TL;DR
At Gorgias, we work with over 16,000 ecommerce brands and one common challenge emerges over and over:
Ecommerce tools are essential, but too many tools becomes a burden.
With different teams responsible for different functions, brands risk creating a disconnected tech stack that causes inefficiencies, reduces productivity, and ultimately impacts profitability.
Ecommerce teams are shuffling between tabs, copying and pasting order numbers, searching for customer data, and trying to piece it all together. It’s not only inefficient—it’s expensive, frustrating, and unsustainable as you scale.
So we dug into that data.
Our 2025 Ecommerce Trends Report surveyed ecommerce professionals across industries and job roles to understand what they really think about tech stacks and AI’s role in it.
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There is now an ecommerce app for every possible use case a brand could need. But as businesses adopt new technologies for each part of their customer journey, their teams end up working out of dozens of platforms.
The study found that 42.28% of ecommerce pros use at least six apps daily to perform their role. Regardless of the number of apps used, integration and compatibility are a must. When technologies don’t talk to each other, you spend time context-switching instead of focusing on customer experience.
For Audien Hearing, Gorgias’s open API allowed them to create an integration with its warehouse software to manage returns directly in Gorgias rather than a shared Google spreadsheet. This integration helped them reduce returns by 5%, protecting their margins and leading to higher customer satisfaction.
Read more: How Audien Hearing Increased Efficiency for 75 Agents and Reduced Product Returns by 5%
The most successful ecommerce brands aren’t necessarily using more tools—they’re using smarter tools. Leading businesses are opting for platforms that are deeply integrated, AI-compatible, and built specifically for ecommerce needs.
A growing tech stack also comes with a growing tech budget. Each new app has new costs, including subscriptions, set-up, management, and development fees. They quickly add up.
Nearly 40% of ecommerce professionals spend $5,000 to $50,000 annually on their tech stack.
We asked ecommerce professionals what they actually value in their tools. Unsurprisingly, the answer changed based on who we were talking to.
Top tool benefits included:
There’s a clear difference between what ecommerce leaders and agents value in a tool and considering both is key to success.
Despite the benefits of using fewer, well-integrated tools, there are a few things that hold brands back from consolidating their tech stacks.
We asked respondents:
What, if any, are the biggest deterrents to consolidating your tech stack?
Top concerns are:
AI is dominating the world of ecommerce. It impacts every aspect of the customer journey, from brand discovery to the post-purchase experience. AI is actively reshaping the way ecommerce professionals work, so we wanted to know how they feel about it.
Despite growing usage and excitement, teams still have their concerns with AI:
Read more: 8 AI Trends in Ecommerce: What’s Changing and How to Prepare
The most impactful use cases we’ve seen aren’t just about reducing support ticket volume. AI is now driving revenue, increasing conversion rates, and enabling 24/7 coverage without expanding headcount.
Gorgias’s AI Agent is now capable of virtual sales assistance through personalized product recommendations, dynamic discounts to reduce cart abandonment, and cross-sells and upsells.
Top brands are already leveraging these new capabilities and seeing results. For example:
We asked one final question to make ecommerce folks really reflect on how they work:
How many tabs do you currently have open?
The average ecommerce professional works with 22 open tabs. We’re not here to judge, but if you’re looking to close a few of those tabs, Gorgias might be what you’re missing.
Gorgias replaces all that complexity with a single workspace. From support to sales, order management to automation, it all happens inside one platform.
Ecommerce businesses can now leverage Gorgias’s Advanced AI for both support and sales. Within the same AI Agent, ecommerce brands can
This blog just skims the surface of what we uncover in our 2025 Ecommerce Trends report.
Want the full story?
Download the complete 2025 Ecommerce Trends: AI Adoption & Smarter Tech Stacks report to access:
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TL;DR:
When customer service teams are at their busiest, they need a helpdesk that keeps up. That’s exactly why our Site Reliability Engineering (SRE) team has been working behind the scenes to make the Gorgias platform faster than ever.
Over the past year, we've made remarkable improvements to our platform to eliminate bottlenecks, speed up data retrieval, and reduce incidents. For you, this means fewer disruptions, faster load times, and a more reliable helpdesk experience.
Here's how we did it.
Our platform relied on a single, shared database connection pool to manage all queries. Think of it as having just one pipe handling all the water flowing through your house — when too much water rushes in at once, the whole system backs up.
In practice, this meant a single surge in database requests could clog the entire system. When lower-priority background tasks got stuck, they could prevent high-priority operations (like loading tickets or running automations) from working properly. This would cause the entire helpdesk to slow down or, worse, become completely unresponsive.
Using PgBouncer, a tool that manages database connections and reduces the load on a server, we implemented multiple connection pools. Instead of relying on a single pipeline to stream all requests, we created separate "pipes" for different requests.
Like how road traffic picks up again after an exit, routing our database traffic into separate connection pools makes sure high-priority customer interactions don’t lag behind automated background tasks.
This solution is future-proof. In the event that a lower-priority task is delayed in one connection pool, other functionalities of the helpdesk will continue working because of the remaining connection pools.
The results speak for themselves:
We've eliminated incidents caused by connection pool issues in the helpdesk completely. This reduced major helpdesk outage incidents by around four per year and maintained an average uptime of over 99.99%.
As Gorgias grew to over 15,000 customers, so did the volume of data. We’re talking data from tickets, integrations, automations, and many more. The combination of more users and data meant slower searches within the helpdesk.
However, the amount of data was not the problem — it was how our data was organized.
Imagine this: An enormous storage room full of file cabinets containing every piece of data. Sure, those file cabinets kept data organized, but you would still need to spend time searching through the entire room, running up and down aisles of cabinets, to find your desired file. This method was cumbersome.
We needed a more efficient way to keep our data easy to find, especially as more customers used our platform.
The answer was database partitioning — breaking our large datasets into smaller, more manageable segments. Using Debezium, Kafka, and Kafka-connect JDBC, all managed by Terraform, we migrated over 40TB of data, including 3.5 billion tickets, without a moment of downtime for our merchants.
Instead of a giant room with thousands of file cabinets, we divided that giant room into 128 smaller rooms. So now, instead of looking for a file in one room, you know you just need to go into room number 102, which has a much smaller area to search.
This approach allows our system to quickly pinpoint the location of data, significantly reducing the time it takes to find and deliver information to users.
Additionally, database maintenance has become more efficient. Some of the partitions can probably sit without needing to be changed at all. We just have to maintain the partitions that are getting new files, which cuts down on maintenance time.
Better database partitioning provides several benefits:
When incidents occurred in the past, our response process was inconsistent, leading to delays in resolution. It was sometimes unclear who should take the lead, what immediate actions were required, and how to effectively communicate with affected customers.
Additionally, post-incident reviews varied in quality, making it difficult to prevent similar issues from happening again. We needed a standardized framework to address incidents in a timely fashion.
To streamline incident management, we introduced a replicable, automated process:
With our improved incident management process:
With more brands catching on to how essential a solid CX platform is, our team's got our work cut out for us. Here's what's on the way:
Gorgias will inevitably face new challenges in performance — no system is completely immune to downtime.
But we've built our architecture with the future in mind, and it’s more resilient than ever as more and more brands realize the power of conversational AI CX platforms.
The result? A platform you can count on to help you deliver exceptional customer service, without technical issues getting in the way.
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TL;DR:
AI is no longer a futuristic concept associated with sci-fi movies and robots. It’s driving real change in ecommerce right now. Currently, 84% of ecommerce businesses list AI as their top priority. And it’s only getting bigger. By 2034, the ecommerce AI market is expected to hit $62.64 billion.
Brands that use AI to improve personalization, automate customer support, and refine pricing strategies will have a major competitive edge.
The good news? Most brands are still figuring it out, which means there’s huge potential for early adopters to stand out.
Let’s dive into the key AI trends shaping ecommerce in 2025, and how you can use them to future-proof your business.
Instead of searching for keywords, shoppers can upload a photo and instantly find similar or matching products. Visual search eliminates the guesswork of finding the right words to describe an item and reduces friction in the search process.
In 2025, improvements in computer vision and machine learning will make visual search faster. AI will better recognize patterns, colors, and textures, delivering more precise results in real-time.
For customers, visual search simplifies product discovery while brands benefit from increased average order values. Visual search creates more opportunities to surface related products that customers might miss during manual searches, ultimately boosting conversion and revenue.
Pinterest is already doing it. With Pinterest Lens, users can take a picture on the spot to find similar products or ideas to help them with easier purchases or creative projects.
Pro Tip: Optimize product images and metadata (like color, size, and material) so your products appear accurately in visual search results. Clean, high-quality images and detailed tagging will make your catalog easier for AI to process and match.
Conversational AI, like Gorgias’s AI Agent, already handles 60% of customer conversations. Brands that adopt it often see more than a 25% improvement in customer satisfaction, revenue, or cost reduction.
Soon, advanced natural language processing (NLP) will make it easier for customers to use text, voice, and images to find exactly what they’re looking for. These multimodal capabilities will elevate support conversations, resulting in fewer abandoned carts and support teams that can focus on more complex issues.
For example, Glamnetic uses AI Agent to manage customer inquiries across multiple channels, resolving 40% of requests automatically while maintaining a personalized touch. Their AI can automate responses to common questions, recommend products based on browsing history, and even track orders in real-time.
Pro Tip: Invest in AI chat tools that integrate with your customer support system and sync with real-time product and order data. Your responses will be accurate and timely, without losing the personal touch.
Read more: The Gorgias & Shopify integration: 8 features your support team will love
According to McKinsey, omnichannel personalization strategies, including tailored product recommendations, have a 10-15% uplift potential in revenue and retention. But with only 1 in 10 retailers fully implementing personalization across channels, there’s a massive opportunity for brands to innovate.
In 2025, AI-driven product recommendations will become even more precise by analyzing customer behavior, preferences, and purchase history in real-time. Predictive AI will adjust recommendations on the fly, showing customers the right products at the right moment.
Take Kreyol Essence as an example. They use Gorgias Convert to track customer behavior and recommend products based on past purchases and browsing patterns. When a customer buys a hair mask, AI suggests complementary products like scalp oil or leave-in conditioner — increasing average order value without feeling pushy.
Personalization boosts sales by helping customers discover products they actually want. Plus, it creates a more tailored shopping experience, which encourages customers to return.
Pro Tip: Test different recommendation strategies, like “frequently bought together” or “you may also like,” to see which ones drive the most conversions.
Learn more: Reduce Customer Effort with AI: A Smarter Approach Than Surprise and Delight
In 2025, more customers may use smart speakers and voice assistants like Alexa and Google Assistant to shop hands-free. AI will improve voice recognition and contextual understanding, so it’s easier for customers to find products they want.
Instead of fumbling with a keyboard, customers will be able to say, “Order more coffee pods,” and AI will not only recognize the request but also pull up the preferred brand and size based on past orders. Less friction will make the buying process more intuitive, especially for repeat purchases.
Voice commerce expands shopping accessibility and creates a more convenient experience for busy customers. It also opens the door for brands to surface product recommendations and upsell during the conversation.
Pro Tip: Optimize product descriptions and catalog structure for voice search. Clear, simple language and detailed product tags will help AI understand and surface the right products.
A recent McKinsey report suggests that investing in real-time customer analytics will continue to be key to adjusting pricing and more effectively targeting customers.
In 2025, machine learning will allow ecommerce brands to adjust product prices instantly based on demand, competitor pricing, and customer behavior. If a competitor drops their price on a popular item, AI can respond immediately, so you stay competitive without sacrificing margins.
Machine learning will also refine pricing models over time, finding the sweet spot between profitability and customer conversion.
For example, AI might detect that customers are more likely to buy a product when it’s priced at $29.99 rather than $30, and adjust accordingly. More competitive pricing means higher revenue and better margins, but it also increases customer trust when prices are consistent with market trends.
Pro Tip: Test different pricing strategies and monitor how they affect sales and customer behavior.
According to McKinsey, AI-driven personalization and customer insights can improve marketing efficiency by 10-30% and cut costs significantly.
In 2025, AI will analyze customer data like purchase history, browsing patterns, and feedback to generate smarter, more actionable next steps. Instead of guessing what customers want, brands will have the data to predict it.
For example, Gorgias’s AI Agent for Sales can identify a shopper’s interest level and purchase intent and then use it to adjust its conversational strategy. It analyzes shopper data like browsing behavior, cart activity, and purchase history.
Here’s how it would behave for different customers:
AI-driven personalization leads to a 5-10% higher customer satisfaction and engagement. Yet, only 15% have fully implemented it across all channels — leaving a huge gap to fill.
In 2025, AI-driven personalization will go beyond product recommendations. Brands will be able to adjust website layouts based on customer preferences, highlight products that align with their style, and even customize customer service interactions.
A higher level of personalization will boost conversion rates and customer satisfaction. When customers feel like a brand “gets” them, they’re more likely to make a purchase and come back for more.
For example, AI Agent for Sales can adjust discounts and provide smart incentives to drive sales. When adjusting for discounts, AI Agent analyzes shopper behavior, including browsing activity, cart status, and conversation context, to offer a discount based on how engaged and ready the shopper is to buy.
Pro Tip: Use AI to test different personalization strategies and refine them based on performance data. Small adjustments, like changing product order or highlighting specific categories, can have a big impact on sales.
Keeping the right products in stock at the right time is about to get a whole lot easier. In 2025, AI will predict demand patterns and automate restocking decisions based on sales trends, seasonality, and customer behavior. Instead of manually tracking inventory, AI will handle it in real time to avoid stock issues.
For example, AI could notice a spike in orders for a specific product right before the holidays. It could then automatically increase stock levels to meet demand or scale back on items that aren’t moving as fast. Real-time tracking means fewer missed sales and less wasted inventory.
Efficient inventory management not only cuts costs but also improves the customer experience. When products are consistently available, customers are more likely to trust and stick with your brand.
Pro Tip: Implement AI-powered inventory management to sync data across all sales channels. This ensures accurate stock levels and seamless fulfillment, whether customers are shopping online or in-store.
AI makes it easier for brands to deliver a personalized and efficient shopping experience. From helping customers find products faster with visual search to automating support with conversational AI, there are plenty of opportunities for personalization.
The brands that adopt and refine these strategies now will be better positioned to meet customer expectations and stay ahead of the competition. Start by implementing conversational AI and later test some other AI trends like personalized suggestions.
Ready to see how AI can upgrade your brand? Book a demo to see AI Agent in action.
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TL;DR:
Chargebacks are more than a thorn in a merchant’s side — they’re a growing financial and operational threat. According to Ethoca, chargebacks are projected to more than double, from $7.2 billion in 2019 to $15.3 billion by 2026 in the U.S. alone. And while fraud plays a role, the primary reason customers file chargebacks is simpler: they feel ignored.
At Chargeflow, we recently published a comprehensive report analyzing why customers dispute chargebacks. The findings were eye-opening. While it’s true that fraud is a real concern, most chargebacks happen for a different reason: a lack of communication between merchants and customers.
Top stats from Chargeflow’s report:
When customers feel ignored or frustrated, they often turn to their bank for a solution instead of reaching out to the merchant first. Understanding these behaviors is key to preventing disputes before they escalate and cause chaos.
So, what actually drives customers to dispute charges? Here’s what the data says.
While chargebacks are often the cost of doing business, the truth is that many disputes are preventable — but only if merchants understand the root causes. We identified five key drivers behind chargebacks.
According to our research, most customers file a dispute right away after encountering an issue, leaving no opportunity to resolve the problem. Another 38% file within one to three days if they don’t receive a timely response.
Why? Customers assume the fastest way to get their money back is by filing a chargeback, especially if they receive no response from the merchant.
We found that 80% of customers never receive a follow-up after filing a chargeback. Additionally, 64% of customers state immediate communication is crucial, yet many businesses fail to reach out.
Why? Customers expect businesses to be proactive. When they don’t hear back quickly, they assume the merchant won’t help, making a chargeback seem like the best option.
98% of customers report a neutral to highly satisfactory experience when filing chargebacks, and only 12% are denied.
Why? Many customers believe chargebacks are faster and easier than dealing with merchants directly, especially if return policies are unclear.
The most common reason for filing a chargeback is “product not received” (35% of the cases). Other common reasons included:
Why? When customers don’t receive clear shipping updates or experience delivery delays, they assume their order won’t arrive and file a chargeback rather than waiting.
Friendly fraud occurs when a cardholder makes a legitimate purchase but later disputes the charge as fraudulent or unauthorized, leading their card issuer to reverse the payment.
Our research found that:
According to our State of Chargebacks report, 79% of chargebacks are actually friendly fraud, meaning they were filed for invalid reasons.
Why? Many customers mistakenly believe that a chargeback is just another way to request a refund, rather than a process intended for fraud or merchant failure.
📌 The takeaway: Most chargebacks aren’t actual fraud, but rather a result of customer confusion, impatience, or poor communication from merchants.
Merchants who want to stop chargebacks before they happen need a two-part strategy:
Chargebacks result from slow response times, poor communication, and unresolved issues, not fraud. Adopting AI-driven customer support and chargeback automation allows businesses to significantly reduce disputes and retain more revenue.
Many chargebacks happen because customers don’t receive a fast enough response. In fact, 52% say they will dispute a charge if the response time is too slow. AI-powered chatbots provide real-time support, resolving issues before they escalate.
Customers expect updates regarding orders and refunds, but often don’t receive them. 80% of customers report never hearing from a merchant after filing a chargeback.
Automated order updates, refund confirmations, and proactive notifications keep customers informed, reducing unnecessary disputes.
Customers expect round-the-clock support, but most businesses can’t provide live assistance. AI-powered ticketing and automation ensure every customer receives help, regardless of the time zone or urgency.
The result? Fewer chargebacks, faster resolutions, and increased customer satisfaction.
It’s impossible to please every customer. On average, chargebacks take 50 days to resolve successfully. Focus your energy on retaining high-value, long-term customers.
Lost inquiries take on average 15 days to resolve, and lost chargebacks take 38 days. Prioritize cases based on impact.
Advanced automated ticketing systems can route inquiries and prioritize urgent cases.
Ensure customer service teams have quick-response templates to speed their resolutions.
“Product not received” was the most cited reason for delivery-related chargebacks. Work closely with carriers and third-party suppliers to improve fulfillment and reduce disputes.
Use automated tools for real-time analytics, enhanced communication, and proactive alerts, which will reduce response times.
Successfully tackling chargebacks requires both proactive customer support and automated dispute management. That’s why Gorgias and Chargeflow work so well together to give merchants a comprehensive defense against disputes.
Post-purchase automation isn’t just about reducing customer support workload or quick replies. It's about finding the most effective ways to increase customer loyalty and prevent disputes.
Learn more about how AI-driven automation enhances post-purchase experiences here.
As you know, chargebacks are costly, frustrating, but most importantly, preventable. Our research shows that most chargebacks don’t stem from fraud, but from poor communication, slow response times, and customer uncertainty.
By prioritizing fast, AI-driven customer support and automated chargeback management, merchants can resolve issues before they escalate, improve customer experience, and protect their revenue.
With Gorgias handling proactive customer support and Chargeflow managing chargeback disputes, merchants get a powerful, end-to-end prevention system that ensures fewer chargebacks, higher dispute win rates, and, at the end of the day, happier customers.
Don’t let chargebacks drain your revenue. Take control today with faster, smarter automation.
Download Chargeflow’s full Psychology of Chargebacks Report to dive deeper into the data and start preventing disputes before they happen.
TL;DR:
Shoppers aren’t just open to AI — they’re starting to expect it.
According to IBM, 3 in 5 consumers want to use AI as they shop. And a McKinsey study found that 71% expect personalized experiences from the brands they buy from. When they don’t get that? Two-thirds say they’re frustrated.
But while most brands associate AI with support automation, its real power lies in something bigger: scaling personalization across the entire customer journey.
We’ll show you how to do that in this article.
Before AI can personalize emails, recommend products, or answer support tickets, it needs one thing: good data.
That’s why one of the best places to start using AI isn’t in sales or support — but in enriching your customer data. With a deeper understanding of who your customers are, what they want, and how they behave, AI becomes a personalization engine across your entire business.
Post-purchase surveys are gold mines for understanding customers — but digging through the data manually? Not so fun.
AI can help by analyzing survey responses at scale, identifying trends, and categorizing open-ended customer feedback into clear, actionable insights. Instead of skimming thousands of answers to spot what customers are saying about your shipping times, AI can surface those insights instantly — along with sentiment and behavior signals you might’ve missed.
Try this prompt when doing this: "Analyze 500 open-ended post-purchase survey responses. Identify the top 5 recurring themes, categorize customer sentiment (positive, neutral, negative), and surface any trends related to product quality, delivery experience, or customer support."
One of AI’s biggest strengths? Spotting intent.
By analyzing things like page views, cart activity, scroll behavior, and previous purchases, AI can identify which shoppers are ready to buy, which ones are likely to churn, and which just need a little nudge to move forward.
This doesn’t just apply to email and retargeting. It also works on live chat, in real time.
Take TUSHY, for example.
To eliminate friction in the buying journey, TUSHY introduced AI Agent for Sales — a virtual assistant designed to guide shoppers toward the right product before they drop off.
Instead of letting potential customers bounce with unanswered questions, the AI Agent steps in to offer:
With a growing product catalog, TUSHY realized first-time buyers were overwhelmed with options — and needed help choosing what would work best for their home and hygiene preferences.
“What amazed us most is that the AI Agent doesn’t just help customers choose the perfect bidet for their booty — it also provides measurement and fit guidance, high-level installation support, and even recommends all the necessary spare parts for skirted toilet installations. It’s ushering in a new era of customer service — one that’s immediate, informative, and confidence-boosting as people rethink their bathroom habits.”
—Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY
AI also helps you see the road ahead.
Instead of looking at retention and loyalty metrics in isolation, AI can help you forecast what’s likely to happen next and where to focus your attention.
By segmenting customers based on behaviors like average order value, order frequency, and churn risk, AI can identify revenue opportunities and weak spots before they impact your bottom line.
All you need is the right prompt. Here’s an example you can run using your own data in any AI tool:
Prompt: “Analyze my customer data to forecast revenue by segment. Break customers into at least three groups based on behavior patterns like average order value, purchase frequency, and churn risk.
For each segment, provide:
Here’s what a result might look like:
Instead of flying blind, you’re making decisions with clarity — and backing them with data that scales.
When used strategically, AI becomes a proactive sales agent that can identify opportunities in real-time: recommending the right product to the right shopper at the right moment.
Here’s how ecommerce brands are using AI to drive revenue across every part of the funnel.
Your prices shouldn’t be static — especially when your competitors, inventory, and customer behavior are anything but.
AI-powered pricing tools like AI Agent for Sales help brands automatically adjust pricing based on shopper behavior. The goal is to make the right offer to the right customer.
For example:
With dynamic pricing, you can protect your margins and boost conversions — without relying on blanket sales.
AI-powered chat is no longer just a glorified FAQ. Today, it can act as a real-time shopping assistant — guiding customers, boosting conversions, and helping your team reclaim time.
That’s exactly what Pepper did with “Penelope,” their AI Agent built on Gorgias.
With a rapidly growing product catalog (22 new SKUs in 2024 alone), Pepper knew shoppers needed help discovering the right products. Customers often had questions about styles, materials, or sizing, and if they didn’t get answers right away, they’d abandon carts and move on.
Instead of hiring more agents to keep up, Pepper deployed Penelope to live chat and email.
Her job?
“With AI Agent, we’re not just putting information in our customer’s hands; we’re putting bras in their hands... We’re turning customer support from a cost center to a revenue generator.”
—Gabrielle McWhirter, CX Operations Lead at Pepper
Let’s look at how Penelope performs on the floor:
A shopper asked about the difference between two wire-free bras. Penelope broke down the styles, support level, and fabric in plain language — then followed up with personalized suggestions based on the shopper’s preferences.
Using Gorgias Convert chat campaigns, Pepper triggers targeted messages to shoppers based on behavior. If someone is browsing white bras? Penelope jumps in and offers assistance, often leading to faster decisions and fewer abandoned carts.
If a customer adds a swimsuit top to their cart, Penelope suggests matching bottoms. No full-screen popups, no awkward sales scripts — just thoughtful, helpful guidance.
Penelope also handles WISMO tickets and return inquiries. If a shopper is dealing with a sizing issue, Penelope walks them through the return process and links to Pepper’s Fit Guide to make sure the next purchase is spot on.
By implementing AI into chat, Pepper saw a 19% conversion rate from AI-assisted chats, an 18% uplift in AOV, and a 92.1% decrease in resolution time.
With Penelope handling repetitive and revenue-driving tasks, Pepper’s team now has more time to offer truly personalized touches — like virtual fit sessions that have turned refunds into exchanges and even upsells.
Bundling is a proven tactic for increasing AOV — but most brands still rely on subjective judgment calls or static reports to decide which products to group.
AI can take this a step further.
Instead of just looking at what’s bought together in the same cart, AI can analyze purchase sequences. For example, what people tend to buy as a follow-up 30 days after their first order. This gives you powerful clues into natural buying behavior and bundling opportunities you might’ve missed.
If you’re looking to explore this at scale, you can use anonymized sales data and feed it into AI tools to surface patterns in:
Try this prompt:
"Analyze this spreadsheet of order data and identify product bundle opportunities. Look for: (1) products frequently purchased together in the same order, (2) items commonly bought as a second purchase within 30 days of the first, and (3) patterns in high-value or high-frequency product pairings. Provide insights on the most promising bundles and why they might work well together."
Just make sure you’re keeping customer data anonymous — and always double-check the insights with your team.
Related: Ecommerce product categorization: How to organize your products
AI isn’t just here to deflect tickets. From quality assurance to proactive outreach, AI can elevate the entire support experience — on both sides of the conversation.
Manual QA is slow, selective, and often feels like it’s chasing the wrong tickets.
That’s where Auto QA comes in. Instead of reviewing just a handful of conversations each week, Auto QA evaluates 100% of private messages, whether they’re handled by a human or an AI agent.
Every message is scored on key metrics like:
It gives support leaders a full picture of how their team is performing, so they can coach with clarity, not just gut feeling.
Here’s what brands can do with automated QA:
Let’s walk through a real example.
Customer: “Hi, my device broke, and I bought it less than a month ago.”
Agent: “Hi Kelly, please send us a photo or a video so we can determine the issue with your device.”
Auto QA flags this interaction with:
Reactive support is table stakes. AI takes it a step further by anticipating issues before they happen — and proactively helping customers.
Let’s say login errors spike after a product update. AI detects the surge and automatically triggers an email to affected customers with a simple fix. No need for them to dig through help docs or wait on chat — support meets them right where they are.
Proactive AI can also be used for:
This saves the time of your agents because the AI will spot problems before they turn into tickets.
Your customers are telling you what they think. AI just helps you hear it more clearly.
By analyzing reviews, support tickets, post-purchase surveys, and social comments, AI can spot sentiment trends that might otherwise fly under the radar.
For example:
Related: 12 ways to upgrade your data and trend analysis with Ticket Fields
Whether you’re enriching customer data, making smarter product recommendations, triggering dynamic pricing, or proactively resolving support issues, AI gives your team the power to scale personalization without sacrificing quality.
With Gorgias, you can bring many of these use cases to life — from AI-powered chat that drives conversions to automated support that still feels human.
And with our app store, you can tap into additional AI tools for data enrichment, direct mail, bundling insights, and more.
Personalized ecommerce doesn’t have to mean more work. With the right AI tools in your corner, it means smarter work — and better results.
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TL;DR:
AI is everywhere in customer service—powering live chats, drafting responses, and handling inquiries faster than ever.
But as AI takes on more of the customer experience, one question keeps coming up: Should brands tell customers when they’re talking to AI?
Legally, the answer depends on where you operate. Ethically? That’s where things get interesting. Some argue that transparency builds trust. Others worry it might undermine confidence in support interactions.
So, what’s the right move?
This guide breaks down the debate and gives CX leaders a framework to decide when (and how) to disclose AI—so you can strike the right balance between innovation and trust.
Depending on where your business operates, disclosure laws may be strict, vague, or nonexistent. Some laws, such as the California Bolstering Online Transparency Act, prohibit misleading consumers about the use of automated artificial identities.
For maximum legal protection, it’s best to proactively disclose AI use—even when not explicitly required.
A simple disclaimer can go a long way in avoiding legal headaches down the line. Here’s how to disclose AI use in customer interactions:
Truthfully, AI laws are evolving fast. That’s why we recommend consulting legal counsel to ensure your disclosure practices align with the latest requirements in your region.
But beyond avoiding legal trouble, transparency around AI usage can reinforce customer trust. If customers feel deceived, they may question the reliability of your brand, even if the AI delivers great service.
Related reading: How AI Agent works & gathers data
Research shows that 85% of consumers want companies to share AI assurance practices before bringing AI-driven products and experiences to market.
But what does “transparency” actually mean in this context? An article in Forbes broke it down, explaining that customers expect three key things:
How you disclose AI matters just as much as whether you disclose it. At the end of the day, AI isn’t inherently good or bad—it’s all about how it’s implemented and trained.
The way a brand approaches AI disclosure can impact trust, satisfaction, and even conversion rates—making it a decision that goes beyond simple legal requirements.
While some customers appreciate honesty, others may hesitate if they prefer human support. Brands must weigh the pros and cons to determine the best approach for their audience.
Let’s be honest: AI in customer service still carries baggage. While some consumers embrace AI-driven support, others hear "AI" and immediately picture frustrating, robotic chatbots that can’t understand their questions.
This is one of the biggest risks of transparency: customers who’ve had bad AI experiences in the past may assume the worst and disengage the moment they realize they’re not speaking to a human.
For brands that thrive on personal connection and high-touch service, openly stating that AI is involved could create skepticism or drop-off rates before customers even give it a chance.
Another challenge? The perception gap.
Even if AI is handling inquiries smoothly, some customers may assume it lacks the empathy, nuance, or problem-solving skills of a live agent. Certain industries may find that transparency about AI use leads to more escalations, not fewer, simply because customers expect a human touch.
Despite the risks, transparency about AI can actually be a trust-building strategy when handled correctly.
Customers who value openness and ethical business practices tend to appreciate brands that don’t try to disguise AI as a human.
Being upfront also manages expectations. If a customer knows they’re speaking to AI, they’re less likely to feel misled or frustrated if they encounter a limitation. Instead of feeling like they were "tricked" into thinking they were talking to a human, they enter the conversation with the right mindset—often leading to higher satisfaction rates.
And then there’s the long-term brand impact.
If customers eventually realize (through phrasing, tone, or inconsistencies) that they weren’t speaking with a human when they thought they were, it can erode trust.
Deception—whether intentional or not—can backfire. Proactively disclosing AI use prevents backlash and reinforces credibility, especially as AI becomes a bigger part of the customer experience.
Arcade Belts, known for its high-quality belts, wanted to improve efficiency without compromising customer experience. By implementing Gorgias Automate, they reduced their reliance on manual support, creating self-service flows to handle common inquiries.
Initially, automation helped manage routine questions, such as product recommendations and shipping policies. But when they integrated AI Agent, they cut their ticket volume in half.
The transition was so seamless that customers often couldn’t tell they were interacting with AI. “Getting tickets down to just a handful a day has been awesome,” shares Grant, Ecommerce Coordinator at Arcade Belts. ”A lot of times, I'll receive the response, ‘Wow, I didn't know that was AI.”
You can read more about how they’re using AI Agent here.
We mentioned it earlier, but deciding whether or not to disclose your use of AI in customer support depends on compliance, customer expectations, and business goals. That said, this four-part framework helps CX leaders evaluate the right approach for their brand:
Before making any decisions, ensure your brand is compliant with AI transparency regulations.
AI transparency should align with your brand’s values and customer experience strategy.
Rather than making assumptions, run controlled tests to see how AI disclosure affects customer satisfaction.
AI strategies shouldn’t be static. As customer preferences and AI capabilities evolve, brands should refine their approach accordingly.
If you decide to be transparent about AI in customer interactions, how you communicate it is just as important as the disclosure itself. Let’s talk about how to get it right and make AI work with your customer experience, not against it.
AI doesn’t have to sound like a corporate FAQ page. Giving it a personality that aligns with your brand makes interactions feel natural and engaging. Whether it’s playful, professional, or ultra-efficient, the way AI speaks should feel like a natural extension of your team, not an out-of-place add-on.
Instead of:
"I am an automated assistant. How may I assist you?"
Try something on-brand:
"Hey there! I’m your AI assistant, here to help—ask me anything!"
A small tweak in tone can make AI feel more human while still keeping transparency front and center.
Read more: AI tone of voice: Tips for on-brand customer communication
One of the biggest mistakes brands make? Leaving customers guessing whether they’re speaking to AI or a human. That uncertainty leads to frustration and distrust.
Instead, be clear about what AI can and can’t do. If it’s handling routine questions, product recommendations, or order tracking, say so. If complex issues will be escalated to a human agent, let customers know upfront.
Framing matters. Instead of making AI sound like a replacement, position it as a helpful extension of your support team—one that speeds up resolutions, but hands off conversations when needed.
Even the best AI has limits—and customers know it. Nothing is more frustrating than a bot endlessly looping through scripted responses when a customer just needs a real person to step in.
AI should be the first line of defense, but human agents should always be an option, especially for high-stakes or emotionally charged interactions.
A smooth handoff can sound like:
"Looks like this one needs a human touch! Connecting you with a support expert now."
AI disclosure doesn’t have to feel like an apology. Instead of focusing on limitations, highlight the benefits AI brings to the experience:
It’s the difference between:
"This is an AI agent. A human will follow up later."
vs.
"I’m your AI assistant! I can answer most questions instantly—but if you need extra help, I’ll connect you with a team member ASAP."
The right framing makes AI feel like an advantage, not a compromise.
AI perception isn’t static. Regularly analyzing sentiment data and customer feedback can help refine AI messaging over time—whether that means adjusting tone, improving explanations, or updating how AI is introduced.
When you follow these best practices, AI can be a real gamechanger for your customer support. Just take it from Jonas Paul…
Jonas Paul Eyewear, a direct-to-consumer brand specializing in kids' eyewear, needed a way to manage high volumes of tickets during the back-to-school season without overwhelming their customer care team.
To streamline these conversations, Jonas Paul implemented AI Agent to provide instant responses to FAQs. This allowed human agents to focus on more complex cases that required personalized attention.
“Being able to automate responses for things like prescription details and return policies has allowed us to focus more on the nuanced questions that require more time and care. It’s been a game changer for our team,” said Lynsay Schrader, Lab and Customer Service Senior Manager and Jonas Paul.
Jonas Paul saw a 96% decrease in First Response Time and a 2x ROI on Gorgias’s AI Agent with influenced revenue. You can dive in more here.
Whether or not your brand chooses to disclose AI in customer interactions, the key is to ensure AI enhances the customer experience without compromising transparency, accuracy, or brand identity.
So how can you get started? Gorgias AI Agent was built with both effectiveness and transparency in mind.
For every interaction, AI Agent provides an internal note detailing:
Excited to see how AI Agent can transform your brand? Book a demo.
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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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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.
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.
This working knowledge becomes vital as you work through decisions like which online shopping payment options you’ll offer in your store and which solutions you’ll include in your ecommerce tech stack.
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.
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.
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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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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
Any provider that deals with credit card information must be compliant with the Payment Card Industry Data Security Standard (PCI DSS).
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.
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.
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.
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.
📚Read more: Select the Right Payment Options for Your Ecommerce Store to Maximize Profits
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 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).
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).
Use Gorgias? Check out our integration with CheckoutChamp.
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.
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.
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.
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.
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.
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.
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.
Learn more about how to optimize your ecommerce store with Gorgias and how Gorgias performs with Shopify, Magento, and BigCommerce.
The Gorgias helpdesk is a highly customizable, automatable tool. In theory, you could use it like a standard inbox, answering customer support tickets from top to bottom. But you’re better off taking advantage of its features to organize your inbox, automatically prioritize and assign tickets, and automate repetitive tasks.
Streamlining your helpdesk from the jump is the best way to spend less time on administrative work so you can respond faster and leave customers satisfied.
TalentPop is a customer service management agency for ecommerce brands like yours and optimizes Gorgias for over 500 top brands like Jaxxon, Lilly Lashes, and Kettle & Fire. And while each brand’s needs are unique, every ecommerce company could benefit from essentials like automated ticket routing and answering WISMO requests.
We developed this playbook to share these best practices for setting up Gorgias so your team can get back to focusing on what matters most: tending to urgent requests and having impactful conversations with your valued customers.
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In Gorgias, Tags keep track of the contents and context of a ticket at a glance:
Especially as your team grows, Tags are the best way to keep your helpdesk organized, filter for specific conversations, and track the progress of customer resolutions. Plus, when combined with automation (which we’ll discuss in the next section), Tags help your team prioritize requests, route conversations to a specific team member, or send messages to customers.
Accurate and up-to-date Tags also help you analyze ticket trends much easier. For example, if you suddenly experience a 20% spike in tickets tagged with “product-complaint,” you can quickly dig into that issue.
Gorgias comes with a set of Tags that you can start using automatically, but you should build out the list based on your needs. When we help brands build out their list of Tags, we start by auditing past tickets to understand existing patterns.
Below, we included a list of the most common Tags you’ll likely find helpful. Start there, and consider auditing your own helpdesk to add any additional tags your team would find helpful.
Tags for customer account management
Tags for collaboration
Tags for customer feedback
Tags for product feedback
Tags for discounts
Tags for orders
Tags for return and exchange
Tags for shipping
Order status
Tags for social media
Tags for subscriptions
Tags for urgent inquiries
Tags for VIP customers
Tags for wholesale requests
Once you have those (and other) Tags set up, you can apply them manually or use automation to automatically tag incoming tickets.
In Gorgias, Rules are flexible tools to automate a wide range of day-to-day tasks, like tagging, routing, automatically closing no-reply messages, and even replying to basic messages.
Just like Tags, Rules will vary from brand to brand. And the possibilities of Rules are near-endless, so no blog post can give you a complete list of Rules to use. That said, here are four categories of Rules (with specific examples) you’ll likely find useful:
Manually applying Tags can eat up agent time (and leave room for error). Move faster and ensure your tags are more accurate by setting up Rules to auto-tag tickets based on ticket content.
The following Rules use keywords in the message to apply Tags. For even more advanced tagging, you can use Gorgias’s Intent and Sentiment Detection to tag tickets even when the ticket doesn’t include a specific keyword.
Rule description: When an agent requests an email address update from customers, apply the “edit-address” tag.
Rule benefit: This Rule helps you keep track of incorrect email addresses and email address updates. When you then use this Tag in correspondence with a View, you’ll have an easy time matching up the customer’s old and new email addresses.
How to set up Rule:
Rule description: Automatically tag incoming tickets mentioning product damage with “Damaged/Defective.”
Rule benefit: Tagging these kinds of tickets is a great way to prioritize these sensitive interactions, so customers aren’t left waiting after they receive a damaged item. If you respond quickly and courteously, you greatly increase your chances of mitigating an escalation and retaining the customer.
How to set up Rule:
💡Tip: Adjust the rule to include keywords from previous tickets about damaged inquiries, which will best reflect how customers talk about your product getting damaged. For example, if you sell clothes, people will use words like “torn” and “stained” more than “broken.”
Rule description: Automatically tag incoming tickets containing exchange requests with “Exchange Request.”
Rule benefit: This is a very beneficial auto-tagging feature that, when corresponding to a view, will help your customer service agents prioritize exchange requests on time. From our experience, this is especially helpful for apparel and jewelry brands, although you can use it for a variety of brands.
How to set up Rule:
💡Tip: We recommend updating the Exchange Request Rule with language from previous and future tickets. Continuously optimizing the rule to include additional keywords will help make the tagging function more accurate over time.
Rule description: Automatically tag incoming tickets containing refund/cancellation requests with “Refund/Cancellation.”
Rule benefit: When corresponding to a View, this auto-tagging feature will help your team effectively prioritize refund and cancelation requests, which is important for a couple of reasons:
How to set up Rule:
Rule description: Automatically tag incoming tickets mentioning new product reviews with “Review.”
Rule benefit: When corresponding to a view, this rule will help your customer service agents properly manage and respond to incoming reviews, both positive and negative.
How To Setup Rule: Unlike our other rules, there can be multiple configurations for this set-up — it depends on the platform that you are using. Gorgias currently integrates with several review apps, but each one can require a different setup. In this example, we will include the most common configurations.
Here’s a Rule that leverages the Gorgias integration with Yotpo, flagging new reviews of your channel:
Here’s a review based on the ticket’s subject line to catch new reviews based on the standard format of some review platforms:
💡Tip: Take your internal reviews-monitoring processes to the next level by manually tagging reviews as positive or negative. This will help you better understand which reviews are positive or negative, overall trends, and flag reviews with a high score but negative tone.
Another trick we like is to tag reviews with the relevant product’s SKU to help your team better understand which products people enjoy or dislike the most. This feedback is invaluable for your Product team.
Rule description: Automatically tag incoming tickets containing time-sensitive requests with “Urgent.”
Rule benefit: Urgent tickets should always be prioritized, which is what this rule — when corresponding to a view — helps your team to do.
How to set up Rule:
💡 Tip: Set up this rule with keywords that your team deems urgent, like when customers threaten to contact the Better Business Bureau or ask to speak with a manager. Negative comments don’t have to be the only urgent ones, either: You can tag pre-sales tickets or tickets from VIP customers as urgent.
Additionally, you can apply a rule for Urgent tickets explicitly related to social media. This setup is a stellar method for ensuring public (ie. customer-facing) issues are resolved quickly.
Rule description: Automatically tag incoming tickets mentioning problems with your website with “Website Issue.” (Note: You might also choose to also add the Urgent tag so you can address these issues quickly.)
Rule benefit: This Rule is a lifesaver — it’s been highly effective for our clients during sales, general marketing campaigns, or even on an average Tuesday. It can ensure that you don’t miss out on sales and that your customers always have the best experience.
How to set up Rule:
Rule description: This ticket advises customers when your live chat is unavailable due to business hours or holidays.
Rule benefit: One of our favorites for gauging bandwidth, this rule is great for identifying when messages come in outside your regular business hours. With this data, you may consider bringing on additional support if ticket volume is high outside of your regular customer service schedule.
Note: To use this Rule, you’ll have to set up Business Hours. You can also adjust your chat setting so chat is unavailable outside business hours, and customers must fill out Contact Forms (which require their email address) to send a message so you can follow up via email when your team logs back on.
How to set up Rule:
In case you missed it, an internal note in Gorgias is a note added to a ticket that’s only visible to your team — it’s not shared with the customer. Internal notes can be added to conversations to share vital or helpful information about the customer or the ticket with your team. These notes can also record any actions taken on the customer's request.
Rule description: When an agent creates an internal note, this Rule automatically tags the tickets as “Internal Note - Open.”
Rule benefit: This Rule is great for ensuring internal team communications are appropriately tagged and sorted into Views, so all internal views get flagged and all customer questions get answered.
How to set up Rule:
An auto-reply is a pre-written response automatically sent to a customer based on the ticket’s content, channel, timing, or a variety of other factors. You can use auto-replies to:
Note that auto-replied tickets still have limitations and should be frequently reviewed and re-assessed.
Rule description: Answer and resolve inquiries about order status.
Rule benefit: Provide instant responses to the most common question in ecommerce customer support and free your agents up for higher-impact interactions.
How to set up Rule:
📚 Related reading: Check out our complete guide to automating WISMO requests.
Views filter and organize customer data within the left sidebar, allowing customer service teams to access and respond to customer inquiries quickly. Views can also prioritize tickets by urgency or organize them by channel. This feature helps customer service teams manage their workload more efficiently and provides insights into common customer issues or trends.
Views are simple to set up based on ticket tags and other qualities, so we won’t spend time explaining how to set them up here. Instead, we’ll share a couple of types of Views you’ll likely find useful.
Building views based on urgency within Gorgias is a good idea for several reasons:
Building views based on specific channels within Gorgias can be extremely helpful for your brand’s customer service needs:
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Macros in Gorgias are pre-made responses that insert commonly-used text into a ticket response after being triggered by a keyboard shortcut or by clicking a Gorgias interface button.
They help agents decrease response times by eliminating the need to repeatedly (and manually) type the same response for similar customer service inquiries. A customer service representative might use a Macro to insert a standard response to a frequently asked question or even a product return request.
As we tell our own TalentPop agents during training, it is never in your best interest to 100% rely on Macros. Macros should be a foundation for writing responses to customers, as every inquiry is unique and each customer deserves a personalized experience.
Handling returns and exchanges can be complex. As a customer service management agency that has worked with over 500 top ecommerce brands, we can confidently say that a “one-size-fits-all” approach is not the correct one for these situations.
With this in mind, we generally provide our agents with different options to handle situations based on client SOPs.
Below you will find an example of what an unbranded Macro for this could look like:
Hi {{ticket.customer.firstname}},
It's {{current_user.firstname}} from [Brand Name].
Thanks for reaching out!
You can return an item within [X days] of receiving your order.
Once we receive your package, please allow up to 2 weeks for us to receive and inspect your product.
Once everything is properly verified on our end, we can process the return and issue the credit back to your original payment method.
For more information, please take a look here [Link to Return Policy].
We would love to help you out regarding your return request.
Since you received your goods within the return window of [X days], we can absolutely help you with a return.
Attached is a return label you can use to ship the items back to us.
Once we receive your package, please allow up to [X days] for us to receive and inspect your product.
Once everything is properly verified on our end, we can process the return and issue a credit back to your original payment method.
For more information, please take a look here [Link to Return Policy].
Your order was delivered on [Delivery Date] and is already past our return window of [X Days], we can no longer process a return.
For more information, please take a look here [Link to Return Policy].
Should you have any further questions, please let me know and I am more than happy to assist you.
All the best!
{{current_user.firstname}}
[Brand Name]
💡Tip: Another option to make this Macro more concise is to separate the situation types specifically. I.e. Return: Return Policy, Return: Within Return Window, Return: Outside of Return Window, etc. We find this the best approach, as it provides you with cleaner data that you can use to better understand customer situations.
Just like exchanges, we can either create a single Macro that explains different options for an agent to choose from, or create separate Macros for each situation (like regular refund/order cancellations, damaged refunds [minor/major defect], discount errors, product out of stock, subscription refund, etc.)
Below you will find an example of what an unbranded Macro for this could look like:
Hi {{ticket.customer.firstname}},
It's {{current_user.firstname}} from (Brand Name). Thanks for reaching out!
I am more than happy to help you out with your refund request.
I've refunded your last order {{ticket.customer.integrations.shopify.orders[0].name}} as requested.
We have successfully processed a partial refund on your order {{ticket.customer.integrations.shopify.orders[0].name}} as requested.
Please allow (X-X) business days for the refund to be processed. These funds will be refunded back to the original form of payment used for the purchase.
Thank you and please let us know if there is anything else that we can help you with.
We are very sorry to hear that you were not satisfied with your purchase. We can't process your refund request at this time because (insert the reason why a refund is not applicable).
Please let us know if you have any questions on this.
If the customer wants to follow up on a refund request that has been processed
Upon checking your order {{ticket.customer.integrations.shopify.orders[0].name}}, I can confirm that your refund has been processed on our end. You will see the refund amount on your payment account within 3-5 business days.
If you do not see any updates, I would recommend contacting your bank directly to verify the refund progress.
We apologize for any delays on this.
Please let us know if you have any questions.
All the best!
{{current_user.firstname}}
[Brand Name]
💡Tip: If you create a more specific refund Macro, we recommend adding the specific tags and corresponding actions that should be taken while using it. For example:
This action lets you choose whether you want to process a full refund or a partial refund:
Hello {{ticket.customer.firstname}},
It's {{current_user.firstname}} from (Brand Name). Thank you for bringing this to our attention.
I am so sorry for how you received this item!
Since this defect seems it should not affect the integrity of the item, we can provide the following options:
1. Keep the item and we will issue an XX% discount code for the inconvenience and condition that the product showed up in.
2. We will issue a return label for you to be able to send it back and we can then process a replacement or a refund.
Please note that if you decide to keep the item, it will not qualify for further compensation in the future if any additional issues occur.
Thank you,
{{current_user.firstname}}
[Brand Name]
Hello {{ticket.customer.firstname}},
It's {{current_user.firstname}} from (Brand Name). Thank you for bringing this to our attention.
We're so sorry you received your order damaged. We totally understand how frustrating this feels and we'd love to be able to make it up to you!
Here are a few options for you to choose from:=
1. A replacement (if stock allows).
2. A refund back to your original payment method.
3. A refund in form of store credit (gift card).
Please let us know what option would work best!
Also, please use the discount code XXXX on your next purchase as a gift from us.
Thank you!
{{current_user.firstname}}
[Brand Name]
In the examples above, you may notice that in both situations, we are providing customers with options to choose from. From our experience, when customers can choose the type of service they want, they are more likely to be satisfied with their overall experience.
Hi {{ticket.customer.firstname}},
We would love to assist you!
Can you kindly share with us what you would like to change in your order?
Once we have this information, we can go ahead and update your order.
We have successfully updated your order. We have sent you a new order confirmation to your email for your reference.
Please let me know if you have any questions and we look forward to getting your order in your hands!
Hi {{ticket.customer.firstname}},
It appears that your order was fulfilled last {{ticket.customer.integrations.shopify.orders[0].fulfillments[0].created_at|datetime_format("MMMM d YYYY")}} and unfortunately we can no longer cancel it.
You can simply refuse the package upon delivery, and once your online tracking information updates that your order is on its way back to us, please let us know over email so we can assist and provide you with either a store credit or a refund.
Out of curiosity, can you kindly share what made you change your mind about your order? I'd love to share this with our Product Team! From there, we can understand how we can improve things on our end and how we can best help you out.
Please let me know if you have any questions and I look forward to your reply.
Live chat can be an impactful support channel for your ecommerce business, as it can decrease response times, improve your overall customer experience, and drive revenue further.
This Macro is great to use as a sign-off; you can amend it according to your brand voice or the situation at hand.
Hi {{ticket.customer.firstname}}!
I hope I was able to address your concerns.
Please feel free to reach out anytime. All the best! {{current_user.firstname}}
If we can be of further assistance, please free to reach us again or send us an email at support@client.com. Thank you and have a great day!
This Macro is great to use when you have agents online and receive a live chat message, but are busy responding to another customer.
Hi {{ticket.customer.firstname}}! We received your message and an agent will be with you soon!
You can pair this Macro with an autoresponder Rule, so customers automatically receive this message in response to the first live chat message they send. Here’s what that Rule looks like:
The basic setup of Gorgias is easy, but some brands may want extra help to fully customize Tags, Views, Rules, and Macros to provide great service as efficiently as possible. If this sounds like you, TalentPop is here to help.
As a trusted Gorgias Partner, we have extensive experience with Gorgias’s helpdesk. We understand that every business is different, and we strive to help each of our clients find the best solutions that work for their teams. We’re well equipped to customize the platform to your preferences and unique situation streamline your processes and help your business grow.
Whether you’re getting started with Gorgias or are ready to level up your helpdesk to meet your needs, our implementation team is here to be your Gorgias guide.
If you’re interested in learning more about how we can help, book a call with our team for a free consultation.
TL;DR:
As your brand grows, maintaining quality customer service is tough. Eventually, you can’t obsess over every customer’s experience yourself — even small businesses have to delegate.
Outsourcing customer service is one way to scale up. But that might raise concerns of losing control and disappointing your customer base with poor service. That’s obviously not ideal, especially since 48% of customers will switch to competitors for better service. Any successful brand should be picky about who can access their customers.
But outsourcing customer service can work — with a particular approach. The trick is an in-house/outsourced hybrid model. One that uses outsourced knowledge and resources without losing sight of your brand’s needs, voice, and processes.
That’s the model we use at HelpFlow. For nearly a decade, we've hired and managed customer service teams for over 100 brands as a Gorgias Elite and Services Certified Partner. Our clients have reached chat response times of 10s, email response times of < 4 hours, and CSAT scores of 90+.
Drawing from first-hand experience, I’ll share common challenges brands typically encounter when outsourcing customer support. And how to choose an outsourcing solution to help your brand grow. Last, I’ll tell you what customer service outsourcing companies — like the one I run — need from you to be successful.
Customer service outsourcing is the process of hiring external agents to help you handle customer service tickets.
Outsourced call centers were once the main option for customer support, but most modern services are now omnichannel. That means they can help you keep up with customer interactions on email, live chat support, social media, SMS, WhatsApp, and phone calls.
Outsourced agents can be individual freelancers hired directly (through platforms like Fiverr) or employees of customer service outsourcing companies. These customer service outsourcing companies are a type of business process outsourcing (or BPO).
Let’s dive more into these differences (and why they matter):
There are three main models of outsourced customer support, each with a unique way of supporting your team. Within each model, you’ll still find a wide range of pricing and quality. But before looking for solutions, you’ll want to decide which general model would work best for your team.
Customer service agencies are businesses that help you recruit, hire, train, and manage agents.
Great agencies have proven hiring and training methods, strong teams of skilled agents, and a client roster to guide your decision.
However, that’s definitely not always the case. Some agencies — especially the ones with too-good-to-be-true pricing — hire the cheapest agents available, don’t provide training and will degrade the quality of your support. As with all things, you get what you pay for.
Agencies are the best solution for brands that want an outsourcing solution that’s flexible, long-term, and quick to ramp up.
You can also hire your own external customer service agents individually as contractors.
Like an agency, this saves costs compared to hiring a full-time employee. Since you manage the hiring process directly, contracting individual agents gives you more control over the quality of service. However, you’ll have to hire, train, and manage the agent(s) entirely on your own. Plus, guaranteeing 24/7 coverage and scaling up and down throughout the year will be more challenging than with an agency.
Individual agents are the best solution for small businesses needing only one or two more part-time agents. They must also be willing to invest significant time in hiring and training those customer support agents.
In recent years, there has been an influx of pay-per-ticket services for customer service. These providers offer scalable plans based on your ticket volume. You only pay for the number of tickets in your inbox instead of contracting agents for a set number of hours.
While the pay-per-ticket model may sound attractive, hidden fees and steep minimums make these less cost-effective than advertised.
Generally, hiring contract agents directly or using a higher-quality agency is best.
Customer service outsourcing isn’t the right customer care solution for every company. Sometimes, hiring full-time agents or using customer service automation is the right choice.
Here’s a snapshot of the pros and cons of outsourcing:
The most significant benefit of customer service outsourcing is that it provides your company with additional help. Some other benefits of bringing on an external customer service provider include:
Before getting into customer support outsourcing success tips, let’s dig into the typical traps that cause outsourcing failures.
When hiring directly, brand operators get enamored with the cost savings of outsourcing. They often try to put together a cheap solution that optimizes cost — and then the quality is lacking.
Startups in the space pitch a “just pay $ for each ticket we handle” model, which is a variation of the issue above. Per ticket sounds nice until you realize it means the agents handle 10-20+ brands with little to no training. Sometimes this even means churning ticket volume to drive up the cost.
Pay-per-ticket models become a way more expensive solution than managing CS in-house.
Often, customer service managers can’t manage the external team closely enough — think integration into the team, coaching, etc. This leads to agents operating a bit like customer service robots, which may eventually lead to turnover.
A hybrid structure for your customer service operation offers the best of both worlds. You maintain quality with internal alignment while scaling impact with the human power of an outsourcing partner.
Before you start, your in-house Customer Service Manager builds an effective customer service process. While an excellent outsourcing agency should improve your process, it can’t build a customer support program from scratch. Always start in-house, then bring on outsourced help to scale.
After setup, a customer service outsourcing partner provides additional agents and helps optimize your operations. They can handle tickets, recommend process improvements, create robust reporting, and support special projects like capacity planning and forecasting.
The key is to hire agents who work exclusively for your brand, either directly or through an agency, and work closely with them. That’s the only way to balance quantity, scale, and flexibility.
We use this model at HelpFlow with a wide range of brands. Here’s what Sam Menleshon at Sivana Spirit said about the process:
"I have hired a lot of agencies and service providers over the past 10 years. Some great, some decent, and a lot terrible. Helpflow has been the best experience I have ever had with an outside service provider. Their team analyzed our communication with customers, streamlined it, and built processes for it. After 2-4 weeks of training, 3 agents went live. It was like having in-house employees just appear out of thin air."
— Sam Menleshon, Owner, Sivana Spirit
One of our clients — an ecommerce brand in the apparel industry — came to us after a growth boom. They had a 4-day response time and a 9-day resolution time, a serious threat to any brand’s customer retention.
After working with our team, they reduced response time to 6 hours and resolution time to 30 hours.
Three key metrics indicate when your customer support team may need extra help.
If your first response time and average handle time start to increase, it could be a sign that your agents are hitting their capacity with the ticket volume they can handle.
These metrics can be helpful to benchmark, but you should track your own metrics over time and watch for changes in the wrong direction.
Another warning signal is if resolution time is consistent, but customer satisfaction is down. This could be a sign that your agents are not giving each ticket the same amount of thought and attention, potentially from overwork.
Take note if response times and customer satisfaction are steady, but some agents handle far more tickets than others. This could mean a few agents are taking on extra work that might overwhelm the team eventually.
Note: Be sure to filter out social media comment-related tickets if you are routing them all into the same helpdesk. Combining these with normal tickets can massively skew your insights since they usually require a like or simple response.
Scaling customer service is easier when your infrastructure, workflow, and management routine are well-organized. It doesn’t need to be perfect, but here are the main areas to solidify with your in-house team before outsourcing.
Set up your helpdesk to properly intake and route inbound calls and tickets. For example, in Gorgias, you can set up specific views to organize certain types of tickets in real-time.
This allows your team to divide and conquer based on ticket type and prioritize certain types of tickets to drive more revenue (or save customer risk situations).
You should have basic KPI tracking in place before outsourcing. The most important customer service metrics are first response time, resolution time, customer satisfaction, and ticket volume per agent.
Most helpdesks track these by default but make sure the data is clean as soon as possible.
Establish a weekly cadence to review these, (re)set targets for each one, and notice when the numbers start to get out of whack.
A robust knowledge base and templates may not be necessary for your initial team. However, they’re the best method of proactive quality assurance for external support reps. Gorgias has Macros, or dynamic templates so that you can build a library of on-brand and in-policy responses.
At HelpFlow, we’ve offered outsourced support for nearly a decade. We’ve seen competitors come and go because agencies are very easy to start but difficult to sustain long-term. They can handle a few clients easily but start cutting corners once they grow past about 15.
Here are the key ways to dodge many agencies that can’t back up what they’re selling.
Many agencies hire any agent they can find at the cheapest rates possible to juice their margins. To make sure you’re getting A Player agents, ask the following:
For context, we collaborated with the team at Gorgias on an in-depth post about hiring customer service agents. It goes deep into the recruitment and screening process. Most agencies you encounter won’t have this intense of a process refined over a decade. But it’s a good example of how methodical a hiring process should be.
Customer service agencies often face management issues, causing poor agent retention and 20-30% annual turnover among front-line agents.
This can be challenging for your brand, as you'll spend more time training new agents instead of benefiting from long-term outsourcing.
Great agencies often poach top agents from competitors who offer low pay, poor benefits, and long hours. Choosing a cheap agency risks losing high-quality agents to agencies that treat them better.
It’s common to have customer service teams operate in The Philippines or other countries overseas. However, if managers are in a different country from the support reps, it can cause disconnects and poor quality.
If you’re talking to a sales executive in California who brings in a team leader from New Jersey who mentions their great Filipino team (whom you haven’t met), that’s a major red flag.
Ask how often the team meets in person for get-togethers. Remote support teams are great, but if they’re not getting together in person, the culture is usually pretty weak.
At HelpFlow, our entire team is in the Philippines, including Client Success Manager, Sales, and all other team members. This enables us to hire middle to senior-level people for all roles while keeping costs to our clients low even as we scale.
Competitors with US-based management or sales experience communication and management breakdown as the company grows. This leads to clients paying more than they should for agents who are cheaper and less experienced, which shows up as agent and client retention problems.
The “sales process” you go through with the right agency should feel like a powerful customer service strategy consultation. For example, the agency should review your helpdesk, ask about processes, and analyze your customer experience to suggest solutions.
For example, they could look at your tagging to suggest auto-tags that would make your helpdesk more organized.
Or, if your team already uses Gorgias, the agency should be suggesting ways to improve your team’s speed and create a great customer experience with self-service.
If the agency doesn’t drive the sales process and show expertise from past experience, it’s another red flag.
Once you’ve found an excellent customer support service to work with, the real work begins. On both ends! The training and onboarding process is the most critical part of the process. It’s when things either fall off the rails or start to accelerate and make you realize the power of the team you just hired.
There are a few key things that should happen during onboarding:
The sales team you worked with should have a smooth handoff process with the account management team.
The agency should ask about the project’s details, timeline, tools, and accountable team members. This process should give the account management team everything they need to know before you actually start working with agents.
The agency should have an efficient intake process to access your systems and understand your customer service process. Before the kick-off call, expect a well-designed questionnaire, an analysis of your tickets, and then a call to discuss their findings.
The agency should be able to create a robust training process for their agents, regardless of your current process.
Even if you have little to no documentation, the agency should be able to use the accesses provided and intake information to create a robust knowledge base for the agents to use.
Once training is complete and agents are up and running, it’s crucial to maintain a management cadence of the team. This should include monitoring the key metrics we shared above to gauge the quality and capacity of the operation.
Set up regular meetings with the agency to discuss customer service challenges and initiatives to improve the process.
Many brands tend to operate day to day, without intentionally flagging and pursuing longer-term opportunities within teams (especially outsourced teams).
Ongoing management and a hybrid structure help your agency improve your team further, like expanding multichannel operations or exploring outbound calls and messages.
Looking for a customer service outsourcing provider that can meet your needs? Start with these recommendations as you explore your options:
Scaling past your initial core team is challenging, and outsourcing can be scary. If you get it wrong, it can bring down the brand you built by building an army of angry customers in the market.
But if you get outsourcing right, you can continue to scale up revenue while keeping customer service great. And you can keep improving it significantly over time.
HelpFlow is a Gorgias Elite and Services Certified Partner with experience with customer service teams for 100+ brands over a decade. At the start of any project, we get deep in the weeds with the brand’s team to audit the customer service process. We share a roadmap that calls out issues and suggests resolutions, along with initiatives to improve the customer service operation.
Get in touch with us today to audit your process.
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Keeping pace with customer support tickets is a challenge for many ecommerce brands. Too often, support teams are constantly flooded with very simple, repetitive questions that customers instantly want answered (like WISMO, or “Where is my order?").
The sheer volume of these repetitive tickets leads to a few major problems:
To help brands manage repetitive tickets (and provide an even better experience to customers), we created the Automation Add-on. The goal behind the add-on is to deflect your most repetitive questions, provide order information, and turn pre-sales questions into enthusiastic purchases — all of which are more convenient for your customers.
The Gorgias Automation Add-on provides instant, automated answers to common questions via your email, Help Center, and chat widget. Your customers can get a quick response (and resolution) around the clock, even when a live agent isn’t available.
With automation, you’re conveniently answering questions that don’t require a conversation. Your agents can focus on more important conversations instead of copying and pasting order statuses all day long
The full Automation Add-on is available for Shopify stores, and some features (including returns autoresponders, auto-close spam emails, and quick responses) are also available of BigCommerce and Magento.
But don’t customers prefer human interaction? Not always. According to Statista, 88% of consumers expect brands to have a self-service support portal. This is especially true when customers are looking for information doesn’t really need a “human touch” (and shouldn’t force them to wait for a human to respond).
By using customer service automation, you can give customers the instant information they need while also freeing up agents to focus on conversations that need a personal touch.
The Automation Add-on typically deflects up to 20% of tickets (up to 50% for power users). By deflects, we mean that the customer’s issue is resolved without any human interaction.
Reducing repetitive tickets enables agents to answer and spend more time on high-impact tickets that automation can’t handle.
While customers shop online around the clock, your agents aren’t always available to answer questions. The Automation Add-on’s features can handle frequently-asked questions like “What’s your shipping policy?” “Do you have any promotions?” or “Where is my order?” at any time. You can provide 24/7 service for a large chunk of your incoming inquiries without the overhead cost of hiring additional agents.
“Knowing they can reach us 24/7 is a huge thing for our customers, especially international customers. Because they want to get answers no matter what time it is.”
— Caela Castillo, Director of Customer Experience, Jaxxon
When customers ask pre-sales questions, they’re sending a strong indicator that they’re more likely to make a purchase. And these customers are even more likely to purchase if their pre-sales questions are answered instantly: questions about product sizing, return policies, international shipping, and so on. If they have to wait, they may lose interest.
FAQs and product information in a chat can provide answers and promote your brand — leading to additional revenue. With the Automation Add-on, this information is front-and-center, leading to more chat engagement — a type of engagement that doesn’t require any waiting.
For example, Gorgias customer RevAir saw a 120% increase in chat engagement since adopting the add-on — all while simultaneously lowering response and resolution times. (More on that below.)
📚 Recommended reading: Learn how Jaxxon boosted revenue by a whopping 46% with help from the Automation Add-on.
Any automation should build customer trust in the same way agent interactions would. Whether the customer contacts your company via chat, email, or your help center, the Gorgias Automation Add-on is designed to manage the replies.
The Automation Add-on doesn’t just provide automated answers to questions about customers’ orders. With Auick Response Flows, you can provide answers to common questions, like “What is your shipping policy?” This doesn’t just protect your agents from repetitive tickets, it gives customers answers they need to make a confident purchase while they’re actively shopping.
In your automation configuration, you’ll set up a Quick Response Flow section along with the automated responses.
When the customer clicks on the button, the chat will provide an automated response.
Once the automated response is provided, the chat will ask if the answer was helpful. If the customer clicks “No, I need more help” a ticket will be opened in Gorgias for you to answer with live chat (if an agent is available) or a contact form if nobody’s online.
These Flows can also be interactive. Instead of one answer for each question, you can use multiple steps to collect customer inputs and provide a more personalized answer. For example, you can build a Quick Response Flow around the question, "Which product is right for me?" and then base the suggestion.
Take a look at Princess Polly's website for another example: When customers click "What is your return policy?" they get asked if they're in the US or UK. If they click yes, they get domestic shipping info. If they click no, they get international shipping info. Either way, they only see what's relevant to them.
You can also add Quick Response Flows in your Help Center. This way, when customers land on your Help Center, they'll see common questions and helpful answers in easy, prominent buttons.
For example, BrüMate's Help Center has two Quick Response Flows: one to find the right product, and another to get information about returns.
When a customer clicks on "Fit My Drink," they're taken to an interactive automated Flow, where they answer a few questions to find the perfect product for them:
Since the main questions filling up most brands’ support inboxes are about order status, the Automation Add-on features a self-service solution. With Order Management Flows, customers can track, return, and cancel orders within the chat widget or Help Center themselves.
Order Management Flows add an order management portal int the chat widget, which lets customers log in and manage their orders without waiting for an agent. By opening the chat widget that’s already on your website, customers can:
Your customers can also see order details, such as shipping, billing, and payment information.
Your Help Center isn't just a library of articles to answer questions about your products, shipping, and brand. You can embed Order Management Flows at the top of your Help Center to let customer manage their orders, just like in the live chat widget described above.
By using customized Report Issue Flows, a customer can notify your support team that something is wrong with their order. When customers report an issue, Gorgias will create a ticket for your team and, if you’d like, send the customer an automated message.
You can provide different issue options based on the order type or shipment statuses. For example:
You can even personalize the options each customer sees based on the status of their order in Shopify. This way, they’ll only see relevant options — a customer wouldn’t need “My item is damaged” if we know it hasn’t arrived yet.
Once the customer answers the questions prompted by your Report Issue Flows, a ticket will be opened for your agents in the Gorgias helpdesk. The flow collects the information needed for your agents to handle the issue (and provide an automated response if applicable).
When customers ask questions in chat, Gorgias uses AI to scan the question and recommend relevant content from your Help Center. This deflects live chat questions, and serves customers detailed answers to a wide variety of questions. Here's an example of AI Article Recommendation Flows from Parade, which answers a common question with a detailed article. (Of course, the customer still gets an easy path to human support if they need more help.)
Email has the highest volume for customer support, around 70% of total volume. Reducing email volume by even 5% can have a huge impact on support teams.
Autoresponders can automatically answer routine questions — again, we’ll use “WISMO?” as an example.
The autoresponders use Intent Detection, powered by natural language processing, to detect if incoming emails are related to common topics like tracking or order status.
If Gorgias receives a ticket with a relevant Intent, the Rule will trigger and send the customer the appropriate reply. In the case of “where is my order?” the autoresponder will provide shoppers with a tracking link, resolving the conversation before a ticket was ever created.
If you have the Automation Add-on, you don’t need to set up the autoresponders! Just click Create Rule in your Grogias account and select from the options under the ✨ Autoresponse section.
Autoreponders in the add-on are owned and updated by Gorgias. While you can create your own Rules from scratch, you also get automatic access to this library of automatic responses that Gorgias monitors and provides.
You can measure the impact of the Automation Add-on’s features in the Automation section of your Statistics. The report shows data such as the total number of automated interactions via chat. You can also see this as a percentage of total interactions.
You can further break this down and look at your quick replies, issues reported, returns, and other interactions. You’ll also be able to see how many tickets were handled by agents after automated interactions.
The Statistics Page offers a variety of valuable insights. For example, you can see if a particular product generates a lot of reported issues or return requests. You can also see how your automation usage changes over time, especially if you add additional Quick Response Flows
Loop Earplugs understands the importance of quick responses for its customers. “Self-service allows our customers to solve their own issues at the click of a button,” said Milan Vanmarcke, Customer Service Manager at Loop Earplugs. “These frequent simple questions are solved instantly.”
Loop Earplugs cleverly used Google Analytics on its FAQs to determine which questions had the highest volume as a starting point, and answered those questions in Quick Response Flows. Loop Earplugs turned ¼ of all chat interactions into pre-sales flows, building customer trust along the way.
“When customers get a quick and honest answer, they often end up buying more than one product in a short span of time,” Vernmarcke noted. As a result of the pre-sales flows, the company has seen a 43% increase in revenue from customer support.
Read more about the impact of the Automation add-on on Loop Earplugs.
Beyond meeting a customer’s expectations for instant answers, automation can boost your revenue, as Loop Earplugs found. You have opportunities to promote your merchandise, capture email addresses by offering a discount, or set rules to follow up with new customers. Plus, your human agents will be more free to answer pre-sales questions coming in on chat, or complex, VIP, and escalated tickets that were once buried under a mountain of WISMO requests.
Already a Gorgias customer? Sign up for an automation workshop to learn more about the add-on. Or, if you want the add-on today, log into Gorgias and go to Settings > Self-service (under Automation) > Your store > ✨Get Automation Features.
Not on Gorgias yet? Book a demo to learn more about the customer service platform built exclusively for ecommerce.
Chances are, your brand already uses a handful of customer service channels to connect with customers: email, social media, live chat support, and maybe even SMS. But your omnichannel customer service strategy isn’t complete until you tap into the world’s most popular messaging app.
WhatsApp’s 2 billion active users are spread across the globe, so talking to customers is a must for international brands — especially if you sell in Asia, South America, and Europe.
Below, we’ll give you the basic rundown on WhatsApp and WhatsApp Business, plus a few reasons to start offering customer support on the app. Then, we’ll share a step-by-step process on how any company can start using WhatsApp plus a few tips on how ecommerce companies can do so as efficiently as possible.
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WhatsApp is the most popular messaging app in the world, thanks to its security, reliability, and ability to work without a phone plan — all it requires is Wi-Fi. WhatsApp was initially launched in 2009 and acquired by Meta in 2014.
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WhatsApp’s base service is for individual users. Each user links a phone number to a WhatsApp account, making it a WhatsApp number. Then, you can call, video chat, and send SMS-like WhatsApp messages to friends and family across the globe. WhatsApp supports individual messaging, group messaging, and multimedia messaging — all with end-to-end encryption to protect user privacy.
The WhatsApp Business app lets small businesses and enterprises exchange messages with users of the regular WhatsApp service, upgraded with a few business-specific features.
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When you create a WhatsApp Business account, you’ll gain access to:
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Your time is limited. Even with all these WhatsApp Business features, offering customer support on WhatsApp isn’t a top priority for every business.
Here are a few reasons to consider using WhatsApp as a customer support channel:
WhatsApp is the most popular messaging app in the world, with over 2 billion monthly users and 500 million daily users. Especially if your company sells (or plans to sell) internationally, getting on WhatsApp is a great way to meet customers where they are.
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The app’s global reach is due to a few key benefits for users:
📚 Related reading: Interested in creating new communication channels with customers? Learn how to provide customer support on Instagram and Facebook Messenger.
WhatsApp isn’t just the most popular messaging app, it’s the fastest growing. Especially since getting acquired by Meta, WhatsApp continues to release new features — many of which are especially helpful for customer communication:
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📚 Recommended reading: Learn how to make the most of your customer support messaging (including SMS, live chat, and WhatsApp) with our ultimate guide.
WhatsApp was built using end-to-end encryption, which protects all communication on its platform. The encryption helps prevent third parties from accessing content in calls or messages. WhatsApp themselves can’t even access the data.
Like many other social communication tools, WhatsApp also offers account verification badges for businesses. With a verified badge on your WhatsApp Business profile, you earn trust with your customers and stand apart from fraud accounts.
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If you’d like to offer WhatsApp customer support, here’s a simple guide to getting started and making the most of your new channel.
If you’re just getting started with WhatsApp, you’ll need to download the WhatsApp Business app. Once you download the app, you’ll need to review the terms of service, allow access to contacts and photos, and fill out your account.
The app walks you through basic setup, so we son’t go into much detail here. However, here’s a helpful video you can follow to help you get started:
Once you’ve set up your WhatsApp Business account, it’s time to start customizing your brand’s profile.
Throughout this process, imbue your profile with some brand-friendly copy and images. Just be sure to remain clear about who you are and what you do.
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We left out one key section: Hours. But that’s an important enough step for customer service to warrant its own section — find it right below this one.
📚 Related reading: Read the ultimate guide to social commerce to learn how to sell directly on social media platforms like Instagram and Facebook.
The Hours section of your business profile has two potential uses:
The first option (for local businesses) is straightforward, so we’ll continue discussing how online businesses should use this section of their WhatsApp profile. Ideally, you can give your shoppers around-the-clock support. But that’s not possible for every business — in that case, you want to be very clear about when you’re available.
The hours section can help set customer expectations around your availability. Consider setting hours based around when your team is ready to provide customer care on WhatsApp. Even better, consider using part of your business description to share expected first response times so customers know how long they typically have to wait for a response.
You can even set up an automated away message to let customers know when they send a message while you’re away, setting the expectation that you may take longer than usual to reply.
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While they’re not using WhatsApp, you can take inspiration from Berkey Filters, a water filter brand that does an excellent job of setting clear customer expectation for their live messaging channels:
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📚 Recommended reading: Read the ultimate guide to customer service policies to give your team the processes it needs for fast, consistent responses.
Offering WhatsApp doesn’t mean spending your day checking the WhatsApp app, or opening WhatsApp whenever you get a notification. To stay efficient, integrate WhatsApp into your heldpesk.
When you integrate WhatsApp with your helpdesk, you can send and receive WhatsApp messages from the same app you use to answer customer messages from email, SMS, social media, and others channel you use for customer interactions.
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Your customer care team can keep up with customer queries from all your channels, plus access unique features including (but not limited to):
🛍️ Shopping for a helpdesk? Check out our list of the best helpdesk software on the market. If you’re an ecommerce brand on Shopify, check out our list of the best helpdesk for Shopify stores.
If you integrate WhatsApp with a helpdesk, you can automatically send responses to your most common questions. This has two major benefits:
For example, if you’re an ecommerce company, you likely receive a lot of customer inquiries about order status updates — called “where is my order” (WISMO) requests. On average, order status updates account for 18% of incoming customer questions, according to Gorgias data.
If you integrate WhatsApp with a helpdesk like Gorgias, the software can recognize WISMO requests (and other common questions), apply a templated response, and pull customer-specific information from your ecommerce platform.
And again, order updates are just one example. With the right helpdesk, you can automate responses to most of your common questions so your support team can spend time on complex questions, angry customers, and other situations that need a human touch.
📚 Recommended reading: How to automatically answer WISMO requests to save time and improve customer experience.
Even when a message isn’t fully automated, you have a variety of tools in your arsenal to provide fast, personalized, and delightful customer service. Here are a few to keep in mind.
Your customer service team doesn’t need to write every message from scratch. Customer service templates can save your agents time by giving a baseline for them to tweak for each unique situation.
Plus, templates help you ensure you’re providing consistent, in-policy advice, which is especially helpful to reinforce customer service training.
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With WhatsApp, you can also set up Message Templates to proactively initiate conversations with customers. WhatsApp sets strict limits on these Message Templates: You must submit templates for approval from WhatsApp, and they can only be about select topics (like account alerts, shipping updates, and other issue resolutions). You cannot proactively send marketing messages to customers.
If you use Gorgias, you can now submit Message Templates for approval from WhatsApp and send these proactive messages to your customers.
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You can attach images, GIFs, videos, PDFs, and other files to WhatsApp messages. In a customer service context, this allows customers can show you pictures or videos of a product malfunction, and lets your team share images and videos to help customers troubleshoot.
With the right WhatsApp integrations you can even send WhatsApp marketing and order confirmation emails with interactive buttons. For example, WebEngage lets you send product confirmation messages with easy-to-click buttons to track packages or contact your team:
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By the way, the Gorgias team is hard at work making more types of rich messages like these, such as sending automated order confirmation messages and interactive review requests. You can look out for updates in our product roadmap.
When you’re providing customer service — regardless of channel — a best practice is to consider the entire customer context before writing a response:
The list goes on (and on and on).
If you’re responding directly in WhatsApp, you’ll have to dig around a tall stack of apps to find this information: your ecommerce platform, your subscription app, your reviews app, and so on. Over the course of a day, this can eat up a ton of your team’s time.
If you use a helpdesk like Gorgias, however, you’ll have the customer’s entire order and conversation right next to the WhatsApp chat window.
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Plus, you can integrate Gorgias with other ecommerce apps (like Klaviyo, Yotpo, Recharge, and so on) to see even more customer information before responding.
One of the last tools in your kit is Whatsapp chatbots. Chatbots can be a great way to scale your customer support with a small team — however, they usually come at a cost.
Most chatbots are decent at very simple requests, but quickly provide frustrating experiences when customers ask use unusual wording or ask complex questions. And nothing is more frustrating than unhelpful service from a chatbot that tries to convince you its human.
If you want to use a chatbot, consider a tool like Ada. For best results, integrate Ada with Gorgias to also providing efficient human service and a strong customer experience.
When customers reach out to your brand, a clock starts ticking. For the first 24 hours, you can respond to the message however you’d like — the clock resets whenever the customer sends another message. But if 24 hours passes after the latest message, you can only respond with templates that WhatsApp must approve.
While you never want to make customers wait, this 24-hour window is additional incentive to set up an efficient system to respond to customer support inquiries that come through WhatsApp.
📚 Recommended reading: Our tips to improve customer service response times (so you don’t miss the 24-hour WhatsApp window).
Once you start offering customer service on WhatsApp, set up a system to monitor key customer support metrics. This helps you determine what you’re doing well, how you’re falling short, and where to focus on improving your customer service.
Most customer service software will track a wide range of support metrics with helpful graphs to visualize your performance. However, if you can only track a few metrics, start with:
📚 Recommended reading: Read our VP of Success and Support’s guide to evaluating the performance of your customer support program.
WhatsApp can be a great way to expand your customer care — and with the right tools, your team can be an efficient channel within your customer service strategy.
To get the most out of WhatsApp Business, consider pairing it with a customer service platform like Gorgias. Built exclusively for ecommerce, Gorgias centralizes your team’s support channels like live chat, email, social media, SMS into a single easy-to-use dashboard.
If you’re in the ecommerce industry, you’ve been on a major roller-coaster ride over the last three years:
The loopy ride is far from over. As you already know, this year will bring its own highs, lows, twists, and turns. To help you understand how the industry is evolving, we spoke with ecommerce experts to forecast the top 11 ecommerce trends for 2023:
During our talks, it became clear that in 2023, the pendulum will continue swinging from acquisition to retention (for real this time), and brands will pivot away from rapid growth and toward sustainable profitability. Watch the video highlighting two top trends, or scroll down for the complete list:
2023 is the year retention becomes a true priority for online stores.
You’ve probably heard this story before. Retention has been a trendy term for years. But for many merchants, creating a retention strategy is like going to the dentist twice a year — everyone knows it’s important but not enough people actually do it.
You can see this lack of true commitment in Yotpo’s recent survey on the state of ecommerce retention. The survey showed that over 40% of online stores didn’t make any changes to improve retention in 2022 (despite 52% saying they were more focused on retention than they were in 2021).
But this year, the combination of rising customer acquisition costs (CAC), uncertain economic times, and tightening budgets will force brands to prioritize retention on the same level as acquisition.
George Walsh, Content Marketing Manager at LoyaltyLion, agrees that brands can no longer treat retention as a theoretical in 2023:
“Next year, we’re going to see more ecommerce businesses move away from acquisition and work harder to retain their existing customers during these economically trying times. Consumers are being pickier with their purchases as cash simply isn’t stretching as far, so brands will have to work harder to prove their value. Businesses themselves are also having to navigate smaller budgets, so with customer acquisition prices soaring, it makes sense to switch the focus towards existing customers.”
— George Walsh, Content Marketing Manager at LoyaltyLion
In other words, it’s time to start flossing — online merchants won’t be able to avoid the dentist in 2023.
📚Recommended reading: Our CX-Driven Growth Playbook has lots of insights on the importance of retention, as well as specific tactics for turning one-time buyers into repeat shoppers.
The same dynamics that push brands to take retention seriously — rising CAC, recession fears, and tightening wallets — will lead to closer focus on profitability (instead of growth at all costs).
Prepare for some major edits to the classic direct-to-consumer (DTC) playbook popularized by the likes of Warby Parker, Dollar Shave Club, and Allbirds. These brands grew incredibly fast by pouring tons of money into performance marketing, generating hype, and offering lucrative deals for online shoppers.
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Then, customer acquisition was the North Star, even if it meant operating at a loss for years. Today, very few brands have that luxury.
The precarious global economy means the end of cheap capital to sustain unprofitable business models. Couple that with a constant rise in digital advertising costs, and many ecommerce stores will find that profitability is the sole path to survival as a business.
That’s why Jeremy Horowitz, Senior Partner Marketing Manager at Gorgias, believes merchants should get serious about their profitability goals in 2023:
“Start setting Net Profit goals yesterday. 2023 will be marked by survival, not top-line YoY % growth. Know your Sales, COGs, Marketing costs, and how much you need to make to pay your team and yourself. Get honest about the ad spend you can actually afford. And get creative about how you’ll earn enough sales to turn a profit.”
— Jeremy Horowitz, Senior Partner Marketing Manager at Gorgias
As the search for profitability takes center stage, more brands will start testing subscriptions as a new, consistent revenue source.
Subscriptions can be the most direct path toward profitability because they help online stores:
To cut to the bottom line, Recharge’s 2022 Subscription Commerce Report shows that 42% of subscribed customers stick with a company for at least a year after the initial purchase, compared to only 1% of non-subscription customers:
Ryan Kodzik, Founder & Chief Creative Officer at Future Holidays, also believes that subscriptions will be a big weapon for online stores in 2023:
“The traditional ecommerce business model relies heavily on one-time customers. But research suggests that this is about to change. Subscriptions were one of our trends to follow for 2022, and they’ve only become more significant since.”
— Ryan Kodzik, Founder & Chief Creative Officer at Future Holidays
When done right, live chat and chatbots provide great on-site conversion opportunities. They recreate the immediate sales interactions of in-person shopping, delight buyers with immediate support, and gather first-party data. That’s why we believe a lot more brands will start using live chat as a key owned marketing channel in 2023.
Now, it’s worth noting that most merchants still think of live chat as a way to provide customer support in real-time. This is an important use case, but it’s only the tip of the iceberg.
Bri Christiano, Director of Support at Gorgias, knows that live chat can also be a great way to recreate some of the best elements of in-store shopping:
“A chat widget can be a great tool to unblock the sales process, both through proactive outreach and self-service functionality. When it comes to proactive outreach, you can set up automated chat campaigns to reach out to shoppers on your ecommerce site. You can:
- Offer a product quiz
- Ask if shoppers have questions
- Share a limited-time discount
- Direct them to best-selling collections
- Make new product recommendations
- Remind them about your free shipping policy
- Explain which payment methods you accept, like credit card, cash on delivery, Apple Pay, PayPal, etc.”
— Bri Christiano, Director of Support at Gorgias
Traditional marketing channels like social media or search engines focus on getting people to your site. But if those visitors don’t make a purchase, you’re earning nothing on your marketing investment.
It’s like spending all your money on a beautiful storefront, but not staffing anyone in the physical store to help the shopper. When they can’t find help, they’ll quickly heel-turn and walk back out the door.
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That’s why live chat’s ability to increase conversion rates is so valuable.
Allen Burt, Founder and CEO at Blue Stout brilliantly sums up the importance of conversions over traffic:
“Most brands don't realize how increasing conversion rates affect profitability. To compare, if you increase your traffic through paid ads by 10%, your profit margin actually goes down on each sale (because ads are increasingly more expensive as you scale). Conversely, if you increase revenue 10% via a conversion rate increase of 10%, profitability goes up far more than 10%, since those sales didn't require any additional ad spend.”
— Allen Burt, Founder and CEO at Blue Stout
Live chat ensures you’re actually taking care of your traffic and potential customers by answering their questions, giving them useful self-serve resources (e.g., FAQs about shipping or payment options), and finding new ways to nudge them toward a sale.
For example, Jaxxon saw a 6% increase in conversions and a 46% revenue boost by creating engaging live chat campaigns, including one to offer VIP-level support to people browsing premium products:
Just imagine how much more sales you can also drive with a simple automated message to all visitors like “Spend $50 for free worldwide shipping!” or “All orders over $100 get a 10% discount!”.
Put simply, live chat can help you make the most out of our website traffic.
📚 Recommended reading: Learn how Jaxxon boosted revenue by 46% with Gorgias live chat and self-service.
Live commerce, the shopping format pioneered back in the 1970s (throwback to QVC!), has made a big comeback thanks to the livestreaming functionality of modern social media apps. While its popularity has been mostly limited to China, 2023 could be the year where live shopping takes over the Western Hemisphere.
Klarna’s latest Shopping Pulse report shows that 1 in 4 Gen’Zers from the UK, US, France, and other western countries have already participated in a live shopping event.
Plus, Coresight Research estimates that livestream ecommerce penetration in the US will more than 5x between 2020 and 2026.
Our partners at Coalition Technologies also believe live commerce will be one of the biggest stories of 2023:
“A billion-dollar industry in China and growing in popularity worldwide, live commerce is forecasted to reach $35 billion in sales by 2024 in the U.S. And this is not solely through social media — ecommerce giants like Amazon, eBay, and Walmart are taking advantage of this “social buying” phenomenon by adding livestream shopping to their platforms.”
— Our partners at Coalition Technologies
In 2023, we’ll continue to see the rise of social commerce, which allows shoppers to buy directly on social media apps. Brands will pivot away from social ads and toward social commerce to avoid rising ad costs and find new ways to differentiate themselves.
Besides being cheaper, social commerce also simplifies the buyer experience. It allows product discovery, research, and checkout to all take place on a social media platform (usually Instagram or TikTok), reducing the friction in the customer journey, especially for people on mobile devices.
This is in stark contrast to social advertising, which relies on people clicking on ads, leaving their social media app, and going to an external ecommerce website.
Like live commerce, social commerce also started in China, but the US is quickly catching on.
McKinsey predicts that social sales will form 4.7% of all US retail ecommerce sales in 2023, with that figure projected to go up to 5.2% in 2025. Globally, the social commerce market is also expected to grow to more than $2 trillion by 2025.
The boom in online sales during the COVID-19 pandemic created lots of competition for established merchants. As a result, many brands started selling globally and this trend will only accelerate in 2023.
Juniper Research showed that the value of cross-border ecommerce will exceed $2.1 trillion in 2023, from $1.9 trillion in 2022. Additionally, ShipBob’s 2022 State of Fulfillment Report found that nearly 32% of brands plan to fulfill orders in a new country.
Kristina Lopienski, Director of Content Marketing at ShipBob, also confirmed that more and more merchants are looking to sell abroad:
“With high competition and potentially reduced consumer spending in local markets, many brands are looking across borders for customers who are interested in their products. ShipBob’s 2022 State of Fulfillment Report found that 56% of brands planned to expand cross-border offerings this year (of which, 32% planned to start physically fulfilling orders in new countries in 2022).”
— Kristina Lopienski, Director of Content Marketing at ShipBob
This year, personalization will go from a nice-to-have to a must for online stores.
You’ve heard this one before, too. But in 2023, merchants will have a much bigger incentive to double down on personalization.
The more personalized an experience, the higher the chance of converting visitors into buyers. The higher your conversion rates, the more you get out of your marketing spend. This leads to better profit margins, which, alongside retention, is the mother of all goals in 2023.
Plus, there’s ample data to show that customers value personalized experiences, while online stores don’t do a great job of delivering them.
According to Segment’s 2022 State of Personalization Report, 49% of all customers say they’ll likely become repeat buyers after a personalized shopping experience. Yet, only 35% of companies feel they’re successfully achieving omnichannel personalization.
Arjun Jolly, COO at adQuadrant, also explains that personalization is now an expectation rather than a bonus in the eyes of customers:
“71% of consumers expect personalization and 76% are disappointed when they don’t receive it, so it’s becoming incumbent upon brands to deliver from awareness through to conversion and loyalty.”
— Arjun Jolly, COO at adQuadrant
However, today’s brands can’t rely on yesterday’s main personalization weapon — third-party customer data. The value of third-party data has decayed due to:
That’s why the foundation for successful personalization in 2023 will be zero- and first-party data gathered directly from visitors and buyers and stored in a CRM-like tool.
Brands will need to focus on the old-fashioned way of uncovering what their customers want — talking to them (via surveys or live chat, for example).
Like Alex McPeak, Content Marketing Manager at Klaviyo, says:
“As brands throw out the old DTC playbook, and instead come to recognize the importance of really knowing and understanding what drives their customers, there’s going to be a renewed focus on talking to customers, gathering data and insights, and applying that knowledge to brands’ marketing strategies moving forward.”
— Alex McPeak, Content Marketing Manager at Klaviyo
This year, we may finally see AR become a staple in online shopping. Of course, technologies like virtual reality (VR) and artificial intelligence also deserve a mention here, but 2023 feels like the year of AR, especially as virtual try-ons gain popularity.
Here’s why:
According to Statista, 110 million users in the US will use AR at least once per month in 2023, up from 83.7 million in 2020. This is a big increase, especially compared to VR, which hasn’t fared nearly as well.
This increase in usage coincides with a year in which brands must be laser-focused on delivering a great user experience.
Additionally, popular ecommerce platforms and marketplaces are already using AR. For example, Amazon uses AR to improve the mobile shopping experience by letting visitors see how furniture would look in their room — a big advantage over shopping in a brick-and-mortar store.
Arjun Jolly, COO at adQuadrant, also believes 2023 is the year AR goes viral:
“AR has been trending for some time, but it’s yet to really hit the mainstream. We think 2023 is the year it finally happens.
While entry into the VR world will set a user back at least $1,500 (for the headpiece/goggles), most adults in the U.S. are already prepared to use AR via their smartphones.
We’re already seeing mass adoption from marketers in the make-up and furniture spaces with a sprinkling of auto and retailers for good measure. And, while the metaverse is busy trying to get off the ground, AR offers users the ability to truly blend, and benefit from, real and digital worlds.”
— Arjun Jolly, COO at adQuadrant
It’s no secret that sustainability already plays a big role in forming shopping habits, especially among millennial and Gen Z consumers. While this is a well-established trend, we decided to include it as it will continue to grow in 2023.
Talkwalker and Khoros’s Social Media Trends Report shows that 2023 will see brands focused on sustainability take a larger share of the market. At the same time, shoppers continue to emphasize the importance of sustainability, with 82% wanting companies to put people and the planet before profit.
According to Ryan Kodzik, Founder & Chief Creative Officer at Future Holidays, the biggest sustainability initiatives this year will be focused on packing waste and shipping options:
“Remember when “eco-friendly” was just a marketing buzzword? Today, it’s become an opportunity to build a unique value proposition for your online store. Sustainable ecommerce makes good business sense. From more sustainable products to reducing packaging waste and better shipping options, steps taken now can reap significant rewards in 2023 and beyond.”
— Ryan Kodzik, Founder & Chief Creative Officer at Future Holidays
McKinsey even calls packing sustainability a “megatrend” prompted by consumer sentiment and tighter regulations across the world.
All this talk of recessions, smaller budgets, and consumer uncertainty can paint a pretty grim picture of 2023.
Fortunately, we also have some great news — the growth trajectory will pick back up after the stabilization of 2022 and we’ll see an increase in global ecommerce revenue and growth rates.
Statista’s research estimates that online retailers will grow their sales to $6.3 trillion in 2023, compared to $5.7 trillion in 2022. This figure is projected to go as high as $8.1 trillion in 2026, which would mark a 56% increase from 2021.
Source: Statista
Statista also predicts this growth will vary across the globe. China, the current ecommerce leader, is projected to grow its ecommerce sales by only 15% between 2022 and 2025. The US and Europe are poised for up to 50% growth over the same period.
Additionally, Nicole Walker, Partner Marketing Manager at Loop, believes the share of all retail revenue that comes from ecommerce will continue to rise:
“Year-over-year growth may look similar to 2022, which is a far cry from the boom years of 2020 and 2021. But, the proportion of retail revenue that comes from ecommerce will continue to grow, thanks to the continued popularity of online shopping. And that’s great news for Shopify merchants – the opportunity to grow and expand is still very real.”
— Nicole Walker, Partner Marketing Manager at Loop
Despite the new challenges and opportunities for online merchants, the most important trends of 2023 won’t be exactly novel.
Yes, we know it’s more fun to talk about the impact of machine learning and other cutting-edge ecommerce solutions. These technologies will surely play a role, but on the whole 2023 will be marked by a renewed focus on the most fundamental concepts in the world of online commerce: retention, profitability, and customer experience.
Here are three things you can start doing today to stay ahead of the game:
Looking for help in 2023? Our Partnerships team has a wide network of agencies and tech tools ready to help ecommerce brands like yours achieve your growth goals. Answer a few questions (3-5 minutes) for hand-picked suggestions from our team:
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There are plenty of reasons your company might use Gorgias. For starters, it keeps your support team organized and efficient (and prevents your laptop from overheating from a million open tabs). But here at Chomps, one of our favorite things about Gorgias is how it helps us analyze tickets to improve our product, customer experience, and brand. Every. Single. Day.
I’m Zoe Kahn, the Sr. Associate of CX here at Chomps. We’re a better-for-you snack brand dedicated to serving the highest quality products and the best experiences to our consumers.
We’ve been using Gorgias for almost a year at Chomps. And at my last company, I switched our helpdesk to Gorgias (where I fell in love with the tool). Big-time Gorgias girlie here.
Below, I’ll show you how we use Gorgias to analyze tickets and surface insights that help us improve the Chomps brand. I hope you can steal some of these ideas to improve your product and brand, too.
Ticket analysis means studying customer support conversations to find the root of your customers’ most common frustrations. It’s how you evolve your product to delight customers and build a brand that people genuinely love.
Let’s back up to understand the kinds of insights we can learn. We all know that issues are inevitable, especially in the ecommerce world. Tons of things can go wrong, like:
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But even when things do go wrong, we want to make experiences seamless for our consumers. At its most basic, this means getting customers answers as fast as possible when they experience issues. But even better, it means being proactive about preventing future issues rather than constantly applying bandaids.
Ticket analysis is how you make all of this happen.
Every company approaches ticket analysis a little differently. At Chomps, ticket analysis helps us find patterns in support tickets and improve our products and processes. The end goal is more happy customers and a leaner support team — both of which hugely impact the business’s bottom line.
At Chomps, we use multiple tactics for ticket analysis, all based on the tools and dashboards Gorgias supplies. If you’re serious about ticket analysis, you’ll have the most success by first setting up a solid foundation within Gorgias.
Specifically, you’ll want to integrate all of your channels (email, SMS, live chat, and so on) and set up clear Views to keep your work organized.
Once you set your foundation, you’re ready to tag your support tickets. Tagging tickets — consistently and robustly — is the key to analyzing your frequent support issues and making high-impact decisions backed up by data.
At Chomps, we use three methods of tagging to keep track of our ticket trends:
To get Gorgias to start auto-tagging tickets for you, you’ll set up auto-tags based on your unique business and the kinds of inquiries you usually see. Here are some common tags we use at Chomps that you’ll probably need, too:
Let’s use my favorite priority folder as an example: the Urgent tag.
Auto-tagging is super relevant to most DTC businesses: It surfaces tickets that need immediate attention, such as order changes and address updates that need to be implemented before an order’s out the door.
This automation is incredibly useful, especially when you’re dealing with a high volume of tickets.
Here’s what our URGENT tagging rule looks like at Chomps:
Let’s look at the logic:
We use this tactic across a variety of areas — every single subject in our dropdown list auto-tags the ticket so we can route it correctly.
These tags — whether generated from the form or automatically applied based on keywords — allow us to assign priority and monitor the types of tickets we receive. These tags help us find common issues and inefficiencies and solve issues at the root.
Thanks to this urgent auto-tag Rule, we are more likely to update incorrect customer orders before they’re fulfilled by our warehouse. Since our warehouse team is speedy, if orders aren’t adjusted (almost) immediately, these requests get lost among all the non-urgent requests.
Not being able to prioritize correctly means we either lose money by honoring a replacement order or upset the customer.
The fixes don’t just apply to support operations, either: We’ve made changes to our website, fulfillment processes, marketing emails, and much more based on this kind of bulk ticket analysis.
📚 Related reading: See nine more Rule suggestions for auto-tagging your customer service requests.
We use tags to track ticket types and to understand the percentage of our total tickets that each topic makes up. Automation gets us most of the way there, but even Gorgias’s best-in-class language detection isn’t 100% perfect. Anyone who works in customer service knows that customers can use all kinds of different vocabulary to describe what they’re after.
At Chomps, every team member gets trained to check the tags on a ticket as soon as they start working on it. On top of that, no tickets should ever be closed without applying at least one tag.
Thanks to this vigilance, we have a lot of confidence in the data we’re using for ticket analysis. There’s no point in spending time analyzing support tickets if you think the data is bad, so it’s worth building these habits and processes. Future you will be thankful (and so will all your customers).
💡 Pro tip: If getting your team to check and apply tags is a challenge, you can set up a Rule that reopens untagged tickets or assigns them to a manager.
Macros are imperative for keeping an efficient and lean support team. But did you know you can also use macros to monitor inquiries, problems, and customer feedback?
I have a great example of this. At one point last year, we weren’t able to keep up with demand and many of our jerky stick flavors were going out of stock (a good problem to have, but still a problem).
We made efforts to proactively communicate supply issues, like back-in-stock notifications and keeping social media up to date with the available flavors. However, we’d still get an influx of consumers who wanted to know when exactly specific flavors would be back in stock.
Using Gorgias, I was able to set up Macros based on each unique flavor we offer and send these out to every customer who asked. It’s not all that creative, and most support teams and companies would stop there. We didn’t.
From there, I looked at our team’s Macro usage and reported back to the rest of the company weekly to share which flavors were requested the most. This analysis was crucial because at that time we had to pick and choose which flavors to produce.
We needed clarity on what our consumers really wanted — rolling the dice and gambling on random flavors would have made a bad situation worse. Specifically, we may have ended up with overstock on some flavors, and failed to stock up on flavors customers would actually try to order.
This is just one example. But these kinds of issues are things that pop up all the time when you work in customer service. Getting smart about your Macro creation and monitoring usage unlocks a whole new set of data your CX team can use to understand your customers.
You can analyze until you’re blue in the face, but if the outcome isn’t taking tangible action to improve your product, customer support, and brand, does it really matter?
Implementing changes based on your support ticket analysis is where the true brand improvement happens. You can’t do that without creating an impeccable feedback loop with key players across your company.
At Chomps, our CX team has recurring meetings with different parts of the team to share the results of our ongoing ticket analysis. Here are two regular meetings we use to share insights:
Each month, we have a meeting between our CX and Ops teams. This is where we go over product complaints, innovation requests, and order fulfillment hiccups.
We like to keep this meeting recurring instead of just doing it when there’s a fire to put out. It allows us to touch base on what’s coming in future months, putting us in a more proactive place. However, we’ll schedule additional meetings if we see an influx in complaints on a certain topic.
We structure the meetings around notable tickets with the following tags, all of which fall into our operations category:
Each month, we analyze the number of tags along with the number of times relevant Macros get used. We compare these to the previous month(s), keeping in mind the percentage of issues compared to sales.
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For example, if the Macro named “Fulfillment - Mis-ship - MISSING” is up 25%, we can reach out to the warehouse team and ask them to look into what might have happened. Maybe there’s a new team member who needs more training or maybe some bins have gotten mixed up. Stuff happens! Issues are inevitable, the trick is to find (and correct) them.
We get a ton of value out of analyzing complaints around things like taste and texture, as well as innovation requests. Our goal is to amplify the voices of our customers to help other teams throughout Chomps understand what matters to our customers, so we can give them what they want.
Each week, we discuss support tickets about sales, user experience, site bugs, and related topics with our Ecommerce team. They take the insights and apply improvements to our site.
For instance, this past summer, we had a “$10 off $49” promotion. Customers experienced confusion about the fact that they had to manually enter coupon codes, and didn’t always understand they needed to reach a $49 threshold for the code to work.
Below is a clipping from an old promo email we sent out for a sale. Customers had to use the code at checkout and ensure the order was over $49. This initially seemed like no big deal to us. But every extra step or stipulation you give the customer is a barrier to conversion.
These are “issues'' we didn’t think of before launching the promotion, but customers wrote in when they experienced these issues. We received emails saying, “I forgot my coupon code,” and noticed conversions decreased. We wondered if it was perhaps because we didn’t provide examples of how to get to the $49 threshold and didn’t offer any “help” at checkout, or examples in the emails.
We were able to improve our promotions in the future thanks to ticket and Macro analysis.
In promotions we’ve held since then, we’ve:
We also do a better job of showing the types of discounts customers can receive right on the website, in the flow of shopping:
We also installed a Shopify app that helps guide customers to discounts in their cart — for example, a clear indication of how to unlock free shipping. This helps us increase conversions and average order value (AOV) and decrease customer frustrations and confusion. A win-win for Chomps and our lovely consumers!
Without analyzing these support tickets, we would probably be making the same mistakes over and over again, losing out on sales while frustrating our consumers at the same time.
This last suggestion isn’t exactly a step in the process. But it’s something to keep in mind as you share customer feedback with your team: Take advantage of the fact that Gorgias allows unlimited seats.
During our new employee onboarding (for all positions at Chomps), we teach new hires how to use the Gorgias platform. They also get to spend a couple days “on the desk,” handling tickets in Gorgias. This is helpful for team onboarding, plus it means we don’t have to hire additional outside help or sacrifice our average response times during peak seasons. We simply grab internal volunteers to help!
This also helps with analyzing issues: Oftentimes, Chomps volunteers from other teams have different insights and can spot issues that we CX folks might not have noticed. For instance, Alexa from our ecommerce team has helped out a few times, and here’s what she told me about using Gorgias:
“As a non-CX'r, Gorgias has made helping out the CX team so much easier. The platform is intuitive. And because our team has built out many Macros, I can easily answer common questions and concerns. Although I'm not on the platform every day, I can toggle between open and closed tickets if I need to reference an old situation and get up to speed quickly and efficiently.”
Gorgias includes all kinds of tools to help us analyze our support tickets at Chomps. This analysis has tons of impacts:
At Chomps, we love to connect with and build relationships with our consumers. We think it’s part of what makes for an exceptional brand. It’s how you get loyal customers. But you can’t do this when your CX team is bogged down with tickets or your product is rife with issues.
Ticket analysis is the secret sauce that uncovers issues so you can focus on delivering exceptional experiences, over and over and over.
Want to keep learning from other Gorgias power users? Check out our recent webinar with jewelry brand Jaxxon. They share how they prepare for peak season and set up customer experiences that drives sales instead of repetitive tickets.
Quick summary:
A lack of proactive communication and resources from businesses largely causes WISMO. The best way to reduce WISMO is to provide self-service resources like a chat widget with automated responses and a shipping policy page allowing customers to track orders and find solutions.
WISMO (where is my order?) is the most common question in ecommerce, accounting for 18% of incoming requests on average, according to Gorgias data.
While WISMO requests are common, too many of them signal an un-optimized customer experience and cause real consequences:
By developing a strategic plan to manage WISMO requests that includes automation and self-service resources, ecommerce businesses can cure overflowing inboxes and provide better customer experiences.
Below, learn how to develop your own strategy to stop WISMO requests before they ever turn into support tickets.
WISMO is an acronym that stands for “Where is my order?” It’s a common question customers often ask after making a purchase.
The answer to this question depends on the status of the customer’s order:
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WISMO queries can look like…
A customer may reach out to you with a WISMO inquiry via phone, email, SMS, live chat, chatbot, or social media (direct message or through post comments). However, customers tend to reach out only if:
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The moment a new customer clicks “Submit” on a checkout page, they’ll start thinking (a lot) about their order. According to Forbes, the average customer checks the status of their order 4.6 times.
If a customer doesn’t hear anything about their order from you or has to wait too long for an update, they’ll likely get anxious and send you a WISMO request.
Apart from that, there are additional reasons you should pay attention to WISMO calls:
A surge in WISMO requests is a result of both internal and external factors, primarily rooted in a lack of communication and insufficient systems. Here are four internal and external causes to help you address and mitigate WISMO tickets.
Addressing the internal causes of WISMO tickets is crucial if you're looking to enhance your order tracking and customer communication processes. Here are two key internal reasons for WISMO tickets:
External factors are often beyond your business' direct control but can be managed through proactive measures. Here are some external reasons for WISMO tickets:
When you identify both the internal and external causes of WISMO inquiries, you can take proactive steps to decrease their occurrence and improve the overall customer experience.
Most ecommerce merchants are aware of WISMO and the support costs associated with handling tickets, but not all of them understand the true cost of leaving all WISMO requests to a human.
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When customers send WISMO requests to your human team, you’ll end up paying the most due to the cost of a human agent searching for the answer and responding manually. In this case, you’ll have to pay for the price of one ticket and customer support agent labor, which comes out to an estimated $12.
Here’s the math:
Imagine you have 1,000 orders per month and receive 150 WISMO requests. Each month, you’re paying $1,860 (150*$12.40) just to answer questions about order status.
Additionally, a queue full of WISMO tickets also means your team has less bandwidth and time to respond to frustrated customer emails and resolve priority tickets (like pre-sales questions or questions from VIP customers).
Let’s say you’ve created an automated response for WISMO in Gorgias using a Rule, or an automatic reply with a helpdesk like Gorgias. When a customer asks, “Where is my order?,” they’ll receive an automatic answer with personalized details about their order status without any human intervention.
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In this case, what WISMO request costs you is the price of one billable ticket in your Gorgias helpdesk, which is between $0.18 and $0.40, depending on your plan.
Most brands wince at the words “automated answer,” and for good reason. Some brands overuse automation, providing a frustrating customer experience. But customers would much rather have this information instantly available than wait for a “human touch.” And if your human agents spend all their time on these simple questions, they won’t have time or energy for tickets that actually need a human touch.
Jewelry brand Jaxxon has found success implementing automation into its customer support:
“I was very apprehensive about using automation, but we're really liking it! I've tested it out myself as if I'm a customer, and it's really a smooth process.”
— Caela Castillo, Director of Customer Experience at Jaxxon
This is the cheapest option for your business and the most convenient option for your customers.
When you’re able to deflect WISMO queries with self-service, your cost will be $0! If you can direct people to real-time order tracking in your chat widget, Help Center, or FAQ page, you ensure that customers get an answer before a ticket gets created and your support team can focus on the people with more complicated issues.
Check out this video to learn how to provide order tracking (and more) in chat to customers with the Gorgias Automate product:
But wait, is automating responses good for CX?
When people ask for a status update on an order, they’re looking for a simple information exchange — not friendly conversation. Most likely they’re looking for an immediate answer without having to type up an email and wait for a response.
If your agents are busy responding to simple WISMO tickets, they won’t be available to provide the human touch on tickets that actually need it. Plus, customers can always ask follow-up questions via email, chat, or phone if they really need more information.
Most customers send in a WISMO inquiry because they’re concerned about their order. The best thing that customer service teams can do to reduce the number of these requests is to provide order status information proactively.
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In Gorgias, you can enable the self-service portal feature on your chat widget and Help Center to quickly resolve WISMO requests. This feature allows your customers to check their order status, package tracking number, and shipping details on their own. They can also request a cancellation or return, and report issues about their order — all without having to type up a message.
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This strategy has proven effective for the Jaxxon team. “Chat used to be a support tool for repetitive questions and problem solving,” says Caela. “But now self-service takes care of that for us. Within a month of launching self-service, we’ve seen that our live chat (billable chat tickets) went down by 17%.”
Businesses can also provide this self-service order tracking via a help center. For example, shoe brand ALOHAS offers a “Manage your orders” section at the top of its help center with Gorgias.
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Check out this tutorial to learn how to install this feature for your helpdesk.
Just showing delivery estimates on your website isn’t enough. You should also keep customers posted on their order fulfillment status at each post-purchase stage to ensure a smooth delivery process and a positive delivery experience. You can automate delivery update emails within Shopify if you have a Shopify store.
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Start with these:
📚 Read more about how to optimize your customer experience to deflect WISMO tickets and generate revenue.
If customers do send you a message about the status of their order, they expect a quick response from you. To fulfill their expectation, you can accelerate your responsiveness by using customer service automation to deliver an immediate response.
In Gorgias, you can create automated responses for WISMO requests no matter if order tracking is available or not. Here’s how:
Step 1: Go to Settings > Rules > click Create a new rule that will send an automated response to your customer.
Step 2: Do the following:
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Step 3:
Hey {{customer first name}},
Get excited! Your order {{number of last order}} is on its way to <address 1, address 2, Zip code, city, province>.
Here is the latest: {{ Tracking URL of last order }}
{{ Tracking number of last order }}
Let us know if you have any other questions.
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Step 4: Click Save rule and activate the rule.
Sometimes, the delivery status for orders on the order status page hasn’t been updated. Reasons can be you haven’t shipped the order yet, or your courier doesn’t support real-time tracking.
In this case, you can create the following rule to send an automated answer to your customer’s WISMO request.
Step 1: Go to Settings > Rules > click Create a new rule that will send an automated response to your customer.
Step 2: Do the following:
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Step 3:
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Your answer can be like this:
Hey [customer first name],
Working hard to fulfill your order, please check here for now: .
Here’s your order number .
Keep an eye on a tracking email soon!
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Step 4: Click Save rule and activate the rule.
If you subscribe to the Automate product, you’ll get access to autoresponders managed by the Gorgias team, so you won’t have to set these Rules up yourself:
A clear shipping policy helps you proactively set the right customer expectations around shipping times and costs. It’s also useful to reduce support tickets because customers can find the answers to their shipping questions themselves.
When you maintain an open dialogue with customers, you give them more confidence to buy from you. They’ll trust you, talk about you on social media, and keep coming back to your store.
Your shipping policy should include information about order processing time, estimated delivery time, potential service interruptions, and disclaimer. You can display this policy on product detail pages, cart pages, FAQs page, or help center, for example:
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Since the wake of the Covid-19 pandemic and supply chain issues, many online stores have set up a dedicated page for showing how they’re handling shipping. They also inform shoppers by displaying the information on a website announcement bar or popup.
Here’s an excellent example from Go-To Skincare:
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You should also always link to an order tracking portal within all order confirmation emails so that customers can self-serve checking in on order status.
And, as an alternative to sharing the order number front and center in the confirmation email, consider putting “track order” that links to your self-service order tracking portal. You should still share the order number, but provide an even more prominent call to action to track orders on your website rather than your carrier's (like FedEx or USPS).
Proactively solving for WISMO requests with automation and self-service can help you reduce customer service costs, increase customer satisfaction, and improve your support agents’ performance. That was the case for the ALOHAS team.
“Since we started to fully leverage Automate, overall, 56% of chat tickets are handled by self-service.”
— Annalisa Micalizzi, Manager of Global Customer Service at ALOHAS
Once agents are, they can start reaching out to live shoppers to unblock sales, proactively DM customers to bring social traffic to the website, or a myriad of other revenue-boosting CX activities.
Ready to outgrow WISMO with Gorgias? Claim your demo or start a free trial.
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