

TL;DR:
Conversational commerce finally has a scoreboard.
For years, CX leaders knew support conversations mattered, they just couldn’t prove how much. Conversations lived in that gray area of ecommerce where shoppers got answers, agents did their best, and everyone agreed the channel was “important”…
But tying those interactions back to actual revenue? Nearly impossible.
Fast forward to today, and everything has changed.
Real-time conversations — whether handled by a human agent or powered by AI — now leave a measurable footprint across the entire customer journey. You can see how many conversations directly influenced a purchase.
In other words, conversational commerce is finally something CX teams can measure, optimize, and scale with confidence.
If you want to prove the value of your CX strategy to your CFO, your marketing team, or your CEO, you need data, not anecdotes.
Leadership isn’t swayed by “We think conversations help shoppers.” They want to see the receipts. They want to know exactly how interactions influence revenue, which conversations drive conversion, and where AI meaningfully reduces workload without sacrificing quality.
That’s why conversational commerce metrics matter now more than ever. This gives CX leaders a way to:
These metrics let you track impact with clarity and confidence.
And once you can measure it, you can build a stronger case for deeper investment in conversational tools and strategy.
So, what exactly should CX teams be measuring?
While conversational commerce touches every part of the customer journey, the most meaningful insights fall into four core categories:
Let’s dive into each.
If you want to understand how well your conversational commerce strategy is working, automation performance is the first place to look. These metrics reveal how effectively AI is resolving shopper needs, reducing ticket volume, and stepping into revenue-driving conversations at scale.
The two most foundational metrics?
Resolution rate measures how many conversations your AI handles from start to finish without needing a human to take over. On paper, high resolution rates sound like a guaranteed win. It suggests your AI is handling product questions, sizing concerns, shade matching, order guidance, and more — all without adding to your team’s workload.
But a high resolution rate doesn’t automatically mean your AI is performing well.
Yes, the ticket was “resolved,” but was the customer actually helped? Was the answer accurate? Did the shopper leave satisfied or frustrated?
This is where quality assurance becomes essential. Your AI should be resolving tickets accurately and helpfully, not simply checking boxes.
At its best, a strong resolution rate signals that your AI is:
When resolution rate quality goes up, so does revenue influence.
You can see this clearly with beauty brands, where accuracy matters enormously. bareMinerals, for example, used to receive a flood of shade-matching questions. Everything from “Which concealer matches my undertone?” to “This foundation shade was discontinued; what’s the closest match?”
Before AI, these questions required well-trained agents and often created inconsistencies depending on who answered.
Once they introduced Shopping Assistant, resolution rate suddenly became more meaningful. AI wasn’t just closing tickets; it was giving smarter, more confident recommendations than many agents could deliver at scale, especially after hours.

That accuracy paid off.
AI-influenced purchases at bareMinerals had zero returns in the first 30 days because customers were finally getting the right shade the first time.
That’s the difference between “resolved” and resolved well.
The zero-touch ticket rate measures something slightly different: the percentage of conversations AI manages entirely on its own, without ever being escalated to an agent.
This metric is a direct lens into:
More importantly, deflection widens the funnel for more revenue-driven conversations.
When AI deflects more inbound questions, your support team can focus on conversations that truly require human expertise, including returns exceptions, escalations, VIP shoppers, and emotionally sensitive interactions.
Brands with strong deflection rates typically see:
If automation metrics tell you how well your AI is working, conversion and revenue metrics tell you how well it’s selling.
This category is where conversational commerce really proves its value because it shows the direct financial impact of every human- or AI-led interaction.
Chat conversion rate measures the percentage of conversations that end in a purchase, and it’s one of the clearest indicators of whether your conversational strategy is influencing shopper decisions.
A strong CVR tells you that conversations are:
You see this clearly with brands selling technical or performance-driven products.
Outdoor apparel shoppers, for example, don’t just need “a jacket” — they need to know which jacket will hold up in specific temperatures, conditions, or terrains. A well-trained AI can step into that moment and convert uncertainty into action.
Arc’teryx saw this firsthand.

Once Shopping Assistant started handling their high-intent pre-purchase questions, their chat conversion rate jumped dramatically — from 4% to 7%. A 75% lift.
That’s what happens when shoppers finally get the expert guidance they’ve been searching for.
Not every shopper buys the moment they finish a chat. Some take a few hours. Some need a day or two. Some want to compare specs or read reviews before committing.
GMV influenced captures this “tail effect” by tracking revenue within 1–3 days of a conversation.
It’s especially powerful for:
In Arc’teryx’s case, shoppers often take time to confirm they’re choosing the right technical gear.
Yet even with that natural pause in behavior, Shopping Assistant still influenced 3.7% of all revenue, not by forcing instant decisions, but by providing the clarity people needed to make the right one.
This metric looks at the average order value of shoppers who engage in a conversation versus those who don’t.
If the conversational AOV is higher, it means your AI or agents are educating customers in ways that naturally expand the cart.
Examples of AOV-lifting conversations include:
When conversations are done well, AOV increases not because shoppers are being upsold, but because they’re being guided.
ROI compares the revenue generated by conversational AI to the cost of the tool itself — in short, this is the number that turns heads in boardrooms.
Strong ROI shows that your AI:
When ROI looks like that, AI stops being a “tool” and starts being an undeniable growth lever.
Related: The hidden power and ROI of automated customer support
Not every metric in conversational commerce is a final outcome. Some are early signals that show whether shoppers are interested, paying attention, and moving closer to a purchase.
These engagement metrics are especially valuable because they reveal why conversations convert, not just whether they do. When engagement goes up, conversion usually follows.
CTR measures the percentage of shoppers who click the product links shared during a conversation. It’s one of the cleanest leading indicators of buyer intent because it reflects a moment where curiosity turns into action.
If CTR is high, it’s a sign that:
In other words, CTR tells you which conversations are influencing shopping behavior.
And the connection between CTR and revenue is often tighter than teams expect.
Just look at what happened with Caitlyn Minimalist. When they began comparing the results of human-led conversations versus AI-assisted ones over a 90-day period, CTR became one of the clearest predictors of success. Their Shopping Assistant consistently drove meaningful engagement with its recommendations — an 18% click-through rate on the products it suggested.
That level of engagement translated directly into better outcomes:
When shoppers click, they’re moving deeper into the buying cycle. Strong CTR makes it easier to forecast conversion and understand how well your conversational flows are guiding shoppers toward the right products.

Discounting can be one of the fastest ways to nudge a shopper toward checkout, but it’s also one of the fastest ways to erode margins.
That’s why discount-related metrics matter so much in conversational commerce.
They show not just whether AI is using discounts, but how effectively those discounts are driving conversions.
This metric tracks how many discount codes or promotional offers your AI is sharing during conversations.
Ideally, discounts should be purposeful — timed to moments when a shopper hesitates or needs an extra nudge — not rolled out as a one-size-fits-all script. When you monitor “discounts offered,” you can ensure that incentives are being used as conversion tools, not crutches.
This visibility becomes particularly important at high-intent touchpoints, such as exit intent or cart recovery interactions, where a small incentive can meaningfully increase conversion if used correctly.
Offering a discount is one thing. Seeing whether customers use it is another.
A high “discounts applied” rate suggests:
A low usage rate tells a different story: Your team (or your AI) is discounting unnecessarily.
This metric alone often surprises brands. More often than not, CX teams discover they can discount less without hurting conversion, or that a non-discount incentive (like a relevant product recommendation) performs just as well.
Understanding this relationship helps teams tighten their promotional strategy, protect margins, and use discounts only where they actually drive incremental revenue.
Once you know which metrics matter, the next step is building a system that brings them together in one place.
Think of your conversational commerce scorecard as a decision-making engine — something that helps you understand performance at a glance, spot bottlenecks, optimize AI, and guide shoppers more effectively.
In Gorgias, you can customize your analytics dashboard to watch the metrics that matter most to your brand. This becomes the single source of truth for understanding how conversations influence revenue.
Here’s what a powerful dashboard unlocks:
Some parts of the customer journey are perfect for AI: repetitive questions, product education, sizing guidance, shade matching, order status checks.
Others still benefit from human support, like emotional conversations, complex troubleshooting, multi-item styling, or high-value VIP concerns.
Metrics like resolution rate, zero-touch ticket rate, and chat conversion rate show you exactly which is which.
When you track these consistently, you can:
For example, if AI handles 80% of sizing questions successfully but struggles with multi-item styling advice, that tells you where to invest in improving AI, and where human expertise should remain the default.
Metrics like CTR, CVR, and conversational AOV reveal the inner workings of shopper decision-making. They show which recommendations resonate, which don’t, and which messaging actually moves someone to purchase.
With these insights, CX teams can:
For instance, if shoppers repeatedly ask clarifying questions about a product’s material or fit, that’s a signal for merchandising or product teams.
If recommendations with social proof get high engagement, marketing can integrate that insight into on-site messaging.
Conversations reveal what customers really care about — often before analytics do.
This is the moment when the scorecard stops being a CX tool and becomes a business tool.
A clear set of metrics shows how conversations tie to:
When a CX leader walks into a meeting and says, “Our AI Assistant influenced 5% of last month’s revenue” or “Conversational shoppers have a 20% higher AOV,” the perception of CX changes instantly.
You’re no longer a support cost. You’re a revenue channel.
And once you have numbers like ROI or revenue influence in hand, it becomes nearly impossible for anyone to argue against further investment in CX automation.
A scorecard doesn’t just show what’s working, it surfaces what’s not.
Metrics make friction obvious:
Metric Signal |
What It Means |
|---|---|
Low CTR |
Recommendations may be irrelevant or poorly timed. |
Low CVR |
Conversations aren’t persuasive enough to drive a purchase. |
High deflection but low revenue |
AI is resolving tickets, but not effectively selling. |
High discount usage |
Shoppers rely on incentives to convert. |
Low discount usage |
You may be offering discounts unnecessarily and losing margin. |
Once you identify these patterns, you can run targeted experiments:
Compounded over time, these moments create major lifts in conversion and revenue.
One of the biggest hidden values of conversational data is how it strengthens cross-functional decision-making.
A clear analytics dashboard gives teams visibility into:
Suddenly, CX isn’t just answering questions — it’s informing strategy across the business.
With the right metrics in place, CX leaders can finally quantify the impact of every interaction, and use that data to shape smarter, more profitable customer journeys.
If you're ready to measure — and scale — the impact of your conversations, tools like Gorgias AI Agent and Shopping Assistant give CX teams the visibility, accuracy, and performance needed to turn every interaction into revenue.
Want to see it in action? Book a demo and discover what conversational commerce can do for your bottom line.
{{lead-magnet-2}}
When Rhoback introduced an AI Agent to its customer experience team, it did more than automate routine tickets. Implementation revealed an opportunity to improve documentation, collaborate cross-functionally, and establish a clear brand tone of voice.
Samantha Gagliardi, Associate Director of Customer Experience at Rhoback, explains the entire process in the first episode of our AI in CX webinar series.
With any new tool, the pre-implementation phase can take some time. Creating proper documentation, training internal teams, and integrating with your tech stack are all important steps that happen before you go live.
But sometimes it’s okay just to launch a tool and optimize as you go.
Rhoback launched its AI agent two weeks before BFCM to automate routine tickets during the busy season.
Why it worked:
Before turning on Rhoback’s AI Agent, Samantha’s team reviewed every FAQ, policy, and help article that human agents are trained on. This helped establish clear CX expectations that they could program into an AI Agent.
Samantha also reviewed the most frequently asked questions and the ideal responses to each. Which ones needed an empathetic human touch and which ones required fast, accurate information?
“AI tells you immediately when your data isn’t clean. If a product detail page says one thing and the help center says another, it shows up right away.”
Rhoback’s pre-implementation audit checklist:
Read more: How to Optimize Your Help Center for AI Agent
It’s often said that you should train your AI Agent like a brand-new employee.
Samantha took it one step further and recommended treating AI like a toddler, with clear, patient, repetitive instructions.
“The AI does not have a sense of good and bad. It’s going to say whatever you train it, so you need to break it down like you’re talking to a three-year-old that doesn’t know any different. Your directions should be so detailed that there is no room for error.”
Practical tips:
Read more: How to Write Guidance with the “When, If, Then” Framework
For Rhoback, an on-brand Tone of Voice was a non-negotiable. Samantha built a character study that shaped Rhoback’s AI Agent’s custom brand voice.
“I built out the character of Rhoback, how it talks, what age it feels like, what its personality is. If it does not sound like us, it is not worth implementing.”
Key questions to shape your AI Agent’s tone of voice:
Once Samantha started testing the AI Agent, it quickly revealed misalignment between Rhoback’s teams. With such an extensive product catalog, AI showed that product details did not always match the Help Center or CX documentation.
This made a case for stronger collaboration amongst the CX, Product, and Ecommerce teams to work towards their shared goal of prioritizing the customer.
“It opened up conversations we were not having before. We all want the customer to be happy, from the moment they click on an ad to the moment they purchase to the moment they receive their order. AI Agent allowed us to see the areas we need to improve upon.”
Tips to improve internal alignment:
Despite the benefits of AI for CX, there’s still trepidation. Agents are concerned that AI would replace them, while customers worry they won’t be able to reach a human. Both are valid concerns, but clearly communicating internally and externally can mitigate skepticism.
At Rhoback, Samantha built internal trust by looping in key stakeholders throughout the testing process. “I showed my team that it is not replacing them. It’s meant to be a support that helps them be even more successful with what they’re already doing," Samantha explains.
On the customer side, Samantha trained their AI Agent to tell customers in the first message that it is an AI customer service assistant that will try to help them or pass them along to a human if it can’t.
How Rhoback built AI confidence:
Read more: How CX Leaders are Actually Using AI: 6 Must-Know Lessons
Here is Rhoback’s approach distilled into a simple framework you can apply.
Watch the full conversation with Samantha to learn how AI can act as a catalyst for better internal alignment.
📌 Join us for episode 2 of AI in CX: Building a Conversational Commerce Strategy that Converts with Cornbread Hemp on December 16.
{{lead-magnet-1}}
The best in CX and ecommerce, right to your inbox

TL;DR:
In 2024, Shopify merchants drove $11.5 billion in sales over Black Friday Cyber Monday. Now, BFCM is quickly approaching, with some brands and major retailers already hosting sales.
If you’re feeling late to prepare for the season or want to maximize the number of sales you’ll make, we’ll cover how food and beverage CX teams can serve up better self-serve resources for this year’s BFCM.
Learn how to answer and deflect customers’ top questions before they’re escalated to your support team.
💡 Your guide to everything peak season → The Gorgias BFCM Hub
During busy seasons like BFCM and beyond, staying on top of routine customer asks can be an extreme challenge.
“Every founder thinks BFCM is the highest peak feeling of nervousness,” says Ron Shah, CEO and Co-founder of supplement brand Obvi.
“It’s a tough week. So anything that makes our team’s life easier instantly means we can focus more on things that need the time,” he continues.
Anticipating contact reasons and preparing methods (like automated responses, macros, and enabling an AI Agent) is something that can help. Below, find the top contact reasons for food and beverage companies in 2025.
According to Gorgias proprietary data, the top reason customers reach out to brands in the food and beverage industry is to cancel a subscription (13%) followed by order status questions (9.1%).
Contact Reason |
% of Tickets |
|---|---|
🍽️ Subscription cancellation |
13% |
🚚 Order status (WISMO) |
9.1% |
❌ Order cancellation |
6.5% |
🥫 Product details |
5.7% |
🧃 Product availability |
4.1% |
⭐ Positive feedback |
3.9% |
Because product detail queries represent 5.7% of contact reasons for the food and beverage industry, the more information you provide on your product pages, the better.
Include things like calorie content, nutritional information, and all ingredients.
For example, ready-to-heat meal company The Dinner Ladies includes a dropdown menu on each product page for further reading. Categories include serving instructions, a full ingredient list, allergens, nutritional information, and even a handy “size guide” that shows how many people the meal serves.

FAQ pages make up the information hub of your website. They exist to provide customers with a way to get their questions answered without reaching out to you.
This includes information like how food should be stored, how long its shelf life is, delivery range, and serving instructions. FAQs can even direct customers toward finding out where their order is and what its status is.

In the context of BFCM, FAQs are all about deflecting repetitive questions away from your team and assisting shoppers in finding what they need faster.
That’s the strategy for German supplement brand mybacs.
“Our focus is to improve automations to make it easier for customers to self-handle their requests. This goes hand in hand with making our FAQs more comprehensive to give customers all the information they need,” says Alexander Grassmann, its Co-Founder & COO.
As you contemplate what to add to your FAQ page, remember that more information is usually better. That’s the approach Everyday Dose takes, answering even hyper-specific questions like, “Will it break my fast?” or “Do I have to use milk?”

While the FAQs you choose to add will be specific to your products, peruse the top-notch food and bev FAQ pages below.
Time for some FAQ inspo:
AI Agents and AI-powered Shopping Assistants are easy to set up and are extremely effective in handling customer interactions––especially during BFCM.
“I told our team we were going to onboard Gorgias AI Agent for BFCM, so a good portion of tickets would be handled automatically,” says Ron Shah, CEO and Co-founder at Obvi. “There was a huge sigh of relief knowing that customers were going to be taken care of.”
And, they’re getting smarter. AI Agent’s CSAT is just 0.6 points shy of human agents’ average CSAT score.

Here are the specific responses and use cases we recommend automating:
Get your checklist here: How to prep for peak season: BFCM automation checklist
With high price reductions often comes faster-than-usual sell out times. By offering transparency around item quantities, you can avoid frustrated or upset customers.
For example, you could show how many items are left under a certain threshold (e.g. “Only 10 items left”), or, like Rebel Cheese does, mention whether items have sold out in the past.

You could also set up presales, give people the option to add themselves to a waitlist, and provide early access to VIP shoppers.
Give shoppers a heads up whether they’ll be able to cancel an order once placed, and what your refund policies are.
For example, cookware brand Misen follows its order confirmation email with a “change or cancel within one hour” email that provides a handy link to do so.

Your refund policies and order cancellations should live within an FAQ and in the footer of your website.
Include how-to information on your website within your FAQs, on your blog, or as a standalone webpage. That might be sharing how to use a product, how to cook with it, or how to prepare it. This can prevent customers from asking questions like, “how do you use this?” or “how do I cook this?” or “what can I use this with?” etc.
For example, Purity Coffee created a full brewing guide with illustrations:

Similarly, for its unique preseasoned carbon steel pan, Misen lists out care instructions:

And for those who want to understand the level of prep and cooking time involved, The Dinner Ladies feature cooking instructions on each product page.

Interactive quizzes, buying guides, and gift guides can help ensure shoppers choose the right items for them––without contacting you first.
For example, Trade Coffee Co created a quiz to help first timers find their perfect coffee match:

The more information you can share with customers upfront, the better. That will leave your team time to tackle the heady stuff.
If you’re looking for an AI-assist this season, check out Gorgias’s suite of products like AI Agent and Shopping Assistant.
{{lead-magnet-2}}

TL;DR:
Conversational AI changes how ecommerce brands interact with customers by enabling natural, human-like conversations at scale, helping reduce customer churn.
Instead of forcing shoppers through rigid menus or making them wait for support, conversational AI understands questions, detects intent, and delivers instant, personalized responses.
This technology powers everything from customer service chatbots to voice assistants, helping brands automate repetitive tasks while maintaining the personal touch customers expect.
For ecommerce specifically, it means handling order inquiries, providing product recommendations, and recovering abandoned carts — all without adding headcount.
Conversational AI is a type of artificial intelligence that allows computers to understand, process, and respond to human language through natural, two-way conversations. This means your customers can ask questions in their own words and get helpful answers that feel like they're talking to a real person.
Unlike basic chatbots that only recognize specific keywords, conversational AI actually understands what your customers mean. It can handle typos, slang, and complex questions that have multiple parts. The AI learns from every conversation, getting better at helping your customers over time.
Think of it as having a super-smart team member who never sleeps, never gets frustrated, and remembers every detail about your products and policies. This AI team member can chat with customers on your website, answer questions through social media, or even handle phone calls.
Conversational AI works because several smart technologies team up to understand and respond to your customers. Each piece has a specific job in making conversations feel natural and helpful.
Natural Language Processing (NLP) is the foundation that breaks down human language into pieces a computer can understand. This means when a customer types "Where's my order?" the AI can identify the important words and grammar structure.
Natural Language Understanding (NLU) figures out what the customer actually wants. This is the smart part that realizes "Where's my order?" means the customer wants to track a shipment, even if they phrase it differently like "I need to check my package status."
Natural Language Generation (NLG) creates responses that sound human and helpful. Instead of robotic answers, it crafts replies that match your brand's voice and provide exactly what the customer needs to know.
The dialog manager keeps track of the entire conversation. This means if a customer asks a follow-up question, the AI remembers what you were just talking about and can give a relevant answer.
Your knowledge base stores all the information the AI needs to help customers. This includes your return policy, product details, shipping information, and any other facts your team would use to answer questions.
Conversational AI follows a simple three-step process that happens in seconds. Understanding this process helps you see why it's so much more powerful than old-school chatbots.
When a customer sends a message or asks a question, the AI first needs to understand what they're saying. For text messages from chat, email, or social media, the system breaks down the sentence into individual words and analyzes the grammar.
For voice interactions like phone calls, the AI uses speech recognition to turn spoken words into text first. Modern systems handle different accents, background noise, and natural speech patterns without missing a beat.
Once the AI has the customer's words, it needs to figure out what they actually want. The system looks for the customer's intent — their goal or what they're trying to accomplish.
For example, when someone asks "Can I return this sweater I bought last week?" the AI identifies the intent as wanting to make a return. It also pulls out important details like the product type and timeframe.
The AI also uses context from earlier in the conversation. If the customer mentioned their order number earlier, the AI remembers it and can use that information to help with the return request.
After understanding what the customer wants, the AI creates a helpful response. It might pull information from your knowledge base, personalize the answer with the customer's specific details, or generate a completely new response using generative AI.
The system also checks how confident it is in its answer. If the AI isn't sure about something or if the topic is too complex, it knows to hand the conversation over to one of your human agents.
Different types of conversational AI work better for different situations in your ecommerce business. Understanding these types helps you choose the right solution for your customers and team.
Chatbots are the most common type you'll see on websites and messaging apps. Early chatbots followed strict scripts — if a customer's question didn't match the script exactly, the bot would get confused and give unhelpful answers.
Modern AI-powered chatbots understand natural language and can handle much more complex conversations. The best systems combine both approaches: using simple rules for straightforward questions and AI for everything else.
These chatbots work great for answering common questions about shipping, returns, and product details. They can also help customers find the right products or guide them through your checkout process.
Voice assistants bring conversational AI to phone support and other voice channels. These aren't the old phone trees that made customers press numbers to navigate menus.
Instead, customers can speak naturally and get helpful answers right away. Voice assistants can look up order information, explain your return policy, or even process simple requests like address changes.
This works especially well for customers who prefer calling over typing, or when they need help while their hands are busy.
Read more: How Cornbread Hemp reached a 13.6% phone conversion rate with Gorgias Voice
AI agents are the most advanced type of conversational AI. Unlike chatbots that mainly provide information, AI agents can actually take action on behalf of customers.
These systems connect to your other business tools like Shopify, your shipping software, or your returns platform. This means they can do things like:
Copilots work alongside your human agents, suggesting responses and pulling up customer information to help resolve issues faster.
Read more: How AI Agent works & gathers data
Conversational AI delivers real business results for ecommerce brands. The benefits go beyond just making your support team more efficient — though that's certainly part of it.
24/7 availability means you never miss a sale or support opportunity. Customers can get help at 2 a.m. or during holidays when your team is offline. This is especially valuable for international customers in different time zones.
Instant responses prevent cart abandonment and customer frustration, improving first contact resolution. When someone has a question about sizing or shipping, they get an answer immediately instead of waiting hours or days for an email response.
Personalized interactions at scale drive higher average order values. The AI can recommend products based on what customers are browsing, their purchase history, and their preferences, just like your best salesperson would.
Cost efficiency comes from handling repetitive questions automatically. Your human agents can focus on complex issues, VIP customers, and revenue-generating activities instead of answering the same shipping questions over and over.
Multilingual support helps you serve global customers without hiring native speakers for every language. The AI can communicate in dozens of languages, opening up new markets for your business.
Certain moments in the shopping experience create the biggest opportunities for conversational AI to drive results. Focus on these high-impact use cases first.
Pre-purchase questions are your biggest conversion opportunity. When someone is looking at a product but hasn't bought yet, quick answers about sizing, materials, or compatibility can close the sale. The AI can also suggest complementary products or highlight features the customer might have missed.
Order tracking makes up the largest volume of support tickets for most ecommerce brands. Customers want to know where their package is, when it will arrive, and what to do if there's a delay. AI handles these WISMO requests instantly by pulling real-time tracking information.
Returns and exchanges can be complex, but AI excels at the initial screening. It can check if an item is eligible for return, explain your policy, and start the return process. For straightforward returns, customers never need to wait for human help.
Cart recovery works best when it's immediate and personal. AI can detect when someone abandons their cart and reach out through chat or email with personalized messages, discount offers, or answers to common concerns that prevent purchases.
Post-purchase support keeps customers happy after they buy. The AI can send order confirmations, provide care instructions, suggest related products, and handle simple issues like address changes.
Getting started with conversational AI doesn't require a complete overhaul of your systems. The key is starting with clear goals and building your capabilities over time.
The best automation opportunities are found in your tickets. Look for questions that come up repeatedly and have straightforward answers. Common examples include order status, return policies, and basic product information.
Set realistic goals for your first phase. You might aim to automate 30% of your tickets or reduce average response time by half. Track metrics like:
Not all conversational AI platforms understand ecommerce needs. Look for a platform that integrates directly with Shopify and your other business tools. This connection is essential for pulling real-time order data, customer history, and product information.
Your platform should come with pre-built actions for common ecommerce tasks like order lookups, return processing, and subscription management. This saves months of custom development work.
Make sure you can control the AI's behavior through clear guidance and rules. You need to be able to set your brand voice, define when to escalate to humans, and update the AI's knowledge as your business changes.
Start your implementation by connecting your Shopify store to give the AI access to order and customer data. Don’t forget to integrate the rest of your tech stack like shipping software, returns platforms, and loyalty programs.
Launch with a few core use cases like order tracking and basic product questions. Monitor the AI's performance closely and gather feedback from both customers and your support team. Use this data to refine the AI's responses and gradually expand its capabilities.
The best approach is iterative — start small, learn what works, and build from there.
While conversational AI offers significant benefits, you need to be aware of potential challenges and plan for them from the start.
Accuracy concerns arise when AI systems provide incorrect information or "hallucinate" facts that aren't true. Prevent this by using platforms that ground responses in your verified knowledge base and product data rather than generating answers from scratch.
Brand voice consistency becomes critical when AI represents your brand to customers. Set clear guidelines for tone, style, and messaging. Test the AI's responses regularly to ensure they align with how your human team would handle similar situations.
Data privacy requires careful attention since conversational AI handles sensitive customer information. Choose platforms with strong security measures, data encryption, and compliance with regulations like GDPR. Look for features like automatic removal of personal information from conversation logs.
Over-automation can frustrate customers when complex issues require human empathy and problem-solving. Design clear escalation paths so customers can easily reach human agents when needed. Train your AI to recognize when a situation is beyond its capabilities.
Integration complexity can slow down implementation if your chosen platform doesn't work well with your existing tools. This is why choosing an ecommerce-focused platform with pre-built integrations is so important.
The brands winning with conversational AI start with clear goals, choose the right platform, and iterate based on real performance data. They don't try to automate everything at once. They focus on high-impact use cases that deliver real results.
Ready to see how conversational AI can transform your ecommerce support and sales? Book a demo with Gorgias — built specifically for ecommerce brands.
{{lead-magnet-2}}

TL;DR:
As holiday season support volumes spike and teams lean on AI to keep up, one frustration keeps surfacing, our Help Center has the answers—so why can’t AI find them?
The truth is, AI can’t help customers if it can’t understand your Help Center. Most large language models (LLMs), including Gorgias AI Agent, don’t ignore your existing docs, they just struggle to find clear, structured answers inside them.
The good news is you don’t need to rebuild your Help Center or overhaul your content. You simply need to format it in a way that’s easy for both people and AI to read.
We’ll break down how AI Agent reads your Help Center, finds answers, and why small formatting changes can help it respond faster and more accurately, so your team spends less time on escalations.
{{lead-magnet-1}}
Before you start rewriting your Help Center, it helps to understand how AI Agent actually reads and uses it.
Think of it like a three-step process that mirrors how a trained support rep thinks through a ticket.
Your Help Center is AI Agent’s brain. AI Agent uses your Help Center to pull facts, policies, and instructions it needs to respond to customers accurately. If your articles are clearly structured and easy to scan, AI Agent can find what it needs fast. If not, it hesitates or escalates.
Think of Guidance as AI Agent’s decision layer. What should AI Agent do when someone asks for a refund? What about when they ask for a discount? Guidance helps AI Agent provide accurate answers or hand over to a human by following an “if/when/then” framework.
Finally, AI Agent uses a combination of your help docs and Guidance to respond to customers, and if enabled, perform an Action on their behalf—whether that’s changing a shipping address or canceling an order altogether.
Here’s what that looks like in practice:

This structure removes guesswork for both your AI and your customers. The clearer your docs are about when something applies and what happens next, the more accurate and human your automated responses will feel.
A Help Center written for both people and AI Agent:
Our data shows that most AI escalations happen for a simple reason––your Help Center doesn’t clearly answer the question your customer is asking.
That’s not a failure of AI. It’s a content issue. When articles are vague, outdated, or missing key details, AI Agent can’t confidently respond, so it passes the ticket to a human.
Here are the top 10 topics that trigger escalations most often:
Rank |
Ticket Topic |
% of Escalations |
|---|---|---|
1 |
Order status |
12.4% |
2 |
Return request |
7.9% |
3 |
Order cancellation |
6.1% |
4 |
Product - quality issues |
5.9% |
5 |
Missing item |
4.6% |
6 |
Subscription cancellation |
4.4% |
7 |
Order refund |
4.1% |
8 |
Product details |
3.5% |
9 |
Return status |
3.3% |
10 |
Order delivered but not received |
3.1% |
Each of these topics needs a dedicated, clearly structured Help Doc that uses keywords customers are likely to search and spells out specific conditions.
Here’s how to strengthen each one:
Start by improving these 10 articles first. Together, they account for nearly half of all AI Agent escalations. The clearer your Help Center is on these topics, the fewer tickets your team will ever see, and the faster your AI will resolve the rest.
Once you know how AI Agent reads your content, the next step is formatting your help docs so it can easily understand and use them.
The goal isn’t to rewrite everything, it’s to make your articles more structured, scannable, and logic-friendly.
Here’s how.
Both humans and large language models read hierarchically. If your article runs together in one long block of text, key answers get buried.
Break articles into clear sections and subheadings (H2s, H3s) for each scenario or condition. Use short paragraphs, bullets, and numbered lists to keep things readable.
Example:
How to Track Your Order
A structured layout helps both AI and shoppers find the right step faster, without confusion or escalation.
AI Agent learns best when your Help Docs clearly define what happens under specific conditions. Think of it like writing directions for a flowchart.
Example:
This logic helps AI know what to do and how to explain the answer clearly to the customer.
Customers don’t always use the same words you do, and neither do LLMs. If your docs treat “cancel,” “stop,” and “pause” as interchangeable, AI Agent might return the wrong answer.
Define each term clearly in your Help Center and add small keyword variations (“cancel subscription,” “end plan,” “pause delivery”) so the AI can recognize related requests.
AI Agent follows links just like a human agent. If your doc ends abruptly, it can’t guide the customer any further.
Always finish articles with an explicit next step, like linking to:
Example: “If your return meets our policy, request your return label here.”
That extra step keeps the conversation moving and prevents unnecessary escalations.
AI tools prioritize structure and wording when learning from your Help Center—not emotional tone.
Phrases like “Don’t worry!” or “We’ve got you!” add noise without clarity.
Instead, use simple, action-driven sentences that tell the customer exactly what to do:
A consistent tone keeps your Help Center professional, helps AI deliver reliable responses, and creates a smoother experience for customers.
You don’t need hundreds of articles or complex workflows to make your Help Center AI-ready. But you do need clarity, structure, and consistency. These Gorgias customers show how it’s done.
Little Words Project keeps things refreshingly straightforward. Their Help Center uses short paragraphs, descriptive headers, and tightly scoped articles that focus on a single intent, like returns, shipping, or product care.
That makes it easy for AI Agent to scan the page, pull out the right facts, and return accurate answers on the first try.
Their tone stays friendly and on-brand, but the structure is what shines. Every article flows from question → answer → next step. It’s a minimalist approach, and it works. Both for customers and the AI reading alongside them.

Customer education is at the heart of Dr. Bronner’s mission. Their customers often ask detailed questions about product ingredients, packaging, and certifications. With Gorgias, Emily and her team were able to build a robust Help Center that helped to proactively give this information.
The Help Center doesn't just provide information. The integration of interactive Flows, Order Management, and a Contact Form automation allowed Dr. Bronner’s to handle routine inquiries—such as order statuses—quickly and efficiently. These kinds of interactive elements are all possible out-of-the-box, no IT support needed.


When Ekster switched to Gorgias, the team wanted to make their Help Center work smarter. By writing clear, structured articles for common questions like order tracking, returns, and product details, they gave both customers and AI Agent the information needed to resolve issues instantly.
"Our previous Help Center solution was the worst. I hated it. Then I saw Gorgias’s Help Center features, and how the Article Recommendations could answer shoppers’ questions instantly, and I loved it. I thought: this is just what we need." —Shauna Cleary, Head of Ecommerce at Ekster
The results followed fast. With well-organized Help Center content and automation built around it, Ekster was able to scale support without expanding the team.
“With all the automations we’ve set up in Gorgias, and because our team in Buenos Aires has ramped up, we didn’t have to rehire any extra agents.” —Shauna Cleary, Head of Ecommerce at Ekster
Learn more: How Ekster used automation to cover the workload of 4 agents
Rowan’s Help Center is a great example of how clear structure can do the heavy lifting. Their FAQs are grouped into simple categories like piercing, shipping, returns, and aftercare, so readers and AI Agent can jump straight to the right topic without digging.
For LLMs, that kind of consistency reduces guesswork. For customers, it creates a smooth, reassuring self-service experience.

TUSHY proves you can maintain personality and structure. Their Help Center articles use clear headings, direct language, and brand-consistent tone. It makes it easy for AI Agent to give accurate, on-brand responses.

“Too often, a great interaction is diminished when a customer feels reduced to just another transaction. With AI, we let the tech handle the selling, unabashedly, if needed, so our future customers can ask anything, even the questions they might be too shy to bring up with a human. In the end, everybody wins!" —Ren Fuller-Wasserman, Senior Director of Customer Experience at TUSHY
Ready to put your Help Center to the test? Use this five-point checklist to make sure your content is easy for both customers and AI to navigate.
Break up long text blocks and use descriptive headers (H2s, H3s) so readers and AI Agent can instantly find the right section.
Spell out what happens in each scenario. This logic helps AI Agent decide the right next step without second-guessing.
Make sure your Help Center includes complete, structured articles for high-volume issues like order status, returns, and refunds.
Close every piece with a call to action, like a form, related article, or support link, so neither AI nor customers hit a dead end.
Use direct, predictable phrasing. Avoid filler like “Don’t worry!” and focus on steps customers can actually take.
By tweaking structure instead of your content, it’s easier to turn your Help Center into a self-service powerhouse for both customers and your AI Agent.
Your Help Center already holds the answers your customers need. Now it’s time to make sure AI can find them. A few small tweaks to structure and phrasing can turn your existing content into a powerful, AI-ready knowledge base.
If you’re not sure where to start, review your Help Center with your Gorgias rep or CX team. They can help you identify quick wins and show you how AI Agent pulls information from your articles.
Remember: AI Agent gets smarter with every structured doc you publish.
Ready to optimize your Help Center for faster, more accurate support? Book a demo today.
{{lead-magnet-2}}

While new customer acquisition is always going to be the most important driver of business growth, it’s important to keep existing customers coming back for more. Good customer retention helps brand reputation—which is itself important for new business growth—while making your overall marketing program more efficient.
Paid social media advertising is one of the most powerful customer retention tools that brands have at their disposal. In this blog, we’ll break down:
Let’s get started.
{{lead-magnet-1}}
Put simply, if you don’t use social media to stay top-of-mind for your existing customers, your competitors will. Competitor conquesting is a very real part of paid social strategy, and competing brands will always try to woo your existing audience, often with an appealing deal or offer. Retention strategies, in part, are a way to defend your brand from those encroachments.
On top of that, customers often need a reminder. Even if they love your brand and products, they aren’t going to be thinking about them all the time, so it’s on you to do a little of the lifting for them. It’s important to pop out every now and then to show them what new items you have in stock, or to encourage their next purchase with a great sales offer.
Lastly, every person’s preferred communication style is different. Not all customers read emails or marketing texts, but social usage is pretty ubiquitous: More than 7 out of 10 American adults use at least one social media platform, with Facebook (68%) and Instagram (47%) being the most popular. That makes paid social a good way to ensure your customers remain aware of your latest and greatest offerings when they’re passively browsing their preferred social apps.
Generally speaking, prospecting should always get the majority of your paid social marketing budget. At ADM, we encourage no less than 60%, and often more depending on a brand’s business model. That means retention campaigns should always represent a minority of your budget.
This is for a number of reasons: One, most businesses can’t survive without constantly restocking their pipeline of new customers. And since it’s much harder to convince an unfamiliar user to make a purchase if they haven’t heard of your brand or enjoyed your products yet, new customers will typically require more touchpoints to produce a conversion—which means more budget.
Retention campaigns, on the other hand, often work more efficiently. If you’re properly nurturing existing customers by offering perks like exclusive deals and early access to sales, they will keep purchasing. So deciding how big of a majority share your prospecting efforts get compared to retention shouldn’t be solely based on the volume of purchases you can get from each bucket: The cost of driving a purchase from each segment is a deciding factor as well.
The march towards a cookieless future has made traditional remarketing less effective on social media. Custom audiences are still useful on Meta and other social platforms, however, which means retention campaigns should rely on first-party data. Your CRM lists, which use first-party data willingly provided by your customers, will be your most important resource—though Pixel-based past purchaser audiences can also be useful for speaking to existing customers who may have purchased more recently.
The rise of AI-powered campaign types, like Meta’s Advantage+ campaigns, have also changed how marketers approach these audiences. These campaigns use algorithmic insights to deploy different ad creative based on inferences about the user and its own learnings about how different creative performs for different purposes. That makes it possible to utilize “blended” targeting—running prospecting, remarketing, and retention audiences all under the same campaign, provided you have appropriate ad creative options for each audience type in the campaign.
The most important part of this “new era” is staying on top of the spend allocated to these segments. A strong retention audience can help lift ROAS, but brands still need to monitor where spend is going within those campaigns to ensure it isn’t all gravitating to one customer type. Putting spend caps on a retention audience, or using an existing customer percentage cap in Advantage+, can be good ways to regain some control over your audiences.
There is no one-size-fits-all strategy for making sure customers come back for more, but there are some best practices to follow to set your retention efforts up for maximum success. Here’s what ADM recommends:
Upsells/Next step products:
Create targeted ads featuring “next step” products in the customer journey. For example, a running apparel brand might advertise running shoes specifically to existing customers, as these items typically have a higher price point and require more research compared to items like tights or a running bra.
First looks/early access to new products or releases:
Utilize custom lists to incentivize first-time purchasers to make a subsequent purchase with a small discount. Offer VIP early access to sales for existing customers with steeper discounts, making them feel valued and encouraging repeat business.
Special deals for existing customers only:
Target existing customers with exclusive deals on their favorite products in new colors or offer early access to new releases related to previously purchased items. This approach can enhance customer loyalty by making them feel special and appreciated.
Creative messaging specific to retention audiences:
If it’s a retention ad, users should get the impression you’re inviting them back to buy again. That’s why it’s important to differentiate retention messaging from prospecting, with ideas like:
{{lead-magnet-2}}
Because retention campaigns typically use first-party data, there’s often less guesswork involved when it comes to your results. The user is verifiably tied to the action they undertake, so marketers feel confident that they are accurately reaching existing customers they intend to.
In order to validate success, it’s best to look at the return on ad spend (ROAS) you’re getting from your retention audiences relative to your prospecting efforts. Since existing customers already have brand affinity, they should be expected to purchase more while requiring a shorter journey from impression to purchase.
That means your retention audience ROAS targets should be as much as double those of prospecting. For example, if a comfortable ROAS for one of our client’s prospecting audiences was 1.5, we would consider targeting a retention ROAS goal closer to 2.5 or 3.
The only thing as valuable as knowing what to do is knowing what not to do. Here are some of the common customer retention mistakes we have seen around the industry:
Running Generic Ads: Creating generic ads is the easiest way to lose with any segment. If your messaging isn’t tailored to your audience, it will always fall flat. This is especially true with retention audiences who already loyal customers don’t want to be spoken to like they’re brand new.
Letting Ads Go Stale: An ad might work great the first time someone sees it. It might still make an impact the fifth or tenth time. But if your same existing customers are receiving the same message repeatedly—and not converting—then fatigue can have a negative impact on performance. Make sure you’re updating retention ads frequently enough that users don’t get annoyed by or immune to your message.
Inappropriate Spend Split: As mentioned in the budgeting section, the wrong spend split and not tailoring goals to each audience can also be major hindrances to retention performance. It’s important to make sure you’re not neglecting your existing customers by putting too little budget towards them, but since existing customers are finite and new customers aren’t, it’s possible to reach oversaturation and diminishing returns if you put too much budget into those campaigns.
Bad or Outdated Customer Data: Healthy, accurate customer data is key to ensuring you are reaching the right audiences. Using outdated customer lists for targeting can be a big mistake. When using CRM segments for retention campaigns, make sure you are updating those segments frequently (or using a third-party integration like Klaviyo) to ensure segments update automatically.
As we’ve laid out here, a lot goes into running effective customer retention campaigns on your paid social media. If you’re looking for an expert performance marketing agency that can assist in all facets of your online growth, reach out to our team at Accelerated Digital Media to set up an audit.

TL;DR:
Chances are, you’ve had at least one frustrating experience with AI in customer support. Even with 69.2% of customer support professionals using AI, you’re still skeptical about making AI a permanent part of your customer support operations.
At Gorgias, building AI has been a thoughtful process. We insist on only shipping AI features that improve customer experiences, not degrade them.
To help you understand how we’re approaching AI, we’ll walk through the four pillars that ensure a positive AI experience for you and your customers: Onboard, Automate, Observe, and Coach.
Putting it all together: we view AI as the ultimate assistive tool for customer experience (CX) teams.
Before diving into the four pillars, let’s set the stage. Two major changes have occurred in the past few years:
As AI removes the grunt work from support teams’ plates, repetitive tasks such as providing order status updates, processing returns, and answering frequently asked questions can be offloaded to AI.
AI can even handle the mental work of reading, summarizing, categorizing, prioritizing, and tagging, even when a human needs to step in.
Agents can then focus on higher-impact tasks, like speaking to VIP customers on the phone, offering new support channels, driving upsells and cross-sells, and much more. This is how CX teams evolve.
Brands using Gorgias AI Agent in the alpha testing phase are already automating as much as 30% of email tickets. By the end of 2024, we envision over half of brands’ customer tickets to be handled by AI Agent.

Our overall goal is to make CX tools, including AI, that are great for customers and their overall business goals. We follow four pillars when it comes to AI at Gorgias.
Bringing AI into your support team is like onboarding a new agent. Like any agent, AI should know:
AI should model the most efficient support reps who know their brand inside and out — while being able to empathize with customers at lightning speed. That is the future of great customer service.
AI Agent’s main knowledge reference is your owned data, including your Shopify storefront and backend, Help Center articles, order data, brand voice, conversation history, and other URLs where your brand content is stored.
When adding AI Agent to your Gorgias account, you can sync each of these resources to empower your AI Agent with the knowledge it needs to answer questions and resolve basic issues.
To enhance AI Agent’s answering power, the Guidance feature allows you to provide detailed instructions on how AI Agent should interact with customers.
While the prior resources are centered around brand knowledge, Guidance is more like team processes. You can instruct AI Agent to ask follow-up questions, confirm details, and treat customers one way or another depending on factors like whether:

Tosha Moyer, Senior Customer Experience Manager at menswear brand Psycho Bunny, highlights the value of our internal guidance feature. “Guidance is so important because we have a lot of internal processes that we do not need to be described in a customer-facing article, but we want AI Agent to be able to access that information and manage tickets accordingly.”
Last, you can instruct AI to speak in your brand’s voice. When setting up AI Agent, you can provide your team’s tone of voice guidelines, brand bible, and other resources to ensure your agent represents your brand identity.

AI can do so much more than restate your brand policies. At Gorgias, we believe AI should fully resolve inquiries — and that means taking action.
According to a report by Gartner, 82% of customers say quick resolutions influence their decision to stay loyal to a brand. When we empower AI to take action, customers have better experiences and are more likely to keep doing business with a brand.
AI Agent uses the latest model of ChatGPT, 4o, combined with the content you already have to send human-like answers to customers.
But AI Agent doesn’t only regurgitate your Help Center content. It goes one step further by updating customers’ orders, changing addresses, sending order and return statuses, and more.
Native integrations with Shopify and other apps in the Gorgias ecosystem allow AI Agent to fully resolve basic inquiries by pulling customer-specific data and performing actions in other tools.
Our goal is to make connecting these tools as simple as possible, minimizing the need for technical setups like configuring API calls.

Of course, AI’s decisions on when to execute these Actions should come from your team. That’s why you can set up conditions for each Action, specifying when (and for whom) the Action can fire.

AI Agent includes a variety of pre-built Actions from popular ecommerce apps like Shopify, Recharge, and Loop Returns — with many more on the way. You can also build Custom Actions with any 3rd-party tool.

Within two months, AI Agent outranked Psycho Bunny’s human agents’ resolution times. It resolved tickets in under 2 minutes, compared to the human average of 4+ hours. Customers even gave AI Agent a 4.67/5 CSAT score — nearly 0.1 points higher than human agents’ average CSAT score.
AI is a new technology — we humans are still building trust and comfort. In fact, only 3 in 10 Americans are able to identify AI use in digital use cases, according to the Pew Research Center. This suggests a lack of transparency in how companies use AI.
In a problem-solving service like customer support, AI’s role and decision-making should be transparent: Agents should know which tickets are handled by AI, what exactly the AI did, and why.
Agents can see the logic of AI Agent right in the ticket view. This includes the knowledge source it used, the specific actions it took, and the exact responses it generated. All actions made by AI Agent are highlighted in purple or symbolized by the purple sparkle AI Agent icon.

Being able to discern AI responses from human ones allows brands to:
We highly recommend nominating one human agent to review AI Agent’s responses. Set aside time each week to review to understand how it behaves, when it responds vs hands over, and the most common knowledge resources it pulls from.
Inevitably, AI won’t be perfect from day 1. Just like a new agent, AI needs coaching. That’s why the final pillar of our AI philosophy is improving AI’s knowledge and performance through coaching.
When AI makes a mistake, you should have the power to correct it so that future errors are avoided. When AI acts correctly, you should also be able to encourage and reinforce its positive behavior.
A continuous cycle of coaching helps AI become more aligned with your brand’s standards.
Feedback is built into AI Agent. Every decision AI Agent makes can be rated with a thumbs-up/down system. Encourage AI Agent to continue making the same actions with a thumbs up, and change behavior with a thumbs down.
You can see how AI handles every situation in detail, giving you full transparency. Reviewing these decisions leads AI to better align with your brand’s standards.

In addition, you can easily instruct AI Agent to pull from different Guidance instructions and Help Center articles or execute different Actions — with the easy ability to create or edit those resources in just a few clicks.

At Gorgias, we designed AI to enhance your customer support experience. By leveraging the pillars of Onboard, Automate, Observe, and Coach, we ensure that AI Agent is an effective and reliable partner for your team.
With AI handling low-priority repetitive questions, your team can focus on creating more meaningful connections. This includes prioritizing VIP customers and escalated tickets, upselling, and engaging in higher-impact activities.
The future of AI at Gorgias is bright, with continuous improvements and new features on the horizon. Embrace the power of AI and see how it can transform your customer service team.
Book a demo today to experience the benefits of AI Agent for yourself.
{{lead-magnet-1}}

TL;DR:
Your customer experience team is considering investing in AI and automation, but you might be wondering: What will happen to your team after?
They aren’t going anywhere.
Instead, your team has more time to tackle high-priority work that often gets put on the back burner, like:
We’ve found that automating just 30% of your incoming ticket load can take on the work of three support agents. Overall, AI is a tool that can streamline customer service work and make your agents' lives easier.
Just as a helpdesk unifies all customer messages and removes the part of the process where agents have to jump between inboxes, AI eliminates the grunt work of reading and resolving repetitive tickets and more.
Automating tickets opens a world of opportunity for your support agents. Let’s break down how your CX team will evolve once AI joins the party.
{{lead-magnet-1}}
One of the biggest benefits of incorporating AI within your ecommerce CX strategy is encouraging your team to become AI coaches.
When you automate “traditional” CX tasks, like answering incoming tickets, your team gains back time to provide feedback to continuously improve your AI and create more effective processes.

Empowering your human agents to become AI coaches could happen in multiple scenarios, such as:
Psycho Bunny uses Gorgias’s conversational AI tool, AI Agent, to automate 26% of customer tickets, providing empathetic and personalized responses to customer questions rather than generic auto-replies.
An incoming customer inquiry may occasionally require an agent to refer to internal, non-public information. At Psycho Bunny, AI Agent uses Guidance to leverage internal information and prompts to properly resolve or escalate issues as needed.
“The Guidance feature is so important because we have a lot of processes that we definitely don't want described in a customer-facing article, but we want AI Agent to be able to access that information and manage tickets accordingly,” says Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny.

AI can handle most of your incoming repetitive questions, like “Where’s my order?” or “What’s my size?” but where it falls short is tackling high-priority issues, like a question asked shortly after a purchase is made.
When it comes to ticket prioritization, we recommend using AI to handle low-priority tickets to free up your team to solely take care of the most pressing customer issues. Low-priority tickets are not time-sensitive or tied to generating a sale, making them perfect candidates for automation.

With AI handling easy-to-resolve issues, your team can focus on high-priority and revenue-related requests. High-priority tickets include those tied to revenue, such as VIP or returning customer inquiries, escalated cases like potential bad reviews, and conversations needing immediate responses via SMS or live chat.
Every conversation with a customer is an opportunity to drive a sale.
Your support team is on the frontline of customer interactions. No one knows your brand's customers and their pain points better.
When you allow AI to manage ticket loads, the nature of your team changes from simply managing grunt work to becoming more like sales associates.
This is an opportunity for agents to think beyond answering tickets and to become cross-functional partners across the brand, providing more value to the business overall by:

Manduka implemented Gorgias Convert, an ecommerce marketing tool designed to turn first-time shoppers into repeat customers. Using onsite campaigns, Convert leverages audience segmentation to provide proactive and personalized interactions to increase conversions and boost average order value.
For instance, when an online shopper looks likely to leave Manduka’s website and meets certain conditions, a discount code campaign is triggered if customers sign up for email or SMS marketing messages.
Between April and August 2023, Manduka’s on-site Convert campaign saw:

“Gorgias Convert is amazing, we highly recommend it,” says Jessica Botello, Customer Service Manager at Manduka. “Gorgias Convert is almost a one-to-one translation of the in-person retail experience to the online retail experience where that wasn't available before.”
(For anyone considering implementing Convert, we also offer a Convert Bootcamp to get CX teams up and running in just a few weeks.)
When AI can automatically handle the bulk of incoming customer inquiries, you can put your human team on channels that push conversations and higher lifetime value (LTV).
Here are some ways to enhance your customer experiences:
Caela Castillo, Director of CX at JAXXON, notes that automation is not a total replacement for agents but a tool that provides instant information to shoppers while allowing agents to focus on more critical, revenue-generating tickets.
While AI Agent automatically resolves 37% of their tickets, JAXXON agents have more time to attend to higher-impact conversations, such as escalations and particular product-related questions. In addition, they can spend more time in the back end of their helpdesk by creating engaging chat campaigns and improving their self-service resources.

AI makes agents' jobs more strategic.
With a bulk of tickets automatically managed, your team can spend less time putting out small fires. Agents can identify trends in customer interactions and make better-informed decisions that affect more than the CX team.
The key is to share insights and collaborate with other teams to improve the business as a whole.
Here are specific insights to share with certain teams:

Topicals wanted to reduce the high number of returned products by providing more helpful information to shoppers before they went to the checkout, so they leveraged Gorgias AI Agent to handle 69% of incoming tickets.
With AI Agent, Topicals’ return rate dropped significantly, and sales from customer support increased by 78%. Agents also gained free time to think more strategically about the customer experience overall. Thanks to improved pre-sales conversations, customer satisfaction scores are now at 4.8/5.
As a result, the Topicals team now better understands what types of customer experience generate more sales and higher satisfaction scores. Best of all, they can leverage these insights to continuously fine-tune the experience.
“Being able to track customer satisfaction scores in Gorgias is a really big help to us. Before, we didn't know if we were doing well or not, but now we can see people like the service we provide. And we use the KPI tracking data for internal monthly meetings to review performance and see where we can improve.”
— Deja Jefferson, Customer Experience Manager at Topicals
There’s a lot of fear around AI. We get it — change is hard (and scary).
It’s important to choose a tool you can trust. At Gorgias, AI and automation aren’t new trends. With AI Agent, Gorgias has led the revolution in AI-driven customer support solutions for 16,000 ecommerce brands.
Sign up for free to kickstart your journey in automating CX with the power of AI.
{{lead-magnet-2}}

TL;DR:
In the competitive ecommerce landscape, turning browsers into buyers is like… trying to get a cat to take a bath (if you know, you know). You can activate various website campaigns until something sticks, but without relying on concrete data, you may never see the conversions you want.
This is where addressing pre-sales friction points comes into play. In other words, resolving concerns that customers face before making a purchase.
Once you’ve determined the problem areas, you can use Convert campaigns to lead customers to the checkout. These onsite campaigns have proven to enhance customer engagement, drive conversions, and significantly reduce return rates.
Ready to gain new customers? Let’s deep dive into identifying pre-sales friction points and resolving them with Convert campaigns.
{{lead-magnet-1}}
Creating campaigns that convert requires identifying your top pre-sales barriers. These are obstacles in the buying journey that prevent customers from proceeding with a purchase.
Some sale-preventing questions could be:
Proactively addressing these friction points can remove customers' hesitation when purchasing.
Take a look at three data sources to identify your brand’s specific friction points.
After you’ve identified the obstacles in customers’ buying journeys, the next step is to resolve them.
Targeted onsite campaigns with Convert are an excellent way to tackle these issues.
Here are three effective strategies to address common pre-sales friction points and enhance the shopping experience for your customers.
As of 2024, 70% of customers worldwide end up abandoning their online shopping carts. Price, value, competitors — there are many reasons why customers choose not to checkout. The solution is to engage with customers in real time while deep in shopping mode.
Conversational campaigns are among the highest-performing Convert campaign strategies, allowing brands to address customer questions and provide personalized assistance instantly.
TUSHY enhances product education by launching an educational campaign for shoppers browsing their product pages. The campaign features a video demonstrating how easy it is to install their bidets, reassuring customers about the simplicity of using their products.
![]() |
Tips for Effective Real-Time Engagement:
Timing is a critical factor in the success of onsite campaigns. Messages should be delivered at the right moment to ensure visitor attention without interrupting their browsing experience.
Fortunately, with Convert, you can target an audience based on the time spent on a visit or specific page.
Check out how cosmetics brand Glamnetic appeals to browsing customers who spend more than a minute on their page:
![]() |
Strategies for Timely Messaging:
Educating customers is about providing information and empowering them to make confident purchasing decisions.
If customers are hesitant to buy from you, consider creating educational campaigns for:
Glamnetic runs focused educational campaigns to provide customers with helpful product info and tutorials, like how to apply lash extensions. These campaigns make shopping easier and answer customers' specific questions, helping them make better buying choices.
The results? +27% higher conversation rate and +12% AOV.
![]() |
Numbers don’t lie, and these impressive data points highlight the impact of well-crafted educational campaigns:
Making the leap from browser to buyer is no easy feat. By addressing the friction points in the buyer journey, brands can smooth the path for their customers. These strategies not only enhance the shopping experience but also build customer confidence and trust.
The data speaks for itself: well-crafted educational campaigns drive higher engagement, better conversion rates, and significantly reduce returns. Remember, you're not just selling a product — you're providing a solution, building relationships, and fostering long-term success in your brand.
Let the campaigns do all the work, and book a demo with Gorgias if you’re not leveraging Convert campaigns already.

TL;DR:
Let’s stop with the doom and gloom ecommerce trends and talk about what’s really up: growth.
Yep, you read that right.
Ecommerce sales are set to soar by 8.8% in 2024, and the digital marketplace is ripe with opportunity.
Sure, we’ve all been budget-conscious for the past year or more—businesses and consumers alike. And we’re not saying you shouldn’t be.
Despite that, there is a ton of opportunity to grow your sales this year. It’s just time to understand how consumer behavior is shifting and how you should adapt to it.
So, what’s changing? We shared six trends to know about below.
{{lead-magnet-1}}
There’s no denying that the more budget-conscious mindset is creating longer consideration times.
According to a 2023 consumer behavior report from Knocommerce, only 23.4% of shoppers reported discovering a brand and making a purchase on the same day.
Meanwhile, 15.3% reported buying in the first week, and 61.3% of people reported taking longer than a week to make their first purchase.
It's imperative to adopt a full-funnel approach and strategically engage customers at every stage of their buying journey.
How? First, you must understand what they need to learn about your products, when they need to learn it, and which customer service channels and content formats they prefer for learning about your products.
Part of the issue is knowing how to simply be available for your customers. They shouldn’t feel like they’re on a scavenger hunt on your website, trying to track down your product FAQs and contact information.
Helpdesks are a great way to solve both issues. For example, with Gorgias onsite campaigns, you can recommend products to shoppers in a subtle way, typically at various stages of their buying cycle like:


Over half of consumers (55% to be exact) rank search as their top source for pre-purchase information.
Despite what some marketing gurus share online, SEO is still an essential part of any brand’s growth strategy. Don’t sleep on SEO as an acquisition channel.
Don’t forget the basics of SEO.
We know it’s easy to forget when to set up an internal link or use a specific keyword, but there are a few best practices you should use to make sure your SEO engine is chugging alone:
Remember, SEO takes time to build. Two things you should know:
Essentially, what you do today will shape your results next year, which is why it’s worth investing ASAP.
According to a report by Salesforce, 74% of customers express concerns about the unethical use of AI. Additionally, 80% emphasize the importance of human validation of AI output.
Can shoppers be any more clear about the fact that we need a human-centered approach to AI implementation?
AI is impacting how customers trust businesses. Plain and simple, you need to implement an ethical strategy and make sure it’s managed by humans.
There’s a fine balance between speed to resolution and adding a human element to every customer message. And you can have both automation and humans running the show.
Businesses that take this approach meet customer expectations for AI safeguards while driving operational efficiency and delivering exceptional customer experiences.
The proof is in the pudding: According to Gorgias data, within just 28 days, merchants who automated up to 20% of tickets experienced an impressive 8-point increase in repeat purchase rates.
Automation goes beyond keyboard shortcuts or macros; it serves as a hands-off assistant capable of engaging customers and impacting revenue significantly—while making it easy for a human to jump in at any point for more specific customer inquiries.
TL;DR: Don’t be afraid to embrace automation as a strategic tool for customer engagement and growth.
Returns are an inevitable part of ecommerce, with up to 30% of sales potentially resulting in returns.
Contrary to common belief, returns are not a cost center—they can be transformed into a profit driver and a valuable touchpoint for enhancing customer loyalty and retention.
In fact, 91% of consumers actively track their packages, indicating a high level of interest and engagement in the returns process.
By making it easy for customers to track returns and exchanges directly from the order tracking page, you reduce return-related support tickets while providing a transparent experience for buyers.
TL;DR: A well-handled return can start a new chapter in the customer's relationship with a brand, not the final page.
At the end of the day, returns can be costly… Unless you customize the returns experience based on shopper segments and save time to re-allocate to other growth-related initiatives.
Some tips:

Read more: Ecommerce returns: 10 best practices for taking your online store to the next level
A staggering 79% of customers expect consistent interactions across different departments. Unfortunately, only 45% of customers feel that companies currently provide such consistency.
Additionally, 56% of customers report the frustration of having to repeat or re-explain information to different representatives, highlighting the disconnect between departments within organizations.
PwC states that 44% of consumers are willing to engage with chatbots to seek product information before making a purchase, making it even more important to have consistency across departments.
Today, customer support teams play a dual role as both problem solvers for post-purchase inquiries and guides for customers exploring products before buying.
Your support team must understand how to provide consistent support, pre-sale and post-sale. No matter where a buyer is in their journey, every message should feel consistent with the rest of the brand’s ethos.
Our recommendation?
First, develop templates and macros for customer communication to ensure consistency in tone of voice. By providing standardized responses, businesses can maintain a cohesive brand identity and deliver a seamless experience to customers.
Second, keep all customer information in one centralized location to avoid the need for repetitive inquiries and ensure a holistic view of each customer's interaction history with the brand. No one should have to repeat themselves when trying to get support.
Last, promote a customer-first mindset across the entire organization by prioritizing the needs and preferences of customers in all decision-making processes. For a real-life example of what this looks like, Amanda Kwasniewicz, VP of Customer Experience, shares the strategies she uses at Love Wellness in this article here.
(Teaser: the team shares customer feedback directly in Slack for the whole company to see.)

You’re likely already aware that Gmail, Yahoo, and others are imposing stricter rules for inbox placement, making it harder for marketing emails to reach their intended recipients.
Not only that, but according to Klaviyo's benchmark report, email-placed order rates have remained stagnant, with only a minimal increase from Q1-Q3, reaching just 0.8%, and a slight rise to 0.9% in Q4.
PWC also shares that TV and social ads remain highly influential in customers’ purchase decisions, whereas email is closer to the bottom. This doesn’t mean you should stop investing in email marketing, but connecting with customers in other ways is a good idea to supplement your email efforts.
You can explore many other channels—SMS, direct mail, mobile apps. Even voice marketing is a super unique and niche way to connect with audiences today.
Here at Gorgias, we’re experts at customer experience marketing, and using conversational customer service is a great way to engage with customers directly and personally—without hoping the message hits their inbox and not the spam folder.
This communication style engages customers using various channels, including live chat, messaging apps, chatbots, and even voice support.
For example, skincare brand Topicals increased sales by 78% using conversational customer support. Specifically, the brand uses Flows to automate answers to common questions, such as:
All of this takes place within a self-service chat. These chat flows also guide shoppers to additional helpful resources in Topicals' Help Center or product pages. If a customer still has unanswered questions, a customer support agent can take over the conversation and chat with them directly.

If there’s one thing we’ll leave you with, it’s this:
Embrace the shifts, leverage the trends, and explore new avenues of engagement.
You don’t have to be scared of new customer expectations, and thankfully, there are a ton of awesome tools out there now that make it easier than ever before to connect with your buyers.
With Gorgias, you can set up conversational marketing across your website, connecting with customers in ways that resonate and drive results. You can try it out for yourself here.
{{lead-magnet-2}}

TL;DR:
For most CX teams, budgets are getting tighter, but tickets are on the rise.
With strapped teams and incoming customer issues, automation is becoming an ideal tool.
94% of Gorgias customers agree, according to our recent survey.
Supporting automation in your workflow now is a surefire way to set your team up for success. Let’s explore why we’ll see an AI and automation-driven future within CX.
{{lead-magnet-1}}
Happy customers are the best fuel for growth. Why?
Happy customers want to come back to shop with you, and we know that repeat customers give long-term value to your brand.
Findings from 12,000+ Gorgias merchants show that repeat customers:
Our research also found that it is five times less expensive for a brand to retain an existing customer than it is to source a new one.
If you want to see improvement in your repeat purchase rates, automation is the way to go. Automation can handle repetitive inquiries from customers, like “Where’s my order?” so your team can focus on high-touch problems.
Brands that use Gorgias to fuel automation see improved repeat purchase rates. Within 28 days, merchants who automated up to 20% of tickets increased their repeat purchase rate by 8 points.
Gorgias's research found that 90% of U.S. customers expect an immediate customer service response. Of those customers, 60% want that response in 10 minutes or less.
A significant advantage of automation is that it effectively gives you a zero-second response time. When you trust automation to handle even a tiny percentage of your incoming tickets, you will see a decrease in your first-response time (FRT).
After Shinesty implemented Gorgias AI Agent, the company saw a 65% boost in its first response time. This change in FRT made a monumental impact on the support team's workload.
Thanks to AI Agent, Shinesty is able to deflect 55% of incoming tickets with automation, giving CX agents more time to deliver personalized and proactive support to customers.
On this improvement, Molly Kerrigan, Senior Director of Retention at Shinesty, says:
“AI Agent has allowed us to focus on improving customer experience from the ground up, because we're not so deep in ‘ticket town.’”
Thanks to automation features from Gorgias, Shinesty gained the best of both worlds, providing excellent customer service while saving the budget.
An added benefit of lightning-fast response times is getting to a resolution faster. This is more than just a nice-to-have — it makes your customers happier.
As we said earlier, happy customers are more likely to shop again and cite an overall more positive experience with your brand. This is a full-circle moment that shows how a slight change in workflow can lead to significantly positive results.
In 2022, Gorgias studied over 10,000 ecommerce brands to understand the connection between customer experience and growth. We found that lowering the average resolution time to under 6 hours gave companies a 2% boost in revenue.
With Gorgias, customers see resolution times improve dramatically, with automatically handled tickets resolving issues 52% faster than those handled without.

That happened at Psycho Bunny, where the customer support team saw resolution times improve by a staggering 99.4% after implementing Gorgias AI Agent to automate 26% of customer tickets.
With AI Agent to support the team, Psycho Bunny’s human customer support agents were free to spend more time on higher-value tasks beyond answering FAQs.
“Our customer support KPIs are already fantastic: we're already leading in the industry,” says Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny. “To improve on that, we need AI — it’s not physically or financially possible with human agents alone.”
Growth is always the goal, and incorporating automation into your existing CX workflow is a tool for achieving that growth.
Brands that use Gorgias's automation tools can successfully scale their customer service operations quickly.
For example, just 30 days after deploying Gorgias's automation features, brands see an average 1% increase in CSAT.
It's a small move in the meter that has a long-lasting impact on team morale, improved customer interactions, and a more positive experience for shoppers.
Obvi relies on Gorgias’s automation features to efficiently handle 150+ tickets each day with a slim team.
AI Agent manages about 27% of Obvi’s incoming tickets — which consist of low-priority, simple, or repetitive customer inquiries. This frees up the support team to answer complex tickets and drive sales, leading to an astonishing 10x boost in revenue over BFCM.
Even better, Obvi was able to achieve all of this after onboarding Gorgias in just two weeks.
“AI is going to help us transform ourselves into deeper thinkers by taking over simple, standardized functions,” says Ron Shah, CEO and Co-founder at Obvi. “In the ecommerce world, Gorgias is getting ahead with doing that for customer support — they’re the center of the AI revolution, and that is the standard customers are expecting.”
Your team can focus on more meaningful work by automating responses to repetitive questions or low-priority tickets.
Quickly solving a customer's problem also means they can get back to checkout faster.
But remember, automation is a tool, not a replacement for human agents. Automation helps teams of all sizes drive value, gaining extra support without spending more overhead.
July turns to AI Agent to tackle 30% of incoming tickets, taking on the workload of three extra agents.
In this case, the company has the demand to support a bigger team but not the budget. Automation helps July fill this gap to provide a seamless customer experience without overextending their human teammates.
“We immediately deflected 450 tickets a month just by setting up some automated Flows,” says Alex Naoumidis, Head of Operations and CX at July.
“Now, we don’t waste the customer or the agent’s time with basic questions that probably don’t require any human interaction.”
Gorgias is leading the revolution in conversational AI for ecommerce.
Features like our AI-generated Help Center, AI Agent, Flows, and Quick Responses allow brands to autonomously answer customer questions and track and measure AI-customer interactions to create more meaningful customer experiences and transform how support is delivered.
Start a free trial to see Gorgias AI Agent and automation features in action.
{{lead-magnet-2}}

Unfortunately, many shoppers struggle to find the information they need while shopping online, even when self-service portals should be standard, according to 88% of consumers.
At Gorgias, we focus on simplifying customer experiences with AI and automation tools. Our automation tool, Flows, is a self-service feature that delivers shoppers instant answers throughout the entire buying journey, whether it’s to find the right size or track an order.
Keep reading, and we’ll show you how to leverage self-service options at every customer touchpoint using Flows. We’ll start with 10 Flows examples from ecommerce brands, show you how to do it yourself on Gorgias, and then put all the learnings together with some best practices.
{{lead-magnet-1}}
Flows are designed to initiate simple interactions that quickly guide shoppers to the information or actions they need. They minimize website bounce rates and enhance automation rates for ecommerce customer support teams.
Flows enhance your website's chat by automating interactions with customers. They provide an immediate automated response with just one click or guide customers through a branching path that caters to their specific needs. This path could include multiple-choice questions or even prompt customers to log in and select an order.
Effective ways to use Flows:
Read more: The types of Flow steps
Flows are so versatile that they can be used for every type of shopping experience, whether a shopper has just discovered you or they’re already a dedicated brand advocate.
We’ll go through 10 use cases that could benefit from a Flow, show you how real ecommerce brands use them, and how you can make them yourself with Gorgias AI Agent.
Provide instant answers to customers' shipping inquiries with an easy-to-access shipping policy Flow directly on your website. This Flow efficiently resolves questions about shipping times and fees, helping customers quickly go from browsing to buying.
Nomad states their shipping policy in a Flow that conveniently answers processing time, shipping time, and shipping rates:
Gorgias has a templated Flow to get you started. Here's what a shipping policy Flow might look like:

If a customer isn’t satisfied with your product, don’t make it harder for them to return it. A returns Flow not only clarifies your return policy to motivate a customer who's on the fence but also connects them directly to the right process to start a return or exchange. All they have to do is enter their order number and email, and they’re done.
No handling it on the agent side and waiting from the customer end.
Try out bag brand CALPAK’s returns Flow in the tour below:
Gorgias has a templated Flow to get you started. Here's what a return and exchange Flow might look like:

A product-matching quiz can solve decision fatigue if shoppers are faced with multiple versions of a product — like a supplement for different concerns, beverage flavors, or makeup for different skin tones.
Sol de Janeiro, the fast-growing body care brand, boasts shower gels, body creams, and fragrances of different scents and colors. To prevent customers from feeling overwhelmed, Sol de Janeiro offers product-matching quizzes.
For example, their What body cream is right for me? quiz asks customers about their main skin concern. If a customer’s concern is smooth skin, they’ll recommend a body cream supporting skin elasticity. If the concern is firmer-looking skin, they recommend a cream rich in antioxidants.
Here’s what the Flow looks like on Sol de Janeiro’s website:
Gorgias has a templated Flow to get you started. Here's what a simple product recommendation Flow might look like:

Seventy-four percent of customers forget they’re paying for a subscription, based on C+R Research. Keep customer relationships honest and show customers that they have full control over their memberships, whether they want to upgrade, downgrade, or cancel their subscription plans.
Even if you have a customer portal for managing subscriptions, not all customers will look for it on their own. A Flow can bridge this gap by guiding customers directly to the portal while significantly reducing the volume of subscription-related tickets in your inbox.
Online vet care service Dutch lays it all out with a subscription management Flow, providing customers with straightforward instructions:
Gorgias has a templated Flow to get you started. Here's what a subscription management Flow might look like:

Big ticket purchases need extra support in case of defective parts. Tell customers you’ve got their back by displaying your warranty policy upfront. You’ll ease their concerns and earn their loyalty knowing their premium buy is protected.
Bidet brand TUSHY sells premium bidets. To provide similarly premium customer experiences, they have a 12-month guarantee on equipment and parts. They present their warranty policy Flow on their website:
Gorgias has a templated Flow to get you started. Here's what a warranty policy Flow might look like:

“Sold Out” or “Out of Stock” aren’t the nicest words to see on a product page, especially if you’re a repeat customer ready to buy your favorite product. To keep customers in the loop, create a Flow that lets them know the status of your products.
For the baby stroller brand Zoe, popular products sell out quickly. To efficiently manage customer inquiries, they created a When are you expecting a restock? Flow. It informs customers about product availability and also encourages them to leave their email address or SMS number. This ensures they can purchase a stroller as soon as it's back in stock and allows Zoe to connect with them for future marketing efforts.
Here's what a restock notification Flow might look like:

Products may require additional assistance depending on their usage. These can be products like electronics, apparel, and furniture. If customers are asking the same troubleshooting question, it would be best to add a troubleshooting Flow.
Check out how CAKES handles product issues with a simple Troubleshoot Flow:
Gorgias has a templated Flow to get you started. Here's what a troubleshooting Flow might look like:
Nothing beats a warm welcome, especially for new customers who are just starting their journey with your brand. A welcome Flow is essential for engaging these newcomers right from the start. It provides them with crucial product education and relevant information, setting the tone for a supportive customer relationship.
Take a look at how Crunch Labs, STEM building kits for kids, assists customers with a welcome Flow:
Here's what a welcome Flow might look like:

Apparel brands face frequent sizing inquiries that can lead to returns. A sizing guide Flow provides clear, self-service information upfront, reducing sizing issues. This Flow acts as a self-service tool that customers can use to find their correct size before purchasing.
Here’s how gender-inclusive apparel brand Both& guides customers to the right size:
Gorgias has a templated Flow to get you started. Here's what a sizing guide Flow might look like:

Unanswered pre-sales questions can deter purchases. A pre-sales question Flow delivers immediate, thorough answers, leads to a boost in customer confidence, and reduces post-purchase dissatisfaction.
Organic soap brand Dr. Bronner’s provides shelf life information for all their products with a Flow:
Here's what a pre-sales question Flow might look like:

Single-step Flows are the most engaging Flows because there’s no opportunity for shoppers to drop off. Single-step Flows can link out to additional resources, like a Help Center article or a returns and subscription portal through tools like Loop Returns or Recharge.
💡 Pro Tip: Keep Flows to a maximum of five steps. Any more and you're likely to lose customers’ attention.
Online stores’ top-performing Flows are almost always about shipping and return policies. Make sure to anticipate customer questions by creating a Flow for each policy, succinctly answering questions like:
Shipping Policy:
Return Policy:
Flows will not appear for shoppers unless the language of the Flow matches the language of the shopper's browser — including regional languages.
If a Flow is only in English (UK), it will not show up for American shoppers whose browsers are in English (US).
If you sell internationally, we highly recommend adding all possible languages to Flows, including regional languages.
Note: Gorgias Chat supports 15 languages, including English (US and UK), French (France and Canada), Spanish, Danish, Swedish, Italian, Dutch, German, Norwegian, Czech, Brazilian Portuguese, Japanese, and Finnish.
Read more: Multi-language support for Chat
Flows often automate interactions when they send customers to another page (like a Recharge login page or a Loop portal, or even sometimes a Help Center article).
If a customer’s inquiry could be solved with one of these tools, include a link to the right page in the Flow’s automated answer.
Join brands like Shinesty that use AI Agent to transform their customer experience. By using our AI and automation features, Shinesty has been able to automate over 50% of their customer tickets.
Book a demo now and be a part of the 15,000+ ecommerce brands using Gorgias to transform their customer experiences.
{{lead-magnet-2}}

TL;DR:
Live chat users wait an average of 30 seconds before they get an answer. However, large language models like ChatGPT have flipped customer expectations with unbeatable rapid responses.
Thirty-second replies may be possible for customer service teams who handle one chat conversation at a time — assuming they have deep product knowledge — but agents who handle multiple chats will be hard-pressed to beat that average.
Chat automation is the best way to offer instant support without an agent. Automating chat means customers get support 24/7 in multiple languages and relevant answers in seconds. More importantly, agents can provide more meaningful customer experiences because they don’t have to monitor chat.
Below, learn how to turn live chat into an automated channel in four steps with Gorgias Automate. Then, we’ll go over how three ecommerce brands overcame some of the most common chat challenges.
{{lead-magnet-1}}
Automating live chat support results in a win-win situation for agents and customers. These are the five instant benefits you get when automating chat.
Automated chat responses mean team members don’t need to operate chat unless customers specifically ask for human support.
Using automation as your first line of defense means fewer repetitive tickets and more time for agents to take care of urgent, customer-specific inquiries.
According to Tidio, around 73% of customers prefer to find answers on their own as opposed to getting them from a support rep. Automated chat provides easy-to-receive answers and is a simple way to let customers self-serve without the wait time.
Listen to how shoe brand Merry People uses Gorgias Automate’s chat-based automation features called Flows to cut response time down by 60%:
Having a live chat widget may be an excellent way to expand customer support, but its functionality is also limited by your business hours and agent availability.
With automated chat, these concerns disappear since chat can remain active even when your agents are off the clock.
Read more: There’s more to chat than you think: debunking 5 chat myths
According to a survey by CSA Research, 40% of customers will not buy from websites in other languages.
With multi-language automated chat, you don’t have to worry about losing prospective customers. Rather, it’ll be easier for you to turn website visitors into repeat shoppers.
Gorgias Chat is a multi-language chat solution that can serve shoppers from anywhere. Languages include English (US and UK), French (France and Canada), Spanish, Danish, Swedish, Italian, Dutch, German, Norwegian, Czech, Brazilian Portuguese, Japanese, and Finnish.
Chances are, customers on chat will ask one of these questions:
If you’re used to manually responding to these questions, know that there’s a faster way. Once you’ve identified your brand’s most asked questions, you can automate the answers to them, eliminating the need to type out replies on chat.
If you have chat on your website, you’re halfway there. The next step is automating it to start reaping the benefits. Here’s how to use Gorgias Automate to automate chat in four steps.
{{lead-magnet-2}}
Automated chat’s main ability is to answer frequently asked questions. You probably know that tickets with FAQs can pile up extremely quickly, causing your agents to miss the important questions.
To automate FAQs, use Quick Responses. These are one-click Q&A scenarios displayed on chat for customers to quickly get the answers they need. You can activate up to six responses and may toggle questions on and off to save them for later.
![]() |
💡 Pro Tip: Gorgias Chat is multi-language and automatically detects a shopper’s default language based on their browser settings. This way, you can provide global support without hiring additional agents.
A third of online purchases are returned which means agents ultimately spend time processing refunds. The most effective solution is to automate order management through chat so that agents can instead use the extra time upselling.
With Gorgias, you can provide a self-service returns portal through integrations like Loop. This allows customers to process returns on their own, making their shopping journey straightforward and strengthening their trust in your brand.
![]() |
💡 Pro Tip: Always encourage exchanges by recommending products in a different size or variant or a product of a similar value. This way, customers can still experience what you have to offer without requesting a refund.
Check it out: Return policy template generator
Flows are more dynamic than Quick Responses and let you create personalized and interactive conversations. The resulting answer or action of these Flows all depends on the customer’s input, enabling you to deliver answers for every type of shopper.
As the name suggests, Flows are based on a flowchart structure and are best used for questions that have multiple answers. Here are some ways you can use Flows:
![]() |
For more comprehensive answers, turn to Article Recommendations. When customers ask a question on chat, Gorgias AI finds the most relevant article to send. These articles are pulled right from your Help Center or customer-facing knowledge base.
To get Article Recommendations on chat, you’ll need to first populate your Help Center with articles your customers care about.
Here are some Help Center articles to get you started:
![]() |
Related: How to optimize your Help Center for AI Agent
If you still have some hesitation about automating chat, it’s time to clear them up. Let’s take a look at real use cases and how three ecommerce brands have cleared up misconceptions about automated chat myths with Gorgias Automate.
Solution: No coding or special add-ons are required to set up automated chat.
With Gorgias Automate, you can set up Quick Responses, Flows, Order Management, and Article Recommendations in a matter of minutes. Each feature can be toggled on or off, helping you shorten setup time and offer support in whatever way is best for your brand.
Collagen supplement brand Obvi found Automate’s user experience to be intuitive, setting up chat just a few weeks before Black Friday–Cyber Monday. They were able to increase conversion rates (CRO) and earn $10,000 in revenue just by activating automated chat.
Here’s how Obvi’s CEO, Ronak Shah, benefited from using Gorgias Automate:
Solution: Automated responses deliver instant resolutions, which keep ticket volumes low.
Tickets are only created when customers talk to live agents. This allows customers to solve issues on their own, unlike when using social media for support.
Underwear brand Shinesty uses Flows to address a variety of inquiries, from account registration to order tracking. Their Flows are so effective that 90% of the time, inquiries are completely resolved by automation.
![]() |
Here’s how Shinesty’s four-person team increases customer satisfaction scores with Automate:
Solution: Automation is customizable and acts on parameters set by you.
Unlike AI chatbots or generative AI which produces responses through machine learning, automated chat uses responses defined by you.
In Gorgias, you can customize Quick Responses and Flows with your brand voice in mind. This guarantees that customer messaging is always relevant, on-brand, and accurate. Chat cannot compose brand-new answers on its own.
According to Alex Naoumidis, Head of Operations and CX at July, Flows helped their support team accomplish the work of three agents. They were still able to provide a human touch, resulting in 450 tickets deflected.
If the success stories of these brands have inspired you to upgrade your customer experience, it’s time to see what Gorgias Automate can do for you.
Setup is straightforward — no coding needed — and you can start seeing improvements in your customer agents’ workflow and your customers’ satisfaction straight away.
Book a demo with Gorgias today and discover how chat automation can streamline your operations and increase customer engagement.

