

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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You might be assuming that there’s really nothing you can do to change this outside of overworking your team, or hiring more people.
This is completely normal, but there’s no need to panic. That’s because with Gorgias you can now integrate Loop in your ecommerce store. In case you’re wondering, Loop is an on-demand portal that allows customers to get the product they want, with less support touchpoints.
Using Loop, there are many ways you can reduce one of the biggest and more time-consuming support-related requests… returns. Plus, they do this while still giving your customers a seamless experience.
So, let’s dive in.
Did you know that 40% of support tickets are order related, with 5% being about returns? It might not seem like something worth looking into, or too problematic, but it is.
Though these customers returning items do deserve a great level of customer care (everyone does), it’s not the most valuable way to actually use your support team’s skills.
Why? Glad you asked.
It’s always good to remember that your support team is juggling a lot more than you think because there’s so many different types of requests that come through. One of those requests that takes a lot of time is, you guessed it, return requests. While these are important, they don’t exactly require a human touch since they’re very straightforward and focus heavily on process.
If your support team isn’t able to address other requests in a timely manner, that could mean losing new customers or returning ones because of those support tickets.
Luckily, return-requests can be easily automated.
It may come as a surprise to hear that your customers don’t actually want a high touch support experience for returns from your team. They actually want to be the ones to choose where and when they want to engage with support teams.
Since customers want a more on-demand experience when it comes to returns and something that happens fast, automation doesn’t hurt in these scenarios since it can be quick.

Bringing Loop and Gorgias together for a seamless customer experience that saves your team time is like a dream come true.
But how exactly, can this address the issues we’ve been discussing?
First off, this partnership will allow your support team to use that extra time in valuable ways that make sense and benefit the business. For example, focusing more on new customers, shipping issues and more.
Secondly, it benefits your customers since it allows them to take control of their returns and do things on their own time. This makes it more seamless and makes them feel like the return process is easier than ever.

Using both Loop and Gorgias together will create a better environment all around, decreasing stress both within your support team and customers so that your team can focus on conversions instead of returns.
Whether you’ve been looking for a way to reduce your support requests related to returns, or if it’s something new on your radar, it’s worth thinking about. Thankfully, you can sign up for a free 7-day trial with Gorgias and add in the Loop integration to see just how much time it can save.

A quick look into BigCommece, and you'll quickly see one of the main advantages about
As eCommerce-Aholic says in their YouTube video: 5 reasons to choose BigCommerce over Shopify, when deciding whether a SaaS ecommerce platform is right for you, you have to consider APIs.
Because more often than not, you don’t have access to the underlying code fuelling your ecommerce website.
This is where APIs come into their own.
In short, API stands for 'Application Programming Interface.' This enables two apps to communicate with each other. As such, this is what allows you to extend the overall functionality of your chosen ecommerce platform.
With that in mind, let’s delve into this subject a little deeper.
BigCommerce's API coverage is incredibly impressive. As is the number of API calls that BigCommerce can process per second. In fact, it can handle 100 times more API calls per second than Shopify Plus!
Shopify limits you to just two API requests a second, or four API per second if you’re a Shopify Plus user. Whereas BigCommerce can handle a whopping 400 API calls per second!
Let’s take synchronizing your entire stock list with BigCommerce’s Catalog API as an example. This API enables you to integrate your BigCommerce store with your POS and multiple online sales channels...so that you can handle everything from a single platform. Needless to say, this makes selling on popular third-party platforms like Amazon, Walmart (Jet), Wayfair, Best Buy, Houz, etc. a breeze!
So, suppose you’re running a large enterprise and have thousands of items to synchronize (or have tons of different product options). In that case, 25,000 products could take over four hours to sync on Shopify! Whereas, with BigCommerce, that same volume of merchants would take around a minute.
Following this same logic, if you're syncing multiple systems with your ecommerce store, you’ll be thankful that BigCommerce handles so many API calls per second. After all, there are only so many hours in the day!
The biggest perk?
But, that isn't the best thing about BigCommerce's APIs. In fact, it's the real-time information your shipping and logistics partners feedback to your store that's of the most value.
Of course, this also has a knock-on effect on the quality of your customer support. Slow and unreliable API calls adversely impact your store's inventory levels and shipping updates for customers.

While we're on the topic of customer service, just think of the kind of high-quality customer support you could provide, using one of your many APIs to connect your BigCommerce store with Gorgias.
You'll be able to offer all the following at lightning speed:
On top of the obvious benefits listed above, you can also use BigCommerce's API points to create mobile apps using data retrieved from your online store. Not only does this make app development much easier, but ultimately, it'll also provide a seamless experience for the end-user. Win-win!
For the sake of ease, we've listed some of the different kinds of BigCommerce APIs you can use and how they could benefit your online store. Hopefully, this provides some much-needed inspiration for making the most out of your abundance of APIs.
Storefront APIs: This enables you to manage customer carts and checkouts (from the client's side and your back end). For instance, you can add products to a shopper’s cart, gather and display customer order info, update billing addresses, and erase current e-shopping trolleys.
GraphQL Storefront API: Similar to above, you can also use this API to access your customer's product info and modify customer details and orders. But more unique to this API, you can build frontend apps. This permits you full control over the look and feel of your brand.
Scripts API: You can insert any scripts for analytics, single-click apps, live chat, support plugins, and theme extensions for any apps or integrations you’ve downloaded, so you'll no longer have to manually paste code into your control panel.
Widgets API: Here, you can create modular blocks of content to reuse wherever you want. Similarly, you can also develop tools to empower non-techy users to manage your content. Trust us, your team will thank you for not making them go to the trouble of modifying the theme files.
Payments API: As its name so aptly suggests, this API facilitates the acceptance of customer payments. You can create custom checkouts either using a Server-to-Server Checkout API Orders endpoint or via the V2 Orders endpoint.
First off, you need to obtain the API credentials.
From there, you can experiment with your APIs using BigCommerce's in-built 'Request Runner.' Here, you just copy and paste your store_hash, client_id ID, and access_token.
Then once you've done that, hit 'Send.'
Alternatively, you can use the REST Client extension to make API requests, using the Visual Studio Code. Once you've installed this extension, you'll need to create a new file called BigCommerce.http.
Then you'll need to paste the following:
@ACCESS_TOKEN = your_access_token
@CLIENT_ID = your_client_id
@STORE_HASH = your_store_hash
###
GET https://api.bigcommerce.com/stores/{{STORE_HASH}}/v3/catalog/products
X-Auth-Token: {{ACCESS_TOKEN}}
X-Auth-Client: {{CLIENT_ID}}
Content-Type: application/json
Accept: application/json
Now, hit 'Save.'
This should trigger a 'send request' link to display above GET. Click 'send request,' and the API response will appear in a split window.
There are other ways to start using BigCommerce APIs, but we don't have time to go through them all in this article. Hopefully, this has been enough to help steer you in the right direction. For more information, take a look at BigCommerce’s API documentation.
We hope having read this article, you have a better idea of what you could achieve with BigCommerce's generous API allowance. The BigCommerce API lets you sync inventory across channels, and locations, connect to apps, and offer exceptional customer support. How have you used the BigCommerce API?

For most retailers, Black Friday is the busiest and most profitable day of the year. However, not everyone is into shopping on Black Friday. Every year, more and more activists are protesting the consumer culture by celebrating ‘Buy Nothing Day.’
Never heard about it? Although the anti-consumerism celebration has been gaining traction in the last couple of years, it’s still not well-known among the general public.
How did we come to this point? That’s what we’ll learn today.
You’ll find out:
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As high-speed Internet spread across the planet so did Black Friday. What initially started as a mall craze has evolved in an online phenomenon. But do you know how Black Friday started? When and where did it happen and how did it spread?
The holiday got started in the early-50s, in Philadelphia. The term was used to describe the heavy traffic on the day after Thanksgiving when hordes of tourists and suburbanites would storm the city in advance of the annual Army-Navy football game.
While we don’t know for certain, the term “Black Friday” was possibly coined by the members of the Philadelphia police department to describe the shoplifting, traffic jams, and general mayhem. Yes, Black Friday incidents are nothing new.
Even though retailers tried to change its name to “Big Friday” during the late 60s in an effort to avoid the negative connotations, the original name persevered. In the mid-80s, marketers started using the term in connection to “being in the black” after a financially bad year.
Black Friday sales became commonplace across the United States, in the early 90s. By the mid-2000s, online shopping started gaining traction. In 2008, online shoppers spent $534 million on Black Friday.
During the same period, Cyber Monday got its start. The holiday took off when the staff at Shop.org noticed a 77% increase in online sales on Monday after the Black Friday weekend. Since Cyber Monday was so successful, some of the largest store chains in the US, like Walmart and Amazon merged the two into a single shopping weekend.
Soon after, retailers started creating different spin-offs of the Black Friday/Cyber Monday weekend. For example, the day after Black Friday is called Small Business Saturday. That’s why some retailers now celebrate Black November all month long.

Last year, retailers from all over the world saw more than 93 million people shopping online, during the Black Friday weekend. While a huge number of people are looking forward to the holiday, there are some that aren’t as nearly excited.
The holiday has its positive and negative sides. Some of the Black Friday pros include:
Of course, we need to take into consideration Black Friday cons as well:
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Not all people see Black Friday as a great opportunity to buy that 40-inch smart TV for a fraction of its price. Some see it as nothing more than a decadent celebration of commercialism. That’s why some people opt to celebrate Buy Nothing Day.
Never heard of Buy Nothing Day before? You’re not alone. A lot of people haven’t. But don’t worry, we’re here to explain everything…
Now, Buy Nothing Day is actually nothing new. The anti-holiday was originally thought out by a Canadian artist by the name of Ted Dave way back in 1992. His anti-shopping campaign started gaining steam once it got picked up by the non-profit magazine, Adbusters.
According to the official Adbusters website, the day is meant for ordinary consumers to re-examine their spending habits and take a look at the “issue of overconsumption.”
During the 90s and 00s, this anti-holiday was mainly “celebrated” in the US and Canada, but in the last couple of years, thanks to the Internet, it reached a worldwide audience. While it’s certainly not popular as Black Friday, it’s slowly catching on.
Seeing how Buy Nothing Day is still new, it’s no wonder that different people celebrate it in different ways. However, over the last decade, certain traditions have developed. Here a few universal ways in which people celebrate Buy Nothing Day:

People who are preoccupied with the negative aspects of commercialism are obviously more likely to participate in the Buy Nothing Day celebration. But just like its consumerism-celebrating counterpart, Buy Nothing Day has its negative and positive sides.
Let’s go over the positive aspects first:
Nothing is perfect and Buy Nothing Day isn’t the exception. Here are some negative aspects:
As a retailer, are you wondering if you should be worried? Can Buy Nothing Day turn some of your customers against you, destroy your relationship, and hurt your sales? Let’s see how the BFCM weekend will stack up against Buy Nothing Day in 2020.
Consumers have become more conscious in recent years. They’re more worried about global problems than ever before, and they would like the companies they’re dealing with to share their concerns.
But if overspending in rampant consumerism is such a problem, why isn’t Buy Nothing Day bigger? You have to remember that the day is competing with well-established holidays. Also, Black Friday backlash has been much more noticeable outside the US.
For example, just last year in France, protesters gathered in an attempt to block an Amazon warehouse in the suburbs of Paris. In other European countries, lawmakers are considering banning Black Friday altogether, due to the negative environmental impact.
Speaking of France, a collective known as MFGA (Make Friday Green Again) recently formed in the country, in order to help the citizens become more conscious about their consumption. More than 450 brands signed up to support the MFGA initiative in 2019.
Faguo, the organization behind the movement is inviting consumers to drop unwanted clothing items into their stores and encouraging consumers to take part in their tree-planting campaign.
In the United States, REI, an outdoor-gear manufacturing company is doing its part to slow-down overconsumption during the BFCM weekend. On Black Friday, the REI officials close all of their stores, give their employees a paid day off, and encourage people to go outside for a walk, hike, or a campaign trip.
Their Opt Outside campaign not only helps their consumers become more physically active and financially responsible, but also spreads awareness about their values. The fact that the healthy activities they promote are what their products are made for is not a coincidence.
Will Black Friday sales suffer from Buy Nothing Day? Not really. While some will choose to ignore the BFCM weekend, most people are either not aware of Buy Nothing Day or don’t feel like they have any trouble controlling their spending.
Large stores probably won’t feel any consequences. However, their small-to-midsize counterparts might feel the hit.
Around 60% of all online spending during BFCM goes to a dozen or so large retailers. None of them will feel the impact of Buy Nothing Day. The rest of the money goes to thousands of small stores. They’re the ones that could potentially feel the hit.
Should you be concerned about Buy Nothing Day? Yes and no. On one hand, you have to be aware that as a small business owner, you can’t afford to lose any customers. On the other, it’s not likely that many of your customers will choose Black Friday to ignore you.
There’s a simple solution if you feel like Buy Nothing Day may be a problem. To get the younger, socially-aware crowd on your side, you just have to show them that you care.
You can use your website to encourage people to spend more time outdoors or promote a good cause. Take DoneGood for example. In 2018, the Boston-based ecommerce website donated Black Friday revenue to the RAINN foundation.
It took nearly 50 years for Black Friday to become a worldwide phenomenon. Although information travels fast nowadays, it’s not realistic to expect for Buy Nothing Day to become a large-scale protest against consumerism any time soon.
When done right, Black Friday can be a great day for both retailers and shoppers. If you’re a store owner and you want to make it great for your customers, here’s what you need to do:
One thing is certain: your customers should always come first. You need to show them that you share their values, respect their concerns, and that you’re ready to take that extra step to keep them satisfied. And you can’t do that without a good helpdesk.
With Gorgias helpdesk, you can attend to your customers, establish, and nurture relationships with ease.
Go ahead, sign up for Gorgias, get your 15-day free trial, and see your customer satisfaction rates skyrocket.

As many of you already know, Gorgias has spilled their blood, sweat, and tears into creating the best customer support platform on the market.
BUT...
We want to provide our customers with more.
More value. More possibilities. And, most importantly, more opportunities to grow and scale your online business.
...Enter our new show Vested Interest.
Like Shark Tank and Dragons Den, Gorgias is partnering with venture capital companies, including Greycroft, Swiftarc, and Rosecliff. You guessed it...successful applicants have the chance to pitch investors and receive valued feedback and advice. Pitching helps brands boost their profile, and may even lead to a second conversation with an investor.
So, in honor of our exciting new initiative, in this blog post, we're delving into ecommerce fundraising in more detail. More specifically, what it is, why you should consider it, and how to raise those all-important funds to transform your business dream into reality.
Does that sound good to you? Fab! Continue reading to find out more...
First things first, we want to clarify what ecommerce fundraising actually is. In short, it's the process online merchants take to secure the funds they need to launch and/or grow their ecommerce businesses.
Traditionally, business fundraising was associated with start-ups, brick and mortar stores, and scaling companies to reach new heights.
But, fast forward to today, more and more DTC brand owners and online merchants are also leveraging capital to launch and/or expand their business.
And there's no reason you can't do the same.
Of course, there are several ways to raise business capital, but some of the more popular routes include:
As we've just said, there are plenty of other fundraising avenues, but for the purposes of this article, we're focusing on these.
Let's explore the options above in a little more detail...
Seeking funds from an angel investor(s) might be the ideal option if you're running a small ecommerce brand that's generating steady profits. I.e., without external funding, you're doing okay. Still, to take your business to the next level, you need a cash injection.
This is where an “angel” investor might come in handy.
Typically speaking, angel investors are wealthy people, or groups, who pool their know-how, research, and resources to provide promising start-ups capital.
Generally, angel investors give companies some sort of financial assistance in exchange for either convertible debt (i.e., the promise of converting part (or all) of the loan into common shares, at some point in the future) or ownership equity.
Usually, you'll approach an angel investor with a pitch outlining who your business is, how much money you want to secure, and what you hope to achieve with their finances.
As the size of angel investments substantially varies (usually anywhere under $50,000 to over $500,000), you'll have to prove how you'll provide reliable results. You need to show investors why your business is worth their time, and more importantly, money. After all, it stands to reason, if you can prove your brand will go the distance, the safer bet you are for them to invest in.
Then, after your initial meeting(s) with the angel investor(s), they'll typically go away and conduct their own research, ask you questions, etc. to help determine whether your proposition is a good fit with their investment portfolio.
In short, crowdfunding is where a wider pool of small-time investors assist a company during its earlier stages. As crowdfunding is typically used to accumulate funds to launch, these businesses often have a minimal (if any) track record of their profits. As such, this fundraising method is ideal for those with a killer business idea, without the financial forecasts to wow angel investors, banks, or venture capital firms.
There are tons of crowdfunding sites online. For instance:
These are just a few of the many online crowdfunding platforms on the web. But, the ones above are a great starting point - here, you can get your brand and business plan in front of loads of people actively looking to invest in fledgling businesses.
Crowdfunding relies on your ability to inspire trust and enthusiasm in your audience. Show them you've done your research and are prepared to put their money to good use. This means breaking up your estimated costs and demonstrating where the money will go. For instance, how much is allocated to production, how much on design? Showing you understand your costs improves your credibility.
Whatever crowdfunding platform you choose to use, post regular updates, and answer questions. Show the community that's building around your idea that you care for their involvement. Investing in a crowdfunding project can be daunting, some investors might fear that you won’t come through. So, demonstrate from the start that you're reliable and fully invested in putting their worries at bay.
Last but not least, make sure your crowdfunding campaign is well presented. Where possible, use high-quality graphics and video content. Proofread your proposal, ensuring all the info is shown in a way that's logical and easy-to-read. Get friends and family to check over your campaign description for you. Professionalism goes a long way in inspiring the confidence of potential investors!
Securing investment from venture capital firms like Greycroft, Swiftarc, and Rosecliff, is (usually) better suited to larger online enterprises. For the uninitiated, 'venture capital' is a form of private equity and financing that investors provide businesses with long-term growth potential.
Entrepreneurs typically secure this kind of financing from affluent investors or investment banks. But, it's worth noting that venture capital doesn't always take a monetary form. Venture capital can also be provided as technical or managerial expertise.
As investments go, plowing money into an ecommerce business is one of the riskier options. But, the potential for above-average returns is enticing, so we're seeing more and more investors adding online brands to their investment portfolio.
However, the main drawback for brand owners is that investors usually get equity in the company. As such, you'll give up the luxury of having full control over your business's operation. You don't need us to tell you that this a big deal. So, take your time weighing up the pros and cons of any investment agreement before signing the dotted line!
Equity investors do precisely what they say on the tin. They're people who provide companies with financial investment in exchange for a share of the business's ownership.
Generally, equity investors don't get a guaranteed return on their investment. But, should the company be liquidated, the equity investor will get a share of the assets (as stipulated in your contract).
Unsurprisingly, as equity investment is a riskier option for investors, they often expect to receive certain benefits to offset these risks. For instance, your investment agreement might stipulate that their initial investment is paid back within a specific time frame. Then, afterward, it's common for investors to be paid a pre-agreed share of the profits once you've paid back their initial investment.
Alternatively, (or as well as) equity investors can receive stock shares. Of course, stocks rise and fall depending on the market. So, again their return on investment isn't set in stone. But, the investor has the luxury of selling their stocks on the stock market or via other trading platforms, whenever they feel like it. So, be sure to bear that in mind while you're drafting up your agreement.
Of course, the more traditional route for securing funding is to apply for a small business loan with a bank or other reputable lending institution.
If this is an avenue you're considering, you'll want to know why business loans get rejected to increase the likelihood of securing your requested funds.
Interestingly, the most common reason cited for why business loans are rejected is 'risk.' This is why thoroughly preparing before meeting to discuss (or applying) for a potential loan is imperative. You want to do your utmost to show you’re ‘low risk.’
Part of this planning phase will be gathering the below details and documents:
As you go about creating your business plan, focus on explaining why the small business loan you're asking for is a low-risk proposition. Be sure to carefully assess how much money you need and why. Outline how you'll spend these funds, and how the loan will specifically help you launch and/or grow your business.
Be prepared to explain how you'll designate every dollar you've asked for, with specific reference to your business's following aspects:
You'll also need to explain how you'll repay the loan through your financial statements and cash flow projections. This should highlight to the potential lender that you're able to repay them over a set amount of time.
Revenue-based financing is sometimes referred to as royalty-based financing, so don't let the interchangeable terminology confuse you. Both terms mean exactly the same thing!
In short, revenue-based financing is a method businesses use to raise capital from investors. In turn, the investors receive a percentage of the company's regular gross revenue until a pre-set amount is paid (in exchange for their original investment). Typically, this sum is three to five times the initial investment. Companies like Clearbanc charge a flat fee for their capital. Uncapped is also another fantastic example of a revenue-based financing company.
Essentially, organizations offering revenue-based financing use data-driven methods to provide ecommerce companies with funding. Capital is typically spent on online marketing and inventory. The best thing about this kind of arrangement for the entrepreneur is that there aren’t any credit checks, personal guarantees, warrants, or covenants involved.
Whether you're leveraging angel investors, an equity investor, or the help of a venture capital firm, there's one significant advantage.
These kinds of investments are (usually) nowhere near as risky as taking out a bank loan. Unlike a loan, (depending on the contract you have with your investor(s)), invested capital doesn't typically have to be paid back if your business flops.
Plus, most experienced investors understand that they're playing the long game. So, there isn't quite as much pressure to make quick decisions and turn high profits immediately.
If you don't like the idea of losing some (or even complete) control of your business, then seeking the support of investors might not be the best option for you. Often investors become part-owners of your company, so depending on their share, there's a good chance they'll have a say about how you run your business. On top of that, should you ever sell your business, they'll also receive a portion of the profits.
For this section of the blog post, we're mainly focusing on angel, venture capital, and equity investors.
When it comes to raising capital to fund an ecommerce brand, there are specific times in the business cycle when you're more likely to secure funding.
Yes, your best bet is to seek investment when you're actually ready to grow your business. But, securing financing, especially from an angel investor, can take roughly six months to a year.
So, it's advisable to start contacting and pitching investors roughly 12 months before you actually need the funds to boost your business to its next phase.
Not only will this increase the likelihood of securing funding for when you actually need it, but for every failed pitch (yes, sadly, there will be failures), you'll benefit from those all-important pointers.
The more investors you talk with, the more apparent it becomes what investors want to see from your company and your business plan before they're happy to invest.
With this info to hand, you're then in a better position to adapt your business (and your pitch), to meet the needs of investors, when you actually need the funding.
Typically, you'll kickstart your relationship with an investor by presenting a business plan. Do your utmost to wow them from the get-go, so they'll only be telephone a call away when you need capital.
As we've just said, if you're preemptively pitching investors before your business is fully investor-ready, the investor will probably point you in the right direction.
You can then go away and mull over this information and make the necessary changes to increase the chance of them investing in your business in the future.
The best thing to do is to write a full business plan. The most important thing for lenders is what they'll get from the arrangement. As we've already hinted at, you'll want to highlight your expected financial projections. This serves as much-needed bait for enticing investors into funding your business.
We talked about business plans a bit earlier. However, they're essential to securing funding, so we're delving a bit deeper into creating a killer business plan (of course, this advice also applies if you're considering a bank loan)...
Here are a few tips:
Don't be tempted to be overly optimistic about where your profit forecasts are concerned. Yes, this might up your chances of securing the desired finances. Still, in the long run, you're more likely to suffer from a cash flow crisis and damage your management credibility. Put simply, it's not worth it - stick to the truth.
Also, ensure your business plan looks as professional as possible. Show the lenders you're taking their investment seriously! So, put a cover on it, include a contents page complete with page numbering, and kickstart your proposal with an executive summary.
For those unsure what an executive summary is, it's just a condensed synopsis of the key points covered in your business. The reader's digest version if you will.
On top of that, you'll also want to highlight the following details:
As you go about creating your pitch, familiarize yourself with your audience. You want to know your potential lenders inside out and back to front to tailor your pitch accordingly.
Yes, specific metrics (like your current profits and profit forecasts) lay the framework for any pitch. Still, you'll need to tailor your core messaging to appeal to each investor's needs.
The key takeaway: Do your homework and modify your presentation accordingly.
Last but not least, remember business financing is a process. It's likely you'll have to divide your financing objectives into two to three rounds. Securing funds for your business when it's brand-new, (and all risk), and has very little revenue behind it, is more of a challenge.
So, when you first start out, you're unlikely to obtain all the money you need to launch and scale your business. But, once you have a working prototype and a loyal customer base, you'll take away some of the risks, and as such, you'll probably secure more funds. Prepare for this in advance by dividing your business's growth into specific sections that you raise funds for accordingly.
There are tons of examples of ecommerce brands furthering their business by raising capital. Take Womenswear retailer, Hush, as an example. Hush sells women’s clothing, shoes, and lifestyle items. Currently, it's retailing its products via its website, its partnership with John Lewis.
But, recently, they've secured investment from a private equity firm, True. Hush, now worth over 50 million dollars, plans to utilize these funds to expand into new sales channels and markets.
True acquired a controlling interest in Hush, (roughly a 50% stake). This is what the owners of Hush had to say about the investment:
“We never thought [Hush] would get to a fraction of the size it is,” “We could have carried on [without outside investment], but we felt...real value in bringing in a partner with a similar vision to us, but different skills, to help us grow.”
Interestingly, this is what True had to say about investing in Hush:
“We think highly profitable, predominantly direct-to-consumer brands such as Hush...will emerge in [good] shape from this current crisis – and completing the transaction now demonstrates that we’re very much open for business and excited about the opportunity ahead of us.”
If you're considering crowdfunding avenue, below are a few brands that smashed their targets. Hopefully, these examples will fuel you with inspiration:
Pebble successfully raised $10.3m, when their target was just $100k!
This is what they had to say about the process:
“We had a pretty firm idea of what Pebble would look like. We just didn’t have a bunch of cash to start actually building the product. So, we thought of some other ways to get funding, and one of them was Kickstarter."
These are interactive toy robots that help teach kids how to code. Product owners, Play-i, managed to raise a whopping $1.4 million when their initial aim was just $250k.
Play-i successfully attracted investors from dozens of countries around the globe, securing 11,000 pre-orders! Interestingly, this company utilized crowdfunding to test the market and get a feel for consumer demand, having already secured $1m from Google Ventures.
How did Play-i manage to entice so many crowdfunding investors?
In short, they provided various benefits to their first buyers:
“We needed to build social proof right off the bat, so we created special perks for the first few buyers. Our first 1,000 backers got limited edition, exclusive outfits for their robots as an incentive to back early. We emailed our existing audience and friends several hours before our campaign went live [to] be among the first to back the project. This gave us the momentum we needed to get off to a good start.”
The team at Play-i also responded personally to all their audience interaction - every email, comment on Facebook, query on Twitter, etc. It stands to reason investors and customers feel more confident in your brand when they have a personal connection with you and your business. By taking the time to write customized responses to each and every person who wrote them, they ensured people got excited about their product!
OpenaCase is described as the 'world’s most functional iPhone case is a bottle opener.'
The ecommerce brand managed to raise an impressive $283k, massively exceeding their $150k target.
This is what the founders had to say about the crowdfunding process:
“We didn’t have the capital, so we turned to crowdfunding... When we put the idea on Kickstarter, we realized... lots of people loved the idea and were willing to put money towards it to make it happen. [There's] Nothing better than having your idea validated by people voting with their wallets.”
They attracted attention to their crowdfunding campaign by creating a Facebook page, and contacting online publications like Tech Crunch and Gizmodo, that's as well as their local paper. They spent lots of time cultivating as much possible PR to gain the traction they needed to raise those all-important funds.
We hope that having read this article, you now have a better idea about raising the funds you need to take your ecommerce brand to the next level.
As we said from the get-go of this article, Gorgias wants to help ambitious e-commerce brands scale up, so we created the Vested Interest event. If you're interested in securing finances from high-quality investors, then what are you waiting for? Apply today to get the ball rolling! If you have any questions about the show, please feel free to reach out, and we'll furnish you with all the info you need. Speak soon!
2020 has seen two crisises so far. Because of the global pandemic, millions of people lost their jobs. We've responded with a plan to offer free credits to businesses that struggle.
George Floyd's death is showed us again how deep racism still is in the US and around the world. Gorgias is committed to supporting members of the Black community against racism, prejudice, and hate.
We're actively taking measures to make a difference now, and tomorrow:
We realize this is only a small contribution to a big problem, but change has to start somewhere. We see lots of businesses take action so we hope the sum of all these initiatives will lead to long lasting change.

As brands have begun to evolve due to COVID-19, subscription offerings have been impacted tremendously. Many founders are baffled about what to do. But, you’re not alone. Learn about the trends we’re seeing with Shopify Subscription businesses and what successful brands are doing as they explore these new waters.
Read on to learn what’s happening in the subscription service realm and how you can better navigate through the muck to a thriving company in a post-Coronavirus economy.
What happened in the eCommerce space due to COVID-19? In our helpdesk ticket platform, we’ve seen the following trends in subscription business customer service:
Now, partial refund requests are going down -- these requests were for shipping costs, specific discounts, and other related transactions.
On the macro level, overall subscription order processing is up. However, on the micro level, a number of merchants aren’t weathering the storm as well as others.
Subscription offerings in the higher-value, hobby space seem to be a bit slower than usual. Yet, merchants who offer subscriptions for essential consumer packaged goods have to hustle to keep up with demands.
And, this is not surprising at all. Many people had a knee-jerk reaction to the pandemic while others had a change in priorities. Right now, people are more reserved about making snap-decisions. We can likely expect purchasers and merchants to make more calculated decisions now and into the future.
Now that we’re working from home, we need new essentials like office supplies and furniture. Plus, for some of the essentials like health and beauty products, we’re now turning online for where we might have gone to a brick and mortar shop before.
Now, people can’t really hop into the store to pick up tp and other essentials on the way home anymore. So, consumers are looking to find the most convenient way to have them delivered. And, they want to know they have a reliable source of essential products.
For example, at the beginning of this pandemic, everyone knows there was a tremendous run for toilet paper. And, merchants who offered this product saw 10-15X increases with toilet tissue sales.
Who Gives a Crap is an Australia-based, charitable toilet paper subscription company.

When this crisis started, Who Gives a Crap held back stock to accommodate subscribers rather than allowing new customers to order. They chose to prioritize loyalty over acquisition.
This brand is now thriving because of a steady uptick in consumable goods online. And, while the 10-15X trend may not last, long-term retention and increased revenue are likely. People will want to subscribe to receive preferential treatment.
We don’t have the exact numbers, but just because you offer higher-ticket hobby products doesn’t mean you’re doomed. There are multiple causes for high order cancellations and refunds.
For example, the supply chain is a key issue. If you don’t have inventory because you’re non-essential or shipping is too slow, you may have to cancel orders and offer full refunds. This happens because you don’t have the ability to fulfill an order, not because of an economic downturn.
Consumers are also leveraging the freedom to skip shipments and utilize subscription flexibility in other ways. Some people have overstocked or stockpiled on certain products. Then, they realized they didn’t need the quantity, so they now want to pause while still maintaining a relationship with a subscription company.
The UK Independent noticed a trend with sex toys, which fall into the non-essential category -- sales have tripled across the board. While it may have been predictable in retrospect, this isn’t a typical trend for an economic crisis. But, with social distancing, people can’t really go in Tinder dates and they have a lot of time on their hands. So, consumers are spending more money on at-home entertainment.
(Yet, if your supply chain runs out, no matter your niche, you may still see an increase in order cancellations.)
Supermarkets aren’t able to service people at their homes in many cases. So, consumers are turning online for many of their daily needs and wants. What we’ve seen is an increase in subscriptions for nearly anything that you use at home. Specifically, here are the products we’ve noticed are in high-demand.
Underwaterpistol, a leading Shopify Plus service provider, is working with a new client who was planning to launch a natural cosmetic and well-being subscription box prior to the pandemic. While Coronavirus has added some red tape to the logistics of the operations, consumer demand has accelerated rollout for these products.
Keep in mind that, over the next few weeks, we are sure to see more changes and it will be important to watch them.
Some of the tactics we see successful brands using are the same across the board. Know what they are so that you can thrive in the subscription business world.
Preferential treatment is one of the most effective business tactics for subscription companies because it aligns with the core of why people subscribe in the first place: exclusivity. Who Gives a Crap “guaranteed” subscribers would get their products, which motivated people to subscribe.
Pre COVID-19, we did this at Gorgias and we can attest to the power behind the process. Our subscribers were grandfathered-into specific prices and features. And, we experienced high retention because of this. You will have similar results with consumer packaged goods subscriptions.
Most subscription box companies have core consumable items. They sell between one to three variations of a product. But, many of the successful brands we see leverage add-ons, either relevant to the core offering or not.

A one-time product add-on is trending right now, especially on longer-time use items. So, if your core offering is toilet tissue, which people go through quicker, and you add another product to your offering that might take longer to use, like toothpaste, it can help you increase one-time sales. This is a smart move even if it feels negative that someone wants to cancel their subscription the next month.
If you can no longer offer your supplies because of a supply chain issue, you have choices:
For example, some sellers can no longer use Amazon’s warehouses for fulfillment (which aren’t only for sales on amazon.com) because the company is only accepting essential items, at least temporarily. So, some of those sellers stop offering their products through FBA. Those merchants lose a ton of business.
On the other hand, there have been sellers in similar positions who flew out to their suppliers and negotiated dropshipping solutions. And, guess what? These brands’ sales haven’t skipped a beat.
Amazon Prime members get expedited shipment on purchases and discounts. Likewise, subscription companies can offer fringe benefits and free gifts to their subscribers.
Freshly Picked is an infant moccasin company that implements this strategy well.

Freshly Picked offers “The Fringe,” a membership that costs $10 month. Fringe members get expedited delivery, discounts, and the $10 is redeemable in the store. So, customers can apply their membership cost to purchases. Using this method, you create a perceived discount without giving up your margins.
You have your customers who believe in you. Then, you have your non-believers who have objections about why they don’t order or why they don’t upgrade. When you know what causes people not to convert, you can make better business decisions.
So, find out what makes people NOT order from you. Then, add value to your membership offer by providing those perks exclusively. Look to your customer service requests to discover what some of your audience’s greatest problems are, then solve them.
First of all, it’s super important to make sure the tools you use are compatible with one another. Next, you need to use reliable platforms. Third, make sure you leverage the features that are available to you.
The following tools work well alone, together, and with Gorgias to power subscription businesses.

A constant, consistent message is key. And, Klaviyo can help you deliver this by automating crucial analytics, email flows, and sequences.
Advanced Tip: It can work wonders to push for a new subscription after a customers’ second order.

Recharge is a must for anyone who wants to process recurring payments at scale in today’s market.

You need to be tracking and monitoring visitor and user behavior. Leverage Little Data for advanced and relevant analytics.

Reduce customer churn with failed payment recovery options from ChurnBuster.

Create data-driven loyalty programs to generate more engagement and subscriber retention.
Email isn’t dead, but you now have an unprecedented opportunity to get in front of people where they are -- on social media and on their phones. Worldwide since the start of Coronavirus 45% of consumers are spending more time on messaging apps like WhatsApp and Facebook Messenger. And, brands are paying attention.
As a subscription service offering, you should use social media and SMS for order updates, upsells, and other customer communications. Don’t limit yourself to email. And, choose tools that enable you to meet your customers where they are.
As always, your brand message is central to your success. Right now more than ever, people want to hear from you. And, if you stay consistent and connected, your customers will stick with you now and into the future.
Be mindful that each detail is aligned across all communication platforms including your website, social media, email, and offline messaging. You have an unprecedented opportunity to be remembered if your messaging strategy is aligned across all channels.
Brands that know how to incentivize see higher returns in business. To illustrate, many new subscription companies launch aggressively with 20% discounts for new users. And, while they believe they’re offering more incentive for customers or members to purchase, they’re actually only making a cut to their own profits. 10-15% discounts offer the same psychological incentive at less cost to the merchant.
One incentive that does work well is to offer a small discount for the new subscriber and the same discount for a friend. This works well because it creates a sense of community and giving for the customer and generates a referral for the business.
The bottom line is that successful companies seem to inform themselves about incentives that work and apply creative strategies that show proven results.
The online shopping ecosystem is evolving, but that doesn’t mean it’s all doom and gloom. There are actionable steps you can take to stay in the game now and into the future. Stay informed and roll with the punches. Remember that a bit of extra effort now can have a lasting impact on the long-term outcomes of your business.

As Shopify Plus continues to power a growing number of the world’s leading ecommerce sites, brands, and merchants, their eco system is evolving. They’ve grown their program to include certified Plus partners, who can keep up with the demand of merchants - one of the many benefits of Shopify Plus. We’re excited to announce that Gorgias is the only certified customer service platform for Shopify Plus merchants.
Not on Shopify Plus yet? Check out our Shopify vs. Shopify Plus breakdown to understand when to switch.
The Shopify Plus Certified App Program supports the largest Shopify merchants by helping them find the apps and solutions they need to build and scale their business. This program is exclusive to Shopify Plus apps that have shown a level of product quality, performance, and privacy, and support that can be relied upon for the unique and often advanced requirements of a Shopify Plus Merchants
Enterprise grade merchants need enterprise grade solutions they can trust. When thousands of customers are wondering where their order is after Black Friday, or wondering if they should order half a size up, they need a customer support platform that can keep up.
Which is why Gorgias is the only customer support platform to make the grade. We help merchants like Steve Madden, MVMT, and Death Wish Coffee reduce costs and increase profits.
Whether it’s BFCM, a new drop, or being featured on Shark Tank, we can scale with you as your demand grows and slows. With unlimited users you can add more support agents or chat sales specialists as you need, without the commitment of multi year contacts. We’ve also partnered with some of the best contact centers specializing in supporting ecommerce merchants..
Did you know that 70% of customer service tickets are related to to- helping customers with an update on their order, edit, change, or cancel their order? That’s a lot of tedious work that’s costly. Make the lives of your agents easier, by automating up to 15% of your tickets during your busiest days and saving 30% of your time.
As more customers want questions before they buy, we help merchants monetize and track every interaction with their customers. Use the time that you’ve saved findiFrom questions to potential customers on your ads to targeted website chat, we help Shopify Plus merchants increase sales.

You spoke and we listened. We’re excited to tell you that, we are ready to launch out of beta. Now, you can connect your Magento 2 store with your Gorgias account. Access your Gorgias and Magento data from one dashboard.
The simplistic interface will enable you to display customers, orders, shipments, and credit memo data from your Magento eCommerce store next to your Gorgias support tickets. Learn more about the features you can take advantage of.

Magento users now have access to the fundamental and performance-boosting advantages of the Gorgias help desk platform.


Soon, we will add actions like ‘refund’ or ‘cancel order’ to the dashboard as well.
Our extension was created for compatibility with the updated Magento 2 platform. So, Magento 2.2 users may need to upgrade to version 2.3 to properly access all of Gorgias’ help desk features.

By integrating with Magento 2, we are excited to serve a new rank of online sellers. We hope to recreate the satisfaction we’ve given our existing users. Here’s what you can do now.
Cheers!

