

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.
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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.
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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.
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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.
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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.
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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.
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TL;DR:
Nowhere is the customer experience more important than on your website. CX is so much more than post-purchase troubleshooting. CX that grows your brand makes the entire buying journey as effortless as possible, from the first ad to the 10th item purchased.
Your website isn’t only the marketing team’s domain. Your support team’s input is crucial to ensure customers can find all the answers they need without waiting around.
With a better website experience for your customers, you enable more sales and reduce the repetitive inquiries for your agents.
Here are some tips to enrich your website with CX automations that will delight your customers and your team.
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With 63% of consumers expecting service agents to know their unique needs and preferences, your efforts should be focused on improving support speed and responsiveness — and that starts with automation.
Here are the five benefits of automating your customer experience:
If done correctly, your website's UX should be so intuitive and smooth that shoppers barely notice it. For ecommerce stores, a well-thought-out website UX consists of everything from a logical menu to a straightforward checkout flow.
Below, pay attention to the following website elements as they directly influence the buying journey and can impact customer satisfaction.
Engaging and detailed product descriptions add substantial value by influencing buying decisions and simplifying the shopping experience.
Take a look at how Good Protein keeps descriptions engaging but short in three bullet points, includes social proof by displaying customer ratings, and provides flavor, size, and subscription options in one section:

According to Airship’s 11,000-respondent survey, 76% of shoppers shop through retailers’ mobile websites. With a significant portion of online sales coming from smartphones, it’s best to test your website on mobile devices. If users can’t complete a purchase through mobile, you lose out on a large fraction of sales.
Reducing distractions like unnecessary pop-ups and banners keeps the shopper focused on the main goal of conversion. Streamlining content to spotlight key campaigns or product launches can dramatically improve conversion rates.
Fast-loading pages are crucial for keeping potential customers engaged. Delays can significantly deter shoppers, as studies show that even a one-second delay in page loading can reduce conversions by 7%.
Check out Google’s PageSpeed Insights to assess your website's performance.
Simplifying the checkout process and providing multiple payment options, such as guest checkout, removes common barriers to conversion by offering a convenient purchasing process.
Swimwear brand TRIANGL makes shopping easy and fast by adding a Quick Buy button to every product:

Tools like live chat or help centers provide a portal through fast support. AI-powered support tools like Gorgias Automate combine automated responses with the option for human interaction, ensuring customer inquiries are addressed promptly.
This integration of website UX with automated customer experience strategies creates a more efficient, enjoyable, and productive shopping environment that exceeds customer expectations.
Related: Stop Marketing, Start Converting playbook
Keeping your customer support options visible is the key to prepping your website for automation.
Follow these five methods to provide easily accessible support routes, simplify communication, and help customers quickly find the information they need.
When you hear “chat,” you may think about not having enough bandwidth to offer live chat all the time. Well, that’s just a common chat myth.
In fact, chat doesn’t require agents to operate 24/7. You can configure live chat to only be active during your busiest hours or even deactivate it altogether and replace it with automated FAQs to keep customer questions answered throughout the day.
Here’s how ALOHAS keeps their chat running using Gorgias Automate’s Quick Responses:

Beyond automating common questions, chat can also accomplish other support-related tasks:
Don’t forget that chat is one of the most visible components on your website. Make sure the chat dialog can be minimized and hidden to avoid disrupting the shopping journey.
Leaving your customer support email on your contact page is the equivalent of leaving plain URLs on your website — it’s disorganized and can attract spam like no other channel.
Contact forms are far superior to email links because they collect all necessary information (like issue type and contact information). This helps agents provide resolutions as efficiently as possible because tickets are already structured and include the necessary details.
For example, Gorgias Chat includes Offline Capture to collect customer inquiries while agents are offline. Gorgias Helpdesk then uses the structured information to detect customer intent, making interactions easier to manage.

Make your Help Center visible no matter which page shoppers are on. Displaying important customer support resources like this in your website's header, footer, and various emails like marketing messages and order confirmations allows customers to self-serve, without having to contact a live agent.
With Gorgias, you can use one-page Help Centers to create a seamless experience from one page to another on your online store. This setup allows customers to quickly find the answers they need, improving accessibility while reducing the demand on your team.
Here’s what clothing brand Princess Polly’s one-page Help Center looks like:

Updating your knowledge base, whether it's a Gorgias Help Center or another FAQ page, directly impacts the customer journey. Gorgias's AI Agent uses the Help Center as its primary source to autonomously handle over 30% of customer email inquiries, drawing on articles that cover necessary topics like shipping, orders, product information, and account management.
To optimize your Help Center for AI, ensure your content is comprehensive and current, particularly in areas such as policies and product updates. All articles should be published, not saved as drafts, to be accessible to AI Agent. Regularly reviewing your articles encourages customer self-service and reduces reliance on agent assistance.
Targeted onsite campaigns on product pages educate customers and boost confidence, especially when tailored to your top-selling products. For instance, when items are out of stock, campaigns can redirect customers to similar products, as demonstrated by Glamnetic during their product launches.
Additionally, Gorgias Convert chat campaigns like those used by Manduka, which highlight product guarantees, provide valuable pre-sales information that mimics the support of a physical store.
Related: Convert Campaigns playbook
There are pitfalls to avoid when optimizing your website for better user experiences. Keep the user journey simple and always provide options for human assistance like live email or voice. Below are three key mistakes to steer clear of.
The user journey includes all interactions from browsing to the post-purchase experience, and automation should make this process seamless, not hinder it. Avoid adding unnecessary steps or making critical information hard to find, as this can disrupt the shopping experience and force customers to seek help when it isn't needed.
For instance, include a guest checkout option on the checkout page to simplify purchases, and ensure that links to your Help Center or Contact page are easily accessible in the top navigation.
Watch out for these common elements that can confuse the user journey:
Automation is valuable but don’t rely on it — it's still important to provide avenues for human assistance when needed. This includes support options like live chat, email, phone, and social media.
The key is balance: make it easy for them to reach out to human support once they realize self-service options are insufficient. This might involve including contact options in a Help Center or contact page rather than displaying raw email addresses everywhere.
Maintaining an optimized website requires data-driven testing and optimization. You can improve your website by following customer feedback and suggestions. Once changes have been applied, monitoring performance metrics and user behavior can ensure the user journey remains solid.
Metrics to track:
July, a leading luggage brand, uses the power of Gorgias Automate to deliver unbeatable user experiences. With Automate, routine tasks typically handled by level 1 agents are accomplished automatically. Agents are then able to free up valuable resources to focus on more complex inquiries.
Ready to elevate your CX game? Book a demo today and unlock the full potential of automation for your business.
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Today, we’re sharing that we raised $29 million in Series C-2 funding from our existing investors, including Shopify.
Throughout the lifetime of Gorgias, we’ve always believed that great CX can be the main channel for growth for brands. Now, we believe that AI empowers any brand to realize that potential.
Most CX leaders agree, with 94% out of 1,000+ agreeing automation is becoming more essential to CX.
Funding will specifically be used to support AI Agent – a fully autonomous AI teammate built on brands’ own knowledge bases, data, and integrations, powered by OpenAI's newest model, GPT-4o.
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AI has changed the landscape of digital technology. The best comparison is in the early 2000s, when the internet boomed and innovation followed.
Brands like Netflix embraced the change, evolving alongside their customers' expectations, while brands like Blockbuster tried to stick with the old ways. Now, one of those brands is a Fortune 500 company and the other is a nostalgic throwback.
Now, in the 2020s, artificial intelligence is lowering overhead, automating cognition, accelerating processes, and so much more. Brands – from software companies like Gorgias to ecommerce brands like the ones we serve – must lean into these new technologies to continue growing.
That’s why we’ve made the conscious decision to go all in on AI and automated CX. We truly believe that AI-powered solutions are the best way to help ecommerce brands on Gorgias grow and succeed.
Our recent research shows that brands who automate their CX see:
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AI is your instant Level 1 support. Use it to handle repetitive, basic questions quickly, to meet customer expectations, at a lower cost than hiring human staff.
Reliable AI frees CX teams to do more than what they previously thought possible, such as opening up new channels like Voice or Live Chat and freeing up your team to focus on high-impact conversations, strategy, and other important projects that get neglected when you’re drowning in tickets.
“The combination of AI and human agents is the future of support,” said Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny.
Gorgias has processed 500 million tickets — every single one of them from ecommerce brands — which give us the data points and knowledge we need to build the best AI tool for ecommerce.
We also integrate deeply with 100 ecommerce apps like Shopify, Recharge, Loop Returns, and Klaviyo. This means that AI built with Gorgias has access to more data from your ecommerce tech stack, and can push updates to those apps as well.
“The combination of AI and human agents is the future of support”
— Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny
We cannot stress enough the value of these data points and integrations to power CX. Without these, AI can only offer ChatGPT-style answers. It cannot pull up customer information to personalize a response or find information like order status and loyalty points. Likewise, it cannot process a partial refund or update a subscription.
With more data and integrations than any other CX tool built for ecommerce, we’re confident our AI will provide accurate, personalized, and helpful answers to our brands’ customers.
We’re committed to developing AI solutions that put you in full control. You’ll be able to:
And much more!
This means the way you work will shift: before, CX work was answering repetitive tickets over and over (and over). Now, you’ll use some of that time to monitor and improve your AI Agent and use the rest to tackle CX projects that have been on the back burner for months (if not years).
Powered by the latest ChatGPT model, GPT-4o, AI Agent can instantly answer tickets, perform actions in other apps, and match a brand's tone of voice, all while ensuring that human hand-off is always possible and smooth for the customer. It can drastically reduce your support time while earning higher CSAT scores than 95% of human agents.
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Launching in July, AI Agent is already being used by leading brands like Psycho Bunny. They’ve combined Automate and AI Agent to automate over 40% of inquiries across all channels, responding to and resolving them in minutes, not hours, all while achieving a higher CSAT than their human team.
Join the waitlist
“The AI Agent actually personalizes responses better than our human team, who sometimes just apply a Macro and hit send. The AI Agent restates parts of the customer’s questions helping them feel understood. Plus, of course, it’s super fast.”
— Anneliese Field, Customer Experience Manager at Love In Faith
AI Agent is just the next step in our evolution as a company.
Looking into the future, we’re using this new round of funding to develop AI-powered solutions to help you provide instant responses, gather insights to improve your CX, turn support agents into top sellers, and help you drive LTV through amazing customer experiences.

There’s no one-size-fits-all approach to customer service organizational structure, especially as business grows and your customer base evolves. Your customer support team structure includes the structure of your support team and how the support team fits into the larger company’s org chart.
Different-sized teams and companies have different challenges. As you set up your customer service team, you have to give the support team enough autonomy to set and achieve their own goals, but also make sure they’re set up to work cross-functionally with other parts of the business.
Below, we’ll go over the underlying principles of building your team’s structure, the challenges support teams face, and how to improve customer service with an organizational structure that fuels your people and your business.
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Having the right organizational structure can have a huge impact on business outcomes, including revenue and important metrics like response times. Without structure, it’s just agents answering questions repetitively and reactively.
As many as 27% of customers who place an order reach out to support at some point in the buying journey. And 88% say the experience a brand provides is equally as important as the product or services it sells.
Structure helps you improve the system so you’re spending more time on high-impact tasks, and specializing your team so they’re really fast and effective at the activities that drive the most impact — and this will ultimately boost the bottom line. After all, improving the customer experience can increase sales revenues by 2%–7% and profitability by 1%–2%.
One team structure could prioritize supporting customers in different languages and time zones, while other structures could help your agents specialize in wholesale service or certain product lines. None of these is inherently better or worse than the last — but choosing one that supports your unique needs and facilitates customer retention will set your team up for success.
If this article just said “Do what’s best for you,” then it wouldn’t be helpful. So to find the right customer service team structure for your business, see where these 43 underlying principles point you.
The most important principle is to build your team around your business structure and goals. If your business goal is to expand internationally, consider structuring your teams to operate out of various time zones and languages.
If your goal is to boost customer lifetime value with subscriptions, you could structure your team to be true consultants to ensure your customers succeed with your product and stick around.
Whether your business goals lead you to structure your team by specialty, product segment, geographic location, sales channel, or processes, don’t forget to take these plans into account when it comes to customer service hiring.
When you start as a small business, you can get to know the strengths of your team. In the early stages, everybody has to do everything. Strengths in specific areas begin to emerge. Then, you can specialize as you grow.
Build for the team you have, balanced with your business model and goals. Consider everyone’s interests, strengths, and goals, as well as what the business needs.
Is one team member really interested in larger wholesale deals, while the rest of the team prefers direct-to-consumer messaging? Consider creating a role for that wholesale-lover within the larger wholesale team. It’ll be great for specialization and creating day-to-day responsibilities that keep team members around.
When you're building your team, you might start by thinking about all the tasks that need to get done. But if you're starting from scratch, you can probably automate many of those tasks.
Before you build a team around these tasks, determine how you can build automated processes to avoid dedicating an entire salary that automation can do. Customer service outsourcing can also be a viable possibility.
Consider incorporating things like autoresponders to common queries or automatically routing queries to the appropriate team or person to create more efficiency. Both of these are excellent for customer satisfaction, and helping your agents focus on customer relationships.
With Gorgias Rules, for example, you can automatically tag, route, and assign support tickets to the right people. So your specialized teams can automatically get their tickets, for example. And Gorgias Automate, for example, includes automations for tagging, prioritizing, and responding.
It’s important your customer service team is the appropriate size. You don’t want too many agents who don’t have enough work to do—and you also don’t want too few, leading to poor customer support experiences.
So, how big is too big, and how small is too small? The following guidelines should be taken into consideration as a general rule of thumb:
Building an effective, revenue-driving customer service team isn’t without challenges. But those customer service challenges evolve as the business and team grow in size, so you’ll face unique obstacles through each phase of growth.
Extra small customer service teams are made up of less than 10 people, each of whom contributes to a little of everything.
To effectively implement and manage an extra small customer service team, it’s important to first hire agents who are willing to do a little bit of everything. During onboarding, ensure you train agents on all aspects of the job and department. Then train them for the future.
Training for the future involves developing people from day 1 to retain them for a long time. Identify early on who might be a good team leader or trainer once the team grows, and how to best leverage each individual’s skills and strengths to contribute to the overall business. You’ll likely have some folks who are more technically savvy while others might excel at people management. Keep these differences in mind.
As far as structure goes, you’ll have agents and a lead manager — no supervisors needed here.
Some strengths of extra small service teams include:
As far as weaknesses go, extra small teams:
Customer service teams with fewer than 20 people to be categorized as “small.” This is when you start to introduce more structural organization, since there are more people.
For small service teams, it’s still important to hire agents who are willing to do a little bit of everything, and to train them on this wide variety of tasks and responsibilities.
As you grow, it’s important to build and develop a small team for the future — when it’s not so small.
Again, no supervisors are needed. Hierarchy should consist of agents and a lead manager, just like with extra small teams. There might also be an interim manager who is responsible for strategy and business results. This person likely reports to a director or VP of customer care or experience, or something similar.
The strengths of small support teams are similar to those of extra-small teams:
Unique challenges small teams face include:
Customer service teams with 20-100 people to be categorized as “medium.”
Start by understanding where you’re at by evaluating customer service to see what your needs are, especially as it relates to segmenting your team and queries.
At this point, you need dedicated resourcing as things start to get more segmented. This is where you can create specialized field teams. For example, you may want to introduce technical support agents, or channel-specific agents (who handle phone support, social media support, or live chat support).
At Gorgias, for example, our billing department used to send support queries to the normal queue. But it’s so specialized, so billing really needed a team of people who just deal with those requests. So we created a field team in our service department that only handles billing queries. That field team is under its own dedicated lead. As another example, Stitch Fix routes warehouse tickets to a warehouse field team — another specialized department.
You might start creating field teams once you hit mid-sized, perhaps creating departments that specialize in billing, warehousing, refunds, strategy and reporting, or anything else that requires specific knowledge or access. Clear management roles and robust knowledge bases for your team become incredibly important at this stage.
As far as structure goes, mid-sized customer service teams should have agents who report to a supervisor, who reports to a manager, who reports to a director.
Each field team lead should interface with a strategy operational team who tells them what to do, so that lead can then translate and implement with their respective field team.
Strengths of mid-sized customer service teams include:
Some unique challenges mid-sized teams face include:
Customer service teams with 100-300 people are categorized as “large.”
Larger teams grow in complexity and involve even more field teams and more hierarchy. You’ll likely have one or more dedicated strategy operational teams that guide the actions of field teams. These strategy teams are more focused on the bigger picture, and they’re responsible for communicating their insights and vision to field team leads who can then work on implementation.
As the organization gets bigger, it gets more complex. More roles need to emerge, and your agents won’t necessarily be doing the same work. This is when efficiency becomes a priority because things can get convoluted. When scaling through smaller stages, you likely weren’t focused on things like cost savings.
As far as structure goes, you’ll see more silos start to emerge here — and you really need a seasoned manager once you hit 100 people. Hierarchy includes agents who report to a lead manager, who reports to a supervisor, who reports to a well-seasoned manager, who reports to a director, who then finally reports to a VP.
Leads should meet with direct reports every week. Directors may report to a VP who manages multiple types of work and directors from other departments. So they may not be as in tune with the rest of the customer service organization as they could be.
There are many advantages to large service teams, including:
Unique challenges large teams face include:
You’ll have different needs depending on how you structure your team. Let’s go over some different ways you can do this.
Product-based customer service structures can work well for companies with diverse product lines. For example, a health and wellness brand might have one team dedicated to its supplement product line, one for skincare, and one for haircare.
This approach helps foster subject matter experts within your service team. Agents specialize in a specific type of product, ideally knowing all the ins and outs and how to answer common queries. This is especially helpful when customers need a lot of education or consultation to find the right product or use it correctly.
On the other hand, there are potential limitations when it comes to cross-selling. If your team is only focused on product lines, you may not be able to encourage customers. Additionally, this can lead to fragmented interactions as customers ask about products from different areas of the business, outside of the team’s expertise.
A location-based approach works for dispersed or global companies. Companies that are truly international—they do business in different languages, they have location-specific offerings, etc.—might consider a location-based structure.
One of the advantages here is that you can cover lots of time zones and languages with minimal confusion or misunderstanding. It also allows for deeper cultural understandings of different customer segments.
On the flip side, location-based service teams can be very disjointed. They might not interface with one another, either due to time zones or language barriers, and this leads to limited knowledge sharing. Developing each department of your service team similarly can be challenging for managers as well.
A function-based structure is when the customer support department is its own team which reports directly to company leadership, rather than dedicated senior-level customer service members. This positions support as its own strategic decision-making part of the business, not just a support for other teams.
This approach typically works best for companies and teams on the smaller side, since they don’t need too much specialization across locations or product lines. A strong company culture is required for this structure to be effective.
A function-based structure leads to a unified support team with a strong sense of community — and its support-expert leader — both of which are great for morale, performance, and team retention.
However, it can also lead to a lack of specialization within the support team and difficulty collaborating cross-functionally with other parts of the business. If all your team is concerned about is resolving customer issues, you’ll never work with other teams to ensure customer success across all areas of the business.
A segment-based customer service structure is when teams are dedicated to specific customer segments. This might be sales channels such as B2B vs. B2C vs. wholesale, or customer types like subscribers vs. one-time purchasers.
The advantage here is that you can deliver service to different types of experiences to align with different customer expectations. The questions a wholesale customer asks are likely to be very different than those from a direct consumer — and good customer service will look different for each group, too. Dividing your service team in such a way helps reps specialize and provide great customer service to every customer.
This model only works for companies that have distinct customer segments with unique needs.
Customer service teams can use Gorgias to custom-build their team every step of the way — after all your support team is on the frontlines and has a huge impact on customer loyalty.
Gorgias has multiple user roles to reflect your structure and give everyone the right permissions, useful both when you’re just starting out and when you’ve scaled to be a large customer service team of hundreds of people.
Book a demo to learn more about how Gorgias helps your entire team contribute to a CX engine that grows your business.
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TL;DR:
At this point, you’re already well aware that CX is now proving itself to be an invaluable acquisition tool — not just a retention lever.
But to drive the hammer home, we looked into our database to see how CX-focused strategies like onsite campaigns enhance the customer journey and drive substantial increases in sales and conversion rates, specifically with Gorgias Convert.
Using these well-curated campaigns, businesses like Manduka have witnessed a remarkable increase in revenue — approximately $130,000.
We’ll show you how you can achieve similar results and why it’s a crucial marketing strategy — just as important as paid and email marketing.

Gorgias Convert is an onsite revenue generation tool that helps ecommerce brands boost their conversions by over 6% — and it isn’t your typical intrusive pop-up. This feature seamlessly integrates with your website, recommending products to shoppers in a subtle but still captivating way.
Targeting customer segments based on their browsing behaviors, Convert makes timely and relevant suggestions via chat.
Here are a few ways you can use it:
Imagine this: someone clicks on your social media ad for acne removal solutions, lands on your site, and isn’t just greeted with a standard product page but accompanied by a personalized message that offers valuable product education.
In fact, Gorgias users see that we typically generate $20 for every $1 spent. So think of onsite campaigns as a way to make your ad dollars work harder with a more personalized experience by:
Here’s a fun example from TUSHY, the modern bidet company.
When customers visit a bidet page, they receive a message from TUSHY’s support team, letting them know about their toilet compatibility page to help them select the right bidet:

Here’s something many brands get wrong about ecommerce upselling: It’s not about pushing the most expensive items; it’s about showing customers the value of an upgrade that’s complementary to the problems they’re already trying to solve.
As your customers shop, Gorgias Convert suggests complementary items. It’s like when you’re in a store and an associate suggests a tie to match the shirt you’re buying.
Manduka uses these campaigns brilliantly. Targeting shoppers nearing the free shipping threshold, they suggest just the right little extras to tip the scales.

This makes it quick and easy for customers to top up their orders with relevant products.
The results?
Jessica Botello, the Customer Service Manager at Manduka, explains why this campaign works so well:
“People want free shipping. So if they've already got over $75 worth in their cart, they're almost there. Then we pop up and suggest: check out these items. It’s a curated list of the easy little add-ons that you'll need anyway for your yoga practice, but will also take you over the free shipping threshold,” she explains. “What's really helpful is that it pops up, rather than the customer having to go through the menu and look for things.”
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You’ve likely tried exit-intent pop-ups before. You know, those pop-ups that trigger when a customer indicates they’re about to abandon their cart or browsing session.
As more brands adopt these pop-ups, customers are becoming more accustomed to them. But what’s less obtrusive is a personalized message directly from your team.
There are many ways you can grab your customers' attention with these messages. Maybe it's offering a little nudge with a timely discount, waiving that shipping fee, or answering a last-minute question they had about the product.
Here, let’s look at two examples of how effective these campaigns can be.
Manduka uses these exit-intent messages to offer $20 on orders over $100 (a strategic way to not only reduce cart abandonment but also increase AOV and email subscribers simultaneously.)

By engaging visitors with personalized, timely messages right when they’re about to leave, Gorgias Convert helps transform potential bounces into real conversions.
You can read more about how Manduka set up these campaigns with Gorgias Convert here.
Glamnetic has had particular success with an exit intent campaign offering a discount for new customers, new product promotions, and educational campaigns.
Its most successful campaign offers a sweet 15% discount and boasts an on-ticket conversion rate of 18.39%.

Here’s how it works:
You can peek at the campaign setup below. It runs 24/7, ready at any moment to engage:

Countless new products pop up every day; consumers are bombarded with options. The challenge for brands is to launch new products in a visible and desirable way.
As you’re well aware, that’s tougher than it sounds amidst all the noise consumers already experience daily.
This is where Gorgias Convert stands out and is different from the other pop-up tools.
Unlike your latest TikTok and Instagram ads, these onsite campaigns feel genuine because a friendly support agent makes the recommendation without disrupting the shopping experience.
For example, when Glamnetic unveiled its vibrant Rainbow collection in May 2023, the team deployed targeted, visually appealing onsite campaigns that immediately drew visitors’ eyes to the new products.
Directly on the homepage, visitors were greeted with eye-catching product images from live chat, featuring a seamless and effortless option to add new items to their cart.

Mia, Head of Customer Experience at Glamnetic, shares the strategy behind the success: “The aim was to elevate the visibility of new releases without requiring customers to hunt for them. Our onsite campaigns proactively present our latest products through compelling visuals and straightforward navigation, simplifying the decision-making process for the buyer.”
That’s why Glamnetic prominently placed top-selling items in the product carousel, directly in the live chat box. The products were impossible to ignore, leading to a 49% sales increase for featured items.
Product education is a powerful sales and retention tactic. By building trust with customers right away, they’ll feel more confident purchasing your products because they know they will use them successfully.
Manduka uses onsite campaigns to educate potential customers. Triggered when visitors spend more than 15 seconds on the yoga props page, the campaigns guide customers through their yoga journey and help them choose the perfect props for their practice.

Jessica Botello, Customer Service Manager at Manduka, highlights the campaign's impact:
“This yoga props blog suggestion campaign is really great because we have several options, and that can feel confusing to someone who doesn’t know which one to get because they are new to yoga and aren't familiar with which props would benefit them. The blog explains in more detail how to use the different props in your yoga practice, and the different benefits of a round bolster vs a rectangular bolster. So it helps people go ahead and choose the right product for them.”
In other words, simply explaining the nuances between choices like a round versus a rectangular bolster helped customers feel more confident about the products they purchased.
And the proof is in the pudding. Between April–August 2023, this campaign achieved the following:
By proactively addressing potential questions and concerns, Manduka enhances the shopping experience, leading to higher satisfaction and fewer post-purchase issues.
Holidays aren't just for festivities — they're prime opportunities for brands to connect with customers in fun, thematic ways.
Take TUSHY, for example. To celebrate US Independence Day, TUSHY ran a cheekily-themed on-site campaign called "USofSPRAY," offering a patriotic 25% off all bidets.
Yes, you read that right — cleaning your bum has never been more patriotic!

Why it works: TUSHY’s approach to holiday promotions is smart and spirited. By aligning their campaign with a major holiday, they tapped into the celebratory mood of their customers, making it not just about a discount but about being part of a nationwide celebration. This not only makes the promotion more memorable but also more engaging.
The USofSPRAY campaign not only captured attention but also captured significant sales:
Investing time in well-thought-out onsite campaigns can significantly amplify your marketing efforts, driving a notable increase in conversion rates and better capturing paid traffic.
Here’s how you can design campaigns that catch the eye and convert browsers into buyers.
The more targeted your campaign, the better your results — plain and simple.
By segmenting your audience based on specific criteria, such as the amount spent with your brand or past products purchased, you can tailor your messages to match the unique interests and buying habits of different customer groups.
Note: Gorgias is deeply integrated with platforms like Shopify, so it’s easy to leverage shopper data to create highly personalized onsite campaigns that resonate with your audience.
Set up your campaigns to activate based on specific behaviors, such as browsing certain products, adding items to the cart, or showing signs of exit intent. You can also use more niche triggers, like:
For instance, by setting up a trigger for VIP customers, you can send campaigns to those high-value shoppers, like exclusive discounts or personalized style recommendations based on past purchases.
One of the most powerful tools in your marketing arsenal is A/B testing. By systematically testing messaging, design, or offer variations, you can uncover what resonates most with your audience and refine your strategies accordingly.
TUSHY provides a prime example of A/B testing done right. They conducted an experiment where:
The results were telling:
This test highlights the effectiveness of providing personalized support over just using discounts and how A/B testing your offers and messaging — even for one week — helps you understand what makes your customers tick.
Effective campaign management isn't just about launching strategies; it’s also about understanding their impact.
With Gorgias Convert, every campaign you run is tracked in detail through the Campaigns Statistics dashboard. This gives marketers a granular view of performance across different time frames and campaign specifics.
Some specific features you can expect are
In addition to tracking basic metrics, the dashboard also provides insights into more nuanced aspects of campaign performance, such as engagement trends over time or the effectiveness of specific call-to-action placements.
Check out an overview of the Campaign Statistics page in the image below.

Onsite campaigns stand as pillars in digital marketing, carrying immense potential to captivate and convert visitors into loyal customers. Through them, you can get directly in front of your customers and showcase products or services – but in their capacity to tailor experiences, foster engagement, and ultimately drive conversions.
Gorgias Convert's innovative approach makes revenue generation easy through onsite campaigns - you will find that you’re increasing your ecommerce revenue quickly and cost-effectively. By leveraging this tool, you can navigate the digital landscape with confidence whether you’re in CX or Marketing.
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Nick’s Top Advice:
Nick O’Brien didn’t think he would find himself back in the print packaging industry, a trade that’s been written in his family tree for four generations. Then 2015 came and Nick witnessed how difficult it was for New York City business owners to find print packaging suppliers. This reignited a fire in him, pushing Nick to start his own print packaging business called Templi in 2017.
There were already “two big strikes” against Nick starting as a non-technical and solo entrepreneur. Although he had spent his younger years working for his family’s print shop Concept Print, Templi was new territory. Not only was there printing to worry about, there was also the coordination work of wrangling together a reliable group of suppliers, designers, and buyers.
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He accepted this operations puzzle completely, “I worked through it by realizing, know what you don't know, and trying to get 1% better and more technical every day.”
Nick took it upon himself to fill in the gaps even without a background in business. Code Academy, an online learning platform for coding, was foundational to Nick’s learning and helped him overcome early obstacles. “You can’t run away from learning,” he says, “you have to try to get proficient in all of these areas before you make your hires.”
“You could start non-technical, but you shouldn't end up non-technical.”
The balance between leader and learner was hectic in the early days of Templi, and Nick could only survive as a one-man operation for so long. Building his team was ultimately a self-assessment of what duties he could and couldn’t handle as a founder. He was “basically replacing [himself] with the things he felt were the most easy to train — like customer service, bookkeeping, artwork.”
For those beginning the hiring process in their startup, he advises to “start small with the technical hire to keep your costs low, then bring in administrative hires to relieve yourself of smaller tasks, so you can stay focused on sales and the customer relationship.”
Now, with 10 people on the team, maintaining a healthy workplace culture is top of mind. “Find people who are good communicators and who raise the standards of the team with each new hire.” As a CEO, that means being eager to receive criticisms from both employees and customers so you know which company standards need to be improved.
“How you deal with problems as CEO is how your culture ends up getting defined.”
In 2020, Templi was one of many U.S. businesses shocked by the global COVID-19 pandemic. When orders stopped coming in, Nick had to start selling personal protective equipment (PPE) to keep the business afloat, “I relied on some connections I had from living and working in China for a couple of years, and that gave us just enough money to keep the business going.”
Maintaining a network is crucial for Templi since they serve design agencies in charge of multiple brands. “Creatives, by nature, have higher standards, and if we do right by them, we make their life easier, they bring us more customers.”
“You may think that because you're in ecommerce, you're not physically connected to your customer, but I would implore you to get connected in every way you can — visit a customer, call them, understand deeply the problems you’re trying to solve. Those relationships will pay off for you and them.” —Nick O'Brien on connecting with your customers
Nick often talks about iterating quickly, and to him, that means integrating customer feedback. He still makes sure to spend time with customers, whether he’s visiting their offices or getting their feedback through an email.
To make sure they’re on track, their KPIs address consistency and speed: “We're always trying to optimize for anything that involves those two things, like optimizing for repeat orders. We ultimately want to put these types of purchases on autopilot for the customer and create as much consistency as we can.”
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Templi’s minimum order quantities (also known as MOQ) are at the high end of the spectrum, with coffee cup orders starting at a minimum of 2,000 cups per order and bar coasters at 2,500. At this level of manufacturing, printing errors and product defects can occur. How does Templi salvage them? Or, more importantly, how do they keep customers happy?
“To retain a customer, sometimes you may not want to give a certain discount, but then you realize you need to retain them as best you can. That plays into your customer experience, doing whatever you can to keep customers happy, and optimizing the customer experience at every turn.”
When the work day ends, Nick comes home to his wife and three-year-old daughter. He is mindful about time, dividing his day into half-hour blocks. For Nick, a great day equates to 10-12 hours of focused work, which he uses carefully: “You need to be able to focus, turn off, and be present for your family.”
Templi has already beat the odds of startup longevity as a seven-year-old business. Focus is also Nick’s mantra when it comes to leveling up Templi, “Just making those incremental improvements on focus is probably the best thing I've done in building the team.”
Nick reminds aspiring entrepreneurs not to shy away from collaboration and to continue getting better 1% every day.
“I'm doing my best. I'm not perfect, so I always try and keep getting better everyday.”
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TL;DR:
79% of companies say that live chat has had a positive impact on customer loyalty, sales, and revenue. However, delivering consistently high-quality live chat experiences can be a challenge, especially when live chat agents repeatedly encounter the same questions and inquiries.
By using a set of predefined responses, you’ll enable your customer service team to save time, ensure consistent quality, and offer a smoother customer experience.
Whether you’re just starting to build out your live chat support strategy or looking to streamline your existing processes, here are some live chat response examples for the most common scenarios your support team will encounter.
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Getting the initial interaction right sets a positive tone and builds rapport with customers. First impressions count! Here are some templates to help your agents start the conversation on the right foot.
Template 1) “Hi there! Thanks for reaching out to [business name]. My name is [agent name] and I’m here to help. What can I support you with?”
Template 2) “Hey and welcome to [business name]! I’m [agent name]. What brings you here?”
Template 3) “Hello! This is [agent name] from [business name]. Thank you for reaching out. How can I help?”
Template 4) “Hi! Thanks for reaching out to us. I'm [agent name]. If you have any questions about [business name] and our [products/services], let me know!"
Personalized, templated greetings like these help live chat agents balance a consistent brand tone with efficiency.
Dealing with angry customers can be challenging, but having the right scripts on hand can make a big difference by speeding up resolution times and improving customer satisfaction. Here are samples of canned responses for de-escalating tense situations:
Template 5) “I really appreciate you reaching out to us to let us know this happened, [customer name] – I’m going to help resolve this for you right away. In order to get this sorted out, can you please share [photo, more information, etc] with me?”
Template 6) “I am so sorry for the inconvenience that you’ve experienced. That’s not the customer experience we strive for at [company name]. Let me look into this further and see what I can do to make this right. If necessary I can talk with my team to see what else we can do.”
Template 7) “[Customer name], I so apologize for the error on our end. I’m going to look into this for you right away. It should only take a couple of minutes. Thanks for your patience!”
Template 8) “I’m sorry to hear that you’ve experienced this issue and I apologize for the trouble. Let’s work together to find a solution that you're happy with.”
By acknowledging the customer’s frustrations and demonstrating a genuine desire to help, your live chat agents can turn a potentially negative situation into a positive one. That's something that Ren Fuller-Wasserman, Director of Customer Experience at bidet brand TUSHY, feels strongly about:
“We’re fervent believers that even the worst customer experiences are actually opportunities ripe for the Poo-Rus to convert into meaningful customer interactions, experiences where we can show a customer that we’re truly listening and have heard their concerns.
We can’t always solve every problem, but our customers knowing that they have a real live pooping human supporting them through their woes has been invaluable in building lifelong product and brand relationships.”
📚 Recommended reading: How TUSHY Approaches Customer Service vs. Customer Experience
Handling returns, cancellations, exchanges, and other routine customer requests can be tricky, but having the right scripts can help ensure a smooth process. The following live chat examples can guide your agents through the necessary steps while providing a consistent high-quality experience for your customers.
💡 Tip: Gorgias's integration with Shopify means all customer context, like their contact information, past orders, order numbers, and shipping status are available for each agent, right in the customer sidebar. No switching tabs or asking customers for simple details again!
Template 9) “I can definitely assist you in returning or exchanging that item. In order to get the process started, can you send over your [order number, email, etc.]?”
Template 10) “I understand you’d like to cancel your order. Let me review the status and see what I can do. Can you provide me with [cancellation reason, order number, etc]?”
Template 11) “[Customer name], Confirming that I've canceled your order [number of last order] and issued a refund. As a reminder, the refund can take [# of days] to process. We refunded the original amount to the same credit card you used to make the purchase.”
Template 12) “No problem, we can certainly process an exchange for you. Could you let me know the item you’d like to exchange and the new item you’d prefer? ... Ok, I’ve swapped out [item name] for the [item name] you originally selected. Can you please confirm that the following [billing information, address, etc] on file is correct? … Is there anything else I can help with?”
Gorgias has empowered clients like Marine Layer, a clothing retailer known for its fun, vibey brand and high-quality clothes, with numerous retail locations and a strong online presence to excel by using templates.
Emphasizing customer-centric experiences, Marine Layer has harnessed chat scripts to streamline and harmonize communication and reduce first response time, resulting in a 68% decrease in resolution times. This approach, featuring clear, brand-aligned messaging, has significantly boosted online successes, enhancing customer support efficiency, customer satisfaction, and increasing online orders.
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Who doesn't love a good discount code? Letting shoppers know that you're running a promotion can help take them from browse to checkout.
💡 Tip: Gorgias Convert can automatically trigger coupon codes based on different behaviors. For example, yoga brand Manduka shares a discount code in chat when a shopper looks like they're about to exit the website.
Template 13) “Hey there [customer name]! Good news: [company name] is offering a discount on [promotional item or discount amount]. Questions? Let me know!”
Template 14) “I noticed you’ve been browsing our [product department name/category] collection. I wanted to let you know that we have a special bundle deal that includes [detail the deal]. Let me know if you want to learn more!”
Template 15) “I have some great news - we’re currently offering [discount percentage] off your entire order. Would you like me to apply that discount to your cart? “
Template 16) “Just to say thanks for being awesome, I’d like to offer you an exclusive [discount percentage] off coupon code to use on your next purchase.”
By adapting their approach, agents can elevate a simple sales pitch into a valuable, personalized experience. Through chat scripts, agents are equipped to inform website visitors about general information and perks such as qualifying for free shipping or securing a discount, serving as effective conversation starters that incentivize visitors to make a purchase before leaving a website.
Handling out-of-stock situations in response to customer requests can be a delicate balancing act. On one hand, you have disappointed customers who were eager to make a purchase, on the other, you have the realities of inventory management. With the right chat scripts, agents can maintain a positive experience. Try:
Template 17) “Oh shucks! [product name] isn't available right now. But, it will be back soon. Would you like me to put you on a waitlist so you’re the first to know when it’s back in stock?”
Template 18) “I apologize, but it looks like the [product name] you’re interested in is currently out of stock. We’re expecting a new shipment in the next [number range] business days. Why don’t you provide me with your email address or phone number and I can notify you by email or text as soon as it’s back in stock?”
Template 19) “Unfortunately, the [product name] is sold out at the moment. However, I’d be happy to suggest some similar items that are available if you’d like?”
When customers are actively browsing your site and adding items to their cart, using proactive customer service messages in your chat scripts can provide valuable guidance and encouragement to help seal the deal.
📚 Recommended reading: How to Leverage the Power of Live Chat for Sales
Here are some scripts that team members can use:
Template 20) “The [product name] is one of our best sellers! Other shoppers love it for its [key feature] and [key feature].”
Template 21) “I noticed you’ve been looking at the [product name]. What questions about it can I help answer?”
Template 22) “Based on the items you’ve been exploring, I think you might really like our [product/service] line. It has [key features/benefits] that are designed for [features]. Does this sound like it could be a good fit?.”
The key is to strike the right balance between guiding the customer and empowering informed decisions. As Shinesty – a rapidly growing, innovative apparel brand known for its distinctive, themed underwear and custom-branded collections – gets it right. “We got a lot of praise from our customers, and they talk highly of our CX team after 1:1 interactions.” – Molly Kerrigan, Senior Director of Retention at Shinesty.
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By leveraging these sales-boosting live chat scripts, your customer service team can provide the high-touch service customers appreciate in real time and drive more conversions.
Offering upgraded products can be a great way to increase your agents’ average order value. These templates can help your live agents navigate the cross-sell and upsell process with finesse.
Template 23) “Since you’re interested in the [product name], I wanted to let you know that we also offer a [upgraded product name] with [additional feature] and [additional feature]. Want to learn more?”
Template 24) “I noticed you had [product name] in your cart. [Product name] is the perfect compliment. Together, they [benefit] and [benefit].”
Template 25) “Great choice on the [product name]! While you’re here, I wanted to mention our [bundled product name] – it includes the [original product name] plus [additional item] and [additional item] for a discounted price. Let me know if you have any questions!”
By focusing on the customer’s needs and offering genuine value, live chat agents can turn these interactions into a win-win for both shoppers and your business.
Just as important as starting the conversation on the right foot, wrapping up the live chat conversation with a positive tone can leave a lasting impression. Here are some live chat templates to help agents gracefully conclude the conversation:
Template 26) “Is there anything else I can assist you with today? I’m happy to help. … If there is nothing else, feel free to reach out at any time with any more questions. Have a great day!”
Template 27) “I’m so glad we could resolve your issue today! If you need anything else, just send us a message any time. We're online during [hours] if you need a speedy response. Take care!”
Template 28) “Thanks for reaching out! Don't hesitate to shoot us a note if you have any other questions in the future. ”
Template 29) “Thanks for reaching out and letting us know about your experience with us! Have a wonderful rest of your day.”
Template 30) “Thanks so much for your order! I hope you love your new purchase!”
By leaving customers feeling valued and supported, agents are setting the stage for future positive interactions. The idea is to ensure the customer is happy. In fact, 91% of customers say good service is essential and makes them more likely to purchase from the company again.
While live chat templates and chat support scripts can significantly improve the quality and consistency of your customer support, automation takes things to the next level.
Gorgias Automate can handle routine, high-volume inquiries, provide a seamless customer experience, improve efficiency, resolution times and save you money. By combining the power of live chat templates and the efficiency of Automate, you can empower your live chat agents and support team to focus on more complex issues that require a human touch, enhancing the customer experience.
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TL;DR:
Your Help Center is a great resource for sharing information with customers. And as AI technology transforms customer support, the Help Center now also serves as a data source that provides AI with the knowledge to answer questions.
Gorgias’s AI features function by drawing on information from knowledge sources. For example, Gorgias’s AI can draw upon your past support tickets to generate Help Center content. Likewise, our upcoming AI Agent uses your Help Center to write and send answers to customer questions.
Our AI Agent is coming July 1st (with a Beta starting in May). Below, we'll explain why an up-to-date Help Center that covers all your policies is the best way to prepare for AI Agent, gain admission to the Beta, and resolve 30%+ of your email support interactions.
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AI Agent is a conversational AI tool that answers customer support emails by learning your brand’s policies and processes from your Help Center. It can understand a wide array of questions and generate unique responses that are helpful, personalized, and accurate.
Unlike AI tools like ChatGPT or Gemini, which are trained on public information, AI Agent specifically works with your data. Its first layer of support is your Help Center, a database of articles about your products and policies. From there, you can complement its knowledge with data from Macros and connected ecommerce tools like Shopify.
With AI Agent as your level 1 support, your team can focus on escalated or VIP tickets and other projects you may not currently have time for.
The crucial step to fully prepare AI Agent is to make sure your Help Center articles are accurate and up-to-date. You don’t need to have your Help Center published or linked on your website — however, articles must be published and not saved as drafts.
To hit the ground running with AI Agent, your Help Center must meet a few criteria. Here’s a checklist to prepare your Help Center:
Ideally, customers should find answers with just one click. You can achieve this by publishing articles that answer your customers’ top concerns.
We’ve compiled the most important Help Center articles to have, with the starred questions being essential to include. You can skip to the bottom of this post to find templates for these topics:
As an online business, your information constantly changes, including policies, product updates, and brand revamps. Review older articles, particularly those over a year old, to ensure the information is still accurate.
Here are the most important elements to update:
If your articles point to other web pages, you’ll want to make sure the right texts are hyperlinked, and the links do not lead to 404 pages.
Some important links to include:
💡 Pro Tip: Avoid including statements in your articles like, “To resolve this issue, contact us at [email]” as this confuses the AI Agent.
Ensure your articles are published so AI Agent can learn from them. Whether the article is Unlisted or Public, you must take them out of Draft mode. An article left in Draft mode remains invisible to AI Agent. To confirm that your article is published, check the top right corner of the editor to ensure the article is “Published” and not “Unsaved.”
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That said, if you’re not ready to share your Help Center with customers, you don’t need to publish the Help Center itself.
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Related: How to boost your Help Center’s visibility
If you don’t currently have a Help Center, you can set one up and start filling it with articles within a couple of hours. Below are three strategies that will let you create the most comprehensive Help Center, fast.
When you create a Help Center on Gorgias, you can access the AI Library. The AI-generated articles are based on your past conversations with customers and their concerns. You can edit them to suit your brand voice and policies.
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As of now, only accounts with a single Shopify store connected have access to the AI Library. We expect multi-store accounts to gain access to this feature by mid-May 2024.
Related: Our AI Library Help Doc
Accelerate the setup of your Help Center by using pre-written article templates. These templates cover common customer inquiries and ensure consistency in response quality and format.
Gorgias offers six ready-to-use Help Center article templates that cover essential topics. These templates enable you to quickly establish a strong database without wasting agents’ time.
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Take stock of your existing content, such as FAQs, product guides, and blog posts. Convert this content into Help Center articles and properly categorize them based on the topic for seamless user navigation.
💡 Pro Tip: Each article should only ask one question. This helps AI Agent to easily decipher the purpose of each article.
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To speed up Help Center creation, we’ve provided article templates covering topics from shipping and tracking and account creation to product information. Simply edit the details and add the necessary links based on your policies.
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How do Shop Pay installments work?
Shop Pay Installments allow you to split your purchase into multiple payments, interest-free. At checkout, choose Shop Pay, select 'Installments', and follow the prompts to set up your payment plan.
How do I update the billing information on my order?
To update your billing information, you may log in to your account and change your information from the Account Settings page. If you do not have an account, please contact our customer service immediately.
How do I purchase a gift card?
Gift cards can be purchased directly from our website. Visit our gift card section, choose the amount, and complete the purchase. The gift card will be directly emailed to you or to the specified recipient.
How do I use a gift card for my purchase?
To use a gift card, enter the code in the 'Gift Card or Discount Code' box at checkout. The value of the gift card will be deducted from your order total.
Do you price match for sales?
We offer price matching for sales within [specific timeframe] of purchase. If an item you’ve bought goes on sale within this period, please contact our customer service to adjust the price difference. Note that certain conditions may apply.
⭐️ What is your return/exchange policy?
We accept returns and exchanges within [30] days of purchase. Items must be in their original condition and packaging. Some items may not be eligible for return. Please see our detailed return policy for more information.
⭐️ What is your cancellation policy?
Orders can be canceled within 24 hours. After this period, we may not be able to cancel your order as it might already be in processing or shipment.
⭐️ How do I initiate a return?
To initiate a return, please visit our Returns & Exchanges Portal and enter your order number and email address.
⭐️ How do I initiate an exchange?
To exchange an item, please visit our Returns & Exchanges Portal.
⭐️ How do I cancel my order?
If you need to cancel your order, please contact us immediately. If your order has not yet been processed, we will cancel it and issue a full refund. If the order is already processed, please refer to our Returns & Exchanges policy.
⭐️ How do I get a refund?
Refunds are processed upon receipt and inspection of the returned item. Please allow up to 10 business days for your refund to be credited back to your original form of payment.
⭐️ Order is marked delivered but not here.
If your order is marked as delivered but you haven't received it, please check around your delivery location and with neighbors. If you still can't locate it, contact our customer support for assistance.
⭐️ What do I do if I receive the wrong item in my order?
If you receive the wrong item, please contact our customer service immediately. We will arrange for the correct item to be sent to you and provide instructions for returning the incorrect item.
I received the right product but in the wrong size/style/color.
We apologize for any inconvenience caused. Please contact our customer service team within [#] days of receiving your order to initiate an exchange for the correct size/style/color. Visit our Returns & Exchanges policy for more information.
What should I do if an item is missing from my order?
We're sorry to hear that you're experiencing issues with your order. Please check your confirmation emails to ensure all items were included in your shipment. If an item is missing, please contact our customer service team immediately so we can resolve the issue.
What can I do if my item doesn't fit or isn't true to size?
If the item you purchased does not fit, you can return it for a refund or exchange it for a different size. Please refer to our Returns & Exchanges policy for details on how to initiate a return or exchange.
What should I do if I'm having a reaction to the product?
Your safety is our priority. Please stop using the product immediately and consult a healthcare professional as needed. To report a reaction and request a return or exchange, contact our customer support team. We also recommend checking the ingredients list to identify any potential allergens.
What should I do if my order arrived damaged?
We apologize for the inconvenience. Please take a photo of the damaged item and email it to our customer service department within [#] days of delivery. We will assist you with a return or exchange as quickly as possible.
Where can I find sizing information?
Our sizing runs true to size unless stated otherwise.
For detailed sizing information, please visit our Sizing Guide page. The guide includes size charts and tips on measuring yourself to ensure the best fit.
Which style is best suited for my needs?
Our various styles cater to different preferences and requirements. For a breakdown of our styles and their best uses, please check out our detailed Style Guide.
What are the materials or ingredients used in this product?
We use high-quality materials/ingredients to ensure the best experience with our products. For a full list of the materials or ingredients in this product, visit the product page.
What product do you recommend for [trait/preference/condition]?
For [trait/preference/condition], we recommend our [Product Name], designed to provide a [benefit here].
How do I use this product?
For optimal results, follow these steps:
How long does this product last and how should it be stored?
This product typically lasts [X amount of time] when used as directed. Store in a cool, dry place away from direct sunlight. For perishable products, refrigeration may be required.
What's the best way to care for this product?
To maintain the quality of your product, we recommend [specific care instructions, e.g., machine wash cold, hand wash only]. For more detailed care instructions, please visit our Care Guide.
What's the difference between Product A and Product B?
Product A is designed for [specific use], while Product B is better suited for [different use].
⭐️ How do I use these rewards points?
You can redeem your rewards points at checkout. Enter the amount of points you wish to apply in the 'Rewards' field, and the discount will be applied to your total.
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If you're having trouble logging into your account, please try resetting your password using the 'Forgot Password' link on the login page. If you still experience issues, contact our customer support team for help.
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To cancel your membership or subscription, please log into your account and navigate to the 'Subscriptions' section. You can choose to cancel your subscription from there. If you need assistance, our customer service team is here to help.
⭐️ How do I skip a subscription shipment?
You can skip a subscription shipment by logging into your account, going to the 'Subscriptions' section, and selecting the shipment you wish to skip. Please do this before the billing date for the next shipment.
⭐️ How do I update my subscription items?
To update the items in your subscription, log into your account and visit the 'Subscriptions' tab. You can add or remove products or change the quantities for your next shipment.
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Create an account [here] by using the same email address you ordered with.
Please note that if you haven’t created a password, you do not have an account. Additionally, signing up for our emails or ordering doesn't mean you have created an account.
How do I become a member/subscriber/loyalty program?
Become a member by visiting our Membership page.
What are the membership benefits?
You’ll earn many perks as a [company name here] member! Upon joining, you’ll receive a 10% off discount on any purchase.
Plus, more benefits:
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To reset your password, please click [here].
How do I change my default address?
You can change your default address from your Account settings.
If you need to change your shipping address for a current order, please [contact us].
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TJ’s Top Advice:
Everybody wants to skip to the answers, but for TJ Balo, there is more joy to be found in the learning. Since 2014, TJ has been the Head of Customer Relations and Marketing at Andrea Iyamah, a fashion line founded in 2011 by Nigerian designer Andrea Dumebi Iyamah. From Toronto, TJ leads a group of customer service reps from around the world, including New York and Nigeria, teaching them the ins and outs of customer service operations, logistics, and lingo.
Brainstorming is one of the most exciting parts of the job for TJ, who’s always finding ways to improve the customer experience. When his team gets together, there is no wrong answer. TJ encourages his staff to think outside the box. Whether it’s a bold social media marketing play or a never-before-done collection, he wants to hear it all.
“I always want them to bring new concepts and ideas to the table. I think that for success, it's not about the implementation. It's about what you’re thinking,” he says.
The vulnerability to share out-of-the-box ideas allows his team to create a playground where creativity is the only goal. It’s where every idea has a chance to shine when the time is right, whether it’s in a month or in the next year. All TJ asks is for every person to be fearless and confident: “Let your presence be known. The minute I can identify you, that's when I know that you're doing something right and I'm doing something right.”

Online businesses, especially fashion brands, are no strangers to the challenge of meeting customer expectations. Sometimes colors don’t appear the same way on a screen as they do in person. Other times, sizes may run a smidge too loose or snug. Regardless of the issue, “it’s about consistent communication first,” TJ says.
How can you show up for the customer and show them they matter? For TJ’s team, customer satisfaction is their guiding light. They always remember to throw in an incentive for customers, whether it’s a refund, discount, or replacement.
TJ pays the same heed to internal feedback. His team’s opinion takes precedence before a product is released. They answer questions like, “What’s missing?” “Does it translate well to different body types?” People naturally gravitate towards good products, and TJ wants to hit that mark as closely as possible the first time around.
When mishaps occur, broadcasting the solution to their customer base is imperative. “I think that that's one step a lot of fashion and retail brands miss. They take the feedback in, and they come out with a new or better product, but the customer doesn't know because they don't communicate that message to them to say, ‘We took this in from you, we have this new version out, come and try it again,” he says.

Peruse Andrea Iyamah’s Pinterest and their inspirations draw from a cornucopia of African cultures, stories, and experiences. Traditional details can be found in every piece, from a modern sleeveless dress in the recognizable silhouette of a Kaftan to jumpsuits adorned with sculptural pleats similar to those found on a Gele. The room to innovate is boundless, especially with their Treasures.
Treasures, the term of endearment for their customers, are the backbone of Andrea Iyamah. Without the support and feedback of their Treasures, the brand would not have crossed international borders, dressing icons like Michelle Obama, Gabrielle Union, Ciara, and Kate Hudson.
“We treat our customers as our stakeholders. We believe they’re the driving force of the brand and its vision, hence our goal to make them feel valued and appreciated,” TJ emphasizes.
On Instagram, they spotlight their Treasures’ voices with Instagram carousels of rave reviews on Twitter. One Treasure confidently states, “Andrea Iyamah never misses… I swear.”
“You have to take in every single detail. That is where the brand meets the stakeholder. That's where they both come together. I never give credit to just either or. They both come together to create and to curate this amazing masterpiece.” —TJ Balo on handling custom orders
For a business that’s been operating for over a decade, you could say Andrea Iyamah has accomplished everything. But for TJ, the learning never stops. “Research and ensuring that you're actually taking in that research is the genesis of staying on the cutting edge.”
He recognizes that they aren’t the first to do it in their industry, that there are countless other companies making great strides. Nonetheless, he wants to be the best to do it. “As we grow, as a business, as a brand, as a company, even just as a team generally, I want to be a reflection of what I would like from my team. You can never know it all. Continuous learning is also leadership.”
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