

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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Ecommerce businesses pour time and money into attracting prospects and turning them into new customers. But as acquisition costs skyrocket due to increased competition and rising ad prices, attracting new customers isn’t enough — especially if you can’t keep them around.
Today, ecommerce brands must prioritize customer satisfaction and retaining existing customers. If you can’t retain customers, you’ll never get out from under high marketing costs and grow your brand in a sustainable way. Plus, if you can’t offer a customer experience that generates brand loyalty, poor word of mouth will chip away at your brand’s reputation and make it hard to get new customers at all.
Fortunately, more tools and resources than ever exist to help you develop a good customer retention strategy by improving the on-site experience, customer support, and all the other elements of a great customer experience.

Below, we'll cover the importance of customer retention, how to calculate your customer retention rate, and share ways to improve your customer retention rate and reduce customer churn.
Customer retention rate is the percentage of existing customers that continue buying from your brand over a given period of time.
If your organization sees many repeat customers and — if applicable — keeps customers subscribed, you’ll end up with a good customer retention rate. However, if your company seldom does business with a customer after the initial order, you have an opportunity to improve your retention rate.
Customer retention rate is the inverse of ecommerce churn rate. Check out our guide on churn if you want to learn more about that side of the coin.

Retention rate is most applicable to businesses that sell subscription-based products or services, like software-as-a-service (SaaS) companies or ecommerce brands that sell subscription boxes.
For these companies, measuring and understanding retention rate is straightforward. As long as a customer has an active subscription, they’re retained. The total number of customers who remain active subscribers each month (compared to the previous month’s number) is the brand’s retention rate.
For customers that don’t sell subscription-based products, retention rate is a bit of a square peg in a round hole. Retention rate becomes more of a proxy to understand customer loyalty and the rate of returning customers, which are a little less concrete. It’s difficult to anticipate a customer’s future purchases because they don’t have a clear subscription status.
Is a customer retained if they buy a product every week? Month? Quarter? What if they don’t buy from your store for half the year, then re-engage for Black Friday — were they retained, or won back? These questions are why retention rate isn’t a perfect metric for the typical ecommerce business.
For these types of companies, we recommend tracking repeat customer rate as well as other leading indicators for repeat shopping, like customer satisfaction (CSAT) and net promoter score (NPS) rather than customer retention metrics.
Your customer retention rate is a valuable measure that gives you important insight into your ability to sustain customer relationships (and turn them into repeat business). It's easier and cheaper to keep a customer than it is to go out and find new customers. According to Hubspot, a mere 5% increase in customer retention can increase the company's revenue by a whopping 25%-95%.
According to Gorgias data, repeat customers make up only 21% of the average brand’s customer base but generate 44% of that brand’s revenue because they shop more often and place higher-value orders.

If your strategy over-relies on winning new customers, you’re missing out. Due to high customer acquisition cost and low returns from first-time shoppers, you’ll overspend on low-return customer relationships, taking your ROI. Of course, acquiring customers is important — but their value is only truly realized if you can keep them around.

There's a simple formula for calculating your customer retention rate. It contains three elements:
Customer retention rate = [(Number of customers at the end of time period - Number of customers acquired during time period) / Number of customers at the beginning of time period] x 100
Company A had 100 customers at the beginning of the year and 80 customers at the end of the year. During the year, they acquired 45 new customers. The customer retention rate calculation for Company A would be as follows:
Customer retention rate = [(80 - 45) / 100] x 100
Customer retention rate = 35%
The widely accepted customer retention rate for the ecommerce industry is 31%, according to Omniconvert. Depending on how well they handle their customer base and their effort in building customer loyalty, some companies may enjoy a considerably higher customer retention rate. Those who only gear their resources toward finding and selling first-time customers may have a lower retention rate.
Of course, the most important thing is consistent improvement, regardless of your brand’s current customer retention metrics. Customer retention is an ongoing process, and there's always room to improve — which will benefit your customer service ROI and your bottom line.
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Ecommerce brands should keep a razor-sharp eye on their ecommerce retention rate and churn rate, just like they need to look at customer lifetime value (CLV) and average order value. These benchmarks are metrics that help measure a business's health and identify opportunities to benefit the bottom line. You can put actions in place that help you keep current customers with you instead of your competition.
Let's dive into six tried-and-true customer retention strategies you can use to increase your ecommerce brand's customer retention rate.
We can't say enough about the importance of a positive and pleasant user experience. According to a 2019 research study by Oracle and Jeanne Bliss, 43% of customers will stop doing business with a brand over a single bad experience. In addition, 59% of them will tell their friends and family about the negative experience.
Evaluate your customer service program with metrics like resolution time, net promoter score, and customer satisfaction, and work on improving essential elements of customer experience like:

For more tips on the essential elements of a great customer service experience, check out our post on customer service best practices.
One of the most important moments of the customer life cycle is immediately after their first purchase. Think of the post-purchase email campaign as your onboarding flow for repeat customers. You need to set customer expectations with clear, proactive communication or else they’ll be less likely to return to your store.
Here are some examples of the consequences of poor post-purchase experiences:
Pay special attention to the communication a customer receives after their first purchase. A lack of communication is fatal, and the right combination of confirmations and email marketing can quickly get customers interested in buying additional products. If you nail it, you give the customer a clear, easy path to long-term customer loyalty.
A great example of clear, post-purchase emails is Princess Polly, an apparel brand. They give customers simple but visually informative confirmation emails that communicate the status of the customer’s order at a glance:

Loyal customers come back to your brand over and over, making them a profitable addition to your business. According to a 2020 survey by Yotpo, 68% of customers will join a loyalty program if one is available. Cultivate your customers into raving fans and increase their purchase frequency by employing a customer rewards marketing strategy.
To create a successful rewards program, consider looking into tools like LoyaltyLion. They help you determine the rewards that repeat customers will get for important customer engagement behaviors like mentioning you on social media (which is great for word-of-mouth exposure), purchasing a new product, or generating referrals. Consider offering freebies, deep discounts, and early access to new product launches.
Parade, an apparel ecommerce brand, offers its loyal customers (called Parade Friends) free, early-access items. This supports customer engagement and brand loyalty, and usually leads to a wave of user-generated content (UGC) on social media that promote the brand:

If you use Gorgias, you can also integrate with LoyaltyLion to see customer rewards within the helpdesk so you can see which customers are superfans, prioritize their tickets, and offer personalized service.
Learn more about the Gorgias and LoyaltyLion integration.
Everyone likes to feel special. Score some big points with your current customer base by offering them exclusive incentives. This could include letting loyalty program members order new products before the general public, offering them member-only discounts, offering free shipping, and sending a free gift with their purchase. These extra touches will increase your customer's satisfaction and keep them loyal to your brand.
Amazon is a great example of a company that uses deals and discounts to get people to shop on their site. When you sign up for Amazon Prime, you get free shipping, an enormous library of original movies and TV titles, and so many other perks to incentivize you to keep shopping at Amazon.
Of course, this strategy isn’t feasible for small stores running on Shopify, BigCommerce, and other ecommerce platforms. But, if it makes sense for your products, consider replicating the strategy with a Subscribe and Save option. By signing up for automatic repeat purchases, customers get a discount. This is great for customers because they save on the purchase and don’t have to remember to restock. It’s also great for your company: You retain more existing customers, driving revenue.
Here’s an example of how OLIPOP, a beverage brand, advertises their subscribe and save option on product pages:

Don't assume you know what your customers want — ask them! Retaining customers takes continuous communication, as their interests and preferences can change over time. It's necessary to periodically survey them to ensure you're hitting the mark with your retention efforts. Gather and review customer feedback, looking for trends to use to elevate your buyer's experience.
These surveys don't have to be long or time-consuming. A question or two during checkout or a marketing email asking for two minutes of their time is enough to give you valuable intel.
Learn more about gathering customer feedback with CSAT surveys or NPS surveys.
Consistently improve and optimize your store to keep it functioning quickly and efficiently. Segment your customers for more personalized, impactful messaging. For ecommerce brands, the best tool around is Klaviyo. Klaviyo helps you segment your customer base and send highly targeted SMS and email marketing campaigns.
Plus, if you use Gorgias, you can integrate with Klaviyo to bring you SMS marketing and support into one tool:

On top of segmentation, continue making your website as seamless and low-effort as possible. Check your load times for your web pages, measure the success of your calls to action (CTAs), and cut down on the number of required clicks where you can. Remember, the best way to delight customers (and keep them coming back) is a low-effort experience.
Upselling and cross-selling are the most effective strategies to maximize the lifetime values of repeat customers by driving higher order values. While you never want to be too pushy, you can employ retention marketing strategies to suggest new, exciting products to existing customers to bring them back to your store and spend more.
Check out our guide to ecommerce upselling strategies for:
Alternatively, learn how Ohh Deer, a stationery brand, partnered with Gorgias to revamp their customer support and upselling strategy and lift quarterly revenue by $12,500.
By focusing on providing a wonderful customer experience at every touch, creating customer loyalty, and cross-selling at the right moments, you can increase your ecommerce company's retention rate and enjoy more profit from your existing customer base.
Ready to improve your customer service? Gorgias, the helpdesk built exclusively for ecommerce, helps ecommerce businesses enhance, automate, and increase the speed of their customer support, improving customer experience and, by extension, customer retention. Brands that switch to Gorgias see an average of 5% higher gross merchandise volume (GMV).
We also help you monitor performance with features like our support performance dashboard and live statistics about agent performance.
Book a demo today to learn how you can increase your customer retention rate with exemplary customer service.
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TL;DR:
Customer service phrases are the building blocks of great support conversations. The right words can de-escalate tension, build trust, and turn routine interactions into relationship-building moments. But the wrong phrases can sound dismissive, robotic, or insincere — even when your team genuinely wants to help.
Most support teams struggle with consistency, especially when scaling across channels or onboarding new agents.
This guide provides curated phrases to use and avoid, plus scenario-based scripts for common situations like de-escalation, delays, and handoffs. You'll learn how to apply these phrases authentically without sounding scripted.
The following phrases work across phone, email, chat, and social media because they demonstrate empathy, ownership, and commitment to resolution. Each one serves a distinct purpose in building rapport and moving conversations forward.
When to use it: Thank customers for their patience during delays, for bringing issues to your attention, or simply for choosing your brand. This phrase works in openings, closures, and anywhere you want to acknowledge effort.
Example: "Thank you for reaching out to us today. I'm happy to help with your order."
When to use it: This phrase works especially well early in conversations to set a positive tone and show ownership. Avoid vague language like "I'll try" or "I'll see what I can do," which creates uncertainty.
Example: "I can absolutely help you track down that package. Let me pull up your order details right now."
When to use it: When you don't know the answer, this phrase validates the customer while maintaining confidence. It shows you're committed to accuracy over speed. The key is following up with a specific timeframe or next step.
Example: "Great question. Let me check with our warehouse team and get back to you within the hour."
When to use it: Empathy statements acknowledge customer emotions without over-apologizing. This phrase works well when customers express frustration, disappointment, or confusion. It demonstrates understanding while keeping the conversation solution-focused.
Example: "I understand how frustrating it must be to wait this long for your order. Let's figure out exactly where it is and what we can do."
When to use it: This phrase shows preparation and prevents customers from repeating themselves. It's especially valuable for follow-up conversations or when taking over from another agent. Customers feel heard when you reference previous interactions.
Example: "I've reviewed your case history and can see you contacted us last week about the damaged item. Let me make sure we get this resolved today."
When to use it: Frame customer feedback as valuable input rather than complaints. This phrase works well for bug reports, feature requests, and quality issues. It positions the customer as a partner in improving your service.
Example: "I appreciate you bringing this to our attention. This affects other customers too, and we're grateful you caught it."
These short power words create a cumulative effect of warmth and professionalism throughout your conversations. Sprinkle them naturally into your responses:
Certain phrases undermine trust, create defensiveness, or sound insincere — even when you mean well. Here are eight common phrases that backfire and what to say instead.
Why to avoid: This phrase feels hollow, especially after long hold times. Customers hear it as corporate speak that contradicts their experience. It's often delivered by automated systems, which makes it even less credible.
Say this instead: "Thank you for your patience. I know wait times have been longer than usual today."
Why to avoid: This generic apology sounds robotic and non-specific. The word "any" suggests you're not sure what went wrong or that you're minimizing the issue. It fails to acknowledge the actual impact on the customer.
Say this instead: "I'm sorry your order arrived damaged. That's not the quality we stand for, and I want to make this right."
Why to avoid: This abrupt phrase lacks context and doesn't ask permission. It treats the customer's time as less valuable than yours. It also creates anxiety because customers don't know how long they'll wait or why.
Say this instead: "May I put you on a brief hold while I check with our warehouse team? It should only take a minute."
Why to avoid: Blunt rejection closes down the conversation and positions you as an obstacle. It focuses on what you can't do rather than exploring alternatives. Customers feel dismissed and often escalate.
Say this instead: "While I can't process a refund past 30 days, I can offer you store credit or help you exchange it for something else."
Why to avoid: This phrase is patronizing and almost always escalates the situation. It invalidates the customer's emotions and makes them feel judged. Frustrated customers become angry customers when they hear this.
Say this instead: "I can see why you're frustrated. Let's work together to resolve this right now."
Why to avoid: Telling customers they're wrong creates defensiveness and damages trust. Even if they misunderstood something, this phrasing makes it confrontational. It shifts the conversation from problem-solving to proving who's right.
Say this instead: "Let me clarify what happened here. It looks like there may have been a misunderstanding about the shipping timeframe."
Why to avoid: This phrase lacks commitment and raises concerns about follow-through. Customers worry they'll fall through the cracks or have to start over with someone new. It also creates additional effort on their end.
Say this instead: "I'll reach out to our billing team right now and call you back by 2pm today at this number. Does that work for you?"
Why to avoid: Hiding behind policy sounds dismissive and suggests you're unwilling to help. It positions rules as more important than the customer. Even when policies genuinely can't be bent, this phrasing feels bureaucratic.
Say this instead: "Our return window is 30 days to ensure product quality and manage inventory. I can't extend it, but let me see if we have other options like an exchange or store credit."
Ready-to-use phrases work best when tailored to specific situations. These seven scenarios cover the most common customer touchpoints, with multiple phrase options for each.
The first few seconds set the tone for the entire conversation. Warm openings build trust and make customers feel valued rather than processed. Whether you're on phone, chat, or email, your greeting should balance professionalism with friendliness.
Why this works: These openings acknowledge the customer immediately and signal readiness to help. They avoid transactional language and create space for conversation.
Angry or frustrated customers need validation before they can move toward solutions. These phrases acknowledge emotion without agreeing that your company is at fault. The goal is to shift from venting to problem-solving.
Why this works: Validation reduces defensiveness and shows you're listening. These phrases pair empathy with forward momentum toward resolution.
When things go wrong, transparency builds trust. Customers want to know what's happening, why, and when it will be fixed. These phrases set clear expectations and demonstrate accountability.
Why this works: Specific timelines and proactive updates reduce anxiety. Customers can plan around delays when they have clear information.
Admitting you don't know something maintains credibility when paired with commitment to find out. These phrases show ownership and accuracy matter more than speed. The key is setting clear expectations for follow-up.
Why this works: These phrases maintain trust by prioritizing accuracy. Customers respect honesty more than guessing.
Handoffs are friction points where customers risk repeating themselves or feeling abandoned. These phrases maintain continuity and explain why the transfer adds value. Always share context with the next agent before transferring.
Why this works: Explaining the reason for the handoff and confirming context has been shared reduces customer frustration. Warm transfers feel like escalations to help, not attempts to pass the buck.
Walking customers through solutions requires clarity and collaboration. These phrases balance efficiency with thoroughness, making customers feel heard while moving toward closure. Break complex processes into steps.
Why this works: Clear next steps reduce confusion and give customers a sense of control. Offering choices empowers customers and increases satisfaction.
Endings should confirm resolution, invite follow-up, and leave customers feeling positive about the interaction. These phrases check for completeness and maintain the relationship beyond this single transaction.
Why this works: These closures confirm the issue is resolved while keeping the door open. They leave customers feeling valued and supported.
Scripts and templates are starting points, not rigid rules for positive scripting. The best customer service feels personal and responsive, not robotic. These principles help you adapt phrases to real conversations.
Vague language creates uncertainty and erodes trust. Specificity demonstrates preparation, ownership, and respect for the customer's time. Compare "I'll look into it" with "I'll check with our warehouse team and email you by 3pm today with tracking details." The second version tells the customer exactly what will happen and when.
Best practices:
Over-scripting makes agents sound like chatbots. Pay attention to how your customer communicates and match their tone. A formal customer gets a professional response, while a casual customer gets friendlier language. The phrase "I understand how frustrating this is" lands differently depending on context and delivery.
Best practices:
Delivering consistent, empathetic support becomes easier when your team has the right tools. Gorgias Macros lets you save these phrases as templates while personalizing them with customer data.
And if you need these phrases at scale? AI Agent carries natural conversations while maintaining your brand voice, 24/7, no matter the situation.
Book a demo today to see how we help ecommerce brands scale personal service.
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Some hold up the net promoter score (NPS) as the holy grail of KPIs. While we won’t go so far as to declare it the most important metric of all, we will say that it is one of a few that is absolutely crucial to your brand and customer success.
That’s because you can learn a lot about customers when you dig into NPS feedback. What keeps customers happy, what upsets them, how you can boost retention, how to slow down churn — you name it, NPS can become a valuable feedback loop that reveals insights into all of these things and more.
That’s why we’ve created this guide. Read below to learn how to improve response rates to create a better, more accurate net promoter score.
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If you’re unfamiliar with net promoter scores, we have a detailed explainer on how to calculate NPS that will tell you everything you need to know. But for now, let’s have a quick refresher.
It all starts with asking your customers a simple question: On a scale of 0-10, how likely are they to recommend your offerings to a friend?
From there, collect these numbers:
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Calculating your NPS is easy. Determine the percentage of promoters and detractors from the total number of responses. Then, subtract the detractor percentage from the promoter percentage for your score. So if you have 70% promoters minus 10% detractors, your NPS is 60.
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Before making business decisions based on your NPS, you need the best possible dataset to work with. That means improving response rates to NPS survey questions creates a larger sample size — and below, we’ll show you the best ways to do that.
There are three great cadences to send out your NPS surveys:
These should trigger at certain moments of the customer’s lifecycle. They’re a great way to get customer feedback at key points of the customer journey.
This way, you can easily triangulate high-impact changes — for example, if NPS goes way up after customers receive an email with set-up instructions, consider making that information available earlier.
Other examples include:
A transactional NPS survey gets triggered by set customer interactions. Much like the lifecycle surveys above, this helps you collect customer feedback and take a temperature check where it matters most. In this case, after key customer touchpoints:
Pulse checks are a bit different in that they survey your whole customer base all at once. You can use NPS surveys to gauge customer sentiment following a company rebrand, after a push to get new customer referrals, and so on.
Especially while conducting lots of customer research to ensure product-market fit, conduct pulse-check surveys with some level of regularity to maintain a healthy feedback look. Many companies do pulse checks twice yearly just to get a sense of customer sentiment across the entire customer base.
Where NPS surveys are concerned, less is more. The longer your survey, the lower the chances are that people will hang around to finish it. Sticking to one question can improve your response rate — and you want a great response rate because larger sample sizes will create a more accurate NPS.
So, what's a good survey response rate? There is no one clear answer because response rates can differ between channels (email surveys versus telephone or in-app surveys, for example) or based on how engaged your customers are with your brand.
However, good response rates can generally vary between 5% and 30%. If your response rate shoots up to 50% or more, you’re doing extremely well — and your customers are highly engaged.
While you want to keep your surveys brief, nothing says you can’t follow up with particular customers individually. In fact, you absolutely should follow up with customers who offer particularly interesting responses in your survey’s feedback section. Send out a more in-depth survey or schedule a 1:1 interview to discover the reasons behind their responses.
Here’s a great example of a one-question survey sent with NPS survey tool Delighted, plus a follow-up question made possible by Delighted’s integration with Gorgias:
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There are a couple of limited cases when you can send out multi-question surveys:
Use these longer surveys judiciously to collect highly targeted information — and strive to keep them as brief as possible.
A/B testing is a common marketing technique that has users compare multiple pieces of content to determine which pieces perform best. You can — and absolutely should — use A/B tests for your surveys, too. Doing so will help you optimize surveys to get the best response rate.
When you’re designing an A/B test, consider testing for the following:
Those tests will get you started, but feel free to add more as you spot areas to potentially improve.
The first step to creating an attractive survey is to add visuals. Don’t rely on people typing in answers to questions. Use graphical buttons instead. Be sure to use your company’s logo in the design, and introduce your brand’s colors through borders and other elements.
Make it brand-friendly, too — whatever that means for your brand. If your brand gives off a sleek, posh vibe, then your net promoter score survey should do the same.
Rather than building these emails from scratch, consider using an NPS survey software with convenient templates. There are many great options, but we recommend Delighted — especially given its integration with Gorgias:
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Delighted does a great job of letting you brand the survey (using your logo and colors) without over-crowding the email and distracting the survey-taker from the main purpose of the email: Choosing an NPS score.
Free swag is an excellent motivator, and so are discounts. Offer a little something extra in exchange for NPS survey responses, and you’ll likely see your response rate shoot up dramatically.
What can you offer? The sky's the limit. Create swag bags to send out to respondents or offer a limited-time promotional item. You can also offer digital gift cards or discounts, too.
The only issue with offering rewards is that it may not be sustainable. One great way to work around this is to set up a drawing or raffle, so that survey respondents have a chance at winning something awesome. It’ll be more affordable for your brand — and an attractive enough offer that more customers will leave feedback in exchange for a chance at the prize.
NPS survey best practices include always making sure there is a comment box below the numerical survey question. Some customers won’t leave a comment, but some will. Use these comments to understand why your happy customers are so delighted with your offerings and why unhappy customers are less than thrilled with the experience you’ve offered.
If you use an NPS tool like Delighted, you can opt in to include an optional “Tell us more” box:
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Your NPS score is a valuable tool, but it will only get you so far. It’s essentially a measurement of how “loud” your promoters are compared to the detractors. Focusing too much on the relative volume of each group can be misleading.
For example, you may be tempted to invest a lot of time into rescuing your detractors, but think about this: Maybe the problem isn’t that your detractors are unhappy. Maybe they were never the right target market in the first place.
That’s why you need to dig deeper into the data behind your NPS score. You might find interesting patterns, like nearly all of your detractors live abroad or a huge percentage of your promoters bought the same product. That suggests perhaps you need an audience from closer to home.
Thank-yous are a fantastic way to build goodwill and customer loyalty. This step doesn’t have to be anything complicated, either. In fact, the CRM tools or survey templates you use to generate surveys should automate the thank-you process — either as a final screen of the survey or a separate email.
Ideally, your survey should pop up with a quick statement of thanks once the survey has been completed. Make sure to personalize the message — but keep it brief to ensure that it’s both seen and appreciated.
This is how a thank you message will appear if sent with Delighted:
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Less ideal — but still acceptable — is to send a follow-up email to say thank you. The problem with this method is that people aren’t always appreciative of inbox clutter — plus, there’s a chance customers may delete the email unread.
Worried that your survey isn’t optimized to its fullest? Or that your customer base is too small to generate meaningful results? Set those fears aside and launch your NPS survey anyway.
The truth is, even small brands can get a lot out of comparatively few NPS responses. A/B testing your survey to optimize it is important — and it’s also something you can do to improve as you work through the process.
Now, if you’re a super small B2B brand with only a handful of customers, or a brand that is just starting, NPS scores may not be all that worthwhile. Instead, you may need to roll up your sleeves and dive in to ask for feedback the old-fashioned way: with phone calls or messages directly to your point of contact.
We’ve talked about the importance of A/B testing — but what about regular beta testing? It’s an easy and crucial step that ensures an easy-to-use survey tool for your customers.
Just have a handful of people at your company so they can click all the buttons and check various features. Request feedback on the design, and be sure to load the survey on mobile and desktop platforms, too.
Testing the technical aspects of your survey is especially important if you have any sort of automatic personalization. If you use a tool like Retently, for example, send a few test emails to different recipients to make sure the personalization is accurate:
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💡Tip: If you use Retnetly, you can integrate with Gorgias to follow up with customers — like winning back unhappy customers or inviting happy customers to a referral or loyalty program.
Up above, we mentioned that sometimes you learn important things about your target market based on your detractors — and that’s why you should always look beyond the NPS score itself. Do a deep dive on your detractors to really analyze what is happening. Examine demographic information and pay close attention to any comments they leave.
For example, do you have a large group of detractors who love your product but are unhappy with customer support or your website experience? This might indicate that your customer service team needs additional training or managerial support, which is a straightforward fix to raise your score. Or what if all of your detractors share certain characteristics, like age, income level, and geographical region? It could mean that this subset isn’t your product’s target market, and you’ll be better off re-targeting your product.
Ready to boost your NPS? Gorgias makes it easy. It’s customer support software specifically designed for ecommerce, built to integrate with the ecommerce tools (like NPS email software) you already use.
On top of NPS, you can facilitate follow-up questions, automate thank-you emails, and get a real-time view of other statistics like customer satisfaction (CSAT), average response times, and resolution times.
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To learn more, sign up here and check out everything Gorgias offers.
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When a shopper places an order, the second phase of customer acquisition begins: Turning new customers into repeat customers. Return customers generate 300% more revenue over first time buyers on average, according to data from 10,000 ecommerce brands.
So, what kind of post-purchase behavior leads to long-term loyalty? Ideally, your customers follow up purchases with:
Below, learn more about the psychology of your shoppers once they place an order, and get tactics to improve your brand's post-purchase experience.
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Post-purchase behavior is the set of actions customers take after purchasing an item. Post-purchase behavior can be positive (repeat purchases, raving fans), negative (poor reviews, excessive returns), or neutral (transactional purchases, simply using the product).
Post-purchase behavior matters because making the first sale isn’t the finish line. It’s the beginning of a race to win long-term, loyal customers: people who repeatedly return to your store, have a high customer lifetime value, buy more from you (increasing cart size and transaction value), and send new customers your way.
Gorgias’s data shows that while repeat customers make up 21% of all customers, they bring in 44% of revenue.

Post-purchase dissonance, or what’s also known as “buyer’s remorse,” is when an otherwise positive purchase experience creates cognitive dissonance in the form of discomfort or other negative feelings.
Usually, customers experience post-purchase dissonance when you don’t give enough information about:
This often, understandably, dampens positive post-purchase behavior. On the other hand, a great post-purchase experience and strong customer service and support can drive positive post-purchase behavior, including brand loyalty.
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Happy customers tend to become repeat customers. Focusing on creating a positive post-checkout process can increase customer satisfaction, bolster your repeat customer rate, and build customer loyalty.
Here are 13 ways to anticipate what your customers may think after clicking “Confirm order” and how steer your customer’s post-purchase behavior.
Consider: What metrics are we optimizing for?
The first step in encouraging positive consumer behavior through a thoughtful post-purchase experience is understanding what you want your customers to do. Then, take a look at who they are, what they care about, and how they behave. The key is to fully understand your brand’s customer journey. This will help you craft a better experience for them that’s based on real learnings about your business.
“The first question brands should ask is, what kind of post purchase activities do you want to drive differently,” Bri Christiano, Director of Support at Gorgias, says. “And, who are you really targeting? That's going to dictate what your main metric is, and it’ll determine where you focus.”
After you have a top-level understanding of the kinds of results you want to see overall, you can drill down into the specific activities that will be effective, like timely email sends.
In order to ensure a stress-free purchase process for your online store, send shoppers a confirmation email so they can confirm that their transaction went through.
Include details like their order number, the shipping destination address, payment method, product details (in case of an order mistake), and the total cost including any promotional discounts.

Caption: Gorgias customer Printfresh sends a thorough post-purchase email that includes all important order details.
💡Tip: Bri recommends sending timely emails that “catch customers when they're interacting with your brand. Don't send random emails at times when you’re likely not top of mind. Then, add personalization when you can for goals that they have, if your brand aligns with that.”
Even better if your order confirmation email links to a clear and helpful order management portal where customers can track their order, report issues, and modify the order.

Sometimes a customer realizes that they didn’t make the right decision about an order, or legitimately made a mistake.
Giving customers the opportunity to cancel an order themselves before it ships gives them peace of mind and allows them to correct their mistake in time without having to wait to send in a return. Using a helpdesk like Gorgias, customers can use self-service order management in chat or in the Help Center to cancel a recent order.

If you do require customers to write into support (or if customers bypass your self-service options), set up a ticket prioritization system to surface those urgent tickets before it’s too late. Ensure that your support reps can do a quick information search to find the order and change or cancel it quickly.
Here’s an example of a Gorgias Rule that automatically tags tickets about order cancellation requests from orders within the last two days, so your agents can confirm the cancellation before the order is shipped:

Retail disruptions have reached 59% or higher over the past couple of years. With supply chain issues and shipping delays, giving people as much information as possible about how and when their purchase will reach them helps better meet customer expectations.
Plus, questions about order status make up a large chunk of customer service requests. So, preemptively providing this information can help reduce the number of those repetitive tickets that don’t actually require a human touch.
Offering real time order tracking information (ideally, without making customers jump through hopes) provides transparency, sets expectations, and allows customers to stay up to date with any order delays or changes without having to reach out to customer support.

📚Recommended reading: Check out our post on how to offer real-time order tracking for more strategies.
Every moment, from the moment a shopper makes a purchase to when they unwrap your product for the first time, should build anticipation. Creating a fun and creative unboxing experience will help.
Stationary brand Ohh Deer and its subscription program Papergang sends visually stunning packaging, especially for its monthly boxes. These fun, “keepable” boxes spark joy, can be reused or gifted, and create an overall positive experience that customers can look forward to.

To get started, take a look at brands like Arka or Fantastapack, which provide custom options for enhancing your packaging.
When customers inevitably experience hiccups in the order process, the goal is that their behavior is constructive and positive, rather than angry and combative. To get that kind of post-purchase behavior, you need to offer easy paths to contact customer support and a smooth return or exchange process.
Customers love the peace of mind of knowing that they can return something without hassle, even if they never have the need. Communicating that returns are easy (and free, if you can manage it) upfront can even encourage shoppers to convert.
Still, solely-online retailers can be tricky for consumers. Many are hesitant to make a purchase decision on items that they can’t see in person first. To address that concern, share your returns process and policy in every order confirmation email and in FAQs and the Help Center on your website.
Mattress company Casper created an easy and generous return policy that’s a gold standard for ecommerce: If you don’t like your mattress, tell them within 30 days, and they’ll cover shipping for a free return. With something as bulky as a mattress, free return shipping can eliminate any concerns about not liking such a big investment.

A returns tool like Loop can really help you optimize the product so customers don’t have to jump through hoops to return a product:

Encouraging shoppers to make an exchange keeps them around as a customer and also allows you to keep the revenue from the sale, which will help with your bottom line. According to returns tool Loop, “Turning refunds into exchanges is 10x more impactful than reducing return costs.”
Loop incentivizes returns by offering customers slightly more in-store credit than they would get for a refund:

Shopify stores that use Loop for their returns see a 15% reduction in returns on average. If you use Shopify or Gorgias, it’s easy to integrate Loop as an impactful return/exchange tool.
Devices or tools that arrive with no or unclear instructions, DIY furniture assembly that seems nearly impossible, or even complex software tools with poor onboarding can cause a less than positive experience, even if the end product is great.
Create a simple YouTube video, send clear step-by-step instructions with images, or share a live chat hotline customers can reach out to if they get stuck. These options make it easy for people to get all of the information they need to set up or use the product or service they just purchased successfully.
For example, GEN3 e-bikes come with a paper manual for assembly, but they also send a QR code (using a QR code generator like Beaconstac) that takes shoppers to a short, high-quality how-to video that’s less than 5 minutes long.
Brands usually send a customer satisfaction (CSAT) score after a customer has interacted with customer support. Consider only asking for product reviews from people who score 4 or 5 on CSAT and leave positive feedback about their interaction with support.
If you use a helpdesk like Gorgias, you can likely send these kinds of CSAT surveys automatically after conversations, purchases, and other kinds of transactions:

📚Recommended reading: Our Director of Support’s guide to improving CSAT score and survey response rate
The time when shoppers are still deciding on a purchase is a prime opportunity for your support team to cross-sell or upsell them on additional items.
For example, a customer might have trouble finding an item on your website that they saw on social media. Or, they might ask for recommendations for what to purchase or for items that will go best with the item that they already bought from you.

After a purchase is complete, consider surfacing additional product recommendations for customers via email. Even if these don’t result in an immediate second sale, you keep customers engaged and thinking about how that recommended item would improve their lives or enhance the use of the current item they have.
Providing discounts or other perks in exchange for social media shares and reviews brings more exposure to your brand and enhances the post-purchase experience for your fans.
Underwear brand Parade runs a program like this called Parade Friends. Existing customers apply for the program, and once accepted, post pictures of themselves wearing Parade items on social media. Their followers can then use their Instagram handle as a discount code, incentivixzing future purchases (with a discount for customer delight).

That means that both parties benefit, which makes them happy, and you benefit by bringing in new customers and more revenue.
For many brands, community drives customer perception of the brand — and drives future sales. Brands have leveraged Facebook groups, Reddit forums, Instagram Live, and more to encourage community among their customers and fans.
For example, soap shop Dr. Squatch hosts its community on Discord, a community-based social and chat platform, so its customers can hang out with each other and chat about the brand.

Creating a community can increase customer engagement and satisfaction, generate trustworthy, quality customer feedback about your products, and make more opportunities for cross selling and upselling.
📚Recommended reading: What is Ecommerce Community Management and Why Does it Matter?
Inevitably, your brand won’t always be top of mind for customers, even if they absolutely love it and your products. This is where a thoughtful marketing strategy comes in, and where email automation can be really effective.
Set up automated flows that offer personalized product offerings, discount emails based on customer behavior, target returning customers, and ask for feedback.
📚Recommended reading: 8 Ecommerce Email Automation Series for Online Stores
Turning first-time customers into repeat, loyal, raving-fan customers takes meticulous attention to the customer experience, especially in the post-purchase window. This is where Gorgias shines.
Ultimately, getting the ideal post-purchase behavior starts — and ends — with delivering a great customer experience, especially in the post-purchase evaluation phase. Gorgias delivers a powerful platform for your customer service helpdesk, tailored to the needs of ecommerce businesses who want to deliver an exceptional customer experience.
Gorgias offers powerful features that drive ecommerce success, including:
See how Gorgias can transform your customer service efforts. Sign up now!
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Did you know that 80% of companies base annual pay increases on performance? Doing so may seem like a no-brainer, especially since other studies like Lattice’s State of People Strategy show effective pay-for-performance strategies are indicators of individual and company performance.
But despite this evidence, we at Gorgias believe compensation shouldn't only be based on performance. The right combination of performance, behavior, and business needs will lead people to a promotion, but we don't provide individual salary raises (that aren’t tied to promotions) based only on performance.
You might be raising an eyebrow, but don’t click away. Removing performance-based compensation helps us reduce bias and focus on long-term growth.
Here’s our compensation plan in a nutshell:
First, let’s define what we mean by compensation here. In this post, I discuss the total package offered upon hiring and the so-called “merit cycle” which gives financial rewards to “top performers.”
I won’t open the topic of commissions, which is a slightly different pay structure. It’s also an interesting topic — maybe a future post?
Regardless, here are the main reasons we don’t believe in compensation models that reward individual performance.
Startups move fast, and managers do too. Even managers who are aware of bias are still susceptible to them. And evaluations of employee performance are very hard to rid of bias.
Let me ask you this: Would all employees have the same salary today if they had different managers? At most organizations, the answer is no. When one manager decides yearly compensation of their direct reports, those direct reports end up with subjective, bias-ridden compensation. That’s no good.
You're probably well aware of biases, so let's skip the usual suspects like affinity bias (which makes you like more people who are similar to you) and focus on others.
Pressure bias occurs when an employee constantly talks about money and puts pressure on you to give them more. A common response is to compromise, just to end the uncomfortable pressure: "Alright, I'll give them at least a 3% raise so they won't complain forever."
You might be thinking, "I'm experienced and wouldn't do that." That might be true. But a more junior manager might reward employees who apply this kind of pressure, and that's a problem.
Visibility bias is the phenomenon of noticing (and rewarding) an employee just because of visibility. Perhaps they had a very visible project, or are vocal in meetings and on Slack. Or, perhaps they work in the same office as their manager and get more one-on-one time than remote teammates.
Just because you — or even the CEO — see more of one person or their projects doesn’t mean that person had the strongest impact. And it definitely doesn’t mean they deserve more compensation than teammates with less visibility.
Ah, my favorite topic. Let me illustrate with an example.
Imagine you have three employees. The first one has been here the whole year. The latter two have been absent for a few months due to illness and maternity leave. They've only been present for two or three quarters out of the four.
If you pay based on performance, you should reward the employee who had a greater impact by simply being present and shipping projects — right? But if this is the case, the employees would be punished simply for taking time off (which is a legal right).
Women are still paid 16% less than men in the US and 18% less in Europe. The same issue applies to people with disabilities. Compensation-based performance perpetuates these unfortunate statistics.
"But wait," you might argue, "performance should be assessed when the employee is here. If someone is absent for several months, you evaluate their performance and increase based on the period of presence."
This compensation strategy makes sense in theory but introduces room for interpretation and “gaming the system.” Now, employees have to strategically plan their absences around the annual performance appraisal to ensure they don't miss out.
What about a mother who is having her third pregnancy and is entitled to a one-year leave in many countries and companies? Would you truly base her performance increase on her performance from a year ago?
By penalizing employees for being away for a few months, you're creating unnecessary complexity and potential discrimination.
You may excel in one project, perform slightly below par in the next, and then shine again in another.
Let’s say your scope switches a bit and suddenly you’re not as great at keeping up with everything, you’re just good. However, your compensation is still higher — even if a colleague is now performing at a higher level.
It's the famous Peter Principle in action: People end up in positions where they perform at their worst because when they're great, they keep getting promoted.
By paying based on performance you apply the Peter Principle on compensation: You will ultimately pay employees more than the level of their performance.
For the same reason, we don’t believe compensation should be based on tenure. If you are rewarded for your tenure, over the years, you’ll become isolated at a very high level of compensation and misaligned with the market.
As the years pass, it will become extremely hard for you to find a job that pays what you expect and ultimately you can become unemployable. As a consequence, you’ll be very likely to stay but not for good reasons.
"But if you don't pay based on performance,” you say. “How is it fair that a high performer makes the same as an average performer?"
My answer is simple: As a human resources leader or a Manager, you must work tirelessly to avoid having average team players. You don't want average; you want excellence. A+ players only, period.
"This is unrealistic," you say. "You'll definitely have average employees, even poor ones."
I agree. But not for long. If you set high expectations and transparently communicate this at a company level, there are no surprises. If someone misses their performance goals too many quarters in a row and becomes a low performer, we trigger a performance improvement plan (PIP).
At Gorgias, our ultimate goal is to have the absolute best versions of ourselves in every corner of the company. Pay-for-performance programs force people to constantly strive to be "better" than others, which directly contradicts our company's vision of fostering high talent density. We believe this model leads to better employee engagement and company culture.
And ultimately, pay-for-performance doesn't work for top performers. When someone sees themselves as a rockstar and expects a 20% increase, but only receives 5%, it creates a misalignment between their beliefs and reality. With performance-based compensation as an option, it’s hard to make top performers (or anyone, really) satisfied.
Well, dear hiring manager, I'm sorry to burst your bubble, but no.
We share our compensation package with candidates right at the beginning of the hiring process (they can even check our salary calculator). If they say they're good with it, they're good with it. No surprises at the end, we offer exactly what we've shared from the start.
Being absolutely inflexible on this matter has made my life (and the lives of everyone involved in the hiring process) so much easier. No need to negotiate with HR when sending an offer. No need to get finance involved to revalidate the budget. It's smooth sailing.
I'm not saying that paying for performance is inherently bad. Obviously, if 80% of companies do it, there must be advantages like boosting retention of top talent.
I'm also aware that my vision may seem utopian. Maybe it's not entirely scalable, and perhaps we'll have to revisit our principles at some point.
But I've been told so many times that many things were not scalable and proved the opposite.
Not yielding is hard. Sticking to your principles is challenging. But adhering to your core principles is what creates wonderfully exciting machines like Stripe, Netflix, Apple, and Amazon.
You might think, "When people join a 20-person company, they know they're expected to work hard and strive for excellence. But when they join a 250-person company like Gorgias, they're not looking to work hard without direct compensation increases."
Maybe that’s true for some employees. As for me, I've worked just as hard in my previous 400,000-person company as I do in my current 250-person company.
And for those who desire something different, that’s okay. We just have to make our stance and policies clear and transparent in the interview process.
Yes, Gorgias is not for everyone. It's for people who thrive in a fast-paced environment, possess a growth mindset, and want to advance their careers. It's completely fine if it's not for you.
As long as we're aligned and embrace this statement, I sincerely believe we can continue scaling by paying people with the same job title and seniority level the same salary.

Quick summary:
Choosing the right ecommerce platform to host your online store is no small decision, but sometimes it's hard to know which option is right for your business. Shopify and Shopify Plus are two platforms that get a lot of buzz within the ecommerce community, and many store owners give them rave reviews.
What’s the difference between the two, and which plan is best for your ecommerce store? The main difference is that Shopify is for small and midsize businesses (SMBs), while Shopify Plus is for larger, or even enterprise-level businesses.
Below, we’ll discuss what each plan offers before diving into pricing structures and key differences between Shopify and Shopify Plus. Whether you’re considering upgrading to Shopify Plus from the regular Shopify plan or migrating from another ecommerce platform (like BigCommerce or Magento), read on to understand which option is right for you.
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Shopify is an ecommerce platform that offers businesses a way to promote, sell, and ship their products. It’s widely recognized as being great for beginners, meaning that the learning curve for new ecommerce store owners is minimal, and provides a level of customization that most small businesses find attractive.

Shopify Plus is a Shopify upgrade designed for large enterprises making high-volume sales that total around $1 million in gross merchandise value (GMV). The higher price tag unlocks more storefront functionality, automations, support, and integrations than core Shopify plans.
The main difference between Shopify and Shopify Plus lies in pricing, which is tailored to accommodate the unique needs and budgets of merchants.
Core Shopify plans cater to small to midsize businesses (SMBs) and has fixed pricing plans with the cheapest starting at $5/month. In comparison, Shopify Plus is made for larger enterprise businesses, starting at $2,000 per month and is customized to each merchant via quote.
Let’s take a closer look at the breakdown for each plan within Shopify and Shopify Plus.
Shopify has five plans depending on your online store requirements and the size of your team.
It’s important to note that all standard Shopify plans are subject to online and in-store transaction fees, as well as non-Shopify payment fees.

Related: Our comparison of Magento and Shopify for ecommerce merchants
Shopify Plus pricing plans can only be determined via quote but start at $2,000 per month, plus a percentage of your store’s monthly sales volume. This enterprise-level commitment comes with additional transaction fees, online store development, site launch, third-party services, and add-ons.
Shopify Plus doesn’t provide flat pricing plans. Instead, you will need to contact a Shopify Plus sales representative to receive your quote.
Understanding the main differences in the two options is essential to make the best choice for your ecommerce store.
Below, we’ve identified nine ways Shopify and Shopify Plus differ from each other, and what these differences mean for your business.
One of the benefits of Shopify Plus is that users have access to the merchant success program. This exclusive program lets Plus users connect with merchant success managers (MSMs) to optimize their Shopify Plus experience.
Here are a handful of ways MSMs support merchants:
Note: Plus users do not get a dedicated account manager, but they have direct access to a team of MSMs who are available to solve their business needs.
Shopify Academy is an educational resource hub full of advanced resources — like courses and webinars — that helps merchants improve their store’s design, marketing, operations, and more.
For merchants interested in self-guided education, the information on Shopify Academy’s information serves as a supplement to your merchant success manager to gain the knowledge you need to grow your store.
Here are a few titles you’ll find in Shopify Academy:
Related: Our list of the best customer service courses and certifications
Between Shopify and Shopify Plus, there is one major difference concerning checkout: The checkout page is customizable on Shopify Plus via checkout extensibility, while the checkout page on core Shopify plans are limited to their selected Shopify theme with no additional customization options.
Exclusive to Shopify Plus merchants, checkout extensibility is a code-free feature that allows checkout pages to have completely custom UI and content. This ability to personalize the checkout experience gives online businesses the power to greatly reduce cart abandonment and transform hesitant shoppers into customers.
On core Shopify plans except Shopify Starter, merchants can use Shopify apps to give their checkout page minor modifications to the backend logic and post-purchase experience.

Related: Our Shopify SEO guide to standing out amongst the competition
Depending on which pricing option you choose, you can add between two and 15 users to your standard Shopify dashboard (in addition to your owner profile). Stores on the Starter plan are allowed two staff accounts.

On the other hand, Shopify Plus offers unlimited staff accounts, allowing large teams access to their online store dashboard. This inclusivity allows effortless collaboration within the team when integrating order management and helpdesk tools like Gorgias. When teams combine Shopify Plus with Gorgias, they get:
The App Store is one of Shopify’s most enticing features. There are well over 8,000 paid and free Shopify apps in the new app store. Shopify itself is responsible for creating only 34 of them to date, but there are hundreds of other third-party app solutions from everything including marketing, order management, store design and customer support.
Notably, this enables easy integration with ecommerce apps like Gorgias, an excellent Shopify app for customer service and order management. You can elevate customer support with Macros, streamline order processes, and enhance the overall efficiency of your store on both a standard Shopify plan or a Shopify Plus plan.
However, Shopify Plus merchants have much more flexibility when it comes to API integrations. These users can integrate their ecommerce store with their existing ERP or CRM systems, which standard Shopify stores cannot.
A few examples of Shopify Plus API solutions include:
Related: The best 40+ Shopify apps to optimize your ecommerce store
Shopify payments are straightforward. Transaction fees are laid out as percentages of the total order volume. The Shopify POS includes a free credit card reader, which conveniently integrates your online and offline sales, no matter which plan you are on. But, what are the differences between Shopify and Shopify Plus’ payment processing and transaction fees?
For businesses using Shopify’s integrated payment system, Shopify Payments, there is no transaction fee as of May 2022. If your business uses an external payment gateway, transaction fees are as follows:
Like core Shopify plans, transaction fees are waived if your business uses Shopify Payments. However, for external payment gateways, transaction fees are as follows:
Shopify is designed to set ecommerce merchants up for success. During the checkout process, your page needs to be optimized for high conversion rates. Luckily, promotional discounts can help you achieve just that. Want to run flash sales and seasonal price reductions? Here’s how your ecommerce business can make it happen with Shopify and Shopify Plus.
There are probably hundreds of apps in Shopify’s add-on marketplace that can help you create discounts to entice your shoppers. Standard plans include the ability to easily create discounts from inside your dashboard. In addition, you can enable shoppers to redeem in-store discounts if you use Shopify’s integrated POS system.
What type of discounts can you create with a standard Shopify plan?
After you run a promotional discount campaign, you can track its progress using the “Sales by Discount” report. Regular reports provide you with insights about which campaigns are working and which ones aren’t. Use real data to power your marketing campaigns.
Children’s vitamins brand, Hiya, takes advantage of the discount options available with Shopify by doubling-down. First, they offer 50% off first order then follow it up with free shipping. Both promotion types are executable via the discount portal.

Take your promotions a step further with Shopify Plus. You can increase your cart value with Launchpad, exclusive to the Plus platform. The system automates most aspects of promotional campaigns, discounts, flash sales, and product releases.
Planning and executing an online sale usually involves tedious manual processes. When running a campaign this way, it’s difficult to make real-time optimizations to your campaigns. The add-on makes it much easier, reducing the amount of time spent launching a campaign and the risk for human error.
Here’s what you can expect Launchpad to automate for you:
Simba runs percentage discount campaigns for their online store. From a customer perspective, their campaign execution is comparable to that of Hiya above. But, as a Shopify Plus user, you can wager that they use Launchpad to automate the process rather than manually perform the tedious work.

Source: Simba
The regular Shopify plan comes with plenty of features that are sufficient for most small businesses and single-store organizations. But larger stores may find the following features and apps, which are only available for Shopify Plus subscribers, worth the higher price tag:
If you’re a Shopify store interested in expanding to B2B selling, you will need to contact a Shopify sales representative to upgrade your Shopify account.
Shopify Plus offers access to headless commerce features not found in Shopify Core plans. With headless commerce, online stores can separate the frontend customer touchpoints from the backend, allowing custom storefronts and immersive shopping experiences. "Going headless" is an excellent choice for enterprise-level businesses aiming to scale, especially with dedicated developers on the team.

On the other hand, standard Shopify plans don't have access to headless commerce and rely on templates and themes for their online store designs. This limitation can be limiting for businesses in the midst of expansion as it restricts them from fully scaling their online presence.
Shopify and Shopify Plus both have tools to help you reach a bigger audience, scale your business, automate your processes, and stay competitive. If you're trying to decide which one will work best for you, think about the pricing structure that works best for your business, the customization and customer support you need, and the areas of the world you want to reach.
Regardless of your choice, consider how you’ll provide fast, helpful customer service to visitors of your store. Gorgias integrates with Shopify and Shopify Plus and is the only customer service platforms to receive the distinction of being a Shopify Plus Partner.
Want to know more about Gorgias’s centralized, automation-powered, and revenue-generating customer service solution? Yes, book my demo.
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61% of consumers define an excellent customer support interaction as one with a quick resolution, according to a 2021 study. Your overall customer experience depends on how fast you can provide answers that fully solve a customer’s problem and lets them get on with their day—without too much effort.
Average resolution time is the metric businesses use to measure how quickly their customer support teams completely close an open customer issue. It’s not the only customer support metric that matters, and I don’t recommend holding it up as the holy grail of your team’s success. But it’s certainly worth measuring (and, usually, lowering) because it can make or break the customer experience — especially for urgent issues like lost packages, billing issues, or outages and bugs.
Learn all about average resolution time below, including what it is, how to measure and interpret your average resolution time, and how to lower your brand’s resolution time and make customers happy.
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Resolution time, also called time to resolution or mean time to resolution (MTTR), is the average amount of time a customer spends interacting with a business’s customer support, helpdesk, or customer service team before their issue is solved.
The clock starts ticking the moment a customer writes or calls your support team. It includes the amount of time customers wait before getting a first response and any additional wait time between conversations. The clock stops ticking when the question is resolved and the support interaction is complete.
Most brands don’t measure resolution time for individual tickets; they measure resolution time across all tickets — average resolution time. Apply a formula like this one to measure your business’s average resolution time:
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Average resolution time = Total resolution time in a defined period / Total number of customer interactions resolved in that period
If you conduct customer support directly on email and social media, you’ll have to calculate the total resolution time for all tickets by hand. This is tedious: You’ll have to subtract the difference between the timestamp of the last message in an interaction from the timestamp of the first message.
However, if you use a helpdesk for customer service, you’ll likely have access to a dashboard that reports on your resolution times. Here’s what average resolution time looks like in Gorgias, which you can view by agent, channel, time frame, and more:
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Orange represents average resolution time, while red represents the resolution time of the 10% of tickets that took the longest to resolve.
Ecommerce businesses work especially hard to reduce their average resolution time because of the high customer expectations: 63% of customers will leave a brand after a single bad customer service experience. The stakes for fast, helpful customer service are high.
But defining a good resolution time is difficult because of a variety of factors:
But perhaps the most important “it depends” for resolution time is the type of ticket in question. At Gorgias, we encourage you to categorize every ticket into one of two categories: simple requests, which you can automate entirely, and complex requests, which will (and should) have higher resolution times.
Rather than trying to drive a variety of tickets to an arbitrary benchmark, you can clear your queue of repetitive, tedious tickets so you actually have time to handle and more efficiently resolve more complex ones.
Here’s what we mean:
Questions like “Where is my order?” or “What’s your return policy?” or “Where do you ship?” might not take long to resolve individually, but they tend to take up a lot of time because customers ask them at such a high volume. We call them “empty calorie” tickets. You could try and resolve these tickets one by one, but it’s much faster (for both customers and agents) to provide helpful, automated answers.
Here’s how you can provide instant answers to these types of questions:
This way, when customers ask these FAQs, they’ll immediately get a resolution-worthy response — assuming the templated response is helpful — without any agent effort.
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Even better, you can set up self-service resources like FAQ pages, knowledge bases, or Quick Response Flows like the one pictured below:
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Again, the goal is to deflect empty-calorie tickets from your queue so agents don’t have to rush through complex, escalated, or high-impact questions. And don’t worry: Customers always have a clear path to a human agent if they need extra support.
Once you automate simple tickets, your helpdesk will have a higher ratio of questions that actually need human attention. This way, your customer service agents won’t have to rush through a mountain-high pile of tickets each day.
It may sound counterintuitive, but slowing down is often the best way to lower resolution time for these types of tickets. They need some extra research, personalization, problem-solving, and empathy to fully resolve. And taking a few extra minutes to resolve these issues won’t be an issue because you don’t have a queue overflowing with easy tickets waiting for an available agent.
These types of questions include:
Now, we’re not saying resolution time doesn’t matter here. It does. But it’s a mistake to expect these tickets to match the resolution time of the first category, and lumping them all together in terms of metrics will paint an unclear picture of the problem.
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Now that you’ve separated simple and complex tickets, consider each channel your customers use: email, DMs, live chat, and so on. Customers have expectations for each support channel, and I recommend building your service-level agreements (SLAs) for each channel’s resolution time around those expectations.
Below, I recommend some rough benchmarks for major support channels. That said, the time frames listed below are ambitious, so aim for gradual improvements based on your current average resolution times rather than matching my suggestions exactly.
Email isn’t an instant messaging channel, so customers don’t expect instant responses. Ideally, you should respond within the same day — within a few hours is even better. Email works well for complex issues, where customers may need to explain an issue in detail or send a picture of their purchase.
As a live messaging channel, SMS resolution time should ideally be less than 10 minutes. SMS texting usually involves shorter messages than email, so it’s best to funnel quick, simple interactions to SMS. That said, one benefit of SMS is that customers can start a conversation and text you throughout the day, so the channel’s resolution time might be a bit longer than other live channels like live chat.
Learn more about offering SMS customer service with Gorgias.
Live chat is the most immediate channel because customers are usually sitting by their computers for the entire conversation. With that in mind, aim for an average resolution time of under 10 minutes, too.
Live chat is great for real-time conversations and can be combined with chatbots or other self-service features for automating the simplest queries. One downside is that impatient users may switch tabs and forget about the conversation, driving up your resolution time metrics. But Gorgias features like our in-message product cards are great at keeping customers engaged until a resolution:
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Some brands are worried about high resolution times from live chat if messages come in outside of business hours. Check out our post on how Gorgias helps small teams manage live chat if you have this same concern.
Check out our post on live chat support for more information about this support channel.
Phone calls are one of the quickest paths to a resolution since you can collect details, offer multiple tactics to solve the issue, and stay on the line until the customer is completely satisfied — no back and forth necessary. Gorgias customers improve ticket resolution by 34% by adding phone support.)
Aim for resolution time under 10 minutes for the simple tickets, but also leave the door open for longer phone calls as a great strategy to handle complex issues. You don’t want to rush through a phone call with frustrated or VIP customers for the sake of hitting a resolution metric.
Read more about the benefits of phone support for your brand.
Your customers will think of social messaging as nearly the same as live chat, so treat it the same: resolution time within minutes (certainly under 10 minutes). When they get what they want, customers love social because it feels like a shortcut compared to phone or email. But, like SMS and live chat, social media can be a difficult channel in which to solve complex issues.
Check out our guide to social media and customer service.
Each channel has its strengths and weaknesses in terms of helping the customer solve their issue. Some are better for solving issues quickly, while others excel at solving them thoroughly.
There is no single best channel. The real goal should be solving the customer’s issue efficiently and completely. For that matter, ecommerce businesses can’t directly control which support channel customers will choose, so the best approach is to provide omnichannel communication that focuses on meeting the customer where they’re at and using a customer service platform that reduces platform-switching for customer service agents.
One important distinction in this discussion is the difference between resolution time and first reply time (FRT).
First reply time measures how long a customer has to wait before getting a response from your support team. Obviously, a customer who's been on hold for an hour will be in a certain frame of mind when they finally get a hold of a team member — and it isn’t a good one.
Across all live channels (on-site live chat and SMS, for example), a reply time under two minutes is a good target. Email, on the other hand, can usually have a longer first reply time — up to a few hours is acceptable.
While keeping first reply time low is important, relying solely on this customer service metric is a mistake. For example, if your team’s only goal is to keep first reply time below two minutes, they may do a great job at making that initial contact — at the cost of actually solving people’s problems promptly. This scenario will also correlate to lower customer satisfaction (CSAT) scores, even when your team hits its KPI for reply time.
In reality, both resolution time and first reply time are important, in nearly equal proportion. Placing more emphasis on one than the other can lead to problematic interactions with customers, so ecommerce companies should take a balanced approach.
Within Gorgias, users can see their unique support performance score. This powerful metric combines three customer support metrics (first reply time, resolution time, and CSAT score) into a single metric to give you a more well-rounded view of your support team’s performance.
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Now that we’ve formed a framework for categorizing and thinking about support tickets, it’s time to work on reducing resolution time — intelligently and carefully, so you don’t run into the pitfalls we’ve mentioned.
Here are seven strategies.
First up, the best support ticket is the one that never exists because the customer solved their own problem. The next-best? One that you can close out almost immediately by pointing the customer to an existing resource.
FAQ pages provide value to you and your customers:
Process automation can significantly reduce first response time using automated responses (macros and rules) and self-service automation. Getting through initial triage via automation frees up your customer support agents to do the harder work. Chatbots can even solve simple tickets on their own, and your human team will get to ticket resolution faster when they aren’t swamped with empty-calorie tickets.
If most of your customers contact you on slower channels (like email), consider reminding them about faster channels like live chat and SMS. Point out that live chat customers get an answer in three minutes on average, and users with simple questions may decide to hop over.
Berkey Filters, a Gorgias customer, did just that after launching an SMS support channel. They implemented several tactics like:
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Your business should prioritize certain ticket types — the highest-value tickets might include VIP customers, customers about to make a purchase, and escalated customers. I recommend focusing on decreasing resolution times for these high-value tickets first and foremost, regardless of your overall metric. (Again, automating simple requests makes prioritizing these tickets even easier.)
Gorgias can use Shopify or BigCommerce data to tag customers who have spent over a certain amount as VIPs, pushing them to the front of the queue. Likewise, Gorgias’s sentiment detection can flag escalated customers.
Learn more about triaging and prioritizing customer service tickets using Shopify data.
If your brand sells vastly different products — or sells to vastly different types of customers — one way to prioritize tickets is to create specialized teams. This way, you don’t need to waste any time playing hot potato with the customer query. You simply auto-assign tickets to the appropriate team.
For example, say you sell desks to individuals as well as offices. More than likely, someone buying a single desk for their house will have different needs and questions than someone buying 100 desks for the business’s office. Using Gorgias, you can auto-assign tickets to a specialized team based on channel, language, or a myriad of other qualities with the support of auto-tagging.
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Technical issues can increase resolution time; sometimes, the answer lies elsewhere, outside your support team. Make sure you create clear escalation workflows so that, when these kinds of issues arrive, your team knows where to send them (and those other resources know the importance of responding promptly).
For example, if a customer had trouble with a missing package, they might need to speak directly to your fulfillment team. Likewise, if a customer has an issue with the functionality of your website, you may need to rope in your software engineers. Don’t wait until an issue arises to try and chase down these other teams — that’s a surefire path to a long resolution time.
The more manual your processes and the less connected to what you already know about customers, the longer it takes to close tickets and the more frustration you’ll likely create with customers.
So use the tools you already have (like historical data and perhaps templates) and leverage new, powerful tools like Gorgias’ ticketing system to expand your capabilities.
In 2022, we studied the data from over 10,000 ecommerce brands and sat down with 25+ ecommerce brands to understand the connection between customer experience and growth. We found that when brands lower their average email response time to under six hours, they lift overall revenue by about 2%.
Ready to learn more? Check out our ultimate CX playbook for 18 tactics to boost revenue through CX.
Want to lower your resolution time? Gorgias can help. Gorgias is customer support and helpdesk software that can help ecommerce support teams become more efficient, improve customer experience, and drive revenue.

Shopify comes equipped with everything you need to get your ecommerce store up and running, but if you really want to optimize it for time-saving efficiency and maximized sales, you are going to need to rely on some third-party apps from the Shopify app store.
From automating your email marketing campaigns to helping you better manage your inventory and much, much more, there is a large number of capabilities offered by the best Shopify apps. To help you decide which of these apps is the best choice for your ecommerce business, we'll take a look at the most important qualities to look for in a Shopify app before diving into the 40+ best Shopify apps available today.
For easy skimming, we've pulled out the top 10 Shopify apps for ecommerce stores below.
While the exact features and functions of Shopify apps can vary dramatically from app to app, there are still a few essential qualities that you will want to look for no matter what type of app you are needing. This includes qualities such as:
Like people, Shopify apps work best when they work together. Being able to integrate your email marketing app with your shipment tracking app, for example, means that you'll be able to send automated shipping updates to customers.
Integrating your customer support platform with your call center app, meanwhile, means that your agents providing phone-based customer support will have a wealth of data on the customers they are speaking with at their fingertips throughout each call.
These are just two examples of how it can be beneficial to choose apps that can integrate with your other ecommerce tools. Of course, it's also important to choose apps that will integrate with your ecommerce platforms, which is why all of the apps in our list are capable of integrating with Shopify, Shopify Plus, or both.
Plug-n-play solutions that don't offer much room for customization may seem convenient at first. As your business grows and scales, though, you are likely to find that these solutions no longer meet your needs like they once did.
While learning how to navigate Shopify apps that offer a wide range of customization options might require a bit of a learning curve, it's almost always worth it in the end.
Even the most well-polished apps still require regular updates and maintenance to continue functioning correctly. In addition to scheduled updates and maintenance, it is also essential to choose apps whose providers are willing to work with you to quickly correct any bugs or issues that come up while you are using the app.
This makes great customer support a vital quality to look for in Shopify app providers no matter what type of app you are purchasing.
Gorgias is an all-in-one customer support platform (including a helpdesk and live chat support) that provides a centralized help center for your customer support agents to provide great, revenue-generating customer experiences.
Gorgias lets ecommerce brands centralize conversations from every channel, empowered with features including:
If you are looking for a tool that will improve the customer experience on your website while at the same time reducing the burden of your customer support team, then Gorgias for Shopify is an excellent app to consider.
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Tidio is an app that provides both live chat and chatbot capabilities for your Shopify store, with AI-powered chatbots that allow you to automate up to 40% of your customer support conversations.
Help Center is a customer support solution that provides tabs for organizing your product descriptions, live chat software, a HelpDesk ticketing system, and an FAQ builder that allows you to create a comprehensive FAQ page in just a matter of minutes.
According to data from the Content Marketing Institute, 31% of B2B marketers say email newsletters are the best way to nurture leads. With these must-have Shopify apps for email marketing, you can automate your email marketing campaigns, create stunning branded emails, better segment your list for improved targeting, and beyond.

With Automizely Email Marketing, online store owners are able to create email campaigns that are both personalized and automated in addition to helping them create professional-quality emails using Automizely's drag-and-drop email editor.

Omnisend is a highly-popular email marketing tool that provides access to pre-built email and SMS workflows and templates, gives you the ability to segment your subscriber lists based on a wealth of data, and allows you to create automated email marketing campaigns that are sent out based on customer activity triggers.
See how Omnisend integrates with Gorgias.

With Klaviyo, you are able to easily segment your email list for personalized targeting before creating automated email campaigns that can be sent out based on a variety of custom triggers.
See how Klaviyo integrates with Gorgias.

Attentive is an SMS and email marketing solution that makes it easy to build and optimize campaigns while remaining compliant with SMS and email marketing regulations. This platform is designed to help store owners grow their subscriber lists and engage with these lists more effectively with segmentation and targeting functionality to generate high-impact campaigns.
See how Attentive integrates with Gorgias.
Selling more products is the ultimate goal of every Shopify store owner. With these sales and conversions Shopify apps, you can boost your sales with sales enablement tools such as SMS messaging tools, loyalty and referral programs, list segmentation tools, and beyond.

Marketed as a conversational text marketing ecommerce platform, Cartloop is designed to help ecommerce brands grow their subscriber base and engage with them on a more personal level. With highly targeted campaigns, Cartloop leverages simple text messages to help Shopify store owners increase revenue.
Recharge is a Shopify app for store owners who sell subscription-based products or services that makes it easy to set up and manage subscription programs in addition to providing your customers with the ability to manage their subscriptions either via SMS or through a user-friendly customer portal.
See how Recharge integrates with Gorgias.

Postscript is an SMS marketing tool that allows you to grow your SMS subscriber list with customizable opt-in tool templates, create hyper-targeted list segments based on your Shopify store data, and easily message customers with both one-on-one and mass messages.
See how Postscript integrates with Gorgias.

With Spently, Shopify store owners are able to turn their standard Shopify post-purchase notification emails into customizable, branded emails complete with product recommendations, discount codes, and other custom features.
Shopify provides all of the tools you need to create a basic online store. If you would like to create new features for your store that are not already supported by Shopify, though, you are sure to find these Shopify development apps highly beneficial.

Shopify's default product search function can be somewhat limited. With Omega Instant Search, though, you are able to develop a product search function for your store that is much more powerful thanks to features such as spell correction, fallback search, redirects, and synonyms.

A mega menu is a feature that allows you to display multiple menus from a single dropdown in your store's navigation, making it much easier for customers to find the specific products and collections that they are looking for. With Buddha Mega Menu, you can create an attractive and fully-functional mega menu for your Shopify store in a matter of minutes and cross-sell like a pro.

Smart Bar is an app that allows you to quickly create promotional bars and banners for your online store and populate these promotion bars and banners with conversion-boosting features such as countdown timers and free shipping bars.

404 page errors can potentially cost your store a lot of customers by both encouraging would-be customers to navigate away from your website and harming its SEO. With Easy Redirects, though, you can automatically find and fix all 404 errors on your Shopify store.
Hextom is a SaaS company that offers a number of different development solutions for Shopify stores, including a bulk image edit solution, a bulk product edit solution, an email collection bar, a payment processing tool for converting foreign currencies, a countdown timer bar, and more.

Vela is a solution that provides a centralized dashboard for managing multiple Shopify stores as well as the ability to bulk edit every aspect of your product descriptions.
According to data from Baymard Institute, 70% of shopping carts are abandoned before the customer completes their checkout. By enabling you to create fast and optimized checkout pages, these checkout Shopify apps can help you lower your abandoned cart rates and ultimately increase sales.

One-Click Checkout is an app that enables you to create "Buy Now" buttons for your products that take customers directly to the checkout page as well as create a checkout popup that shows customers the items in their cart each time they add a new item to the cart.

Integrating payment processing app Klarna into your online store provides your customers with the ability to split the cost of their purchase into four interest-free payments while still ensuring that you get paid upfront and in-full.

Fast Checkout In One Click is an app that allows you to create animated "Buy Now" buttons that direct customers straight to checkout, skipping the cart page and reducing the likelihood of an abandoned cart. Make your sales channels work harder for your brand.

Transcy is a language and currency conversion app that will automatically translate both the content and USD prices on your online store into the language and currencies of the customer viewing them, making it one of the best apps for stores that sell to a lot of international customers.

Buy Me Button is a Shopify checkout solution that offers features such as "Buy Me" buttons that take customers straight to checkout, a cart preview popup that appears when customers add a new item to their cart, and "Quick Buy" buttons that allow customers to purchase products from any page or listing on your website.
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One Click Upsell is a Shopify app designed to help store owners increase their average order value by presenting customers with upsell opportunities at checkout. With One Click Upsell, you can create one-click upsell options that are shown to customers either before or after checkout that allow them to add additions to their purchase with just a single, convenient click.
Keeping track of your inventory and ensuring that you always have the appropriate amount of products in stock to meet customer demand can sometimes be a time-consuming challenge.
With these inventory management Shopify apps, though, you can streamline and automate your various inventory management processes, freeing you up to focus on bringing in new customers and growing your store's revenue.

Katana Manufacturing ERP is an inventory management solution that allows you to optimize inventory movements by setting up reorder points and prioritizing your sales orders.

With Stock Sync, store owners are able to set up automatic inventory updates, update existing products via over 80 different connection methods, and set quantity rules to avoid overselling.

One of the most well-known inventory management solutions, QuickBooks Commerce is a platform that allows you to manage your product listings across multiple channels, track products from inventory to fulfillment, automatically update your inventory levels, and much more.

Stocky is an inventory management solution offered by Shopify that enables Shopify store owners to achieve complete visibility over their inventory through detailed inventory analytics and insights such as demand forecasting. Stocky also makes it easy to create and manage purchase orders from one place.

More of a logistics service provider than an application, ShipBob is a service that allows ecommerce store owners to ship their products in bulk to ShipBob warehouses across the country. Once you've delivered your products, ShipBob then takes over all inventory management and order fulfillment responsibilities on behalf of your online store — picking, packing, and shipping products to customers as they're ordered.
ShipBob is a common alternative to Shopify Fulfillment Network.
See how ShipBob integrates with Gorgias.

AfterShip Returns Center is a solution for managing customer returns that allows store owners to create a branded and interactive self-service returns page, provide customers with automated real-time updates regarding the status of their orders and returns, and set up smart routing rules to ensure that items are sent back to the right place at minimal cost.
See how Aftership integrates with Gorgias.

Encouraging exchanges for returned products rather than refunds is a great way to reduce the often substantial impact that product returns have on a store's bottom line. With Loop Returns, Shopify store owners can let customers take control of their returns and exchanges and free up their team.
See how Loop integreates with Gorgias.
According to a report from eMarketer, the number of US customers who purchased products directly from social media platforms grew to 80.1 million in 2020 and is expected to increase to 96.1 million in 2022. With these social media marketing Shopify apps, you can ensure that you are leveraging the advantages of social media marketing to their full potential.

With Outfy, Shopify store owners are able to automate the process of promoting their products on social media by creating and scheduling product promotion posts that can be automatically posted across multiple social media channels at once. Outfy also makes it easy to create collages, videos, and GIFs that you can use to make promotional posts really stand out.

Zotabox is an all-in-one ecommerce marketing platform that offers over twenty different marketing tools in one package, including tools such as a landing page builder, a Facebook reviews integration, Facebook live chat, and a promo popup.

With Instafeed, Shopify store owners are able to display content from their Instagram profile on their Shopify store in order to create social proof and expand the reach of their Instagram content.

Facebook Channel is a tool that allows you to sell your Shopify products directly on Instagram and Facebook by making it easy to set up Facebook and Instagram shops.
If a Shopify store has great products but no one ever visits it, does it make a profit? Unlike the well-known "tree falling in a forest" puzzle, there's a simple answer to this question, and the answer is "no.” By utilizing these search engine optimization (SEO) Shopify apps, you can ensure that Google lists your store snippets as high as possible in the results for relevant searches and boost the number of potential customers who find your site.

Plug In SEO is an app for Shopify stores that automates the tedious SEO process by automatically detecting and resolving a wide range of SEO issues such as broken links and missing metadata.

SEO Manager is an app that provides a range of features for boosting your website's SEO, including features such as detecting and automatically fixing broken links, JSON-LD data support, automated title, description, and image alt text templating, Google sitemap submission, and much more.

If the images in your Shopify store are not optimized, they could slow down your loading speeds and thus harm your site's SEO. With TinyIMG SEO & Image Optimizer, you can automatically compress all of your site's images without reducing their quality, speeding up your loading times and boosting your SEO. TinyIMG SEO & Image Optimizer also provides a range of other SEO features such as broken link detection and redirect and metadata optimization.

Yotpo is a review app that lets you stay engaged with customers, using email or SMS and a variety of customizable opt-in tools. Segment your lists based on detailed customer analytics, whether new or returning. The most unique selling point of Yotpo, however, is its tool set for encouraging customer reviews and dynamically displaying those reviews on your website.
See how Yotpo integrates with Gorgias.
Retention Rocket is an SMS marketing platform that allows you to grow your SMS subscriber list and encourage long-term loyalty with TCPA compliant opt-in templates. Message individual customers or entire subscriber lists directly from the app, and create automated SMS messaging campaigns that can be triggered by a wide range of customer events.

Smile.io is an app designed to help you improve your customer retention and increase your lifetime customer value by making it easy for you to create and manage loyalty and referral programs for your Shopify store.
See how Gorgias integrates with Smile.io.

With LoyaltyLion, Shopify store owners can retain more loyal customers and increase repeat purchases with customized loyalty programs. This platform simplifies the management of your customer loyalty program and offers a number of promotional marketing tools that help you promote your program to new and existing customers.
See how Gorgias integrates with LoyaltyLion.
Tthe right Shopify apps can provide you with a broad range of revenue-boosting capabilities, from tools to grow your subscriber lists to tools for improving the quality and efficiency of your customer support (and everything in between).
At Gorgias, we are dedicated to helping Shopify store owners grow by providing their customers with the best possible experience as efficiently as possible.
If you would like to see for yourself the many benefits that Gorgias provides to Shopify store owners, see how Gorgias works with Shopify and sign up for Gorgias today.
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