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.
When customers reach out to your support team, they expect their problems addressed promptly and accurately. Providing an effortless experience for your customers is one of the best ways to nail customer support — it may be the difference between keeping that customer for years and never seeing them again.
The best customer service agents can solve issues quickly and provide high-quality, personalized customer support without delay. But since many issues crop up repeatedly, written and call center scripts are a smart way to empower agents when they're dealing with frustrated or angry customers.
Not all customer service interactions can (or should be) scripted. But by developing scripts for your most repetitive questions you can give more time and attention to complex and high-impact tickets that need a human touch.
Below, we put together customer service scripts for 29 common scenarios, inspired by top ecommerce brands that use Gorgias, like Steve Madden, Timbuk2, and Vinter’s Daughter.
What are customer service scripts?
Customer service scripts are pre-written answers to questions that customers commonly ask. By proactively writing out answers, or creating scripts, companies prepare team members with thorough, correct answers, thereby helping them build strong problem-solving skills. This creates a more helpful, supportive experience than expecting customer service reps to think of good answers on the fly, especially if they’re dealing with frustrated customers.
When are customer service scripts useful?
Scripts can be useful at any point in the customer interaction, however, they’re particularly useful during situations that recur often: calming angry customers, directing customers to resources like your returns policy, and answering frequently asked questions just to name a few. These are responses that will change very little from one customer to the next, so using a script can save time and provide a consistent customer service experience.
Customer service scripts can live in an internal knowledge base or standalone document library. However, scripts are most helpful when they’re integrated into your helpdesk or customer service platform. This way, your customer service agents can pull up, populate, and modify scripts without any copy/pasting or tab switching — no matter which customer support channel they’re using, from social media and email to live chat and SMS.
On Gorgias, scripts are called Macros and include variables that automatically populate with customer information, like the customer’s name, order number, and more:
29 customer service scripts categorized by topic
Customer service scripts are a highly effective way of keeping your team members on the same page and providing quick resolutions for customer issues. However, you do need to take some time upfront to create different scripts that specifically address common issues and questions. Otherwise, they won't be valuable or hit the mark.
Below, we’ve categorized several common potential customer service issues and provided several sample scripts for each one. Feel free to use them as inspiration as you create your own templates, but remember to adjust the language to fit your branding — no two companies have the exact same style.
Scripts to cover shipping issues
These scripts deal with lost or slow shipments, questions about shipping costs, and needing to change the shipping date after an order has been placed.
1) Tracking shipment
Hello! Thanks for reaching out! Here is the link that you can use to track your shipment: [support agent pastes tracking number for last order]. Alternatively, we have also sent a follow-up email with your tracking information. Look for the subject line, “Your order has shipped!”
We are here if you need more information!
Enrich your responses with real-time data from Shopify
Using a customer helpdesk connected to your ecommerce platform, you could insert customer variables like the last order ID and tracking URL dynamically into your answer. Here is what could look like the previous template:
Hello! We are happy to help! Your tracking number is {{Tracking number of last order}}, and I have also included a link to track your package below for your convenience: {{Tracking URL of last order}} For further questions regarding your shipment or anything else, please feel free to contact us!
2) Late shipment
We are terribly sorry about the delay in the shipment! Sometimes, the delivery is out of our hands and unfortunately we cannot speed things up. We do appreciate you and we are always transparent about any shortcomings from our side. For your convenience, we are sharing the tracking link {{Tracking URL of last order}}. Please let us know if there is anything else we can do for you!
To thank you for your patience, here’s a $10 coupon off your next order.
3) Lost shipment
Thank you for reaching out! Our team is so sorry to hear that you were unable to locate the missing package. Rest assured we will remedy this situation for you.
We can offer two options: we can ship a replacement to you or a full refund for the order instead. In case you prefer a replacement order, we kindly ask that you please confirm the shipping address of where you would like the replacement order sent. We are looking forward to receiving your reply.
4) Need to change shipping options after ordering
I understand that you want to change your shipping option so you can receive this order as quickly as possible. If this is correct, not a problem :) We just cancelled the order and can re-order the item with your desired shipping option. Please note that the additional cost is [$]. Let us know if there is anything else we can do for you!
Scripts to address order issues
Few things get under a customer's skin quicker than having trouble placing an order. Dealing with these customer interactions quickly and helpfully can be the difference between creating a loyal customer, or losing a first-time customer.
5) Can’t place an order
Thank you for reporting this! I will make sure this is addressed with our team. Would you mind letting me know which product you are purchasing so that we can help right away? Thank you :)
6) System placed order incorrectly (system error)
We are terribly sorry for this inconvenience. I can fix this right now for you. Would you mind sending us your order number so that we can change and remove incorrectly added items?
7) Customer wants to change their order within the allowable time limit
Hey there! I have just checked your order information, and since it was purchased within an allowable timeframe, we would be happy to make the requested changes. If you would like to fully cancel the order instead, just let us know and we can do that for you as well.
8) Customer wants to change their order outside of the allowable time limit
Thank you for your request! We are sorry to say that we are not able to process the change, since your order is currently on the way. If you are interested in returning your order, please follow the instructions from our page here, you will find all the needed details! We are sorry that we are not able to help more and we thank you for your understanding!
9) No order confirmation email
I understand that you didn’t receive an order confirmation. How long ago was the order placed?
Did you see a thank-you page screen after ordering? Thank you for the details provided, this will help us fix the issue fast!
Scripts to address product issues
Being able to use customer service scripts to address issues customers experience with your product mitigates the issue quickly and increases the chances you can keep customer satisfaction intact.
10) Product listing issues (not as described, pictured)
Thank you for reaching out and for the details you have provided! To process your return, would you mind clicking on “Get a return label” link here? Once this is done, we will continue processing your refund. If you have any other feedback regarding the product, we would be happy to hear it!
11) Negative product reviews
I understand you have concerns about some of the reviews you’ve seen. Our product isn’t a fit for everyone, but we have 2,000 positive reviews from customers who love it and we are always transparent and upfront! There are no risks, as we offer a full refund if you ship the unused portion back to us within 30 days.
12) Product questions
I see you’ve got some questions about your product! We would be happy to help. Ask away.
13) Damaged products
We are terribly sorry for this inconvenience. We aim to provide the most excellent service and carry our business to high standards We try our best to make sure items reach you in perfect condition, but sometimes mistakes happen that are out of our reach. Please send the item back to us using a prepaid label, which you can print here: (link). We’ll ship you a replacement right away.
Thank you for understanding!
Scripts to cover returns
Requests for returns are one of the most common queries to come through customer service tickets. Customers often looking to bend the rules during the phone call or live chat session can pose a unique challenge to representatives who need to provide good service, but also follow company policies. Here are three must-have scripts for addressing tricky returns issues.
14) Request to return the product
Thanks for contacting us! We allow returns up to 30 days from the purchase date for all items except clearance items. You can initiate your return and print a shipping label with our easy return portal here: (link)
15) Request to return a product outside of policy
Thank you for contacting us. Unfortunately, your order is outside the window of return. However, because it is only outside the window by a couple of days, I can allow you to return the item. Please confirm you’d still like to return it and I will email the prepaid shipping label. If we don’t receive the product within 10 days, we will not be able to accept your return.
Or...
Thank you for contacting us. Unfortunately, your order is unable to be returned because it is well outside of the time window (30 days) outlined in our return policy.
16) Tracking the status of a return
Thank you for reaching out! Let us provide a timeline here. We typically refund orders within 3 to 5 business days from receiving them. I can see that your package is expected to arrive tomorrow, so you should expect to receive your refund within 2 weeks.
Integrate customer service and returns software for a better CX
Leveraging product integrations that work seamlessly with your customer service platforms can put the power of returns primarily into the customer’s hands. Gorgias’ Loop integration does exactly that, letting customers take control of their returns on their own time and giving them a better customer experience in the process.
The integration is valuable to your support team, too: Instead of spending time on return tickets, they can focus on new customers, shipping issues, etc.
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Scripts to cover billing and payment inquiries
Staying friendly and accommodating during a customer service call can be difficult, depending on the customer's attitude. Customer service scripts keep your team members — especially new customer service agents — on track and focused on resolving the problem at hand.
17) Accepted payment options
Hi, thank you for contacting us. Regarding payment, we accept Visa, Mastercard, American Express, PayPal, and gift cards. Anything else we can help you with?
18) Paypal acceptance
Yes, we do offer PayPal! Just select PayPal and you’ll be prompted to log in and choose your payment method through PayPal.
19) PayPal issues
Thank you for reporting that. Like all platforms, unfortunately, PayPal has issues sometimes. Since this is a third-party app, we don’t have access to troubleshoot your account. Please ensure that your login information is correct and contact PayPal support with any issues. Alternatively, you can complete your order using a credit card or debit card. Let us know if there is anything else we can help you with!
Scripts to address gift card questions or problems
Many ecommerce companies receive lots of questions about using gift cards. From checking its balance to troubleshooting why it’s not working, answering gift card questions is crucial to maintaining customer satisfaction and building brand loyalty.
20) Gift card balance
Thanks for contacting us about your gift card balance. You can find that information by entering the gift card number here: (link)
Let me know if I can help you with anything else!
21) Gift card policy
Gift card balances expire after 6 years and can be used for any purchase, including clearance items. For our full gift card policy, please visit this link: (link)
22) Gift card not working
We will look right into that, thank you for reporting it. Would you kindly provide us with the gift card number?
Scripts to cover coupon code questions or problems
Issues with using coupons can enrage even the calmest customer. You can avoid this problem by having friendly, helpful customer service scripts on hand to solve the most common problems that come up with coupon codes.
23) Coupon code not working
Not to worry, we will look into that immediately! It seems that the coupon doesn’t apply to your order. However, here’s a coupon for free shipping that you can use for orders over $50.
24) Stacking coupon codes
Unfortunately, coupon codes can’t be used together. Would you mind choosing one coupon code to use per order? If there is anything else needed please let us know!
Scripts to address user account issues
There can be a lot of user account issues that can frustrate customers who are trying to log in, check order status, or initiate a return. Make sure that your customer service team is trained in requesting the additional information needed, such as their account number or order number, to troubleshoot the issue. The following three scripts can help address common customer requests regarding user accounts.
25) Can’t log in
Not a problem, we can definitely help with that. Can you please use the “forgot username” or “forgot password” buttons here? (login link)
26) User account not showing order
I understand that the order isn’t showing up in your account. Please note that it can take up to 30 minutes for the order to show on your account. Would you mind confirming that this timeframe has passed since you placed the order? Thank you.
27) Other user account issues
We are terribly sorry for this inconvenience. Would you mind sharing a bit more details about the issue you have experienced so that we can fix that for you?
Scripts to answer website QA issues
When customers discover issues on your site, use the right words to show your appreciation. Check out these quick scripts to use when a customer discovers a bug or issue on your website or ecommerce store.
28) Error discovery
Great catch! Thank you for reporting it. Our development team will fix it ASAP. Can I help you with anything else?
29) Confusing pages or elements
I’m sorry about that! I can see what you mean — that is confusing and could be improved. We appreciate you taking the time to let us know about this issue. Our development team will fix it ASAP. Can I help you with anything else?
The benefits of customer service scripts in ecommerce
As touched on above, customer service script templates help support agents address customer needs with consistent, uniform responses. They also help with customer service training and strengthen customer relationships. Beyond being an excellent way to mitigate customer issues with ease and consistency, customer service scripts offer the following benefits:
Unlocks cost savings by reducing manual work
Make it easy for your customer service representatives to instantly access scripted responses inside of your ecommerce helpdesk. This reduces the time it takes to either craft a response from scratch or hunt for the template in a wiki.
Providing great customer service can be stressful, even for senior support reps. They need tools like customer scripts to help them be prepared and stay on top of issues — fast. Instead of expecting your team members to formulate and articulate answers as they're dealing with impatient, frustrated, and difficult customers, scripts help them keep a cool head. Positive scripting reduces customer frustration and relieves stress on both sides as your team members work toward a resolution.
Standardizes support quality
You don’t want one customer to have a great customer service experience and another customer to have a bad one. This inconsistency can reflect poorly on your brand: Customers won’t know what to expect when contacting you, and you’ll end up with some negative online reviews and social media comments.
Scripts help everyone — even new agents — follow company procedures and policies, and even adopt a standardized tone of voice.
Here are the four core ingredients to high-quality support:
Customer support positions are prone to twice the average rate of employee turnover. You can mitigate high employee turnover with faster onboarding. Get new customer service team members up to speed with ready-to-use scripts. Scripts reduce many of the customer problems that crop up during a team member’s first few days or weeks on the job, like “How do I answer this question?” and “What’s the protocol for this type of customer issue?”
However, scripts only help if your team uses them. An internal knowledge base is a great way to house your scripts so that your team members can easily access them when needed, whether they’re a new hire or an established employee.
Here are a few signals your customer service team may need some additional training and resources like customer service scripts:
When your support team uses customer support script templates, they can resolve issues more quickly, leading to increased customer satisfaction and effortless customer experience.
It is always a good practice to incorporate articles from your knowledge base or FAQ into your scripts. For example, your scripts and FAQ page should both address common customer questions, like those about your shipping policy.
For example, men’s jewelry brand Jaxxon makes their shipping policy available as a Quick Response Flow (or an autoresponse) in their live chat widget and on their FAQ page. This way, shoppers have two methods of understanding the company’s shipping process without having to reach out to customer service:
If your business doesn’t have an FAQ or knowledge base yet, consider adding one to your ecommerce store as an easy way to address customer questions and improve user experience. These resources can deflect repetitive tickets by giving customers self-service information with minimal (or even zero) direction from an agent. Find out more about how to set one up and take a look at some great FAQ pages in action.
Automation is one of the best ways to build an efficient customer support team, and this includes prewritten live chat scripts. While leaning on technological functionality like automated responses saves time and effort while ensuring consistent quality, it also has the added benefit of providing much more step-by-step information for customers.
For example, a scripted response to, “Where is my order?” still requires the agent to manually go look up the order and shipping details. But when utilizing technology like Gorgias’ Macros, that information can be automatically pulled from Shopify or BigCommerce and sent to the customer — in a templated format that’s consistent with your brand’s voice:
The response is only the beginning. When you pair Macros with automated Rules, you can also trigger actions like assigning tickets to agents, prioritizing tickets, changing shipping addresses, refunding orders, and so much more:
With a helpdesk for ecommerce like Gorgias, your entire team can access and use your library of templated customer service scripts (Macros) to accelerate and improve their responses.
Gorgias also offers robust, intuitive customer service automation tools that are much more customer-friendly than most other platforms’ chatbots. Through Gorgias’ Automate, merchants don't even have to dig into Shopify data and send a scripted response — customers can find and change order details right within the chat box, no agent attention required:
Go beyond customer service scripts with dynamic auto-responses and self-service
Customer service scripts are priceless tools for your customer service agents. Using them effectively reduces response times, and helps with resolution time since your agents will have everything prepared for them upfront. This workflow keeps everyone satisfied: customers for getting fast resolution and agents for not having to type in the same response over and over again.
Gorgias’ deep integration with Shopify and other ecommerce platforms makes it easier than ever to set up Rules and Macros that empower your agents to work through repetitive tickets faster so they can focus on the most important customer conversations.
Check out our Loop Earplugs customer story to see how Gorgias helped Loop decrease WISMO (“where is my order”) tickets from 17% to 5% by providing self-service information, and increase revenue from CX by 43% using Gorgias Automate.
“We’ve seen 43% increase in revenue from customer support since we launched pre-sales flows. Quick response flows give us the ability to build trust with our customers and that’s priceless. When customers get a quick and honest answer, they often end up buying more than one product in a short span of time. Seeing customers live the life we’re aiming to create for them in Loop Earplugs is extremely rewarding for us.”
Gross merchandise value is the total value of goods sold on a platform before any deductions.
GMV offers an incomplete view of financial health because it doesn’t include the cost of fees and returns.
Compare GMV with other metrics like revenue, customer acquisition cost (CAC), average order value, churn rate, and customer satisfaction to get a full view of business performance.
Gross Merchandise Value (GMV) is a useful metric to monitor when running an ecommerce site. Traditionally, it’s one of the first numbers online merchants try to improve sales. It sounds simple enough: If you increase GMV, you’ll make more money, right?
Not so fast.
Like any single metric, GMV has its shortcomings, too. Below we’ll explain the right way to think about GMV and ways to increase GMV that can lead to more profit, not just more revenue.
What is Gross Merchandise Value (GMV)?
Gross merchandise value measures the total value of goods sold on a platform or marketplace over a specific period of time. GMV is the full amount customers pay before deductions like fees, discounts, or returns.
GMV and revenue are not interchangeable. Revenue is what remains after subtracting deductions from the GMV.
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How to calculate Gross Merchandise Value (GMV): formula + example
You can use the following formula to calculate GMV:
Gross merchandise value = sales price of goods x number of items sold
Example of GMV
If you sell something for $100 through Etsy and Etsy takes a 10% commission, that’s $100 GMV for Etsy.
In terms of revenue, $90 of revenue is for you and $10 of revenue for Etsy.
If you sell something for $100 on your own website, your GMV and revenue are $100.
What Gross Merchandise Value does (and doesn’t) tell you
GMV provides insight into a platform's sales strength before considering deductions, but it doesn't reflect actual revenue or profit.
In this section, we'll examine the advantages, limitations, and risks of depending solely on GMV to evaluate your business' performance.
Benefits of using GMV
GMV is a versatile metric that can be used for more than just evaluating how profitable your business is. Here are the five benefits of using GMV:
Provides a performance snapshot. GMV offers a quick and straightforward snapshot of a platform's sales volume, making it easy to gauge how well products or services are moving.
Helps to inform pricing and strategy. GMV data can inform pricing and marketing strategies which can help optimize your approach to increasing sales.
Makes identifying trends easier. Being able to access and compare data from different time periods, products, or platforms allows you to detect patterns and ecommerce trends more easily.
Attracts investors. Investors often use GMV as an indicator of a business's growth potential, making it a valuable metric for attracting investment.
Can be used as the baseline for sales targets. GMV can serve as a useful reference point for setting sales targets and assessing progress toward those targets.
What GMV doesn’t tell you
Although GMV offers valuable insights, it falls short of capturing a complete financial overview of your business. Let's look at some drawbacks of relying on GMV alone.
Lacks profit information. GMV doesn't reveal actual profit figures, preventing you from gauging your business’ financial health accurately.
Excludes expenses. GMV doesn’t account for any accrued fees and expenses associated with sales, like shipping cost, marketing, and platform fees. This incomplete metric may lead to an overly optimistic view of your business’s profitability.
Ignores customer returns. GMV doesn't account for customer returns, potentially overstating sales figures and misleading investors.
Inconsistent growth. When you prioritize GMV, you may want to push sales volume rather than focusing on profitability. There are plenty of ecommerce growth tactics beyond increasing sales.
Vulnerable to manipulation. Unfortunately, GMV can be manipulated by companies to create the appearance of growth without corresponding financial gains.
How to use GMV properly
The best way to use GMV is to complement it with other essential key performance indicators (KPIs). Here's how you can use GMV in tandem with other metrics:
Revenue: Combine GMV with actual revenue to understand the impact of deductions like returns, discounts, and fees. This helps you assess how efficiently GMV translates into actual income.
Customer Acquisition Cost (CAC): By comparing GMV with CAC, you can evaluate the effectiveness of your ecommerce strategy and help determine your return on investment (ROI).
Average Order Value (AOV): Analyzing GMV alongside AOV allows you to explore opportunities to increase revenue by encouraging larger or more frequent purchases.
Churn rate: GMV coupled with churn rate helps you assess the impact of losing customers on your sales. A high GMV may be exacerbated by a high churn rate, leading to lower overall profitability.
Customer Satisfaction (CSAT) and Net Promoter Score (NPS): Combining GMV with customer satisfaction metrics can help identify the correlation between customer happiness and spending, enabling you to prioritize efforts that improve both.
How to increase Gross Merchandise Value
If you’re looking for ways to improve GMV for your ecommerce website, here are four ways to do that.
1. Offer free shipping
Free shipping is a popular option for online shopping, where customers don’t have to pay for delivery. Free shipping is attractive to customers who are sensitive to price and prefer a simple pricing structure.
Two different ways to offer free shipping to increase GMV:
Order over a specific dollar amount: Highlight a free-shipping threshold to encourage customers to order more items to meet that limit and receive free delivery.
Offer free shipping within a specific period: Do this if you want to improve GMV during slow periods.
Upselling is a strategy to sell a superior, more expensive version of a product that a customer already owns (or just bought). Meanwhile, cross-selling means selling related products to the one a customer already owns (or just bought).
To upsell products, you can offer larger sizes, adding more features, or increasing performance. For example, if a customer wants a 4GB graphics card, upsell them to 16GB with a limited-time discount and a slightly higher price than their previous choice.
For cross-sell, you can add a “frequently bought with this item” or “who bought this bought this” section on your product pages. Or promote accessories on the cart page as Cariuma does in the below example:
3. Add bundles
Product bundling is when you package complimentary products as a group of items that can be purchased together at a discount or a lower price than when purchased separately.
You can bundle products together as an upsell or a cross-sell. Alternatively, you can create a unique product bundle, either in a gift box or special wrapping.
Winc is just one example of an online store that has capitalized on an opportunity for product education and curation with subscription boxes. The brand uses a quiz to help customers determine the right bottle of wine that satisfies their tastes. Then, offer curated boxes of items that meet their preferences.
When you have a lot of slow-moving inventory products, it’s a great idea to bundle them with popular items. Doing that will help freshen up your old or overstocked inventory and increase sales.
By offering bundles, you can also make customers feel that they got a good deal — even though they’ve likely spent more than they planned to.
Bulk discount (also known as bulk pricing or volume discount) is a sales strategy that encourages customers to purchase more and with higher quantities at a lower price. This is particularly useful if you’re selling items that are typically bought in bulk.
Note that you can also use free gifts or free products to incentivize customers who spend more on your store. Cotopaxi did a great job of using this tactic. This store offers customers free masks if they spend beyond a certain threshold.
5. Provide top-notch customer service
Approximately 95% of customers say that customer service is important to their choice of and loyalty to a brand. And 80% of customers consider the experience a company provides as important as its products.
These are just a few of many key customer service statistics, but enough to prove that an excellent customer service experience impacts your bottom line.
When you take time to answer customers’ questions on social media and live chat, you build trust with them and make them feel safe to buy from you.
When you’re proactive in reducing returns, you have a chance to turn them into new sales. Your customer might be satisfied with an exchange instead of asking for a refund.
That strengthens your brand confidence and encourages customers to come back to your store.
After all, retaining an existing customer is five times cheaper than finding a new one. By delivering exceptional customer service, you give your customers a convincing reason to stay with your business forever.
A final thought about GMV
GMV is helpful if you’re selling on marketplaces like Etsy, Amazon, or Alibaba. But as said earlier, you shouldn’t focus too much on improving GMV. There are more important ecommerce KPIs you should follow to measure how your store performs.
Also, it’s one thing to increase GMV; it’s another thing to maintain excellent customer service when you have more orders. Take care of your customers first to create an incredible shopping experience for them, and you’ll improve your bottom line sooner or later.
If you’re looking for a solution to help you handle a flood of customer requests, let Gorgias lend you a hand.
You went back to check your store and noticed an error in the checkout page settings, preventing customers from making payments on your store.
Do you think you would experience the moment of dread in that situation?
I bet you would.
When you’re launching an online store, there are many details to remember—and those details can make or break your business's success.
However, by having a rock-solid ecommerce launch checklist in place, you can eliminate errors and rid yourself of “dread” moments forever.
The following checklist will help you figure out the key things you need to get ready when launching your online store. Think of it as a quality-assurance check for your ecommerce launch.
Let’s jump in.
The 15 step ecommerce launch checklist
Get the core pages of your online store set up
Design listing pages
Create product pages
Make a shopping cart page
Put together a checkout page
Check on your ecommerce SEO
Optimize your website for conversions
Add essential apps to your store
Install an ecommerce helpdesk
Set up email marketing
Connect your sales channels
Set up analytics
Develop an ecommerce marketing plan
Integrate payment methods
Run ecommerce testing
1. Get the core pages of your online store set up
Your ecommerce website is where customers will visit to learn more about what you’re offering. It’s also where shopping activities happen.
Hence, ensure your website includes these most recommended standard pages:
Home page: This is arguably the most important page on your website. A well-designed homepage should tell what your business is all about and your unique value proposition. It should also include links to product pages and category pages on your store.
About page: This is where customers learn about the people behind your products. A good About page should tell your brand story and what you stand for. It should also include trust elements to prove your store is real and credible.
Contact page: Ensure you display your phone number, email, and real physical address (if any) on the Contact page. Make it clear about how customers can get in touch with you to showcase your authenticity.
Frequently Asked Questions (FAQ) page: Customers might have a lot of questions before deciding to buy from you. Having an effective FAQ page will help you offer a self-service solution to customers and avoid answering the same questions repeatedly.
Terms of service: This page covers your legal base, what’s included, and what’s not in your services.
Privacy: As concerns about data breaches are increasing, it’s highly recommended that you work with a lawyer to draft a clear privacy policy for your ecommerce business.
Shipping, return and refund: Nearly half of the consumers check an online store’s return policy before making a purchase. That’s why having a dedicated shipping, return, and refund page on your website is crucial. Doing that is also an excellent way to build trust with your potential customers.
A worthy note is that your ecommerce website doesn’t have to include a blog page. It depends on your marketing strategy, product types, and target audience (more on that later).
2. Design listing pages
A listing page or a category page is where customers discover your products associated with a specific category. It’s useful for keeping your website coherent and helping customers find what they’re looking for quickly. You can take listing pages to a whole new level by using them to increase conversions and enhance your overall SEO.
Ensure you include the following elements in your listing pages:
A short introduction to your category.
Filtering and sorting functions
Best sellers and reviews.
Stock availability.
Product quick view.
Internal linking among categories and sub-categories.
3. Design product pages
Product pages are where the buy buttons show up. But they’re also where many other things can go wrong: lack of trust, unclear information about products, etc. That’s why each product page must be optimized as much as possible.
Keep in mind the following:
Display the add to cart button prominently. Above the fold is an ideal place because it’s at customers’ reach at all times. Also, make it stand out by using contrast colors.
Use high-quality, professionally crafted pictures from different angles. Enable product image zoom and 360-degree view features in your theme.
Write a solid product description. Focus on the benefits of your products, not just features. In other words, how your products make customers’ lives easier and better.
Check product-related components, including styles, sizes, colors, inventory tracking numbers, tax rates, currency, product weights, etc.
Establish trust with customers by displaying trust badges, reviews and testimonials, or other social proof types.
4. Design shopping cart page
The shopping cart is where shoppers review their selected items and make the purchasing decision. The goal of this page is to lead shoppers to the checkout page.
Follow these tips to create an effective shopping cart:
Display product details, including product names, images, sizes, colors, and prices clearly. This helps shoppers remember their selected products and why they want to have them.
Use a clear, attention-grabbing call-to-action (CTA) button, for example, “Proceed to Checkout” or “Go to Checkout.”
Make the cart easily editable, like removing items, changing size/color/quantity, etc.
Display social proof to maintain trust with shoppers and avoid unexpected shipping costs/taxes/hidden costs.
Add a mini cart widget. It’s a good idea because shoppers can add products to their cart without leaving the page they’re on.
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5. Design checkout page
The checkout page is where cart abandonment often happens. So ensure you review it carefully as much as possible.
Remember these to build a high-converting checkout page:
Offer various popular payment options like credit cards, master cards, PayPal, Amazon Payments.
Keep it simple. Don’t include too many steps or fields—the goal should be to help customers finish the payment process faster.
Include an option to check out as a guest.
Display a progress bar at the top of the page to tell shoppers how many more steps are left to complete the purchase.
Include a live chat throughout the checkout process to quickly support customers.
Show order confirmation after purchase. The best practice is to create a Thank You landing page to confirm the order and give them special offers for the next purchases.
6. Check ecommerce SEO
Many ecommerce websites rely on social media or paid advertising to drive conversions. They ignore entirely or put together with little consideration of search engine optimization (SEO).
But ecommerce SEO is worth investing in because 44% of people start their online shopping journey with a Google search. Also, 37.5% of all traffic to ecommerce sites comes from search engines.
Keep in mind the following:
Do keyword research and find the most relevant keywords to your niche.
Use selected keywords to optimize meta titles, descriptions, H1’s, URLs.
Insert selected keywords into product descriptions and category descriptions.
On an ecommerce website, conversions are critical. Check out the following to make sure your store is optimized for high conversion rates:
Use videos to demonstrate your products.
Show live chat to address shoppers’ concerns and answer their questions faster.
Make your website user-friendly and fully responsive on mobile devices.
Display countdown timers and/or stock countdowns to give shoppers a little push to take action.
Optimize menu navigation. Make it super easy for shoppers to find whatever they need.
Ensure site search works well, not just product information but also related products, delivery times, return policies, and more.
Make information about your products and services easily findable and visible.
Use a “sticky” buy button so shoppers can easily proceed to checkout whenever they’re ready to place an order.
Enable the Pin It button so shoppers can share your products on their Pinterest wishlists.
8. Install essential apps for your store
Every ecommerce platform offers an app store filled with amazing apps to extend your commerce store’s functionality and grow your business. That’s why you should find the most essential apps and install them into your store:
Here are some app types you should consider:
Apps for marketing and promotion.
App for increasing sales and conversions.
Apps for sales channels.
Apps for SEO and site optimization.
Apps for finding products and managing inventory.
App for customer service (more on that later).
9. Set up an ecommerce helpdesk
Good customer service means better customer retention and more sales. That’s why choosing the right helpdesk is crucial for your online business. It’ll not only help you provide the best customer support, increase engagement, and convert more sales in the process but also seamlessly integrate with your current ecommerce platform.
For ecommerce businesses, Gorgias is an ideal solution as it’s an ecommerce-dedicated ticketing system and has tight integration with Shopify, BigCommerce, and Magento.
Here is what Gorgias offers:
Update orders directly from your helpdesk and work faster with smart automation.
Manage customer requests for multiple storefronts, either on desktop or mobile apps.
Use Shopify and BigCommerce variables to auto-respond order-related tickets.
Integrate with third-party apps like ShipStation, Slack, and Recharge.
Use macros to automate tasks and perform actions like adding tags, bulk action.
Provide instant support by setting rules based on customer intents.
Easy to use, no learning curve involved, no feature overload.
Impartial customer support for all merchants, regardless of the plans you’re using.
10. Set up email marketing
Using email marketing is one of the best ways to develop and maintain a good relationship with customers. If your ecommerce business hasn’t taken the time to adopt email marketing, you’re likely leaving money on the table.
Here are the eight most important emails for ecommerce:
Welcome emails: Thank shoppers for joining your email list, set expectations for what’s to come.
Thank you emails: Thank shoppers for buying from you and reassuring them they’ll receive the order on time.
Survey emails: Send customers an email to ask for their feedback on shopping experience and their experience with your products.
Card abandonment email: Encourage customers to complete their purchase if they leave items in their carts.
Order confirmation emails: Confirm with customers the order they just made in your store.
Upsell and cross-sell emails: Sell customers additional products to increase your store’s average order value.
Promotional offer emails: Tell your customers about your site-wide discounts, holiday offers, free gifts, etc.
Customer loyalty and re-engagement emails: Send emails to existing customers or customers who haven’t purchased from your store in a specific timeframe.
11. Connect with sales channels
The U.S. now has over 230 million active social media users, with nearly 7 million added in 2019. That doesn’t mention the fact that ecommerce sales are heavily influenced by social media. Since your customers are very likely already on some social platforms, you might want to go where they are.
Establish your presence on social media like Instagram, Facebook, TikTok, Pinterest, etc.
Follow influencers in your niche, read their followers’ comments to see what people are interested in and how you can integrate it into your products.
Build a list of branded and non-branded hashtags to use in your social media posts.
Get your products and brand features on price comparison websites, review websites, relevant forums, communities, Quora, etc.
Display your website on handmade and crafts marketplace, on-demand production marketplace, niche marketplace, classified listings website, daily deals sites, Yellow Pages, etc.
It’s essential to set up analytics tracking and monitoring from day one because doing that will give you valuable insights into your visitors and customers.
Your ecommerce platform has its own set of analytics reporting built-in, but you may also want to consider trying these tips:
Set up your Google Analytics in Google Tag Manager.
Register and verify your site with Google Search Console.
Verify checkout tracking.
Customize tracking campaigns using URL Query String Tags.
Filter bots and spiders.
Set up Facebook Analytics.
Also, be sure you understand the importance of the following ecommerce metrics:
Sales conversion rate
Email opt-ins
Customer lifetime value
Customer acquisition cost
Revenue by traffic cost
Average order value
Shopping cart abandonment rate
Net Promoter Score
13. Develop an ecommerce marketing plan
The secret to ecommerce success isn’t just to get your products out there and see how they perform. You need a marketing plan to bring your products to potential customers and convince them to buy.
Without a marketing plan, you might miss out on the fact that “More and more brands are competing for the same eyes. Facebook’s algorithm rewards video and motion-based creative that are more likely to hook your audience quickly. And customers are also more demanding, impatient and curious than ever before,” as Scott Ginsberg, Head of Content, Metric Digital says.
Ensure your marketing plan includes:
SMART (Specific, measurable, achievable, relevant, and time-bound) goals and objectives.
Target customers, personas, and markets. You have to have a clear understanding of who you’re targeting, what characteristics define them, and where they’re located. Also, be sure you know their purchasing power and behaviors.
Channels, tactics, tools to execute your plan. Pay-per-click advertising, SEO, content marketing, influencer marketing, social media marketing, or email marketing—list out everything you’ll do to achieve your goals in detail.
A holiday marketing calendar that shows important holidays and events of the year. It’s also much better if you have a holiday marketing plan in place—the sooner, the better.
14. Integrate payment methods
One of the best ways to reduce abandoned carts is by providing as many payment methods as possible since everyone has different preferences.
Consider integrating these payment options:
Credit and debit cards, bank transfers, prepaid cards.
Digital wallets like PayPal, ApplePay, Google Pay. If you’re selling to China, WeChat should be considered.
Buy now, pay later. It’s a growing trend, especially among millennials and Generation Z.
ACH (Automated Clearing House). This method gives you greater control over payments and increases payment accuracy. Your customers also receive their purchases faster since ACH payments are processed quickly.
Regarding credit cards, you need to set up payment authorization to capture payment from your customers. You can do this by accessing your ecommerce platform admin. For example, in Shopify, you can set up automatic or manual capture of credit card payments. Shopify Payments provides an authorization period of 7 days.
15. Run ecommerce testing
To avoid errors and remove common online shopping hassles, you need to carefully test your ecommerce website before launching it. Also, run continuous A/B testing to identify what makes your customers happy and what brings conversions to your store.
Ensure you do the following tests:
A/B test everything about your CTA buttons.
Test multiple CTAs per page against one CTA per page.
Test ecommerce apps’ functionalities and social media integrations.
Test payment method functionalities.
Check compatibility with web browsers.
Test mobile responsiveness.
Check performance and SEO-related things.
Test websites, including homepage hero images, search button, all pages, pop-up forms, account pages, site loading speed, site security, and more.
Test email marketing sequences.
Test orders on mobile and desktops.
Use this ecommerce launch checklist to get your store ready!
This ecommerce launch checklist represents a roadmap for online merchants looking to start their business from scratch. Mastering the basics, and you’ll avoid all the hassles along the way.
And once your store is up and running, check out these 13 ecommerce growth tactics to take your store to the next level.
Looking for a customer support app for your ecommerce store? Sign up for a Gorgias account and enjoy all the premium features for free in 7 days. Gorgias is an ecommerce-focused helpdesk solution that will help you create the best experience for your customers, improve your support team’s performance, and eventually drive sales.
The overall best customer support metrics to track:
First contact resolution (FCR) signifies how efficient and knowledgeable your team is at solving inquiries within one interaction.
Customer satisfaction score (CSAT) shows how happy customers are with your brand and customer service.
Self-service resolution rate highlights how well you make the most of self-service resources.
The tickets closed per agent metric suggests agent efficiency and serves as a benchmark for your support team's average performance.
Revenue churn rate lets you see the financial impact of losing customers, allowing you to create a more informed strategy.
Converted tickets indicate how effectively your support agents promote and upsell your product.
Most brands keep a close eye on sales numbers, marketing performance, and other parts of the business that generate revenue. But they don’t do a great job measuring customer support performance, usually because they don’t understand the link between customer experience and revenue.
Your customer support team might already measure how quickly you respond to support tickets, which is a great start. The list of metrics we share below paint a fuller picture of the larger impact customer support has on business growth. And once you can demonstrate your impact on business growth, you can start making the case for better tools and more staff.
Track these customer support metrics, improve them, and watch your customer loyalty, repeat purchases, and revenue rise.
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25 key customer service metrics for ecommerce
Below, we describe 25 of the most essential customer service metrics, organized into six categories. Some metrics have to do with your team's performance — like how quickly and well you respond to tickets. Other metrics look deeper at your team's impact on larger company goals, like customer retention and revenue generation.
We’ll also share how to calculate each of these metrics. For some, a simple formula will suffice. For others, a dedicated tool like a helpdesk or survey automation tool will save tons of time.
That said, here are the top customer support metrics to track:
Response time metrics
First response time (FRT)
Average resolution time (ART)
Average reply time
First call resolution (FCR) or single-reply resolution
First response time (FRT) is a metric that tracks how long it takes for you to reply to the first message in a conversation with a customer.
Top performing companies using Gorgias have an average first response time of .54 hours. However, the benchmark varies per channel: aim to respond to email tickets within 24 hours and live chat messages within 90 seconds, according to Klipfolio.
How to calculate average first response time
Calculating your average first response time is relatively simple — most helpdesks will report this number for you. If you don’t have a helpdesk, you can find first response times for tickets by comparing the time stamp when you first received the customer request with the timestamp of the first response. If you received the message at 8 AM on Monday and respond at 8 AM on Tuesday, your first response time is one day.
Add up all of your first response times from the period of time you’re looking to analyze — for example, one month — and then divide that number by the total number of resolved tickets during that same time frame:
Total first response times during chosen time period / total # of resolved tickets during chosen time period = Average first response time
Using real numbers, here’s an example of what this calculation looks like:
Your average reply time (or average response time) refers to how long it takes for you to respond to any customer support message, not just the first message of a ticket. Your average response time should be similar to the first response time. You don’t want to keep customers waiting, even in prolonged conversations.
How to calculate average response time
To find your average response time, add up the total time your team has taken to respond to requests during a specific time period. Then, divide that number by the total number of responses your team sent during that time period:
Total time taken to respond during chosen time period / number of sent responses = Average response time
3) Average resolution time (ART)
Average resolution time (ART) refers to the amount of time it takes for your customer support team to fully solve the customer’s problem and close the ticket. We analyzed data across about 6,000 ecommerce companies using Gorgias to provide customer support and we found that the top-performing companies have an average resolution time of 1.67 hours.
Inside Gorgias, your average resolution time is automatically tracked. In your account, you’ll get visual reports showing your average resolution time in a given time period.
How to calculate average resolution time
To calculate average resolution time, also sometimes referred to as “mean time,” begin by choosing a specific time period to analyze. Then, total up the length of all of your resolved conversations with customers during that time period. Once you have that number, divide it by the number of conversations had during the time period you’ve chosen to analyze:
Total duration of resolved conversations / # of customer conversations = Average resolution time
You know what customers absolutely love? When they can get their issues resolved with a single interaction. Single-reply resolution rate calculates what percentage of your tickets are handled with the first reply. It’s also known as the first contact resolution rate or FCR.
Single-reply resolution rate = Total number of requests resolved with one interaction in a single time period divided by the total number of requests in the same time period.
How to calculate this first contact resolution
To find your single-reply resolution rate, you can simply divide the number of support issues that were resolved on the first reply by the total number of tickets that are FCR-eligible (FCR-eligible means only including tickets that are possible to give a resolution in one response). As a formula, it would look like this:
Number of support issues resolved on first contact / total number of FCR-eligible support tickets = FCR rate
5) Average ticket handle time
The average handle time (AHT) is an important metric to track if you offer customer service via phone. In today’s online world, most ecommerce companies handle tickets only with chat and email. However, very large ecommerce brands may choose to provide phone call support as well.
The average ticket handline time includes the total talk time and total hold time for that caller. You can calculate the average for larger periods of time to get better insights, such as per week or per month.
To find your average ticket handling time, add up the total time spent on all voice tickets within the time period you’re analyzing, including talk time, hold time, and follow-up time. Then, divide that number by the number of tickets a customer support agent handled on all channels within that same period of time:
Total voice ticket time / # of total tickets touched = Average handle time
Customer satisfaction metrics
6) Customer satisfaction (CSAT)
Customer satisfaction (CSAT) is a metric to measure your customer base’s level of satisfaction with their experience. CSAT is one of the most important measurements because satisfied customers return to your store, refer friends, leave reviews, and unlock reliable revenue for your brand.
CSAT compiles responses to a very simple question: “How would you rate the help [Agent] gave you?” You can use a survey or a website feedback widget to ask customers to rate on a scale of 1 to 5 how satisfied they are with a support experience.
CSAT aims to get an overall benchmark for your team’s performance, plus information about the service experience each agent provides. If this score suddenly drops or peaks, you should act fast to see what happened. For example, you may be sending delayed or unhelpful responses after launching a new product, getting a spike in ticket volume, or changing a policy like refunds and returns.
Read our in-depth guide to CSAT score for more tips on improving your CSAT score and CSAT survey response rates.
How to calculate CSAT
Calculate your customer satisfaction score by asking a question like, “How would you rate your satisfaction with the goods/services you received?” Then, you would give the customer the option to respond on a scale of 1-5. The scale would look something like this:
Very unsatisfied
Unsatisfied
Neutral
Satisfied
Very satisfied
With Gorgias, you can automatically send one of these surveys after each interaction with customer support:
Once your customers respond, you’ll need to use the responses in this formula if you don’t have a helpdesk that does it automatically:
(Total number of 4 and 5 responses, or “satisfied customers” / number of total responses) x 100 = CSAT
An example of this could look like this:
(126 4 and 5 responses) / (300 total responses) x 100 = 42% CSAT, which indicates you aren’t doing a great job of satisfying customers.
Support performance score is a metric Gorgias created that combines average first response time, average resolution time, and CSAT for a single score out of five that concisely represents your customer service performance. If you could only track one customer service metric — which we do not recommend — it would be this one.
Support performance score balances these three metrics to represent three of the most important elements of quality support:
Speed, with first response time
Helpfulness, with average resolution time
Customer satisfaction, with CSAT score
How to calculate support performance score
Support performance score is calculated with a series of thresholds for CSAT, FRT, and resolution time. You have to meet the threshold in each category to reach the next level. Here are the thresholds for FRT, for example:
According to The Effortless Experience, 96% of high-effort customer experiences drive customer disloyalty. In other words, the amount of effort across your entire customer journey has a huge bearing on the success of your customer experience and, by extension, your brand’s revenue.
By measuring CES, you and your team members can work towards reducing customer effort, which in turn will increase the lifetime customer value and the likelihood of word-of-mouth referrals.
You may be wondering what exactly is considered “high effort.” This could include long wait times when a customer calls in or reaches out via email, or not getting a concise response — which leads to time-consuming back-and-forth. Of course, “effort” is subjective and highly dependent on the individual customer and their expectations.
How to calculate customer effort score
To measure CES, you’ll need to utilize another survey. The questionnaire should ask the customer how much effort they had to exert in order to get their question answered.
For example, “[insert company name] made it easy for me to handle my issue.” Then, you’d provide a scale of 1 to 10. A score of 1 would be “strongly disagree,” while 10 would be “strongly agree.”
Once you’ve collected the data, you can calculate your average customer effort score:
Total sum of all responses / total number of responses = CES
9) Customer contact rate
Customer contact rate measures the percentage of active customers who contact support each day, month, or year.
A high customer contact rate is an indicator that your customer experience is confusing and unclear. It also means your agents will be swamped with tickets and may not have enough time to provide quality responses.
A high contact rate might also drive down revenue: a customer support interaction is 4x more likely to drive disloyalty than it is to drive loyalty, according to The Effortless Experience. While you want to make your interactions as helpful as possible, you’re better off giving customers a clear, effortless experience without having to reach out to support in the first place.
You can drive down customer contact rate with clearer self-service resources, like an FAQ page and shipping and returns policies.
How to measure customer contact rate
Divide the number of customers who contact your customer service team for help over the course of a month by the number of total customers. Then, multiply that number by 100.
Contact rate = (Number of customers who contact you in a month / Total number of customers) x 100
10) Net promoter score (NPS)
Similar to the CSAT, the NPS is a common metric for measuring customer satisfaction. Customers will rate on a scale from 1 to 10 how likely they are to recommend your business to a friend. It’s best to measure this regularly, so you can determine your company’s benchmark and look for any drops or spikes in the average rating.
You can use a feedback widget on your website to collect this data, or include the quick survey at the bottom of emails for transaction or shipping updates.
How to calculate net promoter score
To calculate net promoter score, you first need to gather data using a customer survey. Send a survey to customers after they make a purchase that asks them, “On a scale of 0 to 10, how likely are you to recommend [products or service] to a friend or colleague?” On this scale, 0 would be not at all likely, and 10 would be extremely likely.
Customers fall into three categories based on their responses to these surveys: promoters (scores 9 or 10), passives (scores 7 or 8), and detractors (scores 0 to 6). Once you have all the data collected, you can apply the numbers to this formula:
Total % of promoters - total % of detractors = Net promoter score
Conversation abandonment rate is a metric to understand how frequently your customers abruptly end interactions with customer support before reaching a clear resolution.
Whether the conversation is happening via email, chat, or phone call, conversation abandonment signals something larger is wrong. Most conversation abandonment happens after customers wait too long or become frustrated by poor service.
How to calculate conversation abandonment rate
To calculate this metric, all you need to track is the number of abandoned incidents and the total number of incidents. In this context, “incidents” refers to either calls, emails, or live chat sessions. Once you have those two numbers, you can plug them into the following formula:
Conversation abandonment rate = (Number of abandoned incidents / Total number of incidents) x 100
12) Unresolved ticket rate
Your average number of unresolved tickets is a very important metric to track because unresolved tickets are a leading indicator of unhappy customers. You don’t want too many unresolved tickets piling up. Set a company-wide goal for the maximum number of unresolved tickets per day, week, and month.
Your unresolved ticket rate includes all abandoned conversations, which you read about in the above section. They also include any tickets where the support team couldn’t provide a real solution, plus tickets that your support team forgot to follow up on.
How to calculate unsolved ticket rate
Similarly to ticket volume, you don’t need a specific formula to calculate your number of unresolved tickets. Rather, all you need is a reliable system (whether it’s a helpdesk or a process) for keeping track of how many tickets are left unresolved after a certain length of time.
13) Self-service resolution rate
Want to know how well your self-service strategy — whether that’s automated chat conversations, self-service chat flows, a blog, or any other self-service resource — lowers customer and agent effort?
You can separate out tickets that did not have a customer support representative work on them, and that were resolved only with automation. You can also track the amount of views your self-service resources get to understand how many tickets they deflect entirely.
How to calculate self-service resolution rate
Finding your total self-service resolution rate is a bit difficult because you don’t have a ticket to open or close. You can track views on your self-service resources to understand whether they’re being adopted, and track changes to your contact rate to see if they reduce the number of tickets coming in.
Automated support resolution rate is a little easier to calculate:
Automated support resolution rate = Total number of requests resolved with only automation in a single time period divided by the total number of requests resolved with automation, manual support, and a combination of both (in the same time period).
(Solved tickets with automation / total tickets received) x 100 = Resolution rate
14) Social media support tickets
Customers’ issues do not only exist in your desired support channels like email and chat. Do you get support tickets on social media? Rather than fight against this trend and attempt to ask customers to submit a ticket via chat, you should respond and help them. Just don’t share sensitive data, of course.
Measure the number of social media support tickets that you get every day, week, month, and quarter. When that number grows, it’s not necessarily a bad thing. It could mean that more of your customers are interacting with your social media profiles. However, it’s still important to pay attention to the benchmark metrics and key performance indicators (KPIs). Sudden changes could represent an issue with your product or shipping speeds.
With Gorgias, you can track and respond to every support ticket that comes through social media — or any channel — from within the helpdesk:
Unfortunately, there isn’t a clear-cut way to measure and analyze social media support tickets, so we encourage you to use a social listening tool that allows you to do a number of things. For instance, tracking brand mentions on social media, as well as how many tickets are coming in through your social platforms during various periods of time. Having all of your social metrics in one place will make them much easier to analyze than pulling them one-by-one out of several different spreadsheets.
15) Social media brand mentions
How frequently your brand is mentioned on social media is a critical metric to track if you want to provide incredible support and get on top of PR disasters. You should have a good benchmark for how often your brand is mentioned per day and per week. If the number spikes, then one of your products might have gone viral, or you’ve got a PR nightmare happening.
You can pay attention to brand mentions with a social listening and brand monitoring software. It’s also smart to use a helpdesk built to manage social comments.
How to calculate this metric
To keep an eye on your social media brand mentions, you’ll need to tap into a social listening tool, as mentioned above. You can certainly try to do this manually and track it all in a spreadsheet, but similar to tracking the volume of tickets, digital software will make this process easier and more efficient.
Agent performance metrics
16) Tickets closed per agent
You might also want to measure the number of tickets closed per agent for a certain time period. For example, you could look at the number of tickets each agent is closing per day to spot differences in productivity. You could look at a longer period of time, such as per month, to find which agents are consistently closing more tickets, assuming they each work the same number of hours.
This will help you discover the agents who deserve praise and bonuses, and which ones might need training. If you find an agent that is always closing too few tickets, it may be time to let them go, unfortunately.
With Gorgias, this metric is automatically tracked in your account:
Plus, you can zoom out to understand trends among agents over time, to compare performance or plan your weekly coverage schedules:
How to calculate this metric
To calculate the number of tickets closed per agent, take the total number of tickets closed during a certain time period and then divide it by the number of agents working during that same time period:
Total # tickets closed / # of agents = Tickets closed per agent
17) Ticket quality
Ticket quality isn’t a metric on its own, but it’s a metric you can create to score your agents’ tickets and work toward a consistent quality of response.
We recommend all customer support teams develop a sort of rubric that defines, in objective terms, what a “good” response looks like. The rubric can include things like:
Response time
Level of empathy
Adherence to brand voice
Correctness (or adherence to company policies)
Your agents will appreciate having concrete goals for their tickets. Plus, you will have an easier time holding agents accountable to standards if they’re written down. You can, and should, regularly update your rubric as you dig into data to understand what ticket qualities actually produce the best results.
How to measure ticket quality
As we said, this isn’t exactly a metric to measure. So instead, we’ll recommend that you spot check each agent’s tickets against this rubric. This doesn’t have to be an intimidating process. Some support companies have weekly ticket breakdowns where the entire team — or team leadership, for larger companies — discuss and score tickets against the rubric to get on the same page about ticket quality.
18) Template utilization
Templated responses save your agents a lot of time and, by extension, mean customers get answers faster. If you don’t have a customer support platform, you can create templated responses in Gmail to answer common questions like, “Where is my order?” (WISMO). If you use helpdesk software, you can also likely add pre-written responses agents can use for each channel. At Gorgias, we call these Macros.
You can get statistics on the utilization of your Macros in any given time period. You can then compare this to the use of tags. For example, if the tag “Cancel Order” was used 100 times in one week, but the Macro was only used 50 times, then that means that your reps only used the Macro half the time.
Talk with your reps about why they’re underutilizing certain Macros. You might need to improve the copy of the Macros or add more variables to make it more useful. Or, you might simply need to remind new reps about the Macros feature.
How to calculate this metric
If you don’t use a helpdesk, you’ll likely have to manually review tickets to see when the template was and wasn’t used. Helpdesk software will automatically report on template utilization.
Churn & retention metrics
19) Repeat customer rate (RCR)
Your company will always have two types of customers: new customers and repeat customers. Tracking both is important, but tracking repeat customers specifically will help you determine if your retention efforts are working. Repeat customers also have a larger impact on overall revenue: Repeat customers generate 300% more revenue than first-time customers, according to data from Gorgias merchants.
The value of repeat customers is compounded by the fact that retaining a current customer is five times less expensive for a business than finding a brand new customer.
How to calculate repeat customer rate
To calculate your repeat customer rate (RCR), you can divide your number of repeat customers by your total number of customers, then multiply that by 100. This means that in order to calculate the RCR properly, you need to already be tracking repeat customers versus new customers. The formula for RCR is as follows:
(Total repeat customers / total paying customers) x 100 = RCR
Using real numbers, here’s an example of what the RCR calculation looks like:
As mentioned previously, retaining customers is always less expensive than finding new customers. That’s why customer retention rate (CRR) is a vital metric. Ecommerce companies in particular have an average CRR of about 30%, according to Omniconvert, so if your company’s CRR is lower than that, it could be a sign that your customer support isn’t as effective as it could be.
How to calculate customer retention rate
To calculate CRR, you will need the following information: number of customers at the end of a given time period (E), number of customers gained within that time period (N), number of customers at the beginning of the time period (S).
Net retention rate, sometimes called net dollar retention (NDR) or net revenue rate, measures the percentage of recurring revenue retained from your existing customers over a month, quarter, or year. Klipfolio reports that a good NRR is anywhere between 90% and 125%, depending on your brand’s niche, product, and total addressable market (TAM).
This metric is most common among SaaS companies and subscription-based ecommerce companies, but it can absolutely apply to all types of ecommerce brands and even other industries.
How to measure net retention rate
Net revenue retention depends on your business model — it’s easier to calculate for subscription companies than companies that sell standalone products. That said, here’s the formula for net retention rate:
NRR = [(Monthly recurring revenue (MRR) at the start of a month + expansions + upsells - churn - contractions) / MRR at the start of the month] x 100
22) Customer churn rate (CRR)
Customer churn rate measures the amount of customers your business loses over a given time period.
Customer churn is a more common metric for SaaS businesses and other subscription-based business models because those business models can easily spot the moment when an active customer cancels their subscription, or churns.
However, all businesses, including ecommerce businesses without subscription-based products can track churn rate. But ecommerce businesses might find revenue churn rate, which we discuss below, easier to track.
How to measure customer churn rate
To calculate customer churn rate calculation, gather the total number of customers who were with your business at the beginning of a time frame and the number of active customers at the end of the time you’re analyzing. Then, use this formula:
[(Customers at the beginning of the time period - customers at the end of the time period) / Customers at the beginning of the time period] x 100 = Customer churn rate (%)
23) Revenue churn rate
Revenue churn measures changes in your store’s incoming revenue from existing customers. Businesses that sell standalone products might find this more simple to track than customer churn rate, which is better geared toward subscription-based businesses.
Revenue churn rate is easier to conceptualize and measure because you’re measuring changes in revenue from existing customers, which is a clear-cut number for every type of store, not changes in existing customers themselves.
Formula for calculating revenue churn rate
First, find your monthly recurring revenue (MRR) — or the incoming revenue you got from existing customers — at the beginning of the month and subtract that from your MRR at the end of the month. Divide that amount by the total MRR at the beginning of the month. Here’s the formula:
[(Revenue from at the beginning of the time period - revenue from customers at the end of the time period) / Customers at the beginning of the time period] x 100 = Churn rate (%)
Revenue-related metrics
24) Converted tickets
The number of support tickets your customer support team converts into a purchase shows the value of your customer support team in cold, hard cash. We count a ticket as converted whenever a customer places an order within five days of contacting customer support.
Customer support agents can provide helpful pre-sales answers to new customers asking about things like product sizing or your returns policy. Likewise, a helpful interaction after a purchase could make a customer feel confident and loyal enough to place a repeat purchase.
With Gorgias, you can measure your converted tickets and other revenue statistics in a convenient dashboard. Converted tickets can be from self-service, or automated, and manual responses.
How to calculate converted tickets
Before you start calculating, make sure that both numbers are from the same time period. Then use this simple formula to calculate your converted tickets:
Total number of sales within five days of a customer support interaction / total number of tickets = Ticket conversion rate
Revenue backlog helps you measure how much revenue your business will see in a coming period. This metric is especially for ecommerce brands with a subscription-based model.
Keeping tabs on your revenue is vital to ensuring your brand's growth and continued success. By tracking your revenue backlog, you’ll be able to see if revenue is going to drop before it actually does.
To determine your revenue backlog, you’ll just need the sum of the values of your customers’ subscriptions. If you don’t exclusively sell subscription packages, you’ll need to use tools like Dataweave or Y42 to measure upcoming revenue.
Why should ecommerce businesses track customer service metrics?
Happy customers are the best fuel for growth. In other words, the performance of your customer support team (and overall customer experience) directly impacts your bottom line. Customer service metrics help you understand — and improve — the value that customer service brings to your business.
Understand customer support’s impact on revenue
90% of American consumers say that customer service is a deciding factor in whether or not they will do business with a company. Potential customers might ask a question about delivery or the product before making a purchase. And shoppers depend on quality support experiences after the purchase for a great end-to-end experience. If you flub that chance, they may never come back.
Existing customers are also your biggest spenders, and they rely on quality customer support to stay loyal. According to Gorgias research, repeat customers generate 300% more revenue than first-time customers of ecommerce brands. We estimate that by increasing your repeat customer base by 20%, you could increase your revenue up to 6%.
Measure the quality of your customer experience
Customer experience is mission-critical — see above for its impact on your revenue — but it isn’t easy to measure. That’s because it encapsulates your on-site shopping experience, customer support interactions across many channels, post-purchase interactions like shipping and returns, and so much more.
Customer support metrics help you evaluate your support program and the customer experience across all those touchpoints so you can benchmark your team’s performance, communicate your performance with company leaders, and find opportunities for improvement.
Find actionable opportunities for improvement
As we just mentioned, tracking a full suite of customer support metrics can also help you find specific areas of improvement. If you don’t keep track of many customer support metrics, you’ll only have extremely high-level impressions and small samples of customer feedback to paint a picture of your strengths and weaknesses.
But if you have real-time tracking for a wide range of metrics, you can better diagnose the problem and find a strategic solution. For example:
If your average resolution time is longer than eight hours, you might create new templated responses to help your agents send fast, helpful answers
Make a case for additional training, staffing, and tools
Concrete metrics are great ammunition for your customer service team when making the case to business leaders for more budget to hire additional agents, purchase additional tools, and ramp up training.
To argue for more investment, you can communicate which projects have produced early improvements. For example, if you set up an FAQ page and see lower contact rates, you can expand the page to a fully-fledged help center.
You can also quantify challenges to make a case for more tools. For example, say your agents often ask customers to repeat information or lose time copy/pasting order information from your ecommerce platform to customer support conversations. You could make the case a helpdesk that unifies all your customer support channels and store data in one platform.
Track and improve your customer service metrics with Gorgias
Now that you have all the important customer service metrics and formulas to support your customer success program, you may be ready to explore a product to help make tracking it all easier. A centralized customer service software like Gorgias can help save you and your team hours upon hours of time. That time you can spend getting back to what you do best: great customer support.
The Gorgias platform connects all of your integrations and allows for robust analytics tracking, so you can:
If you’re on a mission to measure how your customer service team performs (and stacks up against the rest of your industry), check out our benchmark report.
As you hire more customer service agents, providing quality support across the entire team becomes a major challenge. Without clear rules, agents may each handle key tasks — like building self-service resources or handling refund requests — in different ways.
Fortunately, a good customer service policy helps avoid these problems. But to be truly effective, your policy needs more than platitudes like “Be friendly” or “Respond quickly.” Instead, it should include specific and actionable information.
In this guide, we’ll help you create a useful customer service policy by sharing the five key topics it needs to cover. We’ll also discuss how to write and enforce your policy.
A customer service policy is a document containing a set of guidelines, rules, and standards for customer service teams. Its goal is to help agents handle day-to-day tasks and set benchmarks for great customer service.
How and where are customer service policies used?
Customer service policies are among the first documents provided to new agents during their training. They act as cornerstone documents for a business's entire customer service team, since agents can use them during difficult or process-heavy interactions, like customer complaints, order cancellations, and so on.
A customer service policy is an internal document, so you won’t share it publicly. However, you can use it as a foundation and repurpose parts of it into various customer-facing policies (like cancellation or refund policies). These policies help you set customer expectations and reduce repetitive inquiries like "What's your return policy?"
Take a look at how Marine Layer does this in a concise way:
Transactional emails: For instance, emails that confirm an item has shipped from the warehouse and includes order tracking and a clear return policy
Terms and conditions that people sign when becoming customers: These documents usually have sections dedicated to customer-facing policies around refunds, returns, order cancellations, and so on.
Customer service policy vs service-level agreement (SLA)
While similar, customer service policies and service-level agreements (SLAs) are not the same.
Customer service policies are internal documents that help agents by setting standards and policies. Service-level agreements (SLAs) are external documents that define the expected level of service between a business and its customers. Use an SLA to communicate information like:
Above, Berkey listed the working hours for two of their support channels, as well as their average response time. This is a clear promise to customers that sets their expectations for the level of service provided by Berkley Filters.
The importance of having a customer service policy
While customer service policies vary for each company, they bring some key benefits to all organizations. Specifically, they:
Help customer service agents do their job. A clear, easy-to-find policy lets agents quickly find the rules they should follow in any given situation. This saves them a lot of time and effort since they don’t have to come up with (or remember) what they should do on the fly.
Ensure consistent support for every customer. Without a policy, agents can interpret identical situations differently, resulting in inconsistent service. A good policy nips this problem in the bud and guarantees that customers get the same level of care across the board.
Establish standards and expectations for the customer service team. A key outcome of the policy is defining what “quality customer service” is — how fast service reps should respond, how quickly they should resolve issues, and so on. This provides agents and their managers with an objective measure for evaluating performance.
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When should you create a customer service policy?
Even if you're a customer service team of one, we recommend laying the foundations of your customer service policy as early as possible.
Here’s why:
You, and any agents you hire, will be faced with some situations over and over, regardless of business size or industry. The sooner you set the rules for these scenarios, the better your chances of providing consistent service, avoiding confusion, and setting standards for your team.
Team members who handle customer inquiries should know how to deal with these from day 1.
Outside of these situations, you should continue to expand your policy as your customer service team grows. That’s a major aspect of ensuring consistent, high-quality service across a larger team. We’ll discuss some additional policy topics in the next section.
What to include in your customer service policy [checklist]
Some elements of the customer service policy will vary depending on company size and industry. For example, a clothing brand's return policy will be different from that one for a brand that sells perishable goods.
However, pretty much all policies should cover the following 5 key topics below.
1) Steps for handling common customer service workflows
This is the most important part of your customer service policy. It empowers agents with the knowledge they need to resolve customer issues and provide quality support.
Here are some common workflows to include in this section:
Refund and return requests. Agents need clear instructions on how to act when buyers request refunds or want to return an item. For example, if the request comes in within your policy’s timeframe (say 15 days after the purchase) agents should give a no-questions-asked refund. Some businesses allow refunds and returns for repeat shoppers even after the deadline, so don’t forget to list all exceptions to this rule.
Order cancellations. At a minimum, your policy should state how much time buyers have to cancel an order after placing it. Allowing cancellations until an item ships out of the warehouse is a simple way to handle this.
Damaged goods complaints. Online stores usually specify a timeframe in which damaged goods claims have to be filed (e.g., 2 days after the item was received). If the complaint was made on time, agents should explain how to return the product and what to expect next. Some businesses even offer buyers a choice between exchanging their item or keeping it with a small discount when the damage is small.
Shipping problems. Lots of factors can result in an order being delivered after the deadline you promised (or not being delivered at all), so agents must know how to handle these situations. Offering credit to the customer’s account is a commonly-used practice here.
Item exchanges. Your policy should clearly state which items buyers can exchange and under what conditions. For example, custom items (e.g., with a person’s name) usually can’t be exchanged, while generic ones can be exchanged with others in the same category and price point.
Dealing with angry customers. We’ve discussed how to handle these situations in our article on dealing with angry customer emails. Most importantly, instruct agents to read the complaint carefully, acknowledge the customer’s problem, and don’t let the situation affect their emotions. Also, make sure to lay out guidelines for escalation, when a manager should be involved in the conversation.
As you can see, there are many scenarios to consider here. Fortunately, once you’ve outlined them, you can easily build a library of message templates around your common processes, so your agents don’t have to waste time typing from scratch.
Gorgias’ version of templates, called Macros, include variables that automatically populate with each customer’s unique information (like names, order numbers, shipping information, and more). This means you may be able to simply pull up and send the relevant Macro without any copy/pasting.
You can also put information about these key policies in useful self-serve resources like FAQ pages or a help center. These empower visitors to instantly resolve simple issues themselves, instead of flooding your team with repetitive tickets (and having to wait for a response).
2) Guidelines for prioritizing customer inquiries
This is another crucial topic for your agents’ day-to-day that every customer support policy should include. Without prioritization rules, agents can follow their own prioritization logic, resulting in poor response times for urgent tickets.
Here are three prioritization factors to include in your policy:
Inquiry channel. If you’re using messaging channels, consider prioritizing them to meet the built-in expectations for fast responses. As a rule of thumb, real-time channels like SMS and live chat should be answered within a few minutes, while emails should be answered within a day.
Request urgency. Say a customer reports a bug that prevents them (and potentially other shoppers) from completing a purchase. Regardless of the channel, these types of inquiries should take priority over more generic questions.
Customer type. You want to keep your best customers happy with priority service. On that note, consider that repeat shoppers generate 300% more revenue than new customers, as we mentioned in our Customer Experience Growth Playbook.
As we mentioned, SLAs are customer-facing promises about your team's response and resolution times. This information should also be in your policy, so agents are aware of the expectations your SLA sets.
But what if you don’t have an SLA? Well, your agents still need to what standard they’ll be held to, i.e., what “good customer service” means for your company.
That’s why your policy needs to establish a set of customer service metrics or key performance indicators (KPIs), regardless if you have an SLA or not.
First Response Time (FRT) is the primary metric to consider here.
FRT measures how long your agents take to respond to customer inquiries, on average. You can have different FRT targets, depending on the channels you use. For example, a 1-hour FRT might be great for email support, while 1-2 minutes is usually a good target for live chat and SMS.
As Brianna Christiano, Director of Support at Gorgias explains:
“We actually have members of the support team who monitor FRT every hour. This allows us to keep a pulse on our workload and pivot if necessary. If we notice that live chat or SMS inquiries are getting overwhelming, we’ll ask team members who typically do, for example, email support to help with the live messaging channels so we can maintain a low FRT.”
Also, you can use FRT to nudge buyers to try a specific customer service channel.
Let’s take another look at Berkley Filters’ Contact page:
Average Resolution Time (ART): How long your customer service team takes to resolve tickets, on average. To calculate it, you first need a specific time period to analyze, like one week or a month. Then, add up the length of all resolved conversions during that period. Finally, divide that number by the number of customer conversations you had during the same period.
Customer Satisfaction Score (CSAT): A measure of how satisfied visitors are immediately after an interaction with a customer service agent. You can collect feedback by running customer surveys with a question like “On a scale from 1 to 5, how satisfied are you with your experience today?” Then, to calculate your CSAT, divide the positive customer feedback (4- and 5-star responses) by the total customers and multiply the result by 100.
Support Performance Score. This is a metric we created for our team at Gorgias and share with merchants to get a single snapshot of their team’s performance. It combines average first response time, average resolution time, and CSAT. The result is a score between 1 and 5, representing the team’s (or an individual agent’s) performance.
4) Tone of voice and acceptable language
Your support team may be the only direct point of contact with your business for many customers. That’s why it’s crucial to establish that agents’ tone of voice should match the brands’ — whether that’s professional, friendly, or a mix of both.
But this is a pretty broad rule that can be difficult to apply in real-life situations. You also want to add clear examples of what fits within your tone of voice guidelines and what doesn’t.
For instance, starting customer interactions with an energetic tone can be a good foundation. However, agents should adapt to each customer’s tone after the initial contact. After all, annoyed visitors likely won’t respond well to humor or light-hearted conversation.
Also, make sure to add an exhaustive list of words for your agents to use and avoid. For instance, agents shouldn’t sound overly apologetic when discussing fixed company policies (refunds, order cancellations, etc.) with customers. You can instruct them to avoid apologetic language and instead use empathetic — but not overly apologetic — phrases to communicate the facts.
If you use different customer support channels, it’s a good idea to include specific guidelines for them. For instance, call-center agents can be instructed to:
Periodically reassure people that they’re listening
Speak clearly without rushing or raising their voice
Give people enough time to explain their problems
Of course, apply these same tone-of-voice considerations to any customer support templates or self-service resources. All of these are an extension of your brand, and ensuring consistency at the source is mission-critical.
5) Rules for proactive customer service
Customer service is much more than responding to tickets. Proactive customer service — where agents make the first move, instead of waiting for people to contact them — can help you exceed buyers’ expectations, drive revenue, and reduce repetitive questions.
If you haven’t tried proactive customer service, here are some ideas you can test and describe in your policy:
Create self-serve resources and send them to visitors. Based on Statista’s survey, 88% of customers expect brands to have self-service resources. Think FAQ pages or a help center that groups resources by topic. Making these resources available and prominently displayed makes the customer experience more convenient (and reduces repetitive support tickets that may currently be flooding your support inbox.)
How to write a useful customer service policy (outline template)
Before you dive into the policy’s content, make sure to name your document in a clear way, i.e., “Customer Service Policy” or “[Brand Name] Customer Service Policy”.
No need to get creative with the name. You just need people to be able to find it fast when they need it.
Before diving into writing the policy, consider that it should only cover topics that are specific to the customer service team. Broader topics (like code of conduct or other employee rules) should be part of larger company handbooks or other high-level documents, so the customer service policy doesn’t lose its focus.
In terms of content, it can be useful to separate the policy into two parts.
1) Information about the company’s mission, values, and products
This first section lays the foundation for the rest of the policy. Your company’s values and mission statement are a common place to start.
For example, Abel Womack — a material handling company — begins the public-facing version of their company’s policy by saying that it “has been established to be reflective of our shared values”, which are integrity, empathy, customer care, and teamwork.
Some policies also include details about the company’s products at this stage. If you sell various complex products, it can be useful to add that information. If not, you can skip it and move on to the meat of the policy.
2) Rules, guidelines, and standards for your customer service team (outline template)
The second half contains actionable information that helps agents provide excellent customer service.
Writing this part can be tricky, especially if you haven’t done it before. Fortunately, an outline makes the process much easier, compared to starting with a blank page.
Feel free to copy the outline below, which is based on the checklist from the previous section.
From here, it’s all about filling in the specifics using your brand’s terminology e.g., “customer service representatives”, instead of “customer service agents”, and so on.
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Practical tips for enforcing your customer service policy
So, you’ve done the hard work of creating a detailed and actionable customer service policy. Now, let’s get agents to actually use it.
First and foremost, ensure the document is easy to find by:
Putting it in your Google Drive, knowledge base, or wiki.
Also, keep in mind that the policy shouldn’t be a static document. Instead, it needs regular updates as you add new products, team members, and support channels. Entrusting a customer service team member, likely a manager, to keep it updated is a must.
Another key tip for improving enforcement is tying the policy to the metric(s) you use to evaluate agents’ performance. This will keep people accountable and give you an objective way to determine their adherence.
Here’s an example of this idea in action by Brianna Christiano, Director of Support at Gorgias:
“At Gorgias, we use an internal quality metric to gauge the support team’s performance. Each week, managers audit 3 of their agents’ tickets and determine the quality and efficiency of the provided service, based on that metric. This lets us continuously evaluate and reinforce customer service rules and standards.”
Finally, getting managers to shadow new agents is another best practice here. This lets managers reinforce your policy from day 1. Plus, it’s a useful way to check if new agents can satisfy customers’ needs.
Next steps: Evaluate your policy’s impact
After weeks of writing, introducing a new policy to the team feels great. But getting the document out there is only half the battle.
You then need to monitor if the policy is helping you reach your customer service goals.
To do that, keep a close eye on your support metrics (FRT, ART, and so on) in the weeks after the initial implementation.
It’s also crucial to determine if your new policy is truly customer-centric. This means tracking feedback metrics, like CSAT and other customer satisfaction metrics that have a major impact on customer retention.
An ecommerce returns automation tool streamlines the returns process by automating return requests, payment processing, and customer updates.
Choose a tool with ecommerce platform and app integrations, analytics, and a self-service portal.
ReturnLogic is the best returns management tool, providing a return portal, inventory management, and powerful analytics dashboards.
Managing product returns is often one of the most significant expenses of running an online store. Data from Invesp shows that 30% of all products purchased online are returned, compared to just 8.89% of products purchased from brick-and-mortar retailers.
There are several reasons why returns are so common in ecommerce — the most prominent listed in the image below. But regardless of the reason, the bottom line is that your store's bottom line depends on an optimized returns process.
We’ve already discussed how you can optimize your returns process, but most growing stores need additional help. Thankfully, there are plenty of returns management software tools on the market today that are designed to reduce the expense of returned products without harming customer satisfaction.
In this article, we'll explore what to look for in great returns management software before highlighting the nine best returns management tools available today.
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What is returns management?
Returns management is the process of helping customers who need to return an item, whether online to an ecommerce shop or in person at a brick and mortar store. Typically, customers submit a return request, send or bring an item back, and the business restocks the item and credits back the customer.
What is ecommerce returns automation?
Ecommerce returns automation is a tool that manages the returns process for online stores using automation and AI.
Instead of relying on manually managing returns and refunds, automation software minimizes human error and accelerates the following processes:
Handle customers' return requests through an online portal
Generates and automatically provides return shipping labels
Automatically processes refunds and exchanges
Automatically manages inventory
Sends automated updates to customers
What makes returns management software great?
There are several key reasons why returns management software is a valuable tool for any ecommerce business. From helping you automate your returns process to helping you reduce your return rate through insightful data, here are just a few top reasons why the right returns management solution can be highly beneficial:
Helps automate your product returns process
Managing returns is often a time-consuming process — and an expensive one. According to Axios, returning a $50 item costs retailers an average of $33. And slow, clunky processes are a big part of the issue.
By automating much of your product returns management process, returns management software can make handling online returns much less of a hassle:
Automatically generating return labels
Providing customers with a self-service return portal
Automatically sending out shipping updates for returned products
One of the most important things to look for in returns management software is its existing integrations. For example, returns software that integrates with your email marketing platform makes sending out customized shipping updates easy.
Meanwhile, choosing returns software that integrates with your customer support platform makes it easy for support agents to process returns while assisting customers. Below, we’ll link whenever a returns tool integrates with Gorgias to save you the time of searching.
These are just a couple of examples of the value you gain when your returns management system integrates with the other tools your ecommerce store uses.
Provides easy to read data analytics and has a clean dashboard
According to data from Statista, reverse logistics — otherwise known as returns management — cost U.S. businesses a total of $102 billion in 2020 alone. If you want to reduce returns' impact on your store's bottom line as much as possible, it is essential to optimize both your returns process and the customer experience with your products.
To this end, nothing is more important than the customer returns data that you collect. By providing returns data in a clean and organized dashboard, returns management software makes it much easier to draw the insights you need to process returns in a more cost-effective manner. It also offers your customers a better experience, which lends itself to a lower return rate.
If you are looking for tools that will make managing returns much more efficient and convenient for you and your customers alike, there are several excellent options to consider adding to your tech stack. Here are our picks for the top nine returns management tools.
Next to each tool, we’ll list the G2 review score to help you understand current user satisfaction.
ReturnLogic is a comprehensive solution designed to automate the entire returns process, offering customizable workflows that can automate tasks such as:
ReturnLogic also offers warranty processing for accepting warranty claims from third-party purchases, powerful insights and analytics, and a customizable return portal designed to make returning products more convenient for your customers.
Another key benefit of ReturnLogic is that its return portal is designed to encourage customers to exchange items rather than request refunds, enabling you to further reduce the impact of returns on your store's profits.
Pros
Long list of useful integrations
Designed to encourage exchanges for returned items rather than refunds
Wealth of insightful analytics regarding your products and returns process
Cons
Expensive pricing
Limited "return reasons" options in the self-service portal
Sometimes clunky and difficult to navigate
Key Features
Easy to create custom returns workflows
Ready-to-use return center that automates the returns process, warranty process, and refund process
With Returnly, ecommerce store owners can create customized return portals designed to optimize the customer experience and make returns less of a hassle for your customers and support team alike. Along with an attractive and easy-to-use return portal, Returnly also offers a range of automation rules that enable you to control how and when returns get processed.
Finally, Returnly provides detailed analytics and returns data that you can leverage to optimize your returns process further. The result is a well-rounded returns solution that offers everything online store owners need to reduce the expense and hassle of managing returns.
Pros
Easy to offer store credit in exchange for returned items
Plenty of customization options
Instantly provides credits for returned items to improve customer retention
Cons
Only capable of integrating with one shipping carrier at a time
Doesn't provide the option to override automated emails
Isn't as easy to set up and use as other returns management software
Key Features
Tools for engaging customers at every point throughout the returns process
Automatically sends out tracking updates for exchanged items
As one of the more popular returns management solutions today, there's a lot to like about Loop Returns. With Loop Returns, store owners can create a branded return portal complete with automations that streamline the returns process, and feedback forms to generate valuable insights on why customers return their products.
The Loop Returns return portal also encourages exchanges, allowing your store to retain more revenue. Another key benefit of Loop Returns is that it enables customers to use a QR code to return their product rather than printing a shipping label (though Loop Returns does offer customers the option to print a shipping label as well).
LateShipment.com is a post-purchase experience platform designed to improve multiple aspects of a store's post-purchase process, including order tracking and returns management.
One of the best features of LateShipment.com is that it provides a litany of order fulfillment data points, including real-time tracking updates that can be sent automatically to customers via email or SMS. Regarding returns management, meanwhile, LateShipment.com offers a customizable return portal complete with real-time tracking and a wide range of rules and automations that you can use to customize and automate your returns process.
Finally, LateShipment.com promises to recover every dollar lost to carrier errors by automatically auditing shipping invoices and requesting refunds when an error occurs, helping your business save on shipping costs.
yayloh is a return management platform that automates and optimises the returns process for fast-growing direct-to-consumer brands, particularly those in the fashion and lifestyle market.
With customisable workflows, yayloh reduces the workload for customer service teams and provides customers with a fully-digital and branded self-service returns experience.
The platform stands out for its focus on return data. yayloh collects and analyses customer feedback in top-tier data dashboards and datasets to help merchants make data-driven product adjustments to reduce returns rates.
With yayloh's all-inclusive solution, brands of all sizes can scale their businesses, boost customer loyalty and reduce returns, all while ensuring a smooth and efficient post-purchase experience for customers.
Pros
Top-tier returns data dashboards and datasets (allow CVS export)
Auto-refunds based on different triggers
Tailored to support fashion and lifestyle brands at any stage of growth
In-depth “returns reasons” with newly introduced returns keyword tags
Cons
More established in Europe. They're actively working towards expanding our presence in the US/Asia.
Key Features
Advanced data and analytics features
Open APIs for integration with all e-commerce platforms and Shopify App
Supports well for international expansion — paperless trade
Unlike many solutions on this list, OrderHive is not designed specifically for returns management. However, OrderHive's excellent inventory management and ecommerce automation features can be incredibly valuable for optimizing your returns process.
For example, OrderHive's real-time tracking features make it easy to provide customers with tracking updates on product exchanges. At the same time, the platform's inventory management tools simplify the process of updating your inventory when returns are processed.
But the real value of OrderHive comes from its wide range of ecommerce automation features. These features enable you to automate an incredibly long list of routine tasks, including tasks associated with returns management — such as processing returns and updating inventory levels.
Pros
Affordable pricing with multiple plans to choose from
Streamlines and automates every aspect of order fulfillment and returns management
Enables you to set customized return policies
Cons
Sometimes prone to frustrating bugs and errors
Information from carriers often takes a while to update
Analytics and reporting features are somewhat limited
Key Features
Excellent inventory management solutions for handling returned products
Real-time tracking and rate comparisons for 200+ shipping carriers
The features offered by Return Rabbit might not be anything all that new or revolutionary, but Return Rabbit is very good at what it does nonetheless. With Return Rabbit, ecommerce store owners can:
Create branded return portals
Set up customized automation rules and return policies
Provide customers the option to return products via a QR code
Similar to other tools on this list, Return Rabbit encourages exchanges via customized product recommendations presented to customers in the return portal.
Pros
Wide range of automation rules that go well beyond the generic rules offered by many platforms
Designed to encourage customer feedback that can turn into valuable insights
Robust reporting and analytics provide complete visibility into your returns process
Cons
Only compatible with Shopify stores
More expensive than many comparable options
Customer support issues have been reported
Key Features
Provides customers the option to return their product via a QR code rather than print a shipping label
Instant exchanges and customizable product recommendations encourage exchanges over refunds
12Return is a returns management solution designed for both brick-and-mortar and ecommerce stores. For ecommerce stores, 12Return offers the ability to create both branded return portals and merchant dashboards designed to simplify the returns process for customer support agents.
12Return also provides customizable automation rules for authorizing returns and automating a wide range of returns management tasks.
Perhaps the most unique feature of 12Return is local returns processing, which enables customers to ship returned products to a local 12Returns hub for a faster and more efficient returns process.
Pros
Local shipping can reduce return shipping costs
Great customer support
Powerful yet easy-to-use merchant dashboard makes the returns process much more efficient for customer support agents
Cons
Somewhat tricky to set up and use
Pricing is only available upon request
Limited analytics and reporting
Key Features
Automated tracking event updates for returned products
Create on-demand digital labels
Utilize 12Return's local shipping hubs for faster and more affordable returns
9) ReverseLogix: 4.4 ⭐(11 reviews)
ReverseLogix is a platform that offers everything you could want from a returns management solution, along with a few unique features you probably won't find anywhere else.
ReverseLogix boasts standard returns management features such as:
Creating branded return portals
Generating on-demand shipping labels and QR codes for customers
Rules for automating your returns process
However, they also offer features such as configuring returns workflows based on priorities such as sustainability and cost-effectiveness, and a Repairs Management module for managing part replacements and warranty-based repairs.
Another nice feature of ReverseLogix is its detailed reporting, designed to provide insights into your returns process and the customer's experience with your products.
Pros
Excellent analytics and reporting
Lots of features in a single package
Great customer support
Cons
Somewhat prone to glitches and bugs
Long and complex integration process
Expensive compared to similar tools
Key Features
Returns workflows can be configured based on a variety of business priorities
Repairs Management module for managing part replacements and warranty-based repairs
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10) Ordoro: 4.7 ⭐(9 reviews)
Ordoro is a comprehensive order fulfillment platform that can manage orders and returns. With Ordoro, you can look forward to a long list of order fulfillment features, including:
Automation rules and shipping presets for automating your returns and order fulfillment processes
Automated shipping label generation
Detailed order fulfillment
Returns management
Inventory management reporting
UPC barcode support
Automatic PO generation based on inventory levels
If you are looking for an all-in-one solution to order fulfillment, inventory management, and returns management, then Ordoro is a great option to consider.
Pros
Broad range of features and capabilities under a single platform
Great customer support
Free Starter plan that lets you try out the platform's basic features
Cons
Somewhat difficult to navigate
Updates are few and far between
Occasional delays when syncing between shopping carts and Ordoro
Key Features
Automation rules for order fulfillment, returns management, and inventory management
Managing returns is one of the necessary evils of running an online store. With the right returns management software, you can greatly mitigate the expenses and hassles associated with returns management.
Integrating these solutions with a powerful customer support platform such as Gorgias makes them even more beneficial. The ability to integrate with a wide range of returns management solutions is just one of the features that make Gorgias the premier customer support solution for ecommerce stores.
With Gorgias, you can create automated customer support workflows to assist with returns management and other customer support tasks. Along with these powerful automation rules, Gorgias also offers live chat support, a centralized customer support dashboard, advanced customer support reporting and analytics, and so much more.
To see for yourself how our industry-leading customer support software can enhance your returns process and your ecommerce business as a whole, sign up for Gorgias today!
On Instagram, the most common types of engagement are likes and comments. For likes, you can’t do much about them, but you can take advantage of Instagram comments to drive more engagement, build relationships with followers, increase customer trust, and even boost conversions.
If your business has a strong presence on Instagram, you may receive a lot of comments from followers. That means you have a higher chance to turn comments into your advantage.
But sometimes, it’s easier said than done, right? With a flood of comments every day, you may struggle to respond and manage them effectively.
That’s why this post is for you. You’ll learn several Instagram comment ideas to interact with your followers and some useful tips to monitor comments without losing your mind.
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9 Instagram comment ideas and tips for ecommerce businesses
Respond to comments in a timely manner
Speak like a human being
Add a touch of humor to your comments
Use relevant emojis to make comments eye-catching
Say thank you
Apologize for customer support issues that come up
Ask for followers' emails if necessary
Don't delete or hide comments
Don't just comment on your own posts
Why You Should Care About Instagram Comments
The average post on Instagram receives 285.48 comments, taking into account posts of highly influential users. Mention found that 26% of Instagram users love to comment on or share personal Instagram Stories.
Why do people comment on others’ posts?
The reasons are many. For example, they want to ask a question, give feedback, share a personal perspective, add to discussions, or interact with a community. Sometimes, they feel so resonated with a story that they want to start a conversation.
Whatever the reasons, the Instagram comments section gives you a huge opportunity to communicate with your followers and discover potential customers.
Here are three main reasons why you should create an Instagram comment strategy:
Comments Reflect Engagement
Think this way: if you’ve uploaded a photo and received 20 comments within only five minutes, you probably have a lot of following on Instagram, or your content is very engaging, right?
The opposite is true as well. If you get a few comments whenever you publish a post despite having a huge following, your engagement rate may be low. In this case, you should probably rethink your Instagram comment strategy.
Responding to Comments Help Build Brand Trust
When a customer mentions you on Instagram, a lot of eyes are on you. How you handle that can tell a lot about your social media management and customer service. If you respond to it tactfully, it shows you care about your customers and take control of the situation.
Meanwhile, choosing to shy away and remain silent will lead to people bad-mouthing your brand. And as you might know, words can travel fast.
By providing great customer service through Instagram comments, you not only retain existing customers but also win new ones.
Instagram Comments Ideas and Tips
Below are Instagram comment ideas and tips you can apply right away. Note that there is no one-size-fits-all answer – every comment and every situation is different. Use the following as a reference to create the right strategy for your business.
1. Respond to Comments in a Timely Manner
When customers ask a question, they want an answer instantly. This is true, especially if the question is about product availability, price, or shipping issues.
Aim to respond to Instagram comments within 24 hours. This way, you can build trust with your followers and leave them a good impression of your business.
Look at all of Dannijo’s posts, and you can see they respond to comments within minutes, if not seconds. No wonder they have great engagement.
Using Instagram Quick Replies is a great way to do that. This cool feature allows you to create draft messages for commonly asked questions, like “what is the shipping cost?” or “can I return the item?”
Whenever you want to use those messages, just insert the “quick reply” instead of typing out the same message multiple times.
You can use Instagram Quick Replies on mobile devices (iPhone and Android). But this feature is only available for Instagram business accounts. So make sure you set up an Instagram business page beforehand.
2. Speak Like a Human Being
Like other social networks, Instagram is about two-way conversations. But we don’t join Instagram to talk with bots – we want to share, discuss, and speak with humans. We seek real, genuine connections.
That’s why brands must be human when interacting with followers on Instagram. Speak to them like you’re already in a relationship with them, as if you’re good friends. Avoid using a formal and distant tone.
3. Add a Touch of Humor to Your Comments
You should take customer queries and complaints seriously, but there are times when you can add a bit of humor to entertain a conversation. According to Hootsuite, “entertaining content is one of the top five reasons people follow particular brands or individuals online.”
Think about when you saw an animated GIF on Tumblr or a funny tweet. You couldn’t help but sharing it with your circle, right? That’s why adding a touch of humor to your Instagram comments can be helpful to connect with your audience instantly.
Make a good joke, and your followers will share it with their followers. Some of those followers will start following you to get more jokes, and your outreach will grow exponentially. More followers, more customers. It’s as simple as that.
4. Use Relevant Emojis to Make Comments Eye-catching
Emojis aren’t common in Instagram posts, but comments too. More and more brands are responding to their Instagram comments with emojis.
Emojis are friendly, fun, and engaging. They’re great for humanizing your brand and connect with followers quickly.
A worthy note is that before using emojis, ask yourself if it aligns with the tone of your brand. Make sure you understand the meanings of different emojis so you can use them the right way.
It’s also important to understand whose comment you’re responding to. Just because you see other followers using emojis doesn’t mean everyone is okay with them. Learn more about your target audience to create an emoji marketing strategy that makes sense for your business.
5. Say Thank-you
A thank-you comment is necessary when someone gives you a compliment or mentions you on Instagram. Something as simple as “Thank you” or “Thanks” or “Glad you like this one” is more than fine. If they called out specifics in their comments, try to respond with a similar level of personalization. Show them your appreciation.
Another tip is when saying thanks to your followers, try to expand the conversation. If a follower said they were happy with your order, you could ask them why they liked it. Let them know you’re available to support them whenever they need help.
6. Say Sorry for Customer Service Issues
If a customer reaches out to your Instagram with a question or a customer service issue, you must respond to them. You should provide that support.
Keep calm, say sorry, and show your responsibility for the issue
Answer their questions accurately and promptly
Be specific and helpful about your solution
Don’t overpromise unless you’re 100% sure that you can give them what they want
Come bearing gifts or discounts if necessary
7. Ask for Followers’ Emails If Necessary
If a follower’s question is complicated and requires a wordy answer or needs more time to fix, you ask for their email address in the comments and send the full response through email.
It’s an opportunity for you to impress your follower with the high level of customer service you provide. Ensure you let the follower know you’ll contact them via their email.
8. Don’t Delete or Hide Comments
A lot of people will tell you to ignore or delete negative comments on your Instagram posts. But wait… rethink before you do that.
Of course, dealing with difficult customers is never easy, and it only gets more challenging when both of you don’t understand each other or the customers expect more than what you can offer.
Despite that, it isn’t a smart move to delete comments. Why? Because the difficult customers might do the following:
Stop buying from you and spread bad words about your business
Continue speaking negatively about your brand across social media channels
Continue commenting negatively on your posts until you block them or remove them from your community
With all that being said, it’s obvious that you should come up with a strategy to handle negative comments, instead of just deleting them.
A good tactic is to reply to those comments or direct message commenters with an apology. Then, ask for more information about why they made that statement. Explain you need this information to figure out the best solution for them.
If the person continues to be an issue after you’ve attempted to resolve the matter, try to move the conversation to a private space (like an email) or block them when necessary.
It seems a lot of work, but keep practicing that. It’ll help improve your brand’s online presence and make people remember your excellent customer service.
9. Don’t Just Comment on Your Own Posts
If you just start using Instagram for your business, commenting on other posts is a good idea. Doing that will help you identify your target audience, understand what they need, expand your brand awareness, and drive engagement to your Instagram profile.
You can comment on your followers’ posts, influencers’, or the posts of brands that are relevant to your niche.
If you’re struggling with identifying who you should start interacting with, look at your recent collaboration or co-marketing projects. Then, start engaging with them.
How to Manage Instagram Comments Effectively
Have you ever glanced at your (hundreds of) Instagram notifications and feel tired of replying to your followers’ comments? You see many comments on some much older posts and don’t know which one to start with. AGRH. You get lost.
If you’re in this situation, the first thing you should do is set a specific time to handle Instagram comments. Give yourself windows of time when you’re pleased to respond to those messages. Doing that can help you remove distractions, maintain concentration, and increase productivity.
The second tactic is to use an all-in-one customer service tool like Gorgias.
Think this way: Your customers aren’t on Instagram only. They may also follow your business on Twitter and Facebook. Some of them may prefer connecting with you via email, SMS, or phone call. Others might often visit your website and find it convenient to chat with you via chat box.
Gorgias also helps streamline your team collaboration. When someone comments on your Instagram, a corresponding ticket is automatically created. You can solve the ticket right away using macros, change its status, or assign it to another agent. Everything will be done inside Gorgias without you logging into your Instagram app.
Don’t Ignore Instagram Comments
Take the time to go through Instagram comments and address them. Show your followers that you care about them, appreciate their engagement, and strive to maintain relationships with them. The more you do that, the more your followers want to stick with you and support your business.
Interested in using Gorgias to monitor Instagram comments and customer inquiries on other channels? Sign up for a Gorgias account today and discover all the premium features our ecommerce ticket management help desk offers.
Running an effective and growth-focused ecommerce store requires getting the right tech infrastructure in place, including selecting an ecommerce payment processor.
With a strong ecommerce payment processor, platform, or service provider, you’ll rarely — if ever — have to think about what’s going on with the back end of your sales transactions. Instead, you can stay focused on managing orders, improving customer experience, and growing your ecommerce business.
If you poke around the internet, you’ll find a range of companies offering secure payment processing to ecommerce businesses. Many bundle this service with other tools, and each has its own flavor and fee structure.
In this guide, we’ll show you what you need to know about how ecommerce payment processing works. Plus, we’ll give you our take on eight of the top ecommerce payment processing tools being used by businesses like yours.
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What is ecommerce payment processing?
Ecommerce payment processing is everything that happens once an online store accepts payment from a customer. This includes authorizing the online transaction, securely transmitting credit card information, and ensuring the ecommerce merchant receives the funds. This process includes both a payment gateway and a payment processor.
3 essential components of ecommerce payment processing
While most people can (and do) enjoy ecommerce without thinking about what’s going on behind the scenes, it’s helpful as a business owner to have a sense of what goes into ecommerce payment processing.
We can break down ecommerce payment processing into three essential components, which provide a basic framework for understanding what goes on when a customer makes an ecommerce purchase.
1) Payment gateways: Verify payment method
The payment gateway is the mechanism that connects your ecommerce website to the online payment processor. It’s a courier of sorts, safely and securely ferrying ecommerce payment information from your website over to the secure payment processor.
Payment gateways look different to the customer depending on how yours is set up. On Shopify or BigCommerce, for example, customers interact with the gateway right from a special input field on your website.
Other payment processors, like PayPal or Stripe, might take your customer to a new page where they input their credit card information.
In any case, the gateway also performs the crucial task of authorizing payments to ensure you receive payment on your end.
It’s also possible to host the transaction yourself on your own server, but it’s a far more complex solution that requires specialized technical expertise. A payment gateway removes the need to have to build out this kind of functionality on your own.
The payment processor is the entity that receives payment information from the payment gateway and then does the technical work with that information.
Your payment processor will verify that a payer has the necessary funds to pay for what they’ve ordered. Then, it will securely execute the transaction, taking funds from the customer at the issuing bank and depositing those funds into your merchant bank account.
This might sound similar to a payment gateway, but they’re performing different tasks and both are required to process payments.
Think of the gateway as a messenger taking information, ensuring it's correct, and delivering it to the processor, who then acts as IT to make sure money goes where it needs to be.
In some cases, the same provider is both the gateway and the processor, but you might also use a different service for each part of the transaction.
3) Merchant accounts: Receive funds
Your merchant account is essentially the business bank account you’ve set up to receive funds for ecommerce payments.
You can also send payments from a bank account, and you may use this one that way, too — but for the purposes of discussing ecommerce payment processing, we’re looking at the merchant account as a place that receives funds.
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How does ecommerce payment processing work?
We’ve covered the three main components of ecommerce payment processing, so now we’re ready to walk through everything that happens during a standard transaction. Here’s a step-by-step overview.
1) Open payment gateway after the customer enters their payment information
The process starts when a customer finishes adding items to their shopping cart, begins the checkout process, and enters and submits online payment information. Usually this is credit card or debit card information, though your site may support other forms of payment, from Google and Apple Pay to gift cards to other currencies and even cryptocurrency.
When the customer enters and submits payment information, your ecommerce site or platform opens a payment gateway.
2) Encrypted payment details are sent to the processor
With a secure payment gateway opened, now the online payment information is sent — fully secure and encrypted — to the payment processor. Your chosen payment gateway (or the one chosen by your payment service provider) handles the technical work here, so you don’t have to.
3) Payments are either authorized or rejected
When the payment processor receives the encrypted payment information, the processor checks to see if the information is valid (in other words, whether the customer has funds or credit to back up the transaction, along with whether the information is correct and intact with no mistakes).
If the information is valid, the processor authorizes the transaction. If there’s a problem with the information (ranging from a typo to missing funds or even fraud concerns), the processor denies or rejects the online payment.
4) Payment processor informs the gateway of authorization or refusal
Next, the payment processor lets the payment gateway know whether the transaction has been authorized or refused. Then, the gateway reports back to your site or platform, and the user can see the results there.
5) Payment processor credits the merchant account
If the online payment is authorized, the payment processor credits the merchant account with funds for the transaction. At this point, the ecommerce payment process is complete:
The merchant has received funds from the customer (or, more specifically, from the customer’s creditor).
The customer (or creditor) is charged for the purchase and should soon see a pending charge on a credit or debit statement.
The merchant is ready to proceed to order fulfillment and shipping.
This entire five-step process (along with any subtasks or exceptions encountered along the way) happens typically in just a few seconds. The process — when it works properly — is nearly invisible, both to the customer and to your ecommerce business. You get to focus on growing your business and fulfilling those orders, and your customers enjoy a seamless ecommerce experience.
Factors to consider when choosing an ecommerce payment processing solution
The credit card processing solution you choose has a big impact on your ecommerce store. Part of that is about trust and security — do customers feel safe giving you their credit card number?
It also impacts the customer experience in what types of payments are accepted and if information can be saved for future purchases. And for you, fee pricing will impact your revenue.
Here are the questions you should ask when choosing an ecommerce payment processing solution.
Is the processor compatible with my ecommerce platform?
Whatever payment processor you choose needs to work with your chosen ecommerce partner, whether that’s Shopify, BigCommerce, or another competitor.
Those big providers have many processor options, but smaller ecommerce platforms may have a more limited variety that integrate with their service.
Is the processor secure?
This factor has two components. First, you need to know as the ecommerce merchant that your processor has measures in place for fraud protection and denies suspect transactions. It should also provide encryption for all data.
Second, customers should feel safe and secure, too. They expect a seamless experience with a gateway that blends seamlessly into your site, including your branding. Being sent to another website or an out-of-date interface can make customers feel uneasy.
The PCI is the gold standard for credit card transactions and has 12 key requirements for processors, including encryption and other protections, to protect against fraud and theft. Meeting these requirements is mandated by credit card companies.
What types of payment does it accept?
Customers want options when it comes time to pay. It’s standard to accept major credit cards like Visa and Mastercard, but also consider a processor that allows less-accepted credit cards like American Express.
As well, there are newer online payment forms to be considered such as buy-now-pay-later providers like Klarna and Afterpay, or mobile payment options like Apple Pay, or even cryptocurrency like from Bitcoin wallets.
Does it create tokens?
Tokenization a way of securing online payment information. When a customer pays, a token is created that identities their unique information, protecting it from data theft.
The benefit here is also that tokens allow for customer information to be securely saved for a faster checkout the next time they place an order. Faster checkout is always a win and tokenization helps achieve that.
What kind of fees will you pay?
All processors will come with transaction fees, but how that pricing is structured can vary.
Typically, you’ll pay a flat fee plus a percentage for each transaction, though others may charge a flat monthly rate instead. Your ecommerce platform may also have lower, pre-negotiated transaction fees with various payment providers.
You also need to look at what transaction fees you might be hit with for disputed purchases, chargebacks, or credit card payments from different countries with different currencies. You’ll want to compare different providers to find a fee structure that makes the most sense for your ecommerce business.
Best ecommerce online payment solutions (with pros & cons)
The ecommerce payment solutions market is a busy one, with dozens of solutions available to most ecommerce businesses. They range from simple, limited payment systems built into an ecommerce platform (see all the limits on Shopify Payments, for example) to wide-ranging systems with more features (and, perhaps, costs) than make sense for your business right now.
We’ve rounded up eight of the best payment solutions available right now. Below we’ll show you the basics of each ecommerce payment processor or online payment service provider, along with pros and cons for each one.
We’re giving you unbiased, real opinions here: Gorgias works equally well with the big three ecommerce platforms (see how we work with Shopify, Magento, and BigCommerce), and our helpdesk and customer support system can work with just about any payment processor as a result.
PayPal
PayPal is a household name and one of the earliest successful payment processors, dating all the way back to 1998. Originally a brainchild of eBay, PayPal now exists independently, with its own considerable network of subsidiaries and targeted products.
As one of the first and most popular solutions, PayPal has an impressively wide global footprint and is widely adopted as an online payment platform for ecommerce businesses of all types and sizes.
There can be some confusion surrounding PayPal because the platform is both an ecommerce payment processor (where customers can pay using a variety of online payment methods, including their PayPal balance) and a personal payments platform where customers store or send money.
This doesn’t damage the brand as a payments processor, but it can create customer confusion (for example, prominent PayPal branding could lead users to think they must pay with PayPal when that isn’t the case).
Pros
Widely scalable, from small business to enterprise
Supported by most other tools/solutions
No monthly fees for lower tiers
Cons
Known to erroneously freeze assets, temporarily crippling affected small ecommerce businesses in the process
Inconsistent features based on geography
Checkout Champ
Checkout Champ is an ecommerce platform that works with Shopify, BigCommerce, WooCommerce, and more. Checkout Champ promises to boost conversion rates by 20% or more, boost average ticket value through one-click upsells, etc. It offers free initial setup and migration from your existing solution and includes a powerful internal ecommerce CRM.
Checkout Champ shines especially well for businesses that sell recurring or subscription-based solutions, and it boasts faster page-load speeds (which matters if 53% of shoppers abandon a slow cart).
Pros
Impressive, wide-ranging feature set includes many marketing- and sales-friendly features
Promises no or lower fees compared to competing products (but see the hefty monthly subscription below)
Best for established companies looking for aggressive sales growth
Cons
Aggressive pricing ($300 per month + 1%) may lock out smaller businesses and early-stage startups
Businesses like Stripe as a payment processing solution because its API gives them ultimate customization and flexibility for accepting credit card payments, setting transaction fees and processing fees, and just about everything else related to payment processing services. It’s also PCI-compliant and works well internationally.
Of course, not every ecommerce business wants endless customization. If you’re looking for a turnkey solution, Stripe might not be the best payment processor choice.
Pros
API availability gives larger and more tech-forward ecommerce stores the ability to customize Stripe’s functionality
Accepts payments in nearly all currencies (and allows for payment in Bitcoin)
Cons
Unnecessarily complex according to some Stripe users
Nickel-and-dime pricing structure
Funds availability can be slower than other services (depending on setup and location)
Square
Square first made a name for itself with its headphone jack (and, later, Lightning port) credit card readers, which it delivered to small businesses and startups for free or deeply discounted. Others (including PayPal) have since copied that business model, but Square retains a strong market share, especially among small brick-and-mortar retailers and restaurants.
Because the company has a point of sale foothold as well, Square is uniquely situated to support both in-person and online payment. The platform also contains payroll and time management tools, online invoicing, and other operations-specific tools.
Pros
Great solution for small businesses that need POS, ecommerce payment processing, and other operational tools
Original use case (turning your phone into a POS terminal) remains invaluable to mobile businesses
Cons
Clearly built for smaller operations, and outgrowing the platform is a real possibility
Basic functionality is fee-free, but per-transaction costs can add up quickly
BlueSnap
BlueSnap is another globally-focused payment processing solution that charges per-transaction fees but not monthly fees or setup fees. BlueSnap boasts support for several prominent Chinese brands and services, including AliPay and China Union Pay.
One of the big selling points of BlueSnap is the ability to receive online payment in over 100 currencies and pay out in 16 currencies. Businesses with a significant international customer base will benefit from this. It supports virtual terminals, has a payment API, and can handle invoicing and other merchant services.
Pros
No recurring or setup fees
Reduces backend complexity
Sandbox mode for testing new implementations
Cons
Pushes quote-based pricing heavily (Note: This isn’t bad if it results in savings, but we dislike the lack of price transparency)
While it might sound like a feature reserved for Amazon sellers, Amazon Pay is a much more broadly available product. Online ecommerce sellers can add Amazon Pay as a payment service provider and essentially outsource the checkout and payments process to Amazon. Companies like EyeBuyDirect, Belkin, and even Samsung offer Amazon Pay.
Existing Amazon customers will love that they don’t have to give you new shipping and credit card information, and you’ll greatly reduce friction at checkout — potentially reducing cart abandonments (recently clocked as high as 81.08% in one survey) and increasing conversion.
Pros
Leverage the trust that people have in Amazon as a payments platform
Users are at the mercy of Amazon in terms of data sharing, feature changes, etc.
Klarna
Klarna is a buy now, pay later (BNPL) solution that lets you offer financing options to customers without taking on any financing liability. If you sell higher-ticket items and want to expand your payment methods beyond the conventional, Klarna could be a valuable add-on product.
However, be aware that it isn’t a standalone payment processor. You’ll need another solution that supports Klarna (such as PayPal) if you want to implement Klarna’s real-time BNPL solution in your online store.
Pros
Lets you offer financing without taking on additional risk
Expands your reach as an online business, allowing you to reach customers that might not otherwise be able to afford your products
Similar to Klarna, Sezzle is a bolt-on product in the buy now, pay later space. With Sezzle, your customers can split purchases into four payments spread over six weeks. The payments are interest free — as long as customers pay on time.
Financing services like this aren’t the right choice or look for every brand. But if you’re looking to add financing options to your ecommerce presence and don’t want to take on risk or liability, Sezzle is worth considering.
Pros
Offer financing without incurring risk
Reach customers with your products that may have previously been priced out of your market
Cons
Not a full-service or standalone ecommerce product
May not offer the image you’re aiming for as a brand
How your ecommerce payment processor impacts the customer experience
Payment processing isn’t just a backend concern for ecommerce business owners — it also deeply impacts the customer experience.
Retailers like Amazon have made one-click checkout the expected standard, with credit card information saved and ready to go. According to Salecycle, 26% of customers will abandon a cart due to a long or complex checkout and your payment process is a huge part of that.
Ecommerce platforms have made it easier than ever to provide a faster payment experience. Jewelry brand Jaxxon, for example, uses Shopify and is able to provide one-click checkout through ShopPay, Amazon Pay, PayPal, and GooglePay, as well as a traditional option to enter credit card information.
The customer sees these options as soon as they go to checkout:
Think of your payment processor not just as a barrier to getting money into your merchant account, but as a way to a barrier to conversion that will impact your revenue.