Manual QA is time-consuming—Auto QA does the heavy lifting. It frees up team leads by automatically reviewing conversations with accuracy and consistency, so they can focus on improving support.
Auto QA scores 100% of private text conversations, whether handled by a human or AI Agent. It evaluates support quality based on Resolution Completeness, Communication, and Language Proficiency.
Auto QA supports multiple languages but provides feedback in English. It can assess tickets in any language supported by OpenAI’s GPT-4, ensuring global teams can benefit from automated QA.
Start with individual meetings before a team-wide rollout of Auto QA. One-on-one conversations help address specific agent concerns and ensure a smooth transition.
Customer satisfaction scores (CSAT) have long been the go-to metric for measuring support quality, with 53% of customer experience leads relying on them. However, CSAT only tells you part of the story.
When customers rate their experience 3 out of 5, what does it really mean? Did they rate the agent’s actions or the company’s policies? Was an agent helpful or inefficient? Did they take unnecessary steps to get to the answer?
Quality assurance checks can fill these gaps, but manual QA is a heavy lift. Team leads often struggle to review more than a small sample of conversations, leaving many issues unchecked.
Auto QA redefines quality assurance for today’s support teams. It transforms QA from a manual task into an automated feedback engine that helps your team deliver excellent support, every single time.
Let's dive into how Auto QA works, how accurate its scoring is, and how you can add it to your support workflow to start improving customer conversations today.
What is Auto QA?
Gorgias Auto QA upgrades the customer service QA process by automatically evaluating 100% of private text conversations, whether handled by a human or AI Agent.
Each message is scored on metrics like Resolution Completeness, Brand Voice, and Accuracy, helping teams fix and address areas of improvement.
With an automated QA process, brands can:
Save time: Automated quality checks help team leads focus on the most critical tickets.
Ensure consistency: Both human agents and AI agents are evaluated with a unified, comprehensive quality score.
Boost performance: Agents can receive targeted coaching to provide more consistent customer experiences.
Meet customer expectations: Customers benefit from higher-quality support with quicker resolutions and accurate responses.
How Auto QA works
Let's explore a real-life scenario: A customer reaches out about a product issue, seeking troubleshooting help. Here’s how the interaction unfolds:
Customer: "Hi, my device broke, and I bought it less than a month ago. -Kelly"
Support Agent: "Hi Kelly, please send us a photo or a video so we can determine the issue with your device. -Michael"
The ticket is eventually closed, but the customer doesn't leave a CSAT score.
In this case, Auto QA would provide the following insights:
Communication Score: 3/5. Reason: The agent's wording could benefit from more empathy.
Resolution Score: "Complete". Reason: The agent effectively addressed the customer's concerns.
Access Auto QA right within the ticket view. Find it on the right-hand side of customer conversations.
How accurate is Auto QA’s scoring?
Auto QA uses a comprehensive scoring system that evaluates conversations on communication proficiency and knowledge accuracy.
To ensure accuracy, Auto QA only scores interactions with at least 250 characters and messages from both agents and customers. It's also smart enough to filter out automated responses, spam, and bot messages.
Auto QA automatically scores three main aspects:
Resolution Completeness: Did the agent solve everything the customer asked about? This area is scored with a "Complete" or "Incomplete.” For instance, it correctly marks a ticket as "Complete" when a customer resolves their issue or when there's no clear question to address.
Communication Quality: How well did the agent listen and show empathy? Uses a 1-5 scale, looking at how well your agents acknowledged a customer’s concerns and communicated the solution.
Language Proficiency: Did the agent communicate properly? Uses a 1-5 scale to check spelling, grammar, and syntax.
For deeper feedback, certain criteria require manual scoring from team leads:
Accuracy: How accurate was the information provided by the agent?
Efficiency: How quickly did the agent handle the ticket? How well did they minimize the number of follow-ups?
Internal Compliance: How closely did the agent follow your team’s internal processes and brand guidelines?
Brand Voice: How well did the agent use brand vocabulary, greetings, sign-offs, and tone of voice?
Improve Auto QA scoring by clicking the triangle to expand each category and entering feedback into the textbox.
How to integrate Auto QA into your workflow
Whether you're just starting with quality checks or transitioning from manual QA, Auto QA can seamlessly fit into your existing processes. Here's how to get started.
1. Set your standards
What does “good” look like for your team? Review Auto QA's scoring system and decide which metrics matter most for your brand, from Resolution Completeness to Brand Voice. This will help you set realistic targets for your team to work toward.
Tip: Start by prioritizing a couple of areas. This could look like prioritizing a 5/5 Resolution Completeness score while deprioritizing Brand Voice. As your team gets comfortable with Auto QA, you can ramp up to improving Brand Voice.
2. Agree on a scoring system
Since some criteria—Accuracy, Efficiency, Internal Compliance, and Brand Voice—require manual scoring, it’s best to agree on how your team will use the scoring scale.
For example, each score from 1 to 5 receives a distinct piece of feedback. Here’s what that would look for the Efficiency criteria:
1/5 stars: Excessive back-and-forth that could have been avoided
2/5 stars: Resolution took longer than necessary due to poor process
3/5 stars: Average handling time with some unnecessary steps
4/5 stars: Quick resolution with minimal back-and-forth
5/5 stars: One-touch resolution
3. Prepare your agents
Start rolling out Auto QA through individual meetings with agents rather than overwhelming your team with a general training session. One-on-one conversations allow you to better address each agent's specific questions and concerns. Make sure to cover the following:
Explain that Auto QA is meant to help make conversations consistent, not police agents
Explain the scoring criteria and what each score means
Highlight which criteria agents should prioritize
If regular one-on-one meetings aren't part of your routine, consider introducing Auto QA during your weekly team meetings or through a dedicated training session. Just remember to leave plenty of time for questions and walk through multiple examples to ensure everyone is comfortable with the system.
4. Establish a review schedule
To solidify QA checks, create a simple routine for reviewing Auto QA insights with the Auto QA Report (navigate to Statistics > Auto QA).
Weekly: Do a quick check of automated scores.
Monthly: Analyze trends and patterns across conversations.
Quarterly: Review and adjust quality benchmarks.
Monitor the number of tickets Auto QA has reviewed, your average resolution completeness rate, and your communication score.
5. Act on insights
Once you’ve collected a substantial amount of Auto QA data, there are a few follow-up actions you can take to continue having high-quality conversations:
Set the example by sharing high-scoring conversations in your team meetings.
Coach agents individually by reviewing their tickets together. Celebrate high-scoring conversations and provide targeted feedback on areas for improvement. This immediate, personalized approach helps agents grow faster than general training sessions.
Increase product and policy knowledge by refining internal guidelines on brand voice, escalation processes, and more.
Remember, Auto QA works alongside your existing processes—it doesn't replace them. Start small, focus on the metrics that matter most to your team, and scale up as you get comfortable with Auto QA.
Brands are excited about the power of Auto QA
We invited leading ecommerce brands to beta test Auto QA, and their feedback highlights how it's transforming quality assurance across support teams of all sizes.
amika's support team values the complete visibility beyond CSAT: "Auto QA dramatically widens the volume of tickets we can review," they share. "A 5-point scale only tells you so much, and relying on consumers providing feedback limits what you're able to learn from."
Peachybbies' CX team enjoys real-time improvement: "Being able to give real-time feedback is pivotal, especially during peak times," their team explains. "Auto QA catches pretty much everything I'd want a human QA agent to catch."
OSEA Malibu's managers discovered operational insights: "It helps managers understand when a macro or process is leading to incomplete conversations versus when an agent made a mistake," their support lead shares.
Bring quality into every conversation with Auto QA
By prioritizing QA, your team can identify potential problems early, reduce errors, and improve overall performance, leading to a smoother, more reliable experience for customers––and your CX team.
In the long run, brands focusing on QA can gain a competitive edge. Book a demo now to see what Auto QA can do for you.
There are tons of CX metrics you could be tracking. But where you spend your time is crucial as a customer experience leader.
According to recent data, these are the top five CX metrics for you to prioritize and improve on in 2025.
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Why CX metrics are essential for success
Not tracking CX metrics is like putting a loaf of bread in the oven but leaving baking time to chance. Without a set timer, you could end up with an underbaked bowl of dough or a burnt mess. Unless you have a sixth sense, it’s going to be really challenging to end up with something good.
In the same vein, metrics provide clear parameters for success. Meet or exceed them and your team is doing well; fall short and you’ll be better equipped to identify pain points and solve them.
Measure success and ROI. By tracking KPIs like resolution time, first response time, and CSAT, you can gauge the health of your customer support program and potentially justify investments in CX initiatives in the future.
Identify customer and team pain points. Metrics help uncover areas where customers or your team is struggling. For example, high resolution times or low CSAT scores signal friction in the experience that you can address.
Create accountability within your team. When everyone on your team understands what success looks like, it aligns efforts and keeps everyone focused on shared goals.
Prioritize resources. Metrics guide CX leaders on where to allocate resources—for example, leveraging AI and automation to tackle repetitive tickets when ticket volume adds up or resolution times are getting high.
Get proactive. Metrics reveal trends in customer behavior which can help you predict customer needs and make proactive adjustments in your CX strategy. By monitoring customer sentiment and acting on feedback, CX leaders can create more personalized and positive experiences.
Tip 💡: AI and automation can be valuable sidekicks as you look to optimize and improve on metrics. That’s especially true for busy periods: in 2024, 70% of CX leaders relied on AI and automation during peak seasons.
70% of CX teams use AI and automation to handle support inquiries during the holiday season. Gorgias
Resolution time should be your main focus for 2025
In our 2024 customer expectations survey, we asked CX leads and agents which metric they used to track success. Here’s what they said:
Resolution Time (71%)
First Response Time (59%)
CSAT (53%)
Revenue or Sales Impact (41%)
Ticket Volume (41%)
Resolution time is going to be a key differentiator for your team this year. It should be your primary focus when it comes to optimizing different facets of your customer service strategy.
71% of CX teams used resolution time to measure success during the holiday season in 2024. Gorgias Customer Expectations Survey
Top 5 CX metrics for 2025 & how to improve them with AI
1) Resolution time
Resolution time is the average time it takes to resolve a customer request from start to finish.
How do you calculate resolution time?
To calculate resolution time, you’ll take the total resolution time within a set period and divide it by the total number of customer interactions your team tackled within that same time frame.
Average resolution time = Total resolution time in a defined period / Total number of customer interactions resolved in that period
How to use AI & automation to improve it
According to a 2023 study from Statista, 70% of support leaders noted that the customer support metrics that AI had the greatest positive effect on was resolution time.
You can use automation tools to send Macros to answer common questions, or leverage AI to interact as an agent via email or chat. The instant nature of these tools means that customers won’t have to wait in a queue for your team to get to them.
For example, Wildride implemented Gorgias's AI Agent to manage an influx of 1,000 tickets per week. After AI Agent took over 33% of email inquiries, the team saw a 24% decrease in resolution time. That allowed the team to focus on more complex issues, streamline their support process, and make their customers happier.
2) First Response Time (FRT)
First response time is the length of time it takes for a customer service team to send the initial reply to a customer inquiry.
How do you calculate first response time?
To calculate average first response time, take the total amount of time it took for your team to respond to initial customer requests and divide by the total number of tickets within a set time frame.
How to use AI & automation to improve it
Your team is busy––when they’re not tackling repetitive questions, they’re helping customers with complicated or high-effort requests. All of that work is going to bog down your FRT, especially during more buzzy periods like sales, new releases, or over the holidays.
By using AI to jump in to handle those more routine requests, you can significantly reduce your FRT and give your team time back to tackle more heavy-lift needs.
For example, AI Agent helped Glamnetic achieve a 91% improvement in first response time during Black Friday Cyber Monday (BFCM) 2024. They got FRT down from their pre-AI Agent time of eight minutes to 40 seconds.
Here’s what that looked like in practice:
AI Agent helped Glamnetic reduce first response time by tackling repetitive tickets like change of address requests. Gorgias
3) Customer Satisfaction Score (CSAT)
CSAT scores show how satisfied customers are with a product, service, or interaction, typically gathered through surveys.
How is CSAT calculated?
CSAT is calculated via a five-point rating scale survey sent to customers after a support interaction, where one is the worst experience and five is the best. While it can be calculated in different ways, at Gorgias the average of all survey responses is your CSAT score.
How to use AI & automation to improve it
When customers reach out for support, they’re expecting a fast response––regardless if they have an issue or are contemplating their next purchase.
That’s why using automation or AI tools to provide that lightning quick response, even if it directs shoppers to a self-service resource, can be extremely effective in raising CSAT scores. These responses could be sent by an AI agent that responds like a human agent would or an automated Macro built to fire off pre-crafted templates to common questions.
In luxury golf brand VESSEL’s case, customers felt that the AI responses were helpful and seemed on-par with the level of support they’d expect from a human agent.
“Our customers expect almost immediate responses, and so being able to automate that, even if it's not necessarily the exact answer that they're looking for, but being able to send over information to give them the reassurance that we're looking into it or trying to find an answer, whatever it may be, that's been a huge help to our team,” says Lauren Reams, the Customer Experience Manager at VESSEL.
4) Revenue or sales impact
The direct or indirect effect of customer service or business activities on generating sales or revenue.
How do you calculate it?
There are different ways to calculate revenue generated and the sales impact of customer support, and quantifying the indirect impact can be difficult. But generally, the formula looks like this:
ROI = [ (Money earned - Money spent) / Money spent ] x 100
Leveraging AI and automation can provide significant cost savings because it acts as an additional agent who can tackle repetitive questions, translating to money saved on the time it would take for human agents to manually answer those questions.
The results are tangible: by automating 48% of inquiries, Dr. Bronner's saved $5,248 in the first month, and $100K in the first year.
Jonas Paul Eyewear saw revenue influenced by AI Agent as well: the team tracked $600 of sales revenue directly to the tool after it effectively answered pre-sales support questions from shoppers.
AI Agent supports pre-sales questions by offering detailed responses, like which glasses would work best for a customer’s 8 year old son. Gorgias
5) Ticket volume
Ticket volume is the total number of customer service inquiries that a team receives over a specific period of time.
How do you calculate it?
The customer support tool you use will be able to calculate ticket volume for you, as it’s the total number of tickets that have come in within a set amount of time. If you don’t use a CX platform yet and are still using something like Gmail or Excel, you’ll perform this count manually.
How to use AI & automation to improve it
Set rules to trigger automated responses to common questions, or ask an AI agent to completely take them off your team’s plate.
Arcade Belts, for example, saw a 50% reduction in ticket volume by using Gorgias’s AI Agent.
How to get buy in to improve your CX program
Tracking CX metrics is valuable for more than just gauging your program's effectiveness. The more you improve upon your CX metrics, the more you can leverage them to prove your support function’s value within your company.
Tie CX to revenue. Show how improvements in customer satisfaction or repeat purchase rates directly impact revenue growth.
Show industry benchmarks. Compare your team’s stats to competitors or industry averages to demonstrate how well your support strategy is working.
Demonstrate your team’s impact on sales and retention. Use the metrics you’ve collected to show support’s impact on converting customers asking pre-sales questions and getting repeat customers.
Ask to expand your team’s budget. Pitch acquiring additional buy in and resources by presenting revenue generated, costs saved through tools like AI and automation, and happy customers created.
How to use metrics to evaluate AI performanceIf you want to transform customer experience for the long term, the AI tools you use should never be “set it and forget it” solutions. Just as you do with your human agents, you can use metrics to evaluate your AI agent to make sure it’s performing well. If you use Gorgias, you’ll find these metrics under the AI Agent dashboard.
Review AI Agent’s performance within the Statistics view. Gorgias If you’d like to change the metrics you see here, select “Edit Columns.”
Navigate to the ‘Performance’ section to switch out the metrics you track for AI Agent. Gorgias
It’s also easy to retrain your AI's performance by adjusting settings like Guidance, refining the internal documents it draws from, setting up brand voice, or creating a Handover topic list to escalate certain types of tickets to human agents.
Start tracking top CX metrics
Whether you’re new to being a CX leader or you’re a seasoned pro, tracking and improving on your CX metrics will help your team stand out among the rest. A key way to improve them is to leverage AI and Automation tools, and Gorgias is here to help you do it.
AI Agent on Chat automates up to 50% of chat conversations. It ensures customers get fast, context-aware answers, product recommendations, and seamless handovers to human agents when needed.
AI Agent goes beyond automated tools like Flows and article recommendations. Unlike pre-set FAQ flows or suggested Help Center articles, AI Agent can handle complex inquiries like modifying orders and providing personalized product recommendations.
Setting up AI Agent on Chat is quick. Brands can activate AI Agent with a few clicks, improving efficiency during peak seasons and reducing the need for follow-ups.
Updating AI Agent’s knowledge and behavior ensures the best customer experience. Businesses should refine their Help Center, set Guidance instructions, personalize AI Agent’s tone, and test responses before going live.
It’s clear that shoppers want answers fast—chat accounts for 20% of all customer support tickets.
The appeal is obvious: Chat is an easy-to-access customer service channel for quick questions and a convenient and subtle way to cross-sell complementary products.
But without the right chat tool, brands risk losing these valuable opportunities.
Introducing AI Agent on Chat, a conversational AI assistant that can automate up to 50% of chat conversations. This new feature upgrades chat by combining agent knowledge with superhuman efficiency and response times.
Now, customers can guarantee personalized interactions at any point of the shopping journey—whether they’re looking for a quick answer or a tailored recommendation.
With AI powering every interaction, one-to-one conversations become a seamless part of every customer experience.
Why Chat is better with AI Agent
Before AI Agent, customers reaching out through chat outside business hours had two options: following pre-set Flows (automated FAQ conversations) or browsing through suggested Help Center articles.
These features are great for quick answers to basic questions, but AI Agent takes support to the next level by handling more complex needs like modifying orders or offering personalized product recommendations.
With AI Agent in Chat, customers enjoy dynamic, real-time conversations available on multiple channels. AI Agent generates personalized responses that match exactly what customers ask for, automating 50% of chat interactions so agents get time back to upsell, create stronger relationships, and craft better experiences.
Upgrade your chat support from a basic Q&A tool into an intelligent assistant that handles customer inquiries 24/7. Here's how AI Agent makes that possible:
Real-time conversations
AI Agent responds within 15 seconds or less, offering fast responses that result in frictionless conversations. Unlike traditional chatbots, AI Agent also adapts to your brand’s unique tone of voice to enhance the customer experience and assure shoppers their questions will be taken care of.
AI Agent is context-aware and uses information from its knowledge sources to respond to customers in real time.
24/7 availability
Today’s shoppers expect instant responses regardless of time zone or business hours. AI Agent on Chat means customers get the help they need, when they need it. This availability leads to higher customer satisfaction and fewer abandoned carts.
Instant product recommendations
AI Agent understands context and customer intent. Whether a shopper needs help finding the right product size or changes their mind and wants to compare features, AI Agent customizes its recommendations for each person.
Intelligent handovers
Some conversations, like technical issues or complaints, need a human touch. AI Agent recognizes these situations and smoothly transfers them to the right agent.
Using Handover topics, you can choose which types of inquiries should go straight to human agents. Then, if AI Agent lacks the confidence to provide an answer or can’t locate relevant knowledge in its database, it automatically escalates the conversation.
Based on Hiver’s 2024 study, 62% of customers prefer live chat to other support channels. With AI Agent in Chat, agents can cut down average response times while customers get the answers they need in one conversation with zero wait times or follow-ups.
Easy setup
AI Agent on Chat is ready to use in a few clicks. Simply connect your Shopify store and Chat widget to AI Agent, and you’re ready to resolve questions asked by visitors and loyal customers faster than you ever have.
Capture the growing demand for live support
Chat is often a customer’s first touchpoint with your brand, whether they’ve just discovered your brand or are on their third order. Meet customer expectations by being available with AI Agent on Chat. The faster you can ease their concerns, the faster they can head to checkout.
Maximize team efficiency
AI Agent makes scaling support effortless, especially during peak seasons like Black Friday. While it handles repetitive support tickets like order status and shipping questions, your team can focus on high-priority tasks like requests from VIP customers.
Onboard, Automate, Observe, and Coach AI Agent to flawlessly integrate it into your team.
Eliminate the need for follow-ups
Drawing from knowledge sources like your Help Center and policy pages means AI Agent can often resolve inquiries within one conversation. No more unnecessary back-and-forths. Quick resolutions = happier and more loyal customers.
How to activate AI Agent on Chat
Ready to get started? Here’s how to activate AI Agent on Chat:
Click Automate in the top left menu.
Select your store from the sidebar, then click on AI Agent.
In the Settings tab, under Chat Settings, select one or more Chat from the dropdown menu.
Toggle Enable AI Agent on Chat on.
Select Save Changes at the bottom of the page.
Already use AI Agent for email? No need to set up Guidance and Handover topics all over again—AI Agent will behave the same way in Chat.
Best practices for setting up AI Agent on Chat
Get the most out of AI Agent on Chat by following these best practices.
1. Prepare and optimize your knowledge base
The Help Center is AI Agent’s brain. This customer knowledge database is the key to AI Agent’s accurate and on-brand responses. To ensure your AI Agent is as trained as your human agents, include important topics in your Help Center like shipping, returns, cancellations, and account management.
No articles yet? No problem! Gorgias has 20+ article templates for you to use and modify. Or, even better, check out the AI Library for AI-generated articles based on your customer tickets.
The AI Library recommends pre-written articles based on what your customers ask you.
2. Set restrictions with Guidance
AI tools perform best when you set limitations. A Guidance is the main way to control AI Agent’s behavior. It is a set of written instructions that outline how AI Agent should interact with customers, handle certain requests, and more.
We recommend publishing a Guidance on the top five questions you receive from customers.
Tip: AI Agent prioritizes Guidance above Help Center articles. Unlike Help Center articles, the content in your Guidance will not be customer-facing.
Access premade Guidance templates or make your own customer Guidance for AI Agent.
3. Personalize AI Agent's voice
The beauty of AI Agent is its ability to speak like one of your agents. Select from Friendly, Professional, or Sophisticated presets—or create a custom tone that aligns with your brand.
AI Agent’s tone of voice can be altered with preset voices or custom instructions.
Use test scenarios to see how AI Agent responds to common customer questions, such as order status, shipping questions, and return policies. To cover all your bases, test AI Agent as both a new and returning customer to make sure it delivers accurate responses no matter the customer's need.
Test AI Agent’s responses to ensure accurate answers.
5. Improve AI Agent’s behavior
AI Agent becomes smarter as it learns from you. Like a human agent, give your AI Agent feedback on its responses, from how it speaks, which topics it escalates, and what actions it takes in certain scenarios.
There are multiple ways to give AI Agent feedback on a ticket:
Mark AI Agent’s message or any of the resources it used as correct or incorrect.
Suggest that AI Agent use a different resource if a better or more correct piece of knowledge exists.
Report an issue to the Gorgias Product team.
AI Agent’s answers improve as you provide feedback.
Coming soon: Actions on Chat
Soon, AI Agent will be able to perform actions like accessing Shopify order details and executing third-party app actions, such as updating shipping addresses and order cancellations, directly in Chat.
Excited to deliver an elevated chat experience? Book a demo now to experience the power of AI Agent on Chat.
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See how Gorgias’s Shopify integration makes customer support easier—fewer tabs, faster replies, happier customers, and more revenue.
By Holly Stanley
0 min read . By Holly Stanley
Managing customer support as a Shopify store owner can feel like juggling too many tools at once.
Constantly switching tabs to look up orders, update customer information, or track returns wastes valuable time. Plus, it prevents your team from focusing on what really matters––delivering quick, personalized customer service.
Gorgias’s Shopify integration solves this. It keeps all your Shopify data in one place, so your team spends less time toggling tabs and more time helping customers. The result? Faster responses, better service, and more revenue.
Below, we break down the eight key capabilities of this integration, each paired with practical use cases to showcase its real-world value.
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1. View Shopify data in tickets
What it does: Shopify order data is displayed directly within support tickets, allowing agents to view essential details like order status, customer information, and transaction history without leaving the helpdesk.
Use case: An agent handling a “Where’s my order?” request can instantly check tracking information and update the customer.
The fashion retailer Princess Polly improved their customer experience team’s efficiency by using Gorgias's deep integration with Shopify. Agents can view and update customer and order data directly within Gorgias, eliminating the need to switch between multiple tabs.
Taking a streamlined approach led to a 40% increase in efficiency, an 80% decrease in resolution time, and a 95% decrease in first response time.
Customer order data, including their shipping address and product details, can be found directly in the ticket.
2. Perform Shopify Actions
What it does: Agents can update Shopify order and customer data with Shopify Actions right in Gorgias.
Key features:
Create a new order: Add existing products or custom items, apply discounts, modify quantities, add notes and tags, and choose to charge taxes. Then set the order as Paid or Pending and email the invoice to the customer.
Duplicate an order: Replicate an existing order and make adjustments as needed.
Cancel/refund an order: Cancel or refund orders by setting quantities to refund, specifying shipping amounts to refund, providing reasons for cancellation, restocking items, and notifying the customer.
Edit shipping address: Update the shipping address for an order.
Insert product links: Add product links or product cards from tickets so customers can add the product to their cart quickly.
Display the customer’s cart: View the exact items the customer has in their cart at the moment they reach out via Chat.
Use case: Agents can perform Shopify actions directly from Gorgias, such as adding products, applying discounts, updating quantities, or issuing refunds.
Agents can perform Shopify Actions like duplicate an order directly from Gorgias.
3. Embed customer-specific Shopify data in Macros
What it does: Create templated responses called Macros with dynamic Shopify variables to automatically incorporate customer-specific information.
Key features:
Dynamic variables: Macros can include variables that pull real-time data from Shopify, such as order status, tracking numbers, and customer details.
Automated actions: Beyond inserting dynamic content, Macros can perform actions like tagging tickets, setting statuses, or assigning conversations to specific agents. The automation streamlines workflows and ensures consistent handling of similar inquiries.
Use case: A customer inquires about their order. With one click, the agent uses a Macro that pulls in the order status and expected delivery date, creating a faster and more personalized response.
Take Try The World, a gourmet subscription service, needed a robust Shopify integration to handle an increasing volume of customer inquiries. By switching to Gorgias, they gained the ability to unify conversations and embed Shopify data directly into Macros. Now, agents could quickly generate personalized responses that included order details, tracking links, and customer-specific information.
Try the World’s support team’s efficiency skyrocketed, enabling them to handle 120 tickets per day, up from 80, and reduce response times to just one business day.
Shopify data lets agents create Macros, templated responses with personalized data.
4. Provide product information with Macros
What it does: Macros with embedded Shopify data let agents quickly and accurately share pre-sale information like product links, stock availability, and discount codes, helping to convert prospective customers into buyers.
Key features:
Dynamic Shopify variables in Macros: Agents can use dynamic variables to pull real-time product information.
Pre-built responses for common questions: Macros can include templated responses tailored for pre-sale inquiries, such as providing direct links to products or applying discount codes.
Use case: A customer asks if a specific product is available in their size and color. The agent can apply a Macro that automatically pulls the product's inventory details and includes a discount code, sending a response like this:
“Hi {{ticket.customer.firstname}}, Great news! The product {{ticket.customer.integrations.shopify.products[0].title}} is currently in stock in the size and color you’re looking for. You can check it out here: [Product Link]. Use the code WELCOME10 at checkout for 10% off your first order! Let me know if you have any other questions!”
How it helps:
Eliminates manual search and typing for agents.
Ensures accurate, real-time product information for customers.
Improves the likelihood of converting inquiries into sales.
5. Enable self-serve order management in Chat
What it does: Using Gorgias’s chat widget, customers can track orders or manage their purchases on their own with no agent assistance needed.
Key feature:
Order management automation: Customers can access real-time order information, including status updates and tracking details, through the chat interface. This automation reduces the volume of live chat inquiries by up to 30%.
Use case: A customer wants to check the status of their recent purchase. By accessing the Chat widget on your website, they can enter their email and order number and receive instant updates on their order's progress, including shipping and delivery information, without waiting for an agent's response.
How it helps:
Automates routine inquiries and frees up your support team to handle more complex issues.
Enhances customer satisfaction thanks to immediate responses.
Reduces the need for multiple communication channels, consolidating support interactions in one place.
6. Use Shopify variables in Rules
What it does:Rules paired with Shopify variables can automate various support tasks, such as identifying specific customer segments or tagging tickets, to boost efficiency and consistency.
Key features:
Automated tagging: Rules can automatically tag tickets based on specific Shopify data. For instance, you can set up a Rule to tag tickets from customers with high order counts or significant total spending as "VIP."
Prioritization of tickets: Rules can prioritize tickets that meet certain criteria, such as high-value orders or repeat customers.
Use case: A customer with a history of substantial purchases contacts support. A rule detects that the customer's total spending exceeds a predefined threshold and automatically tags the ticket as "VIP."
This tag can then trigger other workflows, such as assigning the ticket to a senior support agent or escalating its priority.
How it helps:
Improves customer experience by prioritizing high-value customers.
Maintains consistent service quality.
Rules let you identify VIP customers using Shopify variables.
7. Track revenue with reporting
What it does: Gorgias offers comprehensive reporting that allows you to measure how your support interactions influence sales.
Key features:
Tickets converted: Tracks the number of support tickets that led to a sale within five days of the ticket's creation.
Conversion rate: Calculates the percentage of created tickets that resulted in sales, helping you assess the effectiveness of your support team's interactions.
Total sales from support: Sums the revenue generated from orders associated with converted tickets, accounting for refunds and order adjustments to provide accurate figures.
These metrics are accessible under Statistics → Support Performance → Revenue in your Gorgias dashboard. You can filter the data by integration, ticket channel, tags, or specific time periods to gain detailed insights.
Use case: By analyzing Revenue Statistics, you can identify which support channels or agents are most effective in driving sales. For example, if live chat interactions have a higher conversion rate, you might allocate more resources to that channel.
Additionally, recognizing top-performing agents can inform training programs to elevate overall team performance.
For example, One Block Down, a Milan-based streetwear brand, struggled to manage a growing volume of customer inquiries across multiple platforms. By integrating Gorgias with Shopify, they centralized all customer interactions into a single platform, giving agents instant access to crucial information like order history and returns directly within tickets.
The setup allowed the team to measure the direct impact of their support efforts on revenue.
The result? An impressive 1,000% increase in support-generated revenue and a 1-hour average first response time. By connecting the dots between customer service and sales performance, One Block Down demonstrated how proactive, data-driven support can directly influence the bottom line.
How it helps:
Quantifies the revenue generated from support interactions.
Faster team optimization with data-driven insights.
Understanding the correlation between support interactions and sales can help refine customer service strategies.
Revenue Statistics highlight which support channels and agents are best at generating sales.
8. AI Agent integration
What it does:AI Agent automates Shopify actions like canceling orders, editing order details, and reshipping items.
Key features:
Cancel Shopify order: AI Agent can automatically cancel unfulfilled orders upon customer request, restocking the items and issuing a full refund. A confirmation email is sent to the customer once the cancellation is complete.
Edit order shipping address: When a customer needs to update their shipping address, AI Agent verifies if the order is unfulfilled, confirms the new address with the customer, and updates it in Shopify accordingly.
Replace order item: AI Agent facilitates item replacements in orders by confirming the item to be removed and the new item to be added, checking stock availability, adjusting payments if necessary, and sending an updated order confirmation to the customer.
Reship order for free: In cases where an order is lost in transit or arrives damaged, AI Agent can duplicate and resend the order at no additional charge.
Remove order item: If a customer decides to remove an item from their order, AI Agent can handle the removal, restock the item in Shopify, process the refund for the removed item, and notify the customer of the updated order details.
Use case: A customer realizes they've entered an incorrect shipping address shortly after placing an order. They contact support, and AI Agent promptly verifies that the order is unfulfilled, confirms the correct address with the customer, updates the shipping information in Shopify, and sends a confirmation email—all without human intervention.
How it helps:
Automating routine order management tasks reduces the workload on human agents.
Quick and accurate responses to order modification requests lead to a better customer experience.
Automated processes ensure consistency and accuracy in handling order changes, reducing the likelihood of human error.
Using Gorgias’s AI Agent you can customize multiple Shopify actions with Gorgias.
"Since day one, Gorgias has been dedicated to helping ecommerce brands deliver exceptional customer experiences. We started with a helpdesk to centralize support, then introduced AI Agent to instantly resolve support questions,” says Romain Lapeyre, CEO of Gorgias.
“Now, we're taking the next leap forward with an AI Agent that powers the entire customer journey—anticipating buyer needs, boosting sales, and automating high-quality support. Today, I'm happy to announce Gorgias as the Conversational AI platform for ecommerce.”
Gorgias’s Conversational AI platform will let teams provide fast, scalable, and cost-effective support while helping them drive revenue growth. From automatic order changes and refunds to product recommendations and cross-sells, brands will be able to flawlessly combine their support and sales efforts.
The end result is an AI-powered customer journey where every customer interaction feels complete, personal, and connected, both before and after purchase.
Questions in Chat, resolved in seconds
Last year, we introduced AI Agent for email.
Some brands call their AI Agent Lisa, some call it Wally, and most treat it like a real member of the team. But this reliable support sidekick was only available to answer customers on email—until now.
Get ready for instant responses that tackle support inquiries of all sizes. Now, your customers can enjoy fast responses that keep their shopping experience as smooth as possible.
On top of improving first response times, AI Agent can play an even more critical role in unblocking sales, suggesting products, and driving upsells and cross-sells.
With responses sent in 15 seconds or less, brands can delight customers with near-instant resolutions.
AI Agent can autonomously respond to customers on email and chat.
Let your AI Agent take action
Actions let AI Agent perform customer requests on behalf of your support team. This includes changing shipping addresses, fetching fulfillment status, canceling orders, adding discounts, and more.
You can use a library of pre-configured Actions for popular apps like Shopify, Rebuy, Loop, and more. And you don’t need any technical skills to set them up.
With almost half of queries requiring some kind of update, Actions is your go-to for complete resolutions so you can get more accomplished.
AI Agent can perform actions on ecommerce apps, right from the Gorgias platform.
Quality built into every support ticket
Quality checks have traditionally been manual, time-consuming, and inconsistent. Our brand new Auto QA feature changes that by automatically scoring 100% of conversations on resolution completeness and communication quality—whether from a human or AI agent.
With Auto QA, team leads can:
Scale quality consistently and easily. Both human and AI agents follow the same quality standards, allowing for consistent, high-quality customer experiences.
Coach smarter. Use real-time QA ratings in tickets to give agents targeted feedback.
Track team performance. The dashboard highlights metrics by agent, showing what’s working and where to improve.
Receive automatic QA checks on all customer conversations with Auto QA.
Gain clarity on your AI Agent’s impact
Support teams should be in complete control of their AI. That’s why the AI Agent Report and AI Agent Insights were created—to help you know exactly how your AI Agent is performing and contributing to your customer service operations.
The AI Agent Report provides full visibility into AI Agent’s performance, covering metrics like First Response Time, CSAT, and one-touch ticket resolutions. Fully integrated into your Support Performance Statistics dashboard, the report includes:
The percentage of tickets automated by AI Agent
The number of tickets closed by AI Agent
Success rates for one-touch resolutions
How satisfied customers are with AI Agent’s responses
Monitor AI Agent’s performance with a glimpse into metrics like automation rate, closed tickets, and customer satisfaction.
AI Agent Insights takes it a step further. It analyzes AI Agent’s performance data and provides you with a dashboard of recommendations, including potential automation opportunities, popular ticket intents to optimize, and knowledge base improvements.
Find out which areas of your support workflow could benefit from automation with AI Insights.
Meet your new AI sales assistant
Soon, we’ll be expanding our AI capabilities with the launch of AI Agent for Sales, a tool designed to assist customers on their shopping journey.
AI Agent for Sales helps brands boost their sales capabilities through smart product recommendations, on-page checkout assistance, and personalized conversations. Now it's easier to reduce cart abandonment, suggest complementary products to boost average order value, and overcome pre-sale objections.
This new tool will bridge the gap between marketing and CX, ensuring brands can scale personalized interactions 24/7 without increasing headcount.
AI Agent for Sales is coming to chat soon.
Looking ahead with conversational AI
As we continue to innovate with conversational AI, our focus remains on helping you succeed.
By combining smarter tools with valuable insights, we’re creating opportunities for you to put your customers first and build deeper connections at every touchpoint.
Join us as we pave a new way for the future of ecommerce.
Help your CX team deliver better service with AI quality assurance for fair feedback and consistent customer support.
By Christelle Agustin
0 min read . By Christelle Agustin
TL;DR:
The landscape of QA is moving from manual to AI-powered, where AI can analyze every customer interaction, uncover patterns, and suggest data-driven changes at scale.
Automating QA allows ticket reviews to be routine. This means customers will always receive high-quality support.
Every customer interaction is reviewed with AI QA — not just a sample. This gives support leaders full visibility into performance and service quality.
AI QA saves time and improves agent and AI Agent feedback. By automating ticket reviews, agents receive instant, unbiased feedback, and leaders can focus on big-picture CX improvements.
But answering tickets isn't enough. Responses must also be high-quality, whether from humans or AI. And while customer satisfaction (CSAT) is the standard measure of how successful these interactions are, they have major limits.
CSAT scores don’t tell the full story about whether agents were helpful or if they used on-brand language. These gray areas in quality lead to missed sales, higher return rates, and frustrated customers during peak periods.
AI quality assurance (QA) is changing that. In this article, we’ll see what QA looks like today, how AI can simplify the process, and how CX teams can use tools like Auto QA to improve quality across all conversations.
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Traditional customer support QA is falling by the wayside
Today, QA in customer support is a largely manual responsibility. Customer conversations are reviewed by CX team leads to ensure customer satisfaction and identify areas for agent coaching. Team leads evaluate agent responses against a checklist of best practices, including the proper use of language, product knowledge, consistency, and helpfulness.
However, reviewing tickets takes a long time.
QA is important, but it's hard to prioritize when customers are actively waiting for help with refunds, urgent order edits, or negative reviews. And when CX teams are under-resourced and short-staffed, it’s easy to put QA on the back burner.
What’s more, as AI plays a bigger role in responding to customers, quality assurance must evolve to ensure the quality of AI-generated responses, not just human responses.
Over time, the lack of QA in CX can hold back support teams for three reasons:
Delayed feedback makes it harder for agents and AI tools to improve.
Leaders have less time to train agents and refine workflows.
Inconsistent service risks losing customer trust and loyalty.
What is AI-powered QA in CX?
AI-powered quality assurance (QA) uses AI to automate the process of reviewing customer interactions for resolution completeness, communication, language proficiency, and more.
Instead of team leads spending hours manually sifting through tickets, AI takes over and evaluates how well tickets were resolved by agents.
Shifting this traditionally manual work to an automated process pulls teams out of the weeds and into more beneficial work like speaking to customers and upselling.
Manual QA is prone to inconsistent checks and fewer tickets reviewed compared to AI-powered QA.
With AI QA, routine ticket reviews are not just an optional part of your customer service strategy, they become a permanent part of it. The road to greater customer trust, resolution times, and stronger product knowledge becomes easier.
Manual QA is like trying to review a handful of tickets during a flood of new customer requests. Team leads can only focus on a small sample, leaving most interactions unchecked. Without complete visibility, creating a standard across all interactions is challenging.
Now, switch over to AI QA. You don’t have to choose between QA duty or answering tickets — QA checks are automatically done. You’ll still need to monitor AI’s performance, but now there’s more time to focus on creating strategies that improve the customer experience.
Here’s how AI QA and manual QA measure up to each other:
Feature
AI QA
Manual QA
Number of Tickets Reviewed
All tickets are reviewed automatically.
Only a small sample of tickets can be reviewed.
Speed of Reviews
Reviews are completed instantly after responses.
Reviews are time-consuming and delayed.
Consistency
Feedback is consistent and unbiased across all tickets.
Feedback varies depending on the reviewer.
Scalability
Scales, regardless of ticket volume.
Struggles to keep up with high ticket volumes.
Agent Feedback
Provides instant, actionable feedback for every resolved ticket.
Feedback is delayed and limited to a few cases.
Leader Advantage
Frees up leaders to train the team and improve workflows.
Disadvantageous, as leaders spend most time manually reviewing tickets.
7 benefits of using AI quality assurance in CX
AI quality assurance helps CX leaders move beyond manual reviews by offering fast, thorough insights into performance and customer needs. Here are seven key benefits it brings to your team.
1. Improved visibility into customer interactions
AI QA reviews every ticket, giving CX leaders a complete view of agent performance and customer trends. Nothing slips through the cracks, so you can act on real data each and every single time.
What the team wins: Key areas to focus on to improve the customer experience.
What the customer wins: A consistent support experience where their concerns are fully addressed.
AI QA feedback can highlight confusing policies or common product issues that lead to unhappy customers. With instant feedback, teams can quickly make changes and create better, consistent customer experiences.
What the team wins: Faster fixes for recurring issues.
What the customer wins: A smoother, frustration-free experience.
3. Faster identification of process gaps
Agents can receive feedback that instantly highlights gaps in workflows or unclear escalation steps. This is an efficient way to resolve issues within the wider team before they become more significant problems.
What the team wins: Process issues are solved quickly.
What the customer wins: Faster resolutions with little to no delays.
4. Standardized scoring for AI and human agents
AI QA evaluates both AI Agent and human agent interactions using the same criteria. This creates a level playing field and ensures all customer interactions meet the same quality standards.
What the team wins: Fair evaluations for both AI and human responses.
What the customer wins: High-quality support, no matter who handles the ticket.
5. More time for coaching and training
With less time spent on manual reviews, leaders can dedicate more energy to team development. Training sessions guided by AI insights help agents improve quickly and ensure the team delivers support that aligns with protocols.
What the team wins: More focused skill-building based on data.
What the customer wins: Clearer and more accurate support.
6. Drives continuous knowledge for the entire team
AI QA is helpful for showing agents which areas they need more training on, whether it's being better about using brand voice or polishing up on product knowledge. This leads to better support processes and stronger product understanding across the team.
What the team wins: Better support tactics and product expertise.
What the customer wins: Faster resolutions due to knowledgeable agents.
7. Enhanced customer experience through consistently high-quality support
Since all tickets are reviewed, teams can feel confident they’re delivering high-quality support on a regular basis. Customers get clear, helpful answers, while agents gain insights from every ticket with AI feedback.
What the team wins: Consistent support performance.
What the customer wins: Reliable support they can trust.
How accurate is AI QA?
AI QA analyzes tickets using predefined categories to evaluate how complete and helpful agent responses are. Let’s take a closer look at how it maintains accurate ticket reviews with an AI QA tool like Gorgias’s Auto QA.
It measures multiple metrics
Auto QA evaluates tickets based on three key areas: Resolution Completeness, Communication, and Language Proficiency.
For Resolution Completeness, it checks if all customer concerns were fully addressed. For example, if an agent resolves only one of two issues raised, the ticket is marked incomplete. Tickets where customers resolve issues on their own or don’t respond to follow-ups can still be graded as complete if handled appropriately.
Communication quality is scored on a scale of 1 to 5, assessing clarity, professionalism, and tone. Agents earn higher scores when they provide clear solutions and remain positive throughout the interaction.
Finally, Language Proficiency evaluates whether an agent displayed high proficiency in the language of the conversation. The score considers how well spelling, grammar, and syntax were employed.
Gorgias’s Auto QA scores agent responses based on communication and completeness.
Teams can improve AI with their own feedback
Auto QA isn’t set in stone. Team leads can expand on AI-generated feedback by adding their comments. For example, if a resolution is graded as ‘Incomplete,’ a team lead can explain why and provide additional context. This helps clarify the evaluation for the agent and also helps the AI model improve over time.
How to get started with AI quality assurance using Auto QA
Ready to bring the benefits of AI QA to your team? Here’s how to get started with Auto QA:
Audit your current QA process to identify gaps. How do you currently review tickets? Pinpoint areas where manual QA falls short, such as inconsistent feedback or missed interactions.
Pilot Auto QA with a small team. Introduce Auto QA to a small group of agents to test its impact. This allows you to find out how the new QA process fits into your workflow and how it affects agent performance.
Use AI insights to refine processes. Analyze the feedback Auto QA provides to identify process gaps or recurring issues. Use these insights to update your workflow, improve training, and address root causes of customer pain points.
Gradually scale adoption across the team. Once the pilot is successful, roll out Auto QA to more agents. Make sure everyone is trained on how to use its insights and integrate the tool into daily operations.
Monitor and provide feedback to improve AI accuracy. Review Auto QA’s evaluations to ensure accuracy. Add manual feedback as needed to fine-tune its scoring on future tickets.
Measure the impact on performance and satisfaction. Track key metrics like ticket close rates, resolution times, and customer satisfaction scores. Use this data to understand how Auto QA transforms your QA process and drives better results.
Make high-quality responses a standard with Auto QA
AI QA isn’t just about automating ticket reviews — it empowers CX leaders to focus on what truly matters: training and improving processes.
Leave spot-checking and inconsistent application of policies and brand voice in the past. As a built-in feature of Gorgias Automate, Auto QA makes high-quality customer interactions your brand’s standard.
As a manager of customer experience and retention, I've seen my fair share of customer service challenges. I even co-host the Oopsie Podcast, where we chat with leaders in DTC about their biggest on-job mistakes.
While the occasional error is inevitable, these random blunders don’t determine the quality of your company’s customer support. It’s really about how you address not only these one-off situations but also the bigger challenges that customer service teams face, day in and day out.
In this article, I'll talk through 12 of the most common pitfalls plaguing growing support teams, and give actionable advice to resolve each one.
With some awareness of these challenges, and the right systems to solve them, you’ll set your team up for success and give your customers the A+ experience that keeps them coming back.
Team management and resourcing challenges
Striking the right balance of staffing and skills for a customer service team is tricky. Under-resourcing leads to agent burnout, but overstaffing drives up costs and causes even bigger problems.
Use the strategies ahead to better allocate your company resources, increase the productivity of your team, and maintain consistent service quality (without going over budget).
1) Proving the team’s ROI and getting buy-in for additional agents and tools
Let’s bring it back to basics for a moment: a customer support agent’s job is to answer questions and address customers’ problems, along with maintaining incredible feedback loops. However, too many teams strictly focus on clearing the ticket queue, measuring the impact of their support teams with non-business metrics like response and resolution times.
Of course, these customer support metrics are important. But they’re only pieces of the larger picture of your team’s impact on the business.
Another common pitfall? Aiming for overly broad goals of “surprising and delighting” customers without a real understanding of how support impacts the whole customer journey or business ROI.
The reality is that customer experience (largely driven by the support team) has many touch points across the entire customer journey (from pre-sales to post-sales) that lead to more sales and customer loyalty.
It’s important for your customer service team to proactively measure and prove ROI. Without knowing how much money your customer experience (CX) drives, you’ll never:
Actually understand the impact you're having on the business
Learn about the biggest opportunities to improve your CX
Have up-to-date data about your impact on revenue to ask for more resources from company leaders
Solution: Shift your support team’s metrics and KPIs
If you only measure first response time and average handle time, you're only seeing whether your agents are good at answering tickets. Not whether they’re boosting revenue.
If those are your base measurements, you'll incentivize support team members to act more as sales agents by reaching out to customers proactively to suggest products. This encourages happy customers to leave product reviews and other tactics that boost revenue.
Growing a team? Easy, lots of people are looking for jobs. But scaling with the right people? That’s another challenge entirely. If you hire low-quality agents and provide poor training, your team’s morale, performance, and ROI will begin to snowball:
Solution: Hire agents like they’re sales associates
Hiring skilled customer service reps — that you compensate competitively — is the first key to solving this challenge. People often view customer service as a junior, anyone-can-do-it kind of role. That’s just not the case.
Especially in ecommerce, customer support has a huge impact on revenue. Between pre-sales support and post-sales conversations that drive loyalty, it makes much more sense to hire support reps as though they are sales associates. Because, in many ways, they are.
Once you hire an all-star team, choosing a customer support platform that includes built-in product training (like Gorgias Academy) can improve your onboarding process. Base your training on real data about your support team’s performance to help you focus your training on the areas that matter most.
3) Too many service tickets for your team to handle (especially during busy seasons)
For all the excitement of shopping events like Black Friday and Cyber Monday, there’s also a bit of pre-holiday scaries. Record sales also mean record tickets and record returns. It’s a great season, but an incredibly busy one.
The challenge is keeping up with a high degree of tickets without losing the fast responses and helpful, customer-centric approach.
Solution: Deflect low-impact tickets (without sacrificing support quality) using self-service
The best way to keep up with tickets (and preserve enough energy to nail the most challenging tickets) is to lean on self-service in your chat widget.
Self-service is a bit like a chatbot, but set up for customer success (rather than customer irritation). While chatbots try and imitate people, self-service provides simple functionality and workflows to answer common questions, track orders, request returns, and more.
Watch this video to understand a bit more about what self-service from Gorgias’ Automate can do for your brand:
If you still struggle to meet demand during busy seasons, even with the help of automation, think about how you can engage your larger team, beyond even CX, to help.
I always talk about how everyone at Chomps is trained on Gorgias (whether they work in CX or not) so that if we have a temporary increase of tickets, we can ask anyone in the company to step in and help out. We love the feature that Gorgias allows unlimited seats that allows this to be possible unlike other helpdesk platforms.
Another option to consider are services such as Simplr which provide remote support agents on demand.
4) Managing stress and avoiding burnout from high-pressure situations
Customer service teams are deeply empathetic, wanting to create the best experience possible for every customer. Unfortunately, this can be a double-edged sword. Even if 99% of customers are patient and understanding, it's hard not to dwell on the 1% who are rude or impatient. The frustrated customer messages and the social media callouts take an emotional toll over time, leading to burnout and turnover.
When good reps leave due to unrelenting pressure, it creates gaps in knowledge and relationships that weaken customer service overall. The long-term effects can ripple through an organization, affecting morale, team cohesion, and the reputation of your customer service department.
Solution: Provide your team with the resources they need — before they need them
The key is being proactive in supporting your team, not reactive. If a rep tells you they need help, it's often too late — the stress has already set in. Instead, provide a range of resources ahead of time.
Add additional team members. Empower your team to request extra hands based on early warning signs. Bring in temporary contractors to handle seasonal spikes before things get unmanageable. Or, train employees in multiple departments across your company in CX so they can jump in to help.
Develop go-to templates and scripts. Respond to emails with existing templates (called Macros in Gorgias) — whether that’s replies to shoppers with shipping and delivery problems, customers who got the wrong product, or folks who want to provide positive feedback.
Wellness resources. Implement wellness initiatives like reset breaks and mental health days before burnout sets in.
Being proactive with resources shows your team you care, prevents disengagement, and ultimately provides better customer experiences. Supporting your team’s well-being strengthens service quality across the board.
Technology and customer service tools
New technologies can improve how your customer service teams operate, giving customers a better overall experience. But there’s always the whole "how the heck do we use this?" phase. offering innovative solutions to better processes and elevate customer experiences.
Balancing the excitement of modernization with the hurdles of integration is a common challenge that teams grapple with.
5) Choosing the right tools (and applying them correctly)
Many companies fall into the trap of investing in customer service tools that promise to do it all — from automated chatbots to crowded helpdesks. But trying to be everything for everyone often leads these generalized tools to frustrate customers more than help them.
A general chatbot, programmed to answer a broad range of queries, can misinterpret nuanced or specific questions, leading to inaccurate responses. Instead of guiding the customer towards a solution, it becomes an obstacle, prolonging the resolution process and frustrating customers more. Without customization, the promise of convenience is overshadowed by the bot's lack of specialized knowledge and inability to provide personalized customer service.
Solution: Select tools built for your business goals
Rather than investing in generic tools that promise to do it all, carefully evaluate solutions purpose-built for your business’s specific needs. For ecommerce, this means identifying where automation can step in to handle high-volume repetitive inquiries like order tracking and refunds. Investing in tools designed to deflect these common questions frees your team to focus on more complex issues that need a human touch.
My team uses Gorgias Order Management Flows for self-service order tracking and automated return/refund requests. Customers can quickly check their status, report issues, or start a cancellation without agent assistance. Not only does this resolve the most frequent customer questions instantly, but it also reduces ticket volume so our customer service reps can spend time building relationships through personalized service.
With the right tools to handle common inquiries in the background, your team is empowered to deliver exceptional human-centric experiences.
6) Creating a unified and seamless customer experience across various platforms
Customers jump between email, social, chat, and self-serve, expecting seamless support. A 2019 report from Salesforce found that 69% of customers want connected experiences, anticipating that the customer service representative they interact with across various channels to have the same information.
Yet, delivering omnichannel customer service across all platforms isn’t easy. Siloed experiences across channels frustrate customers and complicate agent workflows.
Solution: Use an omnichannel helpdesk for a seamless customer experience
An omnichannel helpdesk, like Gorgias, unifies customer service delivery across platforms. Instead of toggling between disconnected inboxes, agents handle all queries from one tool. Customers receive quick, consistent assistance whether they email, chat, SMS, or reach out on social media.
Consistent experiences across all platforms build trust
Seamless hand-offs between channels reduce repetition
Unified context gives agents the entire history to personalize interactions
Meeting customers on preferred channels boosts satisfaction
Omnichannel analytics uncover service gaps to improve
With a unified helpdesk, interactions build loyalty rather than frustration. The simplicity of managing all touchpoints from a single window creates seamless customer and agent experiences.
Knowledge and training in customer service
Well-informed, knowledgeable agents provide better service. From inconsistent rep expertise to keeping docs updated, knowledge-related challenges impact customer satisfaction.
7) Customer service representatives don’t have the answer to customers' questions
If a customer calls your company and doesn't get the answer to their question, they won’t leave the interaction feeling good about your brand.
Of course, customer service reps can't know the answer to every question off the top of their head. If your team doesn’t have the correct answers, often it’s a leadership issue. This makes it essential to provide your reps with all the resources they need to address each customer’s needs — fast.
Solution: Create a knowledge base, use templates, and thorough onboarding with product and process information
Lean on a knowledge base videos, and other resources that your customer support staff can use to find answers to common questions. It’s different from an external help center or customer-facing knowledge base and more extensive than an FAQ page. Your knowledge base can be an easy reference tool for agents whenever they need to double-check a customer service policy or product.
You can also program that knowledge directly into your helpdesk. Gorgias allows brands to create templated Macros that are easy to use and customize as needed. You can create templates for common questions and issues, building an internal knowledge base for your agents to pull directly into customer tickets.
Here’s an example from our Macros at Chomps, for a technical question that agents might not know off the top of their heads:
This way, customers get consistent, accurate information, and agents don’t have to guess or dig for an answer.
That said, when it comes to instilling product and policy knowledge, nothing replaces your onboarding and training process. I recommend spending these sessions to educate your reps on the following:
Product and service knowledge
Policy and process knowledge
Customer service tools
Technical skills
Good vs. bad tickets
Brand voice and tone
Soft skills (like how to empathize with customers)
Sometimes support tickets need a higher-up to step in and sort them out. If your company doesn't have clear steps for bumping these tickets up, some might slip through the cracks.
This leads to angry customers who feel your company isn’t interested in fixing their problem.
Solution: Automate the ticket escalation process
Creating policies for escalating support tickets is the obvious place to start in addressing this challenge, but it's also helpful to automate ticket escalation to ensure that no ticket (or customer) gets left behind.
With Gorgias’ Rules, support agents can automatically transfer a ticket to another agent or team without having to manually collect customer information and reassign the ticket.
Gorgias also allows you to create rules for escalating tickets automatically, such as a rule for automatically escalating tickets when the platform's Sentiment Detection feature detects that a customer is angry.
Here’s an example of a Rule that uses Sentiment Detection to flag tickets where someone may leave a bad review:
Customer interaction management
Every chat with a customer matters for keeping them happy and loyal to your brand. The tough part? Calming down heated chats, juggling multiple questions at once, and giving that personal touch even when you're swamped. The way agents handle each chat really shapes how the customer feels.
9) Dealing with a frustrated or angry customer
Dealing with angry customers is a part of the job that very few support agents enjoy.
However, empathizing and working with customers, no matter how upset they are, is just part of good customer service.
Angry customers who eventually calm down are potential customers who might return to your company — they are also less likely to leave negative reviews that could damage your brand image.
Solution: Improve your CX proactively with clear product and policy descriptions (plus self-service)
Most blog posts claim the best way to deal with an angry customer is to practice patience and empathy, maybe with a pre-written script. And if you want that kind of advice, check out this blog post with an example script for how to deal with an angry customer.
But let's look closer at the root of most customers' anger: The shopping experience didn't happen like they thought it would. The best way to mitigate that anger is to lean into proactive customer support:
Display detailed policies (for things like shipping and returns) prominently on your website
Use pop-ups, banners, and mass emails to proactively warn customers about delays and outages before they get frustrated
Build detailed FAQ pages and Help Centers to help customers find answers fast, before they get angry about having to reach out and wait
Chomps
For example, develop a great post-purchase experience to avoid customer anger. Send customers a detailed order confirmation, clear step-by-step information about when their product will be shipped, and how to track their order.
If you’re not sure where to start, listen to your customers. This guide to collecting customer feedback explains how to take insights from customer support tickets.
10) Providing customer service to multiple customers at a time
If you want any hope of achieving industry standards for metrics like first response time and resolution time, your customer support reps need to be able to work with multiple customers in real-time, across communication channels (like live chat and social media).
This is one of the more challenging aspects of the job for small teams. Thankfully, it is also something that the right customer service software can go a long way toward helping your customer service agents achieve.
Solution: Use a centralized helpdesk
If you aren’t already, consider using a helpdesk to manage customer conversations across all channels. A helpdesk pulls these conversations into one centralized inbox so your team can offer omnichannel service — a fancy way of saying offering support to customers on all channels without having to switch between tabs.
Once your helpdesk is up and running, direct your customers away from calling your support line and towards your Contact Us page.
I recommend funneling as much traffic to a Contact Us page as possible because we have Rules set up based on the drop downs that the customer chooses. Those Rules organize the tickets into different views so that we can work based on urgency.
If they want to talk to an agent quickly, use channels like SMS or live chat.
Service quality and efficiency
Delivering excellent service quickly is crucial, yet difficult. Customers expect fast, personalized responses and consistent experiences. Challenges include managing wait times, meeting service-level agreements (SLAs), and upholding quality across a growing customer base.
11) Maintaining a singular brand voice across different customer service agents
Customers want the same feel every time they chat with your brand, no matter which agent they get. But since each rep is different, you might find a mix of tones and messages. It's a bit of a balancing act to keep the brand voice consistent while letting agents be themselves.
Solution: Integrate your brand style guide directly into customer service workflows
Having a solid brand style guide keeps things consistent whenever you chat with customers. To create one, define your brand personality, voice, tone, and writing style. Provide guidelines and verbatim examples for everyday interactions like greetings, apologies, confirmations, and closings. Make sure the language aligns with your values.
Here’s how to put your brand style guide into action:
Incorporate your brand voice directly into canned Macros and automated workflows. Customers will get on-brand, personalized responses.
Ensure all agents can easily reference the guide as they craft customer conversations.
In team reviews, collaborate to improve examples and optimize messaging.
Allow reasonable personalization; agents should represent themselves within the guardrails of your brand voice. The goal is consistency with customer expectations, not rigid uniformity.
12) Slow resolution times
While most customer service teams need to start thinking beyond resolution times, they’re still a tentpole of your team’s performance — and one of the biggest customer service challenges.
Customers expect an immediate response to their questions. This is especially true of younger customers, with 71% of customers between 16 and 24 years old stating that a quick response to questions and issues can drastically improve their customer service experience.
When your team already has more tickets than it can handle, meeting these customer expectations can be a real challenge.
Solution: Give customers instant help with self-service (and prioritize the rest)
Yet again, the answer isn’t to work harder — it’s to work smarter. Rather than trying to answer every question as quickly as possible, set up self-service resources to deflect simple questions and build systems to prioritize the rest of your requests.
I talked about self-service above, but to recap, here are a few easy-to-implement solutions worth considering:
A robust help center with articles and videos to explain your policies and products
A public forum where customers can post and answer questions, which becomes a self-service resource for future customers with similar problems
Once you’ve deflected, it’s time to prioritize. While you could prioritize each ticket by hand (sometimes called manual ticket routing), a helpdesk like Gorgias can help you do this automatically. Here’s an example of automation in Gorgias, called a Rule, that will put any customer requests to cancel a recent order (before it ships) into a priority queue:
The common customer service challenges we've explored aren't just annoying — they directly impact revenue and customer loyalty.
Companies need to take CX seriously (and invest accordingly) to boost retention. We all know I’m a Gorgias girlie. My team at Chomps uses Gorgias for support, and it helps us be fast, helpful, and strategic with our support
If you’re an ecommerce company that hasn’t checked out Gorgias, I really recommend giving it a shot. Most of the challenges are going to be extremely difficult to solve without the right tools. And for my money, Gorgias is the best tool for ecommerce support teams.
A recent McKinsey survey asked customer service leaders about their top priorities in 2023. The most common answers were retaining top talent, driving efficiency to cut costs, and investing in artificial intelligence (AI) solutions. In other words, two of the top three priorities involve customer service automation.
In support, automation can be a scary word: Isn’t automated customer service a bad customer experience? Frustrating chatbots are indeed something to be wary of, customer support automation can actually greatly improve your customer experience while saving your team hours per week on tedious, repetitive tasks.
This is your one-stop-shop guide to customer service automation. We’ll start by sharing some examples of customer support automations that automatically answer customer queries. Then, we’ll move on to some customer support automations to help your support reps skip repetitive tasks and become more productive.
What is customer service automation?
Customer service automation refers to using technology and software to handle customer interactions and other tasks without human effort. It's like having a virtual assistant that can quickly respond to common questions, process orders, solve simple customer issues, and anything else to make things easier and faster for both customers and businesses.
Customer service automation could include automated answers, ticket triage, ticket tagging, and so much more.
7 types of customer service automations to answer customer questions
This first set of support automations gives customers an answer without any agent interaction.
1) Automatic responses
Automatic responses (also called canned responses or Macros) are pre-written responses that get sent to the customer when certain conditions are met. You can send automatic responses for a variety of scenarios, including:
Letting customers know you received their message and will respond soon
Sharing your business hours and telling customers when you’ll be back
Answering basic inquiries (like “Where is my order?”)
With the right customer service software, you can send these automated responses on every channel (email, live chat, SMS, WhatsApp, and social media).
How to set up automatic responses
In your customer service software, you can set up Rules (or automated workflows that fire when certain conditions are met). Tools like Gorgias use AI to scan each incoming ticket and — when the ticket meets the pre-determined conditions — execute the Rule.
Here’s an example from Berkey Filters of an automatic response to let customers know an agent is on their way:
And here’s an example of an automatic response for customers inquiring about the status of their order.
2) AI chatbot
An AI chatbot responds to questions that customers ask in your live chat. Unlike automatic responses, which are pre-written by humans and fire when certain conditions are met, chatbots respond to every message.
The benefit is that AI chatbots can try to respond to any type of question. The drawback is that AI chatbots don’t always have helpful or relevant answers. This can lead to a confusing and frustrating experience for customers.
How to use an AI chatbot
AI chatbots don’t require any setup; you just have to buy and install them. Some automated helpdesks come with a chatbot, while other helpdesks integrate with standalone chatbots. For example, Gorgias integrates with Siena AI.
Knowledge bases and FAQ pages are libraries of pre-written questions and answers that customers can use for self-service.
Technically, knowledge bases and FAQ pages aren’t automated. They offer static content and don’t use any sort of advanced technology to help you skip tasks. However, they help you skip answering tickets by proactively giving customers information that would have otherwise become a customer support ticket.
How to set up a knowledge base
To get started, you can simply create a page on your website with frequently-asked questions. Most likely, your website platform includes an FAQ page template — but here’s an FAQ page template, if you need one.
When you want to upgrade to a full-blown knowledge base, you can find plenty of standalone customer knowledge bases or use a customer support software with a built-in knowledge base.
For instance, Gorgias’s Help Center lets you host a searchable, categorized library of help content — plus, other self-service resources like Flows and self-service order management (both of which we’ll cover below).
With a robust knowledge base, you want to make sure the most helpful gets discovered when shoppers need it most. One way to do this is to use AI to automatically send articles to customers who ask a questions that's covered by one in your knowledge base.
This is a great way to instantly answer customer questions with detailed answers — including images, videos, and other rich elements that you can add to your Help Center.
How to set up AI-powered Article Recommendations
Gorgias's AI scans every incoming message. When it detects that an incoming live chat or email message could be answered by an article in your Help Center, it send the message to the customer. It also gives the customer a prompt — "Was this helpful?" — that lets customers get in touch with a human agent if they still have questions.
Here's an example of Gorgias's Article Recommendations on Parade's website:
Note: You can activate Gorgias Article Recommendations without making your Help Center public. You just need to create articles in the Gorgias Help Center (but not share them externally) and activate Article Recommendations. Gorgias will treat your un-published Help Cetner like a hidden library to send to customers when appropriate.
5) Self-service FAQs
Self-service FAQs are buttons customers click to get instant, pre-written answers. Whereas, automatic responses require input from customers, self-service FAQs don’t require customers to type anything out — they just click a button for an answer.
Here’s an example of self-service FAQs from ALOHAS:
How to set up self-service FAQs
The easiest way to set up self-service FAQs is to use a helpdesk or live chat software.
In Gorgias, self-service FAQs are handled by a feature called Flows. Flows can even be interactive, prompting customers to share information (like their preferences or location) to give a more helpful, personalized answer. Here’s an example of Flows from VESSEL:
Flows give customers an easy, automatic answer to a lot of questions they would normally have. If we just had one response, we would link our FAQ page, but they don't always read that. Flows allow them to interact and get specific answers. —Alisa Ogden, Sales Manager at VESSEL
6) Self-service order tracking
For the average brand, “Where is my order?” (WISMO) is the most common question, accounting for 18% of incoming requests. And based on math from 12k Gorgias merchants, the cost of answering those tickets manually is $12/ticket.
You can offer self-service order tracking to empower customers to track their own orders. This is more convenient for customers, who don’t have to type out a message or wait for an answer. It’s also more streamlined for your support team, who now has to deal with 18% fewer tickets, and can focus on higher-value interactions.
How to offer self-service order tracking
Some chatbots can track the status of your order, but most have a hard time handling those kinds of requests accurately and with real-time data.
If you use Gorgias, you can use Order Management Flows (part of Automate) to let customers see the status of their order in real-time, in your site’s chat widget and Help Center:
After questions about order status, the most common support questions are “Can I cancel my order?” and “Can I get a return?” Automating these return and cancellation requests can be a major time-saver for customer service teams.
Even if you don’t completely automate the returns process — some brands like to have a human approval process — you can automate the return request process. It’s much easier than getting an email that says “I need to return something,” and having to go back and forth to get all the details.
How to offer self-service returns and cancellations
The best way to automate the returns process is to set up a self-service return portal with a tool like Loop Returns. Loop makes it easy for customers to log in, select a recent order, and return or exchange it — completely on their own.
Loop even gently urges customers toward a return, to protect your company’s revenue from expensive returns.
To automate the request process for returns and exchanges, you can use a tool like Gorgias. Gorgias Order Management Flows let customers request a return, request a cancellation, or report an issue with their order in an easy, structured way. They don’t have to type out a message — just log in and make a few clicks.
Here’s an example of Order Management Flows in Loop Earplug’s chat widget (they’re also available in the Help Center):
📚 Interested in improving your returns? Read our guide to reducing returns in ecommerce.
7 types of customer service automations to make agents more efficient
This second set of support automations doesn’t give automated answers; instead, it helps agents work faster, improving the efficiency and productivity of your team (giving them time to focus on human tasks).
1) Personalizing messages
Even if you send responses manually, you can use automation to help personalize the messages. Specifically, you can use variables that automatically pull customer information (like order numbers, addresses, and more) into the message.
This helps your customer service agents offer the most relevant, accurate information possible without forcing them to switch tabs and copy/paste the customer’s information.
Every customer support platform offers some version of variables to help you personalize support messages — even Gmail, if that’s what you’re using. However, the best solutions can pull from your other apps to broaden the scope of possible variables.
For example, Gorgias has 100+ ecommerce integrations so you can pull customer information from Shopify, marketing software, subscription software, shipping software, and more. This makes Gorgias a CRM of sorts: It gathers and stores customer data that you can use to personalize the interactions.
With Gorgias, these variables can even be used in automated responses (on top of responses your human agents send):
2) Assigning tickets
If each of your tickets need to be manually reviewed, you’re adding to your set of customer service challenges, and eating up tons of time. If a generalist agent receives every ticket and manually passes technical or escalated tickets to the right person, you’re delaying the resolution times for those key tickets.
Instead, you can set up automation that scans incoming tickets and automatically assigns tickets to specialized teams, like Level 2 team for complex issues or a team of Support Engineers for technical questions.
How to automatically assign tickets
Most helpdesks include features to automatically assign tickets. To get started, you’ll need to set up assignment conditions. Helpdesks like Gorgias scan every incoming ticket to understand the tone and contents. Then, it can automatically assign tickets based on what it finds based on your set conditions.
You can get creative with these assignments. For example, you can assign:
Repeat customers to a VIP support team
Subscription questions to a subscription team
Wholesale questions to a specialized team
Here’s an example of a Gorgias Rule that automatically assigns incoming live chat tickets to a dedicated team:
3) Prioritizing tickets
Just like assignments, ticket prioritization is another valuable automation. It can remove a manual step if you currently have someone triaging all incoming tickets. Plus, it can make your team more strategic and effective by ensuring you answer time-sensitive or high-value tickets before it’s too late.
For example, you can automatically prioritize pre-sales questions that come in on live chat — these kinds of questions often block sales for someone who’s actively shopping on your site.
How to automatically prioritize tickets
You can prioritize incoming tickets in your helpdesk with Rules, or configurable automations. Just like ticket assignments, Rules fire off automations when a ticket meets certain criteria — including support channel, ticket intent, sentiment and tone, and hundreds of other factors.
Here’s an example of a Rule that prioritizes tickets about orders that were placed in the last two days:
The logic here is that you want to see tickets about recent orders in case someone needs to cancel or change their address — you can catch it before the order ships, saving on unnecessary shipping costs.
If you offer voice support, interactive voice response (IVR) is an easy way to automatically route customers to the right agent and even answer some basic questions without talking to an agent at all.
Have you ever called a business and been told to press 1 for hours, 2 for electronics, and 3 for all other questions? That’s IVR. It saves agents and customers alike tons of time transferring calls and answering repetitive questions.
How to use IVR to automate voice support
Most phone support systems include IVR — you just have to decide how you’ll map out your IVR automated system and set it up. Remember, IVR can automate two things:
Answers: Customers can press a number to get a pre-recorded message, answering common questions without speaking to an agent.
Ticket routing: Customers can press a number to get directed to the right team, department, or location’s phone line.
If you use Gorgias support, you can set up IVR with voice recordings or text-to-speech:
5) Ticket tagging
When agents process tickets, giving a helpful answer is only part of the job. Another key element of support is tagging tickets. Tags help you:
If agents have to manually tag each ticket, you’re adding a time-consuming step to the process. More importantly, you’re opening yourself up to human error. If an agent rushes through their work and misses a few tags, this could skew your data and reporting and cause bigger issues down the line.
Luckily, automation never has an off day.
How to automatically tag tickets
The right helpdesk tool scans incoming tickets and can tag them based on the ticket’s channel, contents, tone, and more. In Gorgias, this automated ticket tagging happens through Rules.
Here’s a Rule that automatically tags tickets as Urgent when they contain key words that indicate the customer accidentally made an error while ordering and needs to update the order before it ships.
You could use a similar approach to automatically tag tickets with customer feedback, shipping issues, product malfunctions, and so on.
6) Closing spam tickets
Another helpful automation helps agents identify which messages don’t need attention.
If your email is publicly available, it’s only a matter of time before you’re added to spam marketing lists. For instance, if your email address is connected to Shopify, you’ll get automated emails for every payment notification. Agents don’t need to deal with these, and you can save time by using automation to clear them from the queue.
How to automatically close spam tickets
You can set up Rules in your helpdesk to automatically detect and close tickets that don’t need an agent’s attention.
Here’s an example of a Rule that targets payment notifications by identifying messages that contain words like “Payment received” or “You received a payment,” as well as messages from emails starting with “noreply@” or “donotreply@.”
Gorgias’s Automate also automatically closes all no-reply tickets. Thanks to Gorgias’s always-improving machine learning, you don’t have to set up a Rule.
7) Proactive chat campaigns
Most customer service is reactive; answering incoming questions and resolving incoming issues. However, top brands know to offer robust proactive customer service. One way to do that is by reaching out to shoppers actively browsing your website.
With the right automation tools, you can automatically reach out to shoppers, targeting certain browsing behaviors and customer attributes (to ensure you reach the right person at the right time). These are called chat campaigns.
How to automate chat campaigns
With Gorgias, you can easily set up chat campaigns to target visitors based on a wide variety of factors:
Total value of the shopping cart
Goods added to the cart (based on product tags)
Visiting particular page
Time spent on a particular page
Time spent on the website
# of visits (new vs returning user or x# of times)
Intent to exit the page
Type of device
Time of purchase
Time of visit (during or outside business hours)
Once you set up the automation, you can write a message that lets the customer know you’re available to answer questions, reminds them of a promotion, offers a special incentive, and so much more.
If the customer replies, they’re connected with a live chat support agent and can get any additional information.
Biggest benefits and risks of automating customer service
Benefits of automating customer service
Why invest in automation? The main reason is to achieve more efficient customer service processes. But let’s drill down into some of the specific benefits.
Faster responses
Automated customer support has a 0-second response time — even the fastest agents could never respond to customer requests that quickly. While automation answers simple inquiries, your team is free to jump on complex issues.
While some brands think that automation ruins the customer journey, response and resolution times are one of the most important customer service metrics to boost customer satisfaction (CSAT).
No human errors
For some issues — like complex or sensitive ones — a human touch goes a long way. But for repetitive, rote interactions, the “human touch” might mean forgetting a step or explaining something poorly. When automation is set up correctly, it never makes an error.
Low costs
Research from McKinsey found that companies save 20-40% on customer service costs with an effective rollout of automation technology. While automation shouldn’t take jobs away from human agents, it can help businesses grow without burning out their agents or falling behind on tickets.
Your tool’s pricing may vary, but Gorgias’s Automate handles an average of 30% of all tickets, for 1/5 the cost of a customer service agent.
Frees human agents for more complex tasks
Your agents have better things to do than copy/paste order statuses. As automation handles more menial customer service tasks, your team can ensure they’re providing the best experience to higher-value customers and more complex issues.
24/7 support
Your business might not have the resources to staff a 24/7 support team, but by automating customer service — even the most basic functions — you can offer a layer of 24/7 support.
Accurate answers and consistent brand voice
People have different communication styles and personalities. They can also make mistakes and cut corners. Onboarding reps may even give the wrong answer while trying to keep up.
Automation is an avenue for ensuring answers are on-brand and accurate. This helps give customers a consistent experience and also helps prevent newer staff members from making unnecessary mistakes.
Works across channels
Customers expect to reach you through a variety of channels, including email, social media, phone, SMS, and more. As your team explores an omnichannel support strategy, customer service tools with automation features can streamline your progress.
Potential risks of automating customer service
Frustrating customers
When automation is used in the wrong ways, it creates a terribly frustrating experience for customers.
AI chatbots are a great example: While they can answer some basic questions, they might also attempt to answer complex questions but return with inaccurate answers. If customers can’t easily get in touch with a human, they’ll leave your site.
The best course of action is to use automation that consistently improves specific parts of the customer experience. Avoid supposedly catch-all solutions. And always give people an easy way to contact a real person.
Robotic answers
Automation — especially generative AI, which writes messages from scratch — can be stiff. Rather than rely on automation to draft messages to customers, consider using automation that triggers a pre-written message from humans (adding customer data where appropriate).
This grants you the benefits of automation while still ensuring the customer gets an on-brand, accurate, and human-sounding message.
Missed opportunities for upsells
If AI automation is responsible for managing too many customer interactions, it might not notice or take advantage of clear opportunities to upsell or cross-sell customers.
For example, if a customer claims their device dies too quickly, your chatbot might generate tips for them to make their battery last longer. A human agent might do that plus send a link to an upgraded device that lasts longer.
The best course of action, again, is to avoid over-relying on automation. Choose automation that’s really great at automating specific tasks, so human agents are still integrated into the process and can capitalize on these particular situations.
Technical glitches
Automation, like any technology, is subject to the occasional glitch or downtime. While this shouldn’t scare you away from using automation, it’s a good reason to avoid over-relying on automation to complete all your customer service duties.
Best practices of customer support automation
Automation is only helpful if it’s strategic and set up correctly. Here are some automation best practices to keep in mind:
Always offer a clear path to humans
Never trap your customers in automation (or chatbot) hell. Always offer a clear path to human support.
The most common example is in the chat widget. Even if a human isn’t immediately available, at least give customers a way to submit a message that your agents answer via email once they’re available.
If you use Gorgias, every automated interaction offers customers a clear path to talk to an agent. Here’s an example of this in action from Steve Madden:
Don’t try and trick customers
Customers generally appreciate the speed and convenience of automation. But they get grumpy when they think they’re chatting with a human, and get an inaccurate, robotic response.
When you’re sending automated messages, consider labeling the message as Automated to be transparent with customers. In Gorgias, automated messages are labeled as automated, and you can choose an avatar that sends automated messages.
Here’s an example of this in action from Loop Earplugs:
Use automation to personalize more, not less
One fear of automation is the robotic, inhuman tone of messages. But automation can actually help you personalize conversations more. The trick? Use on-brand, pre-written messages and introduce variables that automation fills in with customer data.
In Gorgias, you can use a wide variety of variables to populate the automated message with the customer’s name, shipping address, order status, estimated delivery date, and much more.
Choose software built for specific purposes
There’s no such thing as one-size-fits-all automation software. If you’re selling software or a subscription-based SaaS platform, you’ll likely need a different toolset than a vendor selling clothing or tea via an ecommerce website.
Daily interaction types are going to vary considerably. For instance, customer support at a clothing company will deal with sizing and out-of-stock issues or returns and exchanges. None of those needs apply to a B2B software company.
Rather than choosing automation that claims to work for each of these different use cases, choose automation custom-built for your unique needs.
Always maintain the software
Automation isn’t set-it-and-forget-it software. You should consistently review automated interactions and be prepared to tweak your automation software to ensure:
It works as expected and without (frequent) errors
Customers are successfully reaching resolutions with automated answers
You’re adding new applications to maximize the value of automations
Empower humans, don’t replace them
The best automation replaces tasks that don’t need human input, like repetitive tasks that humans find tedious.
Instead of turning to automation as a replacement for a human team, look for ways automation can speed up the work of humans or let humans focus on complex problem-solving and conversations that require empathy and human interaction.
Choose low-code tools
Be sure you’re choosing a tool that aligns with the technical abilities of your team — especially if you don’t have any highly technical staff. Most customer service software companies now design their products with non-technical users in mind, as a result.
Mind data security and privacy
Automation introduces a small amount of risk when it comes to data security and privacy. When shopping for customer service automation software, be sure to check the vendor’s security. At a minimum, look for software that has single-sign-on (SS), SOC 2 Type II certification, and HIPAA compliance.
Discover Gorgias, the automated support software built for ecommerce
Gorgias is the customer service platform built exclusively for ecommerce companies, and powered by a suite of AI and automation features. Your agents will save hours per week by cutting out tab-switching, copy-pasting, and manually assigning and tagging tickets.
Gorgias also features the Automation Add-on, which includes a variety of self-service features to help your customers get instant answers to basic questions. Automate users can automate 30% of all customer interactions — up to 45%, for top users!
Black Friday — Cyber Monday (BFCM) is the most lucrative opportunity for online stores around the holiday season.
In 2022, nearly 10% of all revenue generated between October 1st and December 31st occurred during the BFCM weekend, according to Adobe.
But just like BFCM sales skyrocket, productreturns also surge after the weekend, so much of that extra revenue gets erased.
You can combat Black Friday returns issues in two ways:
Reduce the number of returns. This requires accurate product descriptions, timely pre-sales support, and a clear return policy.
Streamline the return process. Automations, self-service flows, and other similar tactics can make the return process efficient in terms of costs, time, and man-hours.
In this guide, you’ll learn proven tactics for achieving both of these goals and retaining your BFCM revenue.
Common reasons why customers return BFCM purchases
Regardless of the specific numbers, most ecommerce stores face inflated return rates post-BFCM. There are a few common reasons:
Shipping delays. Shipping companies are overloaded during the holiday sales rush around Thanksgiving, Christmas, and New Year’s Eve. This leads to delays, disappointed customers, and returned items.
Damaged products. With so much on their plate, shipping companies often don’t handle items with enough care. If the product packaging doesn’t account for that, items can easily get damaged along the way.
Products that don’t match their description. Returns happen when there’s a discrepancy between what customers expect based on your site and marketing campaigns and what they get.
Gifts getting returned. Many people do their holiday shopping for Christmas, Hannukkah, and other year-end holidays during BFCM. Plenty of reasons can lead to returns in that context, like wrong sizes, incorrect products, or the recipient not liking the gift in general.
Throughout the following sections, you’ll learn ways to avoid (or at least mitigate) these problems.
How to reduce post-BFCM returns and protect your revenue
While you can’t evade all BFCM returns, you can limit them significantly by following the best practices below.
Plan your BFCM inventory months in advance
A successful BFCM starts way before November. You want to estimate how much inventory you’ll need and order everything at least a few months in advance, depending on how long the shipping process takes for your suppliers.
If you wait too long, you can end up scrambling to secure inventory at times when supply chains are at maximum capability. This can easily lead to shipping delays and returned items.
The best way to estimate how much inventory you’ll need is to use historical data.
For example, if you use Shopify, you can use your Shopify order history data (or the equivalent in your platform) to filter BFCM orders and compare them to the rest of the year. This will give you a good baseline of how much sales typically jump, so you don’t waste money on inventory you won’t sell and don’t miss out on revenue because of understocking.
Providing timely pre-sales support is a powerful way to reduce returns because it lets you:
Point customers to the right products for their needs. That way, there’s less of a chance they return an item because it didn’t meet their expectations.
Answer common questions about product shipping times, returns, and exchanges in advance. Besides increasing customer satisfaction and reducing returns, this has the added benefit of slashing repetitive customer support tickets down the line.
Gorgias — our ecommerce helpdesk software — has various features that can help you implement this strategy.
For example, Flows are self-service Q&As that live in your chat widget and Help Center. Customers can use Flows to get personalized product recommendations, ask about promotions, and learn about your shipping and returns policies — all of which are great ways to instill buying confidence and nudge shoppers toward a purchase.
Here’s an example of Flows from Princess Polly, where customers can find the most accurate returns policy for their location without having to talk to an agent.
They were able to increase sales by 79% and deflect 69% of incoming tickets by educating customers pre-sale thanks to Gorgias’ chat automations.
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Update product descriptions and images
If product descriptions and product photography don’t match what customers receive, high return rates are imminent.
That’s why it’s a good idea to audit your website a week or two before Black Friday and check if each item’s image and description are accurate. Or, if you don’t have the bandwidth, at least audit the best-selling products and ones that are about to be discounted.
One company that does a great job in this regard is Marine Layer. They offer tons of relevant details under their products, including their exact dimensions, the size of the model wearing the clothes, and more.
Here’s an example from one of their product pages:
Source:
This in-depth information helps shoppers make the right choice and helps the brand avoid unnecessary returns down the line.
Test products and packaging before shipping
As I said, broken items are among the most common reasons for returns. You want to ensure all shipments (especially ones containing fragile items) arepackaged in a way that can handle more wear and tear than usual.
If you have access to specialized machines like ECT or Mullen testers, you’re probably doing this anyway. But even if you aren't, the process doesn’t have to be complicated. Just package one or two products and throw them around the warehouse a few times to see how they hold up — we did this at a previous company of mine, and it was educational and entertaining.
Ensure a helpful post-purchase experience
The post-purchase experience begins after a customer completes your checkout process. Making this experience useful for your shoppers will reduce the number of returns and help you create long-term, loyal customers.
Here are four essential post-purchase best practices to follow:
Send clear order confirmation emails
Good order confirmation emails are a must in terms of lowering shoppers’ post-purchase anxiety and reducing unnecessary tickets to your support team.
Make sure to automate them, so that they’re sent immediately after a customer completes your checkout flow. The email itself should include:
A verification that the order was received and that your team is working on it
A description of the products included in the order
The order’s number and expected delivery date
What customers should expect next (e.g., a follow-up email when their order is shipped or a phone call to confirm the order)
Make it easy for shoppers to track their orders
Giving customers a way to track their orders is a great way to improve their experience and reduce the load on your support team.
For example, you can use Gorgias’ Order Management Flows to let customers check their order status, package tracking number, and shipping details. This is a great way to keep shoppers informed while deflecting WISMO (“Where is my order?”) requests from becoming support tickets.
Let customers know about shipping delays in advance
Whenever shipping delays can’t be avoided, you want to be upfront about the issue with your customers.
Tell them when they can expect the delivery and apologize for the inconvenience. You can also throw in a shipping discount or another incentive if you feel it’s necessary to prevent potential returns.
Show new customers how to set up and use your products
These might be instructions on how to apply a skincare product, wash a piece of clothing, or configure a Bluetooth speaker.
Regardless of the specifics, you want to make sure shoppers have easy access to the necessary information. This will prevent them from returning products just because they couldn’t figure out how to use them.
In some cases, it’s not possible to avoid returns altogether. When that happens, you want to ensure the return process is as cost-efficient as possible, so you can avoid wasting customers’ effort, as well as your team’s time and resources.
Here are three ways to do that.
1) Encourage exchanges instead of returns
This option lets you keep at least part of the revenue and profit margins that would’ve otherwise been lost. Plus, it can help you delight customers with products that they might not know about, so it’s a win-win for both sides.
There are two ways to implement this strategy:
Have your customer service agents suggest exchanges
You can instruct your team to approach return requests as opportunities for an exchange.
If you use Gorgias, your agents can have access to all customer data in one place, so it should be easy for them to suggest relevant products based on each shopper’s previous interactions and purchase history. Plus, with live chat support, your team will be available to customers at every step in the process.
Using a returns tool like Loop Returns
Loop is a returns management app that lets ecommerce businesses embed a self-service return portal on their site.
Besides saving you time (since it’s self-service), the portal can nudge shoppers to exchange their products instead of returning them. This can be done via bonus credits, for example, which give customers more in-store credit than they would get as a refund in the original form of payment.
Source:
Jaxxon is one of the ecommerce brands that employ this tactic on their site. They’ve embedded Loop’s return portal, which helps their agents save time and encourages customers to exchange instead of return.
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They also provide live chat support (via Gorgias) within the portal to answer questions and potentially steer customers away from a return. For instance, their agents can:
Prompt users to exchange their item with a better option of returning it
Explain how the customer can troubleshoot and resolve whatever issue causes them to seek a return
Help the customer through the returns process, so they have a pleasant experience at the very least
Note:Gorgias and Loop Returns can be integrated. This integration allows customers to talk to a support agent while navigating the returns portal. That way, agents have a chance to troubleshoot any issues that may be causing the return (or steer customers toward an exchange).
2) Make your returns policy easily accessible
Another challenging aspect of BFCM is the influx of questions to your support team, many of which have to do with returns, like:
Is there an extended return window for items bought during BFCM?
How long will it take for the product to arrive?
Do you offer free shipping?
And so on
That’s why you should have your returns policy linked in highly visible places on your website. For example, you could place links to the policy in your site’s navigation or even have a small pop-up that encourages shoppers to read it.
With Gorgias, you can reduce the volume and impact of these repetitive tickets even more by:
Using Article Recommendations. With this feature, shoppers can automatically receive an article from your Help Center that answers their question. For example, if they ask about returns or exchanges in your live chat window, they’ll get a succinct answer pulled from your content.
Setting up Macros. These are pre-made responses (or templates) that dynamically pull in customer information like name or order number. You can include links to your return policy in relevant Macros or even create dedicated Macros for answering specific questions about returns and exchanges — like questions about order status, for example.
On Gorgias, you can create a Rule that automatically responds to questions about shipping status.
Bonus tip: Adjust your return policy if necessary
As mentioned, shoppers often buy Christmas gifts during BFCM. If your return window is 14 or even 30 days, most of the people who receive a gift won’t be able to return it in time.
This can lead to bad reviews, angry shoppers, and poor customer retention (especially for first-time customers). That’s why it’s a good idea to extend your return window after Christmas and New Year to ensure a good customer experience.
3) Enable self-service returns
With self-service returns, online shoppers don’t have to wait for an agent to get to their request, while agents can focus on more complex tickets (or on generating revenue via proactive customer service).
To implement this tactic, you first need to provide shoppers with clear, detailed instructions on how to return their items. These instructions should be included on your site (e.g., on FAQ pages or in helpdesk articles) and can even be printed and shipped alongside the product.
As I said earlier, you can also use Loop Returns to provide shoppers with a self-service return portal on your site. Loop’s portal is easy-to-use, so shoppers can go through it without any unnecessary hassle.
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From a revenue protection perspective, you can also have Loop nudge customers toward exchanging items instead of returning them. According to their data, companies that use Loop turn 57% of returns into exchanges.
Use Gorgias to maximize your BFCM revenue
Increases in post-BFCM returns are extremely common and in some cases — inevitable.
However, with the tactics outlined in this article, you can minimize their number and impact on your revenue. You can also streamline the return process, so you’re not spending unnecessary time, effort, and money on returning items.
Here’s how Gorgias can help you in both regards:
Streamline the return process
Gorgias offers a plethora of features that can reduce the load on your agents during this year’s shopping season rush — from automated responses to self-service flows, and much more.
Plus, our integration with Loop Returns lets you create a seamless return experience. Shoppers can use the Loop portal for self-service, while also contacting your team if they get stuck (which is a great opportunity to nudge them toward an exchange).
Keep up with multichannel return requests
Gorgias centralizes all customer service tickets in one place. This means your agents don’t have to waste time switching between tabs to handle return requests from your website, email, SMS, and social media profiles, for example.
Provide pre-sales support and generate more conversions
Your agents can use Gorgias chat campaigns to communicate with customers and help them find the right products for their needs (which helps reduce returns down the line).
They can even create proactive chat campaigns aimed at specific visitors to promote BFCM discounts, cross-sell or upsell specific items, reduce cart abandonment rates, and much more.
Lastly, you can also check out our Black Friday Marketing Guide for 18 ideas and strategies that can help you drive more Black Friday sales this year.
Let’s cut to the chase: Black Friday and Cyber Monday customer support is intense. For ecommerce customer support teams, the flood of tickets is the online store version of shoppers mobbing through brick-and-mortar stores.
It’s easy to focus on just getting through the flood of tickets. But If you’re proactive, your support team could actually reduce the number of incoming tickets with automation. And with all that time saved, the support team can have a huge impact on the cumulative success of the weekend by unblocking sales, reducing return rates, and more.
Customer support teams are not just there to answer tickets during BFCM — they are key at every stage along the customer journey:
An unprepared or understaffed support team is the quickest way to kill your BFCM success. And with $209.7 billion in forecasted online spending at stake, that’s not something you can take for granted. Here are 5 steps to make your support team the hero of Black Friday 2023.
1. Update your customer service policies and SLAs
Ecommerce sales depend on clear policies around shipping, returns, lost packages, and more. When customers don’t know your policies, they’ll either write to your support team (if you’re lucky) or abandon their cart entirely and head over to Amazon (more likely).
In the first case, your support team is stuck answering repetitive questions like, "What's your shipping policy?" when customers should really have easy access to that information on their own. In the second, you’re directly losing online sales because of a lack of clear customer self-service options. Either way, we’re here to help you solve it.
“Make sure all of your policies are up-to-date before Black Friday-Cyber Monday, and communicate them to both agents (through your SLA) and customers (on key pages of your website). This will reduce the number of tickets you have to field and ensure customers have the information they need to make a confident purchase decision.” —Bri Christiano, Director of Support at Gorgias
Policies for shipping and fulfillment during Black Friday-Cyber Monday
Most customers use BFCM weekend to lock in holiday gifts, so their number one concern on BFCM (after what deal they can score) is often around delivery dates. They want to know if their order will make it on time for the holidays.
How to estimate shipping times to inform your shipping policy
Before communicating shipping dates to customers, work backward with your fulfillment team to determine the absolute last day orders can ship and still arrive in time (factoring in holiday shipping delays).
Once that “drop dead” order date has been determined, it needs to be clearly communicated to holiday shoppers, along with any opportunities to speed up shipping for an additional fee.
Here are some common customer expectations around fulfillment you may want to consider (thanks, Amazon!).
Where to put your BFCM shipping policy
Make your shipping policies (and the “drop dead” date) clear in your:
Checkout flow (during the shipping method step and order preview step)
How to address lost packages during Black Friday-Cyber MondayLost or damaged packages are common during BFCM. The first step for addressing the issue is to understand why they go missing in the first place.
Common reasons packages are lost are:
The package was never shipped in the first place
The packing slip fell off or wasn’t properly scanned by the carrier
The package was delivered to the wrong address
The package was damaged (usually by fire or water)
The package was stolen after delivery
Stuff happens. Being upfront about what customers can expect if the worst-case scenario happens is key to recovering and retaining that customer relationship.
Your customer-facing lost package policy should include:
Any limits in coverage for damages
How customers should inform of lost packages
What is required to submit a claim (i.e. pictures, shipping confirmation email, etc.)
How long a package needs to go undelivered before it’s considered lost
And, don’t forget to set your support agents up for success by providing them with a process that explains:
What steps they should take to troubleshoot a missing package
Available macros the team can use in these cases
Clear guidelines for escalating a case to the fraud team (i.e. number of repeated claims, etc.)
This will help your agents handle the process quickly and consistently, and give your customers the peace of mind that they will be made whole if something goes wrong.
If you’re creating this policy from scratch or want to make sure your policy is covering all your bases, check out our guide on how to handle lost ecommerce packages.
Policy for returns and exchanges during Black Friday — Cyber Monday
If you’ve ever bought a gift for “ the person who has everything” or received tighty-whities from Great Aunt Margret for Christmas, you know how important a return policy is. More than ever during the holiday sales season, your customers are going to want to know your return policy. And, while you can’t eliminate the BFCM returns, you can at least reduce the number of them if you understand where they’re coming from.
In addition to gift returns, the top reasons online shoppers choose to return a product include:
Item didn't match its product description and/or customer expectations
Item arrived late and the customer no longer needs it
"Wardrobing," when serial returners buy and return items without any intention of ever keeping products
Merchant shipped the wrong product
Item was damaged or defective
To reduce ecommerce returns, during BFCM or any other time, the more information you give upfront, the less likely people are to return the items later on. Your return policy should be crystal clear to both support agents and customers about the conditions under which you will accept a return for either a refund or exchange. Not sure where to start? Check out our return policy template generator to get started.
Where to put your BFCM returns and exchanges policy
Similar to the shipping policy locations, you want to make your returns and exchanges policy (or at least a link to the full policy) as visible as possible to avoid unnecessary support tickets.
Make your returns and exchanges policies clear in your:
Checkout flow (during the shipping method step and order preview step)
Order confirmation emails
FAQ page
Help center resource pages
Macro templates (where relevant)
Website banner
Product pages
Set customer expectations with your SLAs
A service-level agreement (SLA) is a document that describes what the client or customer can expect from the provider. A strong SLA is foundational to cultivating understanding and maintaining high satisfaction with your existing customers. Making sure your SLA is up-to-date is more crucial than ever when entering into the busiest times of the year when customer expectations are at their height.
Here are some things you should add to (or update) in your SLA for BFCM:
Use plain English and simplify as much as possible. Talk to your target audience in language they’ll understand, to avoid confusion
Design your SLA based on data. Benchmark your SLA expectations against historic data and then adapt to the forecast you calculated above, so you can make the metrics you aim for challenging, but realistic
Set expectations specific to each customer service channel. Different customer service channels will require different policies. For example, social media response times may be longer than in-app chat responses. (Pro Tip: Use Gorgias Statistics to understand your existing response times per channel to help you craft these SLAs).
Build in procedures for worst-case scenarios. Your website might crash, you might have more customers than expected, or there could be other unexpected issues — plan ahead to make sure you aren’t caught off-guard.
Proactively communicate the SLA to your agents and customers. The value of your SLA depends on both of these stakeholder groups understanding the terms, so make sure you communicate it to your agents, to your customers through your helpdesk, and key places on your website (contact us page, live chat widget, etc.).
Berkey Filters, an online retailer that sells water purification systems, does a great job of sharing its SLA for live messaging channels with customers. Their Help page acts as a sort of customer support landing page, setting expectations with customers about the fastest way to reach the team — 2 minutes, for SMS and live chat support.
Your agents have more important things to do than answering the same basic questions over and over (and over and over). The trick? Setting up self-service resources to help customers help themselves.
This includes making information easily accessible by leveraging automation to answer simple or repetitive questions (e.g. “What size am I?”) and making sure your FAQ pages are up-to-date.
With tools like Gorgias, you can even use AI to automatically suggest articles when customers ask last-minute questions in the chat.
Using a helpdesk with chatbot capabilities like Gorgias is one of the easiest ways to help your customers find the information they need, exactly when they need it.
Some examples of ecommerce brands taking help centers to the next level are:
Loop Earplug’s Help Center has easy-to-identify FAQ categories with illustrated buttons. Customers can quickly find the answers they need rather than making them sort through a massive drop-down menu of questions and solutions.
Topical’sQuick Response Flows answer common customer questions in the chat widget, deflecting 69% of tickets that would have otherwise required agent attention and wait time for customers.
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3. Forecast your ticket volume
Gorgias merchant data shows that the average ecommerce business will see a 20% spike in ticket volume during BFCM. That increase in volume can cripple a support team if you don’t take the time to forecast your ticket volume and staff accordingly. You’ll want to make sure your team has the capacity to answer revenue-driving questions in a timely way so your customers don’t abandon carts due to wait times.
Proactive and data-driven forecasting is the key to reducing wait times and increasing revenue on BFCM. Relying on guesswork or reactive staffing measures will likely leave you with burned-out agents and unhappy customers (not to mention tanking CSAT and NPS).
Or, you may find yourself overstaffed and wasting valuable resources on excess headcount, offsetting any bfcm sales you make. Balancing these two extremes can only be done with a strong forecasting strategy.
If you’re unsure of where to start with your strategy, check out the battle-tested, three-step framework for customer service forecasting, the CEO of HelpFlow, Jon Tucker developed. He manages a 24/7 live chat and customer service team for over 100 brands with this strategy, so you know it’s good stuff! Here’s the Cliffnotes version:
Calculate your contact rate (i.e. transaction-to-ticket ratio)
To calculate your contact ratio, simply:
Pull your transaction count for a given period (in Shopify’s UI you can find it under Analytics > Reports)
Pull your ticket volume for the same time period from Gorgias or a similar customer service platform (pictured in the red frame below)
Divide ticket volume by transaction volume to calculate your ratio (e.g. 400 tickets divided by 1,000 transactions would yield a contact rate of 40%)
Easily find your ticket volume for a given time period in Gorgias Statistics Overview.
As a benchmark, HelpFlow usually sees a contact rate of 30-50% for stores that haven’t yet streamlined their customer service experience, and 20% for those with more optimized, automated processes.
Use your contact rate to project ticket volume
Once you have your overall contact rate, the next step is to estimate how many orders you'll experience over BFCM. Your estimated order volume and your average contact rate are the two ingredients you need to calculate the estimated ticket volume.
To build a projection of order volume, look at your historical data for:
Order volume from BFCM the previous year
Business growth over the last year
Market trends surrounding BFCM for the current year
Once you forecast ticket volume, the next step is to determine how many team members you need to handle the volume.
Estimate the number of agents needed for the holiday season, based on past capacity
Start by assessing the number of tickets each agent has the capacity for and then divide the number of forecasted ticket volumes by that number to determine how many agents you need for the holidays.
To calculate agent capacity per full-time agent:
Run a report for the total number of tickets resolved per full-time agent over a specific period using the agent statistics in your helpdesk (in Gorgias, it’s under Statistics > Agents)
Use the average number to set a benchmark for agent capacity (this number will vary by agent, but an average will give you a good working estimate)
Next, divide the forecasted ticket volume total by the average agent capacity to find how many agents you will need.
Easily see each agent’s ticket volume capacity and the average and the team’s average under Statistics > Agents.
Your agent capacity will vary significantly based on your business, agents, and customer service operation. For example, HelpFlow typically sees anywhere from 40 to 60 tickets per day per agent as a healthy benchmark. And, across Gorgias customers, we see an average of ~60 tickets per day per agent in healthy support organizations.
As a general rule, building in a buffer is a good idea, especially if this is your first year creating your forecasting strategy and there may be some variance in the numbers.
4. Find ways to get more customer service help
While hiring additional customer service agents might seem like an easy solution to the BFCM madness, the unfortunate reality is it’s hardly the time to ramp up new employees.
It’s better to first take a hard look at your existing processes and see where you can optimize for the team you already have, and/or outsource to seasoned pros. This will not only help you run your customer service more effectively but will also help you avoid excess headcount after the holidays.
Offer your existing agents overtime
After you’ve optimized your existing process, consider offering your current agents overtime pay rather than hiring unseasoned agents that would be in excess come January.
For example, if you typically have five agents working eight-hour days, offer an additional 90 minutes each day during the holidays at a holiday-exclusive overtime pay rate. By doing this you can add the equivalent of another full-time agent (i.e. 90 mins per day x 5 agents = 7.5h of workload per day).
Here are some tips from Tucker, to maximize the impact of team overtime:
Don’t surprise your team with overtime: Keep them informed of upcoming volume so they’re not blindsided and resentful for being asked to extend their shifts.
Cultivate a sense of comradery: Keep your team informed of forecasts and potential issues — and brainstorm solutions together. This not only creates a sense of teamwork that makes overtime easier to implement but you also may uncover solutions you haven’t thought of.
Show your appreciation: Offering time-and-a-half pay for overtime hours is a great incentive for agents, and will most likely be more cost-effective than letting sales and customer satisfaction slip.
Agent burnout is a real problem, especially since the pandemic, so be careful asking for too much overtime from your current agents. However, it can be a great short-term solution, especially if you have a healthy team culture. Just make sure you’re following any relevant HR rules and regulations — the penalties can be severe if you aren’t careful.
Bring in an outsourcing agency or BPO
If the amount of overtime your team can work won’t bridge the gap in headcount needed during the holidays, it’s time to look externally for resources. But be forewarned, not all Business Process Outsourcing (BPO) or customer service outsourcing agencies are created equal.
Choosing the right partner agency
“A great outsourcing agency or BPO should be providing advice to make your team more efficient, not just providing temporary agents,” says Tucker. “The net result of finding the right partner is not only the additional tickets from their agents but also the increased output from your existing team.”
Tucker said some of the best ways to find a great customer service vendor is to:
Vet your potential agencies’ training processes: This training should be extremely methodical, robust, and agency-driven — it’s a red flag if you’re expected to train their temporary agents.
Look for an agent turnover rate of less than 10%: It’s common for customer service agencies to have turnover rates of 30% or higher, which means you will be constantly onboarding new hires. (HelpFlow’s turnover rate is only 1% per year, so you’ll get experienced, fully-ramped agents who can hit the ground running during BFCM)
Seek an agency that asks questions: If they seem desperate for business and fail to dig into the mechanics of your business to know if they can help, it’s a sign they won’t go deep on training either.
5. Double down on chat for BFCM support
Imagine a customer is rushing to get a deal on that one item their kid really wanted for Christmas. They only get as far as the product page when they realize they’re not sure which model is compatible with their kid’s current tech setup though. So, they call your customer support line, but agents are slammed because it’s BFCM and the estimated wait time is over 20 minutes.
The customer, wanting to make sure they get this special gift while it’s still in stock, quickly searches Google for the specs. They land on the site of another retailer that has the product in stock at a comparable price. Better yet, before they even have a chance to try and find the information themselves, a friendly chat assistant welcomes them and asks if they need help finding anything.
The chat conversation quickly helps them determine what model they need and even sends them a direct link to the product page for it after just a brief dialogue. The customer, rather than shuffling through all their tabs to find the other retailer’s site, decide they might as well just purchase the item on the second site since they’re already on the exact product page they need.
This is what chat does best; they help customers while they’re in the flow of shopping. Wherever your customers are on the site, chat keeps all of the information right at their fingertips so they stay on-site and in the online shopping flow. According to recent studies, chat can boost conversion rates by as much as 12%!
With a tool like Gorgias, you can set up chat campaigns that target customers and automatically pop-up based on browsing behavior, pages visited, dwell time, and more. You can use these chat campaigns to offer real-time support, deal notifications, offer unique incentives, and more.
Learn more about how chat campaigns can help you improve the pre-sales customer experience and drive more sales during BFCM (and beyond).
How Gorgias helps support teams drive revenue on Black Friday and Cyber Monday
If your BFCM strategy over-relies on expensive marketing ideas to win new customers, you’re missing out. Of course, acquiring customers is important — but their value is only truly realized if you can keep them around.
According to Gorgias data, repeat customers make up only 21% of the average brand’s customer base but generate 44% of that brand’s revenue because they shop more often and place higher-value orders.
The easiest way to cultivate customer retention beyond the holiday season is through great customer support. And, the best way to provide great customer support is by giving your customer service teams the tools they need to streamline operations.
Gorgias helps empowers your support teams to retain customers by:
Centralizing interactions across all ecommerce channels through powerful integrations to reduce tedious tab switching
Automating answers to common requests to skip mind-numbing questions and reduce overall ticket volume to manageable levels
Empowering agents to engage in meaningful customer interactions by automating repetitive tasks like ticket triage and tagging and updating orders
Boosting sales with pre-sales support, proactive chat campaigns, product quizzes, and more features that power upsells and cross-sells
Providing the data needed to continually optimize for the best agent and customer experience
Looking for some customer support statistics to develop your business strategy for 2023? You’re in the right place.
Understanding customer expectations and their impacts on your business is a great way to improve your company’s customer service. For example, it can help you:
Make your request for more support resources more compelling and data-backed
Inform your strategy, including deciding where to invest
Benchmark your performance against similar companies
In this post, we’ve gathered tons of customer support statistics all in one place so you can understand the objective numbers behind the state of customer service as it stands now.
Customer service stats takeaways
Technology has driven the evolution of ecommerce in many ways, and the same trend rings true when it comes to customer service. Some of the biggest takeaways from this data include:
Customer expectations are growing. 79% of businesses believe that customers are smarter and more informed now than in the past. They expect A+ service from every brand. Bad customer service experiences will even cause shoppers to look for alternative options.
Seamless cross-channel journeys are challenging, but essential. 53% of consumers say customer support interactions feel “fragmented.” This is a critical challenge, as customers expect the same experience regardless of when and how they’re interacting with brands and service teams.
Artificial intelligence (AI) is here. 64% of service professionals who use AI believe it allows them to personalize and improve the service they provide. AI technology is a cost-effective way for brands to keep up. And modern consumers are warming up to the idea, easing concerns about AI leading to bad experiences and issues with privacy, trust, and ethics.
Excellent customer service is becoming both more challenging and a bigger competitive advantage than ever before. To deliver on that, brands have to overcome the challenge of high-effort, disconnected experiences.
88% of customers say the experience a brand provides is equally as important as the product or services it sells. This is up from 80% in 2020. Consider a good customer service experience one of the most important things you can sell. (Source: State of the Connect Customer report, Salesforce)
53% of consumers say customer support interactions feel “fragmented.” This is often due to hold times, handoffs to other customer service representatives, and ill-equipped customer service reps. (Source: State of the Connect Customer report, Salesforce)
85% of businesses believe that customers are more likely to share both positive and negative experiences in 2022 than in the past. This could have a huge impact on your company’s word of mouth — a big concern if you’re offering poor customer service experiences. (Source: HubSpot Annual State of Service in 2022)
27% of customers who place an order reach out to support at some point in the buying journey, based on data from 12k ecommerce brands. (Source: Gorgias data)
Brands receive an average of 882 monthly tickets, based on data from 12k ecommerce brands. (Source: Gorgias data)
61% of customer care leaders have experienced an increase in total calls in 2022. They cite “increased contacts per customer” and a growing customer base as the leading causes. (Source: The State of Customer Care Survey 2022, McKinsey & Company)
Brands’ topfour customer service priorities in 2022 are creating a great customer experience (45%), customer success (37%), customer retention (35%), and customer engagement(33%). (Source: HubSpot Annual State of Service in 2022)
The top 10 reasons customers reach out to (ecommerce) support teams (based on a Gorgias survey of 12,000 ecommerce sites) are:
Order status
Returns
Pre-sale product questions
Shipping questions when deliveries aren’t received
Order change
Order cancellation
Missing an item from an order
Marketing
Negative customer feedback
Warranty questions
Customer service benchmarks
Customer service is increasingly important, and average response times are decreasing. Benchmarks are helpful to keep in mind to ensure you’re competitive, but it’s equally important to set your own benchmarks and compete against yourself.
Ecommerce businesses have an average Net Promoter Score (NPS) of 50. (Source: Retently)
The customer satisfaction rating (CSAT) on Gorgias is 4.55. (Source: Gorgias data)
Customer support agents handle an average of 1 ticket per hour. (Source Gorgias data)
Brands have an average of 3 active agents at any given time. (Source: Gorgias data)
The average resolution time is 18.1 hours. (Source: Gorgias data)
The average first response time is 11.4 hours. (Source: Gorgias data)
The average first response time on Facebook is 10 hours. (Source: Gorgias data)
The average first response time on email is 7 hours and 34 minutes. (Source: Gorgias data)
The average first response time via contact form is 11 hours and 25 minutes. (Source: Gorgias data)
The average first response time on live chat is 42 minutes. (Source: Gorgias data)
The average first response time on SMS is 35 minutes hours. (Source: Gorgias data)
The recommended average resolution time is same-day for email. (Source: Gorgias)
The recommended average resolution time for SMS tickets is 10 minutes.(Source: Gorgias). (Source: Gorgias)
Live online chat support queries are typically resolved in under 10 minutes. (Source: Gorgias)
Customer support interactions over the phone are best resolved in 1 call. (Source: Gorgias)
Social media queries should ideally have a same-day resolution for comments and a 10-minute resolution for DMs. (Source: Gorgias)
The importance of great customer service (and danger of poor customer service)
Customer service impacts the bottom line, and customers are willing to share their experiences — good or bad. It also builds trust with shoppers, making them more eager to make a purchase and build a lasting relationship with your brand.
62% of customers feel an emotional connection to the brands they buy from most, which is amazing for customer loyalty. Impersonal interactions, including irrelevant offers or waiting on hold, damage those relationships. (Source: State of the Connect Customer report, Salesforce)
Repeat customers account for only 21% of customers, but generate 44% of revenue and 46% of orders. (Source: Gorgias)
Repeat customers drive 300% more revenue than new customers. (Source: Gorgias)
Customer service teams and employees
Challenges with employee retention have led to reduced quality in terms of service standards. Brands with strong customer service training and strong, loyal service teams stand to gain a competitive advantage.
In 2021, nearly half of customer care managers faced increased employee attrition. (This was largely because up to 85% of the workforce shifted to working from home in 2020–2021). (Source: The State of Customer Care Survey 2022, McKinsey & Company)
The top-cited reason for employees leaving is poaching by competitors—58%—followed by employee dissatisfaction (39%), lack of advancement opportunities (31%), and lack of work–life balance (30%). (Source: The State of Customer Care Survey 2022, McKinsey & Company)
According to service leaders, the most effective ways to retain top customer service talent is through focusing on motivating and building trust with employees (34%), encouraging leaders to act on employee feedback (24%), offering new career opportunities (11%), and aligning their work to the overall company’s goals and values (11%). (Source: The State of Customer Care Survey 2022, McKinsey & Company)
According to 54% of customer service professionals, peer relationships are the best way to learn. 50% learn by attending conferences and 39% from formal mentors. (Source: HubSpot Annual State of Service in 2022)
Service professionals actively learn new skills for their roles “a few times a month or more often” (32%), “about once a month” (30%), or “a few times a year” (28%). (Source: HubSpot Annual State of Service in 2022)
Personalization in customer service statistics
Customers continue to expect more relevant messaging and promotion from brands, including personalized customer support. And their hesitations around data privacy and related technologies are waning, making them more open to sharing information to receive improved customer service interactions.
61% of consumers feel comfortable with brands using their personal information transparently and beneficially. This is an increase from 52% in 2020. (Source: State of the Connect Customer report, Salesforce)
Almost 80% of consumers say that when brands are transparent about how they use their data to provide personalized experiences, it makes them trust the brand more. (Source: State of the Connect Customer report, Salesforce)
Customer service tools and platforms
Technology is key to delivering exceptional customer service experiences. The right tools, from helpdesks to live chat support apps, are essential to meeting today’s customer expectations.
86% of live chat tickets end with a satisfied customer. (Source: Gorgias)
77% of businesses use some form of digital means to provide customer service and assistance, yet only 10% of new digital platforms are fully taken advantage of by customers. (Source: The State of Customer Care Survey 2022, McKinsey & Company)
95% of customer service leaders believe a customer relationship management (CRM) platform can help boost productivity. (Source: HubSpot Annual State of Service in 2022)
The number of communication channels customers can use to interact with brands (and vice a versa) is constantly increasing. This number is only going to grow, so brands need to understand not only how to leverage each customer service channel but also how to integrate all the touchpoints into a single synonymous customer experience.
Synergy across an omnichannel support experience is the new baseline for good service.
Artificial intelligence (AI) enables more self-service options, as well as automations. Effective use of support automation technology can boost efficiency and reduce resolution and response times.
Nearly 80% of businesses have experienced an increase in customer adoption of self-service customer support channels, including chatbots. (Source: State of the Connect Customer report, Salesforce)
66% of Millennials prefer self-service for simple support cases, compared to 61% of Gen Zers, 59% of Gen Xers, and 49% of Baby Boomers. (Source: State of the Connect Customer report, Salesforce)
The future of customer service
Anticipating future trends and advancements can help you stay ahead of the curve. Customer expectations will continue to rise, touchpoints will become increasingly complex, and AI will play a growing role in delivering top-notch service.
Digital channels will become increasingly important. Millennials and Gen Zers are the most digitally savvy. Each of these generations, for example, is 1.6x more likely than Baby Boomers to prefer digital channels. (Source: State of the Connect Customer report, Salesforce)
AI-powered self-service options are also going to grow. Nearly 80% of businesses have experienced an increase in customer adoption of self-service customer support channels, including chatbots. (Source: State of the Connect Customer report, Salesforce)
Are you ready to improve your customer service in 2023?
Now that you know the latest customer experience statistics in 2023, check out our list of customer service best practices to put this knowledge into action and become a more customer-centric company to attract and retain loyal customers.
In customer service, you can find a wide variety of job titles, each with a unique set of key responsibilities — everything from answering phones at a call center to setting up automations, developing strategies for customer retention, and much more.
If you’re looking for a job in customer service, you’re in the right spot. Customer support can be a great way to transition industries and work your way toward a satisfying and rewarding career. Below, you’ll learn about 7 types of customer service roles, including typical daily duties and qualifications.
If you’re hiring customer support team members, you can also adapt the job posting templates to help you find talented new employees. Plus, you’ll hear from a couple of top ecommerce brands about why it’s important to give everyone on your team some customer service responsibilities, regardless of their role.
Customer Service Agent (or Representative)
Customer Service Agents (or Customer Service Representatives) are the most junior role on a customer support team. Support Representatives are customer-facing employees on the frontline. They receive incoming support messages and calls, answer basic questions, and pass along complex or technical questions as needed.
Of course, even at this stage, Agents can play a major role in helping improve workflows, tagging and organizing incoming support requests, passing along customer feedback, and more.
If you’re a recent graduate or trying to pivot to a career in customer service, becoming an Agent is a great option.
Customer Service Representative job description template
We are seeking a dedicated and friendly Customer Service Agent to join our team. In this role, you will be the face of our company, assisting customers with their inquiries, resolving any issues, and ensuring a positive customer experience.
The ideal candidate will have excellent communication skills, problem-solving abilities, and a passion for delivering exceptional customer service.
Duties and responsibilities
Provide prompt and efficient responses to customer questions via phone, email, social media, and chat
Address and resolve customer complaints or concerns in a professional and timely manner
Maintain a high level of company product knowledge to effectively answer customer queries
Identify opportunities to upsell or cross-sell products and services to customers
Collaborate with other team members and departments to ensure customer satisfaction
Keep accurate records of customer interactions and transactions in the CRM system
Follow company policies and procedures when handling customer requests and issues
Also, when Agents are answering incoming support tickets, Gorgias displays customer information (including past conversations and orders) to give Agents all the context they need to answer the question. This also helps Agents offer personalized customer service.
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Customer Service Specialist (or Level 2 Agent)
Customer Service Specialists have many of the same day-to-day responsibilities as Representatives. The main difference is that Specialists typically have more experience, know more customer service techniques, and can handle more complex, sensitive, and challenging interactions with customers.
In most teams, tickets get “escalated” to Level 2 Agents (or Specialists) if they’re beyond the skillset of an Agent. Often, Agents get promoted to Specialists once they understand the company’s policies, procedures, and products. It can be a great stepping stone to managing a team.
Customer Service Specialist job description template
We are seeking a Customer Service Specialist to join our team who will respond to customer inquiries by phone call, email, or chat. As a Specialist, you will be responsible for resolving mostly routine customer inquiries with some non-routine, more complex problems.
The ideal candidate will have excellent communication skills, problem-solving abilities, and a passion for delivering exceptional customer service — including to angry or escalated customers.
Duties and responsibilities
Provide excellent customer service by responding to customer inquiries by phone, email, social media, SMS, or chat in a friendly and professional manner
Analyze customer service needs and refer to other service or technical departments for follow up as needed
Use customer relationship applications or databases to record activities and research product information
Resolve mostly routine and some non-routine, more complex problems like processing orders and multitasking
Document customer inquiries and monitor responses for quality assurance purposes
Proactively engage with customers, identifying opportunities for improvements and suggesting potential solutions
Stay up-to-date with industry trends and best practices in customer service
Qualifications and requirements
1-3 years of related experience preferred, or additional specialized training and/or certification
Excellent verbal and written communication skills
Ability to empathize with customers and remain calm and composed in difficult situations
Strong problem-solving abilities with a focus on finding effective solutions for customers
Familiarity with CRM systems and other relevant software tools
Availability to work flexible hours, including evenings and weekends
High school diploma or equivalent work experience
Additional education or certification in customer service is a plus
Benefits
Competitive salary ($45,000 – $60,000)
Health, dental, and vision insurance
401(k) retirement plan
Paid time off (15 days) plus holidays and sick days
Ongoing training and development opportunities
How to Apply
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
How Gorgias supports this role
Gorgias makes escalating tickets to Level 2 agents extremely easy. You can even set Gorgias up to automatically assign angry customers to certain agents — this works because Gorgias scans the sentiment and intent of every incoming ticket, and can assign, tag, and even respond automatically based on what it finds.
Here’s a visualization to help explain how Gorgias can automatically detect the contents of a ticket, and assign or tag it however works best for your team.
Customer Service Team Lead
The Customer Service Team Lead is directly responsible for managing a team of Agents. As a Team Lead, you’ll spend less (or no) time answering tickets, and more time hiring, onboarding, and training new support agents. ’
In some companies, the Customer Service Team Lead also acts as the Customer Service Manager (which we’ll cover below). But most companies separate the roles: The Team Lead manages the people, while the Manager manages the strategy and business impact.
Customer Service Team Lead job description template
We are seeking a customer service team lead to join our team. Reporting to the customer service team manager, the Customer Service Team Lead will be responsible for leading Customer Support Agents to provide the highest level of support and service to all internal and external customers.
The ideal candidate will have experience in team leadership, customer service, and problem-solving, with an understanding of industry best practices.
Duties and responsibilities
Lead the customer service team to achieve key performance indicators (KPIs) and customer satisfaction goals
Develop and implement departmental systems, policies, and procedures to maintain a high level of service
Identify opportunities to enhance internal processes and promote best practices that lead to overall performance improvement and organizational efficiency
Monitor and evaluate customer feedback to ensure that the team exceeds customer expectations
Assist with the recruitment and selection of new team members
Provide onboarding, coaching, and mentoring to new and existing team members
Conduct regular performance evaluations and provide development plans that encourage employee engagement
Plan team rotas to ensure adequate coverage at all times
Administer the Time Management System (TMS), recording holiday and sickness absences
Support the team in answering customer inquiries by phone, email, or chat
Monitor and coordinate the post-sales support process, ensuring all orders are reconciled accurately and progressed through the system correctly
Evaluate trends in customer inquiries and identify ways to improve customer satisfaction and retention
Collaborate with other departments to handle customer complaints and issues
Produce written reports when required to do so
Qualifications and requirements
Proven experience as a customer service team lead or a relevant leadership role (3+ years)
A minimum of a high school diploma or equivalent; additional education/training in customer service, leadership, or a related field preferred
Excellent organizational and problem-solving skills, with a focus on finding effective solutions for customers
Exceptional verbal and written communication abilities and a customer-centric mindset
Strong interpersonal skills and experience working as part of a team
Experience with a helpdesk, CRM software, and other customer service tools
Benefits
Competitive salary ($55,000 – $70,000)
Health, dental, and vision insurance
401(k) retirement plan
Paid time off (15 days) plus holidays and sick days
Ongoing training and development opportunities
How to apply
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
How Gorgias supports this role
Gorgias gives Team Leads a helpful overview of the team’s performance. Specifically, you can see each agent’s essential metrics — like CSAT, response times, resolution time, conversion rate, and more.
You can use these metrics to evaluate each agent and inform the type of training and coaching each one needs. Speaking of training, Gorgias also offers Gorgias Academy, which features dozens of courses to help teach your agents how to upskill, including how to use the helpdesk.
Customer Service Manager
Customer Service Managers are responsible for implementing the department’s tools and strategies. Unlike Team Leads, who are responsible for people management and coaching, Customer Service Managers are more responsible for setting up tools and automation, making sure the team is working toward business goals, and generating reports about the state of the department.
Customer Service Manager job description template
We are seeking a highly motivated and experienced Customer Service Manager to oversee our customer service operations and ensure the highest level of customer satisfaction. The Customer Service Manager will be responsible for leading a team of customer service representatives, implementing effective strategies, and continuously improving customer service processes.
The ideal candidate will have a strong background in customer service, excellent leadership skills, and a passion for delivering exceptional customer experiences.
Duties and responsibilities
Lead and manage a team of Customer Service Representatives and Team Leads, providing guidance, training, and support
Develop and implement customer service standards, policies, and procedures to ensure consistent and high-quality service delivery
Handle escalated customer inquiries or complaints, resolving issues and ensuring customer satisfaction
Monitor and analyze customer service metrics, identify areas for improvement, and implement strategies to enhance performance
Collaborate with other departments to improve customer service processes and optimize customer interactions
Identify training needs and provide ongoing coaching and development opportunities for the customer service team
Stay up-to-date with industry trends and best practices in customer service management
Conduct regular performance evaluations and provide feedback and recognition to team members
Foster a positive and collaborative work environment, promoting teamwork and employee engagement
Implement customer feedback mechanisms to gather insights and make data-driven decisions
Qualifications and requirements
Proven experience in a customer service management role (5+ years)
Strong leadership skills with the ability to motivate and inspire a team
Excellent communication skills, both verbal and written
Strong problem-solving and decision-making abilities
Proficient in customer service software and CRM systems
Experience in analyzing customer data and using it to drive improvements
Excellent organizational and time management skills
Ability to work well under pressure and meet deadlines
Customer-centric mindset with a passion for delivering exceptional service
Bachelor's degree in business administration, communications, or a related field (preferred), or equivalent work experience
Benefits
Competitive salary ($65,000 – $80,000)
Health, dental, and vision insurance
401(k) retirement plan
Paid time off (15 days) plus holidays and sick days
Ongoing training and development opportunities
How to apply
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
How Gorgias supports this role
Gorgias is full of automations that Customer Service Managers can set up to make their team more efficient and productive.
For instance, imagine you’re a Customer Service Manager looking for solutions to answer more tickets without hiring additional agents. You could set up Gorgias Automate to let customers answer FAQs, track orders, request returns, and more in the chat widget and Help Center.
The Manager can also review the performance of these (and other) automations to understand the impact and find areas for improvement.
Technical Support Engineer
Technical Support Engineers provide support to customers experiencing issues with software and other IT equipment. Most Technical Support Engineers are hired for Software-as-a-Service (SaaS) companies or universities, hospitals, and other large companies that need support for technical equipment and issues.
Note: Gorgias is 100% built for ecommerce. You can send images, videos, and other files to solve complex issues, but the tool isn’t built for software companies that need to offer very technical support. Check out our list of the best customer service software if you’re a non-ecommerce company.
Technical Support Engineer job description template
We are seeking a skilled and customer-oriented Technical Support Engineer to join our team. The Technical Support Engineer will be responsible for providing technical assistance and support to our customers, ensuring timely resolution of technical issues, and delivering exceptional customer service.
The ideal candidate will have a strong technical background, excellent problem-solving skills, and a passion for helping customers.
Duties and responsibilities
Take ownership of customer issues reported and see problems through to resolution
Research, diagnose, troubleshoot, and identify solutions to resolve system issues
Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams
Provide enterprise-level technical assistance to customers, including software and hardware support
Resolve network issues and configure operating systems as needed
Use remote desktop connections, email, and chat applications to provide immediate support and answer client queries
Ask customers targeted questions to quickly understand the root cause of the problem
Track computer system issues through to resolution, within agreed time limits
Properly escalate unresolved issues to the appropriate internal teams for further investigation and resolution
Provide prompt and accurate feedback to customers
Refer to internal databases or external resources to provide accurate technical solutions
Ensure all customer issues are properly logged and prioritized
Manage and prioritize multiple open issues at a time
Follow up with clients to ensure their IT systems are fully functional after troubleshooting
Prepare accurate and timely reports
Document technical knowledge by creating notes and manuals
Maintain positive and professional relationships with clients
Qualifications and requirements
Proven work experience as a Technical Support Engineer, Desktop Support Engineer, IT Help Desk Technician, or similar role
Hands-on experience with Windows/Linux/Mac OS environments
Good understanding of computer systems, mobile devices, and other tech products
Ability to diagnose and troubleshoot basic technical issues
Familiarity with remote desktop applications and helpdesk software
Excellent problem-solving and communication skills
Ability to provide step-by-step technical help, both written and verbal
Bachelor's degree in Information Technology, Computer Science, or a relevant field, or equivalent work experience
Additional certification in Microsoft, Linux, Cisco, or similar technologies is a plus
Benefits
Competitive salary ($75,000 – $90,000)
Health, dental, and vision insurance
401(k) retirement plan
Paid time off (15 days) plus holidays and sick days
Ongoing training and development opportunities
How to apply
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Customer Success Manager
Customer Success Managers are responsible for maintaining client relationships. They don’t answer tickets at all — instead, they meet regularly with clients to understand their business goals, help implement solutions, and ensure the client remains happy and satisfied.
Most Customer Sucess Managers work for Software-as-a-Service (SaaS) companies, agencies, and other kinds of client-based companies. Because Gorgias is built for ecommerce support teams, it’s not recommended for Customer Success Managers.
Customer Success Manager job description template
Duties and responsibilities
Establish clear client retention goals and develop strategies to achieve them
Collaborate with sales and account management teams to onboard new customers and ensure a smooth transition
Analyze customer data to gain insights and identify opportunities for improving customer experience and increasing revenue
Conduct product demonstrations and train customers on how to effectively use our products or services
Upsell additional services and products that align with customer needs and company offerings
Act as the main point of contact for customer inquiries, concerns, and escalations, and ensure timely resolution
Regularly engage with customers to check on their satisfaction, gather feedback, and identify areas for improvement
Create and deliver customer success metrics and reports to internal stakeholders
Collaborate with cross-functional teams to implement solutions that address customer needs and enhance their experience
Assist in creating training courses and educational materials to help customers optimize their usage of our products or services
Monitor customer health metrics and proactively intervene to prevent churn and increase customer loyalty
Qualifications and requirements
Proven work experience as a Customer Success Manager or similar role
Strong track record in managing and growing customer accounts
Exceptional communication and relationship-building skills
Technical aptitude with the ability to understand and explain complex products or services
Experience in promoting and delivering value through exceptional customer experiences
Ability to work independently and collaboratively in a dynamic, fast-paced environment
Strong problem-solving and analytical skills
Ability to build and maintain long-term relationships with clients
Proficient in using CRM software and tools for tracking customer interactions and metrics
Bachelor's degree in Business Administration, Marketing, or a related field, or equivalent work experience
Benefits
Competitive salary ($85,000 – $100,000)
Health, dental, and vision insurance
401(k) retirement plan
Paid time off (15 days) plus holidays and sick days
Ongoing training and development opportunities
How to apply
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Director of Customer Service
The Director of Customer Service oversees the entire department and reports directly to executive leadership. They are responsible for managing the budget, reporting to executive management, and shaping the future of the department.
Director of Customer Service is the most senior role we’ll cover in this article. But depending on your business’s size and makeup, you could hire additional executive-level roles like Vice President of Customer Experience or Chief Customer Officer (CCO).
Director of Customer Service job description template
We are seeking a skilled and experienced Director of Customer Service to oversee our company's customer service policies, initiatives, and operations.
The ideal candidate will possess a deep understanding of customer needs and expectations, a passion for delivering exceptional customer experiences, and a proven track record of managing high-performing customer service teams.
Duties and responsibilities
Direct and oversee all aspects of the company's customer service policies, initiatives, and operations
Develop service level standards to improve response times, reduce customer complaints, and increase customer satisfaction
Establish and implement best practices to improve service delivery quality, efficiency, and effectiveness
Develop and institute systems to capture and analyze customer feedback, service metrics, and trends
Manage resource allocation and budgeting to ensure the delivery of world-class customer service across all communication channels
Align customer service activities with business objectives and support cross-functional initiatives
Manage and coach customer service staff and enhance their skills delivery for excellent customer service
Regularly report to top management and inform them of the progress on customer service KPIs and metrics
Collaborate with other departments to identify areas for improving customer experience
Maintain up-to-date knowledge of industry trends in customer service management, customer support software and industry software.
Qualifications and requirements
7+ years of progressive management experience in customer service, preferably at a leadership level
Deep knowledge of best practices in customer service experience management
Proficient in using and managing customer services systems
Excellent communication, interpersonal, and conflict resolution skills
Deep understanding of customer needs and expectations
Excellent problem-solving skills
Proven track record collaborating with other internal departments
Bachelor’s degree in Business Administration, Customer Services Management, or related fields, or equivalent work experience
Benefits
Competitive salary ($95,000 – $110,000)
Health, dental, and vision insurance
401(k) retirement plan
Paid time off (15 days) plus holidays and sick days
Ongoing training and development opportunities
How to apply
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
How Gorgias supports this role
Gorgias features a suite of tools and dashboards that the Director can use to communicate the department’s performance to executive leadership. On top of Agent Performance, which we mentioned above, you can see a variety of other data.
For example, you can see an overview of your support performance, benchmarked against other support teams in your industry:
Tip: Get your whole company involved in customer support
While you’re building a dedicated customer service team, consider requiring non-support team members to spend some time answering support tickets — either during onboarding or periodically as ongoing training. This helps non-support members:
Understand your customers: Customer support speaks directly to customers, and it’s a great way to gain a first-hand understanding of their challenges, preferences, and more. Non-support team members can take these insights back to their own roles.
Learn the value of good customer support: Often, businesses take customer support for granted. They don’t understand the skill good customer service requires, and they don’t always understand the insights and feedback support conversations can provide.
If you use Gorgias, you’re in luck. While nearly every other helpdesk charges for additional seats, Gorgias gives you unlimited seats so everyone can make a profile and get involved with support at no extra cost.
Plus, Gorgias is easy for anyone — even non-support folks — to pick up and use. Here’s what a Marketing employee at Chomps, a Gorgias user, says:
“As a non-CX'r, Gorgias has made helping out the CX team so much easier. The platform is intuitive. And because our team has built out many Macros, I can easily answer common questions and concerns. Although I'm not on the platform every day, I can toggle between open and closed tickets if I need to reference an old situation and get up to speed quickly and efficiently.”
Manage all your customer service roles inside Gorgias
Gorgias is a customer service platform built for teams of all sizes. And to accommodate all the different roles and responsibilities, Gorgias lets you select a role for each user, giving them (only) the permissions they need to do their jobs.
This helps keep everyone focused on their role’s scope, and ensure privacy and security — especially if you outsource customer service and want to limit access to sensitive information.
User Roles include:
Observer agent: View customers and tickets and add internal notes.
Lite agent: Modify (but not delete) customers and tickets and send messages.
Basic agent: Modify (and delete) customers and tickets and send messages. Delete customers and tickets.
Lead agent: Manage customers, tickets, and tags; send messages; and manage the Help Center.
Admin: Manage everything.
Want to learn about how Gorgias can help you make your customer service team more efficient and effective? Claim your demo today.
Live chat might feel like a big commitment, but the juice is worth the squeeze. (In other words, live chat support is well worth the effort.)
Customers love live chat because they can get ahold of you quickly and casually. They can get a fast answer, and don’t have to go digging for an email address to get ahold of you. In fact, 86% of live chat interactions end with a satisfied customer.
Your business also benefits from live chat. It leads to fast resolutions, since back-and-forth responses are so rapid. Plus, using live chat for customer engagement during the flow of shopping can be a great way to boost sales.
Below, you’ll learn more about the benefits of live chat for support, including tips to automate live chat to make it a good use of your team’s time.
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What is live chat support?
Live chat support is form of customer service where your support reps help customers in real time over a chat window on your website.
It differs from other support methods like phone calls or emails because customers don’t have to open their phone or an email browser and wait for a response from someone at the call center.
The basic version of live chat support is a widget that simply allows customers to start a chat session with a customer support agent. Here’s what these interactions look like for the agent (left) and the customer (right):
Some live chat software offer many more features, such as self-service menus and the ability to reach out to customers. Here’s an upgraded live chat widget on Sol de Janeiro’s site that gives customers self-service answers to common questions and lets them modify their orders without needing to speak to an agent:
Regardless of your live chat’s sophistication, live chat support makes a meaningful difference for businesses that use it: 79% of businesses say live chat support has a positive impact on sales, revenue, and customer loyalty.
How does live chat support differ from a chatbot?
Live chat and chatbots are both popups on a site that invite the user to type their problem into a box to get an answer.
The difference is that chatbots are powered by artificial intelligence (AI), machine learning, and natural language processing (NLP) to determine customer intent and respond in human-ish ways. Live chat connects actual humans to support customers.
While the two experiences look similar on the customer end, speaking to an unhelpful bot that’s mimicking an agent can be a frustrating experience.
Instead, a better alternative to live chat includes other types of self-service in the chat window, such as the self-service menus like the ones in the video below:
The benefits of live chat for customer support teams and customers
Compared to legacy support methods (including customer service email and phone support), messaging support channels like live chat feel like a breath of fresh air for customers and customer support agents alike.
Here are just a few of the elements that your teams and customers will appreciate when you add live chat as a support option.
Live chat problems generally get solved fast (~42 seconds)
Live chat is a great way for customers to get their problems solved quickly — 42 seconds on average.
42 seconds is not a lot of time, which is great considering 66% of customers expect near-instant responses to questions. Customers who pick up the phone to solve an issue will still be selecting 1 for English or 2 for español when the average live chat customer has gotten their problem solved.
Live chat still allows teams to use templates and automation
One of the potential downsides to live chat support is that it seems like it can be resource-intensive. But live chat support doesn’t have to mean that your human agents are manually typing every answer to every question.
Many live chat solutions can use bot-like software to automate responses to common, routine requests “Where is my order?” Even better, some solutions give customers menus to find answers without having to feign conversation with a “smart” bot:
Of course, some conversations will need that human touch no self-service solution can provide. When customers ask for a human agent, your human agents can either spin up a response from scratch or use a canned response as a starting point.
For example, you could create scripts for that same question, “Where is my order?” Something like, “We understand you want to get your items soon! Your order, [title or order number], is on its way to you now. You can expect to receive it within [timeframe].” Your agent will only have to fill in those two fields and send the response.
If you use Gorgias, you can upgrade your canned responses with Macros, which include variables. With variables, your agents don’t need to look for customer information to fill those fields — Gorgias automatically pulls the appropriate information for each customer from your ecommerce platform:
Live chat humanizes and personalizes support interactions
Live chat gives your support agents an opportunity to nurture new and existing customer relationships with a conversational, personalized service experience.
First, live chat by nature is more casual than many other communication channels. Unlike email, which tends to be more formal, the instant back-and-forth offers a more natural forum for emojis, friendly banter, and authentic conversations — of course, all of that is secondary to providing prompt, helpful service.
With the right live chat software, you can also achieve a high degree of personalization in live chat conversations. With Gorgias, which is kind of like a customer relationship management (CRM) platform, agents can see a customer’s entire order and conversation history with your brand in the customer sidebar:
This gives you an opportunity to use the customer’s name, reference past purchases and interactions, avoid asking for information the customer has already given your brand (like order number or shipping address), and understand whether the customer is a superfan or had a frustrating experience.
Live chat is an effective way to drive sales
Your primary goal as an ecommerce business is to sell more products to more people, and live chat can help you do just that. Live chat has been shown to increase conversion rate (visitors to sales) by 12% on average and website visitors who interact with your live chat widget become 2.8 times more likely to buy than those who don’t.
Why exactly is this the case? Say a prospect has a question about a product. They add it to their shopping cart, but are still negotiating the purchase in their head:
Did I select the right size?
Will the item arrive in time for the holiday?
Will I be able to return the item if I don’t like it?
Is the item compatible with other products I own?
Did I select the best product for my needs?
Without a convenient support channel, customers may just abandon the purchase. But when you give them the ability to open a convenient chat window and get an instant answer, you reduce friction and lower cart abandonment.
With Gorgias, you can take this a step further and proactively reach out to customers who display certain behaviors with chat campaigns. For example, you can set up a live chat campaign to automatically trigger when a customer adds a product to their cart but lingers on the checkout page.
Likewise, you automatically reach out to customers on certain pages, to proactively ask if they need support and, if the moment is right, upsell them:
Plus, if you use Gorgias, you can easily include product cards in your customer service responses within the platform, giving your customers an visual and easy link to product pages within the live chat:
If the main goal of any ecommerce store is to sell more products to more people, a close second is selling more (or more expensive) products within individual transactions — or raising average order value (AOV), a metric your customer support team has a surprising impact on.
One survey found that among those who consistently spend more online per month (between $250 and $500), 63% have increased loyalty to brands and companies offering live chat support experiences.
This makes sense: As you spend more, your pre-sales questions become more important. If you’re unsure about the product, shipping times, or refund policy, you won’t have the confidence to make a large purchase. The ability to contact support right before a sale is incredibly important for this reason.
Live chat could also help with enormous wholesale purchases, too. CROSSNET, a merchant using Gorgias, won a $450,000 sale because they promptly responded to a live chat conversation.
If you’re operating an ecommerce business, implementing live chat support is a strategic move that can catalyze growth and increase your sales (just like all support channels). But like anything new, you want to be sure to implement your live chat experience properly.
Best practices for agents and handling conversations
The following best practices are for support agents to make live chat interactions effective.
1) Promptly respond to messages, but don’t rush
People value knowing they’ll be interacting with a real person, not a bot. So they don’t expect instantaneous responses — but they don’t want to be kept waiting, either. It’s always important to be prompt (and the definition of “prompt” varies depending on your industry’s expectations), but support agents should take enough time to be sure they fully understand the question or complaint so they can respond appropriately.
In other words, customers who get their problems solved correctly the first time are happy to wait slightly longer. Prompt and accurate is better than rushed and incomplete.
Not every problem can be solved instantly, and that’s OK. Customers come to live chat because they can’t solve their issues with self-service resources, and that means live chat support often gets more complex questions.
It’s important to have an open dialog with customers, especially skeptical customers. It’s 100% OK to let a customer know that you need a little time to look into something. Telling them is certainly far better than appearing to ghost them or trying to trot out a pat answer that won’t satisfy them.
Similarly, there will be situations where an agent doesn’t have the resources or approval to move forward with an issue and needs to push the concern to another agent or supervisor or even to your other support channels.
Agents should be transparent, clear, and honest when this happens: People appreciate honesty and follow-ups — and they despise overconfident wrong answers or a lack of clarity about next steps.
3) Keep the conversation focused
One of the disadvantages of text-based conversations is that you can’t control the clarity of the other party. They might be wildly unclear about their problem or they might start branching off into multiple topics within a single thread or encounter.
Support agents need to keep conversations focused on a single problem at a time and may need to guide customers along to this end. Once the first problem is resolved, then it’s great to tackle the next one. But letting things devolve into a confusing mishmash is a quick way to end up harming customer satisfaction.
4) Keep responses concise, and ask questions
Encourage your live chat agents to keep responses brief yet friendly. The longer and more complex the messages you send, the greater the chance of confusion or missed points. The customer could respond to just half the message, and then the agent has to awkwardly repeat the unanswered half.
Most of the time, you want to make sure that any individual message has just one thing to do or respond to in it. Falling into a call and response sort of pattern, where the customer responds to each prompt, is a good way to keep things streamlined.
5) Follow through until you resolve the issue
Follow-through is key as well during live support interactions. There’s nothing worse than thinking you’ve completed the interaction and moving on to another task or customer only to realize that you’ve left the customer hanging, still waiting on some crucial piece of information.
Be sure your agents aren’t unintentionally walking away too soon. The best way to do this is to proactively check with the customer to make sure they agree that everything is resolved.
And if you use Gorgias, you can automatically send the customer a satisfaction survey to gauge the success of the interaction:
6) Share helpful resources when possible
Sometimes, the customer’s comments reveal that they need something more complex than what will fit in a little chat box. Maybe they’re struggling with how to use some core functionality in your device or your mobile app or they have a technical question about a product that’s answered in some technical documentation already on your website.
When customers need more education or detailed instructions, leverage your existing self-service resources, like knowledge base articles, tech specs, or even product pages. Your agents should feel free to offer links to your team’s content assets, allowing customers to solve their own problems.
Of course, invite them to contact your company again if they still can’t figure it out. And if you can give them clear routing instructions, such as a specific phone number to call that lets them skip the IVR phone tree, it makes sense to do so at this point.
Best practices for operations and management
These best practices are for customer support leaders to set up live chat effectively.
1) Create an automated initial prompt
As great as your live chat customer support team is, it’s not realistic to expect them to be able to respond to every customer in real time. One strategy that gives them a little more buffer is to create an automated initial prompt that boosts your first-response times.
This way, when a website visitor sends a message in your live chat widget, they get an immediate response that stops them from navigating away from your site. This also buys your team members a few seconds to pull up the chat request and respond.
We actually do this at Gorgias — here’s the message we send, and the Rule that automatically fires the message.
It immediately lets the website visitor know an agent is going to handle their issue, and it buys the agent 10 or 15 seconds to wrap up and get ready.
2) Have specific live chat support hours
Your business might not have a 24-hour customer support team in place and may never need to, depending on your market and your competition. If you aren’t offering 24-hour support, then set and advertise a specific set of hours that your team will be available for customers.
If you use Gorgias, you can set your live chat to automatically turn on and off with offline mode, which still lets shoppers find automated answers and submit offline form.
You can use a chatbot or self-service to take on the after-hours work, solving simple queries and pushing more complex ones to the next-morning queue for your human agents. This can be a good strategy; just make sure your customers know that that’s what you’re doing.
3) Adjust Macros (or templates) for live chat
It’s a best practice to modify your Macros and other customer service scripts to fit the format. The length and line breaks that make sense for an email may not look right in the live chat window.
Likewise, depending on your brand’s tone of voice, you might lean a little more casual on live chat than other, long-form channels. Of course, your templates should all be clear and fully answer the question, regardless of channel.
4) Prioritize live chat conversations
Customers using live chat are actively on your site — potentially with an item in their cart, and a question they need answered to click “Buy now.”
On the other hand, the customer that emailed you isn’t actively waiting on a response. They’ve probably already gone to work or soccer practice, and won’t even check their email inbox for a few hours.
For that reason, it’s important to set up automations that bump live chat tickets to the top of your inbox. If you use Gorgias, here’s a Rule you can use to tag live chat tickets as Urgent and assign it to your chat team:
Choosing live chat support software for ecommerce companies
Of course, integrating live chat support into your website (and into your customer service and support workflows) requires some form of live chat support software. That’s a whole discussion in itself, but the most crucial factors are feature sets and integrations.
You certainly need software that accommodates everything you want to do with live chat. Beyond that, ask these three crucial questions for any software you’re considering:
Does this integrate with my ecommerce platform?
Does the live chat tool come bundled with a larger helpdesk?
Does this integrate with my other customer service channels?
Does the tool’s pricing make sense for my business?
How easy is it to install?
And good news: We have answers for you. Read about the best live chat apps for a variety of use cases:
How Gorgias makes live chat support low-effort, high-impact
One concern about adding live chat support is that you’ll get a flurry of messages from customers who expect an instant response and, like many brands, you don’t have the staffing bandwidth to keep up. The right live chat platform offers features to help smaller businesses reap the benefits of a live chat, even if they can’t staff it 24/7.
Here are a few Gorgias features that make live chat manageable for small teams:
Order Management Flows for self-service order management and tracking
Order Management Flows are a type of customer self-service that lets customers track, cancel, or return an order within the live chat widget — no agent needed. This is a great way to reduce the number of tickets that actually make it to your agents. Plus, 88% of customers expect this kind of self-service functionality on your website.
You can customize which self-service options your customers can access within the live chat, too:
Flows and article recommendations in chat
Order Management Flows are great for order management, but other customer questions that would still turn into tickets for your agents: Questions like “What’s your refund policy?” or “Where do you ship?” Gorgias’ live chat also includes Flows, which you can set up to give personalized answers to common customer questions with a single click.
On top of Quick Responses, Gorgias live chat can also use natural language processing (NLP) to understand a customer’s query and recommend relevant articles in your Help Center: Gorgias’ version of a knowledge base, or a super-powered FAQ.
Contact Forms
Even with all of these self-service options, some customers will want to talk to an agent. And for stores that can’t staff live chat, this means you may get live chat questions that go unanswered. With Gorgias, you can include a field that asks customers for their email addresses so you can answer their questions when you come back online.
Contact Forms aren’t just good for following up if you missed an incoming message. You can also enroll customers who submit their email in email marketing sequences to drive sales, just like Bokksu:
“The email capture feature on Gorgias live chat allows us to collect new email addresses on a daily basis! This is highly convenient and helps us drive sales!”
– Danny Taing, Founder & CEO, Bokksu
Set business hours for chat availability
Finally, if your team can only cover live chat during certain times of the day, you can also set up business hours in Gorgias to either completely remove chat from your website or change the chat’s setting when you’re offline.
Install Gorgias live chat in a couple of clicks
Gorgias is a leading all-in-one ecommerce customer support and helpdesk platform that’s laser-focused on the needs of ecommerce businesses like yours. Our live chat feature is flexible and powerful thanks to numerous automation features, plus it can be enabled in just a few clicks.
Gorgias’s proactive chat tools can help you meet your customers’ needs, improve your conversion rates, and consistently improve the customer experience. And your agents can use Gorgias live chat on desktop, iOS, and Android.
Ready to take the plunge and start reaping the benefits of live chat support? See more of what life is like with Gorgias live chat. Or, book a demo to chat with our team.
Responding to customer complaints can be challenging. It’s hard to diffuse a situation when a customer is already roaring mad.
Investing in acquiring new customers is anywhere from 5 to 25 times more expensive than campaigns aimed at customer retention.
So, diffusing the situation is always worth the effort.
Depending on the reason for the customer complaint, you can offer free swag and coupons to keep them calm and have them falling in love with your brand all over again.
There are some instances, however, where the customer is just plain wrong, and you shouldn’t give into them. In this post, we explore both sides of the coin and give you specific guidance on how to deal with customer complaints.
Common categories of customer complaints
Why do customers complain in the first place? It’s usually because they’ve been let down in some way.
Their expectations were not met.
Maybe they incorrectly read your return policy, or they thought the product’s color was going to be more vibrant, based on the image online. (A clear return policy can help here. Check out our free return policy template for help.)
When you’re first presented with a frustrated customer, it’s important to put yourself in their shoes and determine what let them down, so you can respond more empathetically.
Here are some common issues:
Website or order issues
A customer might be frustrated when your website glitches. There are so many different things that can go wrong:
Product page has incorrect information
Page or website isn’t loading
There are errors with checkout page form fields
The order confirmation page won’t load
An item suddenly goes out of stock and the order can’t be processed
The cart can’t be easily edited
The list goes on.
Customers who are faced with tech issues can easily become very frustrated. And without a fast response and resolution, they’re likely to bounce from the site.
Because ecommerce companies offer products for website visitors to browse, this industry has some low bounce rates. But website glitches will certainly cause higher-than-desired bounce rates and consequently lower sales.
Product concerns
You might also get customer complaints about your products. Typically, a customer would complain after they bought and received the product and it didn’t meet their expectations.
But you could get a website visitor in your chat software who is complaining before they’ve even bought the product.
They might be trolling you after seeing a social media ad. It happens.
The majority of product-related complaints will be legitimate, however, so make sure that you not only help the customer with a refund or other solution, but that you also pass on the feedback to your manager.
Your most unhappy customers are your greatest source of learning
- Bill Gates
Refund issues
Refunds and reimbursements are another big category when it comes to negative comments and chat messages from customers.
The customer might be angry that they can’t return a clearance item, that the refund window has passed, or that they have to pay for return shipping.
Delivery delays
Maybe the product isn’t the problem. Sometimes delivery speeds can lead to customer complaints.
Customers might complain if the item is received later than they expected, or even if they knew that there would be a delay when ordering, but are still annoyed by it.
How to respond to customer complaints
So now that we know some common types of customer complaints, let’s figure out what to do about them.
Top channels for handling customer support
Today, customer service and support questions happen across a variety of channels. A customer service best practice is to respond to the customer using the channel they contact you on:
Original social media post - If they have complained visibly on social media from their own account, you should consider commenting on that post from your brand’s main profile or the brand’s support profile (if you have a separate one) if they have tagged you. Say something polite and simple such as “We’re sorry that your order didn’t get received on time and that our support team didn’t help. Please email us and we’ll make sure the refund is processed correctly this time.”
Social media comment on your brand’s post - You should reply to every negative comment that someone writes on your branded social media posts. Respond to their concern, and then attempt to take the conversation to email or chat.
Chat support - Live chat is now the top support channel based on consumer preference. That means that most customer complaints will be received on that customer service channel. And that’s great news, because this is a private conversation between you and the customer, so you can address the issue right away without having to move the conversation to a different channel.
Email - Some customers still prefer to contact businesses via email. Because people don’t respond to their email right away, this can delay resolution and cause further frustration. You can use an email response to prompt the customer to initiate a chat when they have time, so that the issue can be resolved live. Check out our email templates to help your team start responding to email complaints more effectively.
Phone - Many ecommerce companies don’t offer phone support because of the cost, particularly when they serve multiple markets and languages. However, call support is a great channel for handling frustrated customers because you can speak directly to them, diffuse their anger with a calm voice, and resolve the issue quickly.
Templates for responding to customer complaints
Customer relationship management is ever-evolving, so make sure that you are improving your scripts and increasing your capacity for empathy. Your customer service team should be made up of people who genuinely care about your customers and want to help.
Thank you for voicing this concern. We want to help fix this issue as soon as possible. Can you please email us at support@email.com or start a chat on our website?
To apologize for bad customer service:
I’m sorry that you didn’t get the support you needed when you chatted with our team. I want to take care of this issue personally. We’ll also make sure this doesn’t happen again and train our team to do better. Please email me at manager@email.com.
To handle delivery errors:
I apologize that you didn’t receive this order by the expected date. I want to help make this right. Click here to track your order: {{las_order_tracking_url}}. To thank you for your patience, here’s a $10 coupon off your next order.
Pro tip:
Provide personalized support easily by using customer variables like the last order id and tracking URL into your answer templates. Simply connect your ecommerce platform and your Gorgias helpdesk to unlock this feature.
For long, unexpected delivery delays:
You’re right, you should have received the order by now. I can ship you a replacement, and if you receive the original, please refuse the package or send it back to us if you’re not at home to refuse it.
To handle frustration about known delivery delays:
From increased demand (which we’re so grateful for!) our order fulfillment timelines have gotten a lot slower lately. We’re sorry for that. But good new, your order is on the way! Click here to track your order: {{las_order_tracking_url}}. We can’t wait to hear how you enjoy it, so please let us know.
To respond to refund requests far outside the policy window:
Unfortunately, it is too far past the return window for us to process this return. Per our policy, returns can be processed up to 45 days. While I can’t process this return, I can offer you a $10 coupon off of your next purchase.
To respond to refund requests slightly outside the policy window:
While it is past the return window, you’re only a couple days past, so I can process your return. I will create your printable return label, as our returns portal won’t allow you to initiate the return process on your own because of the timing. Would you like me to send the printable return label to the email address used for this order or a different email address?
To respond to refund requests for non returnable products:
Unfortunately, this item can’t be returned, as per our return policy. We can’t process returns for clearance items. However, I can offer you 20% off your next order. Would you like this one time coupon code?
To hand the conversation over to a manager:
I understand that you’re frustrated. I can’t help further with this situation, but I can get you in touch with a manager who might be able to help with your request. Would you prefer that she get in touch with you via email or phone?
When to escalate customer complaints to management
For the most part, you’ll need to stick with your company’s policy and not give in to angry customers, but sometimes you might need to bend.
For example, if a customer demands a refund for something outside of policy and refuses to give up on that demand, you might want to just get them in touch with the manager.
The manager or business owner might decide to allow the return, rather than to have this angry customer complain about the business online.
Essentially, you should try to handle issues yourself within policy. If a customer is asking for something outside of policy and is very demanding and angry, that’s when you should escalate the case.
You’ll have to rely on your customer service skills and intuition to help you make the right call.
When to offer special gifts and coupons (and what to give)
Should you offer gifts and bonuses to customers?
Only do so when the company is at fault. You might give a coupon code for a certain amount off their next order, or a percentage discount. Or, you might allow them to choose any product under a certain amount and you ship it to them free of charge.
Here are some reasons when it would be appropriate to offer a special coupon or free gift:
The order was delivered very late
The customer tried repeatedly to create the order despite many website errors
The wrong product was received
The product drastically undermet expectations
A customer support representative provided terrible service
You shouldn’t offer special gifts or coupons or free products when a customer is bullying you, though. Don’t do it just because someone is extremely frustrated. Instead, just try to resolve their issue as best you can.
When to stick with your policies and when to bend the rules
Here’s a great quote from an ecommerce store founder about the need to sometimes let the customer be right, even when they’re not:
Our biggest mistake was not giving into crazy customers and my lesson was that it’s better to lose a little money than to be right. For example, we’ve had instances when the customer didn’t follow a certain refund policy and still wanted a refund. Sometimes it’s better to play nice and not follow your refund policy as angry crazy customers can make you lose a lot more money. With social media at everyone’s disposal you have to be very careful.
How to use automation wisely to speed up response times and reduce frustration
The faster you respond, the better the customer experience. Quick response times reduce frustration because your customer doesn’t have to feel like they’re waiting around for you.
If a customer is already upset with your company, and they have to wait a long time for a response, they might be even angrier.
The good news is that you can use Gorgias to automatically prioritize customers with negative sentiments in their messages. We can detect their frustration and make sure they hop to the front of the line.
You can also use Gorgias to create automated responses that handle simple issues. For example, if someone says “My order hasn’t been received yet” your chat bot can reply “I’m sorry! What is the order number?”
This way, the customer can grab the order number while a human agent is joining the chat.
With Gorgias, rules can be used to set up automations, add tags to support messages, and prioritize certain customers. Here’s how to use rules:
Responding to customer complaints isn’t always easy. But when you make it your mission to empathize with your customers and deepen their relationship with your brand, you’ll be in the right mindset to reply.
Gorgias helps online merchants grow through exceptional customer service. Check out our platform.