A practical guide to using Shopify chat to upsell with a coupon only after an issue is resolved

Stevia Putri

Katelin Teen
Last edited October 29, 2025
Expert Verified

Let's imagine a pretty common scene. A customer gets in touch, and they're not happy. Their package is late, and their patience is wearing thin. Your support agent jumps in, quickly pulls up the tracking info, and gives them a clear, helpful update. The customer’s frustration just melts away. "Thanks so much, you've been a huge help!" they type.
That moment is more than just a closed ticket, it's a golden opportunity. What if your support team could do more than just fix problems? What if they could actually bring in more sales right at that moment of peak happiness?
This guide is all about that. We’ll walk through how to use that post-resolution high point in a Shopify chat to smartly upsell with a coupon, turning a support interaction into a sale and a happy customer into a repeat one.
Understanding the post-resolution upsell
A post-resolution upsell is exactly what it sounds like: you make a relevant offer to a customer right after you’ve successfully solved their problem. This isn't about spammy pop-ups or generic email blasts. It’s all about timing and context.
The thinking behind this is pretty straightforward but works like a charm:
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They're feeling good about you: The customer just went from frustrated to relieved. At that moment, their opinion of your brand is sky-high. They feel listened to and taken care of.
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You've earned their trust: Your support agent (human or AI) just proved that your brand is reliable. That trust makes them much more open to a recommendation.
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You have their attention: The customer is already talking to you. You have their undivided attention, which is a rare thing in the crowded world of e-commerce.
This is completely different from the usual upsell tactics, like pre-purchase pop-ups or "you might also like" emails. Those often feel random and annoying because they have no idea what the customer is actually going through. By using the goodwill you’ve just built, you can bump up your average order value (AOV) and customer lifetime value (LTV) while actually making customers like you more, not turning them off.
The old way: Manual upsells and clunky apps
While the idea of a post-resolution upsell sounds great, actually doing it well and consistently has always been the tricky part. The old-school methods most Shopify stores use just aren't cut out for this kind of smart, timely selling.
The challenge of manual upsells
For most teams, this process is done by hand. A support agent solves a ticket and then has to make a bunch of split-second decisions. It's a lot for one person to juggle, and it’s full of problems.
First off, it’s wildly inconsistent. Success depends entirely on the agent’s sales skills, their mood, and if they even remember to do it. Some agents might be great at it, but others might feel awkward about "selling" and just skip it.
Second, it’s a huge mental load. In just a few seconds, the agent has to figure out if the customer is happy, think of a relevant product from your catalog, find a discount code, and write the perfect message, all while trying to hit their response time targets.
This leads to the third issue: training and scaling. It costs a lot of time and money to train an entire support team to be good salespeople. And this whole system falls apart during busy times like Black Friday, when agents are just trying to keep up with the flood of tickets.
Finally, agents are often wrestling with different tools. They might have to switch from their helpdesk to the Shopify admin to check an order, then over to a spreadsheet to find a coupon code. This makes for a clunky, slow experience that can kill the good vibe you just worked so hard to create.
Why most Shopify upsell apps fail at post-resolution upsells
Okay, so if doing it manually is a no-go, what about the hundreds of upsell apps on the Shopify App Store? Tools like ReConvert, Zipify, or BOGOS are popular, sure, but they were built for something else entirely.
Their biggest problem is that they’re completely clueless about the conversation. They are "blind" to the support journey and have no way of knowing a customer just had their problem solved.
They’re triggered by simple rules:
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Certain products being in the cart.
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The cart value hitting a specific amount.
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The customer looking at a certain page.
These apps can't upsell with a coupon only after an issue is resolved. In fact, they can make things worse. Imagine a customer is in a frustrating chat about a broken product, and an automated pop-up offers them 10% off something else. It makes your brand look totally tone-deaf.
The real difference is understanding the moment. Traditional apps react to cart data; a smart system reacts to human emotion.
| Feature | Traditional Upsell Apps (e.g., ReConvert, Zipify) | AI-Powered Support Agent (e.g., eesel AI) |
|---|---|---|
| How it's Triggered | Cart contents, order value, page view. | Issue is solved, customer seems happy. |
| Context Awareness | None. Can't read or understand the support chat. | High. Analyzes the chat to find the perfect moment. |
| Offer Relevance | Based on generic rules ("people who bought X also bought Y"). | Based on the customer's specific problem and what they've bought before. |
| Timing | Fixed (e.g., always on the cart page). | Dynamic. Makes the offer when the customer is happiest. |
| Personalization | Low. Shows the same offer to everyone who fits the rule. | High. The offer and message can be tailored to the individual. |
The new way: How to use AI for post-resolution upsells
To actually pull this off, you need a new kind of tool, one that gets both conversations and e-commerce AI customer support. It needs to understand not just what a customer bought, but also how they're feeling. This is where an AI-powered approach really shines.
Step 1: Connect your knowledge to find the best offer
For an upsell to feel helpful and not just pushy, it has to be relevant. A generic offer just won't cut it. An AI needs access to the right info to make a smart recommendation that makes sense to the customer.
That's why the first step is to connect your AI to all your company's know-how. An AI platform like eesel AI doesn't work in a vacuum. It plugs straight into the tools you’re already using, creating a single brain that understands your business.
Key connections include:
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Shopify: To get access to your entire product catalog, see how products are related, and check inventory in real-time.
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Helpdesk History: By looking at past tickets from platforms like Gorgias or Zendesk, the AI learns from what's worked before. It sees which solutions and product suggestions have made customers happy in the past.
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Knowledge Base: Tying into sources like Google Docs or your help center gives the AI a deep understanding of your products.
The bottom line is the AI isn't just guessing. It’s using your own data and product info to make a recommendation that feels personal and actually useful.
An infographic illustrating how eesel AI centralizes knowledge from different sources to power support automation for a Shopify chat to upsell with coupon only after issue resolved.
Step 2: Build a smart, automated workflow
Once the AI has all this knowledge, you need to tell it what to do. This is where having a flexible workflow builder is so important. Instead of being stuck with rigid, pre-built rules, you want to be in the driver's seat.
With eesel AI's AI Agent, you can build the exact workflow for a post-resolution upsell. You get to tell the AI precisely how to act.
Here’s a quick look at how you can set it up:
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Detect a resolution: The AI learns to recognize when the customer's original problem (like "Where's my order?") has been solved and the customer confirms it.
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Check the mood: It then scans the customer's recent messages for positive vibes, like "Thanks so much!", "Perfect!", or "You've been a great help!"
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Take action: If the mood is positive, the AI kicks into action. It can ping your Shopify catalog to find a related product based on what the customer originally ordered.
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Present the offer: Finally, it sends a personalized message in the friendly tone you’ve set up. This message includes the product suggestion and a unique, one-time-use coupon code.
This whole thing happens automatically in seconds, creating a smooth experience that would be impossible for a human agent to do over and over again.
A screenshot of the customization and action workflow screen in eesel AI, relevant for a Shopify chat to upsell with coupon only after issue resolved.
Step 3: Test it out before going live
Look, I get it. Letting an AI talk to your customers can be a little scary. How do you know this workflow will actually delight people instead of annoying them? The last thing you want is an AI offering discounts at the wrong moment.
This is where eesel AI’s simulation mode is a lifesaver. Before you turn the workflow on for live customers, you can run it on thousands of your past support tickets in a safe, offline environment.
The benefits are huge:
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See exactly how the AI would have responded in real conversations from the past.
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Get solid forecasts on how many upsell chances the AI would have found and the potential revenue you could have made.
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Tweak your rules and prompts without any risk to your brand. You can adjust the AI's tone, change the conditions for making an offer, and get the workflow just right before a single customer ever sees it.
This is a pretty big deal. A lot of other AI tools don't have a good way to test things, forcing you to just cross your fingers and hope for the best, which is not a great strategy.
A screenshot of the eesel AI simulation feature, providing a safe testing environment for the Shopify chat to upsell with coupon only after issue resolved strategy.
eesel AI pricing
Alright, let's talk money. A big part of trying new tech is figuring out the cost. eesel AI's pricing is designed to be simple and predictable. Most importantly, you don't get charged per ticket resolution, so you're not penalized for having a busy month. Your costs are based on the plan you choose, not how many tickets your AI closes.
A visual of the eesel AI pricing page, which shows clear, public-facing costs for the Shopify chat to upsell with coupon only after issue resolved solution.
| Plan | Effective /mo (Annual) | AI Interactions/mo | Key Features for Upselling |
|---|---|---|---|
| Team | $239 | Up to 1,000 | Train on website/docs, AI Copilot for agents, Slack integration. |
| Business | $639 | Up to 3,000 | Everything in Team + train on past tickets, AI Actions (API calls to Shopify), bulk simulation. |
| Custom | Contact Sales | Unlimited | Advanced custom actions, multi-agent orchestration, custom integrations. |
Stop seeing support as a cost
That brief moment after you’ve solved a customer's problem is one of the most valuable, and most overlooked, opportunities in e-commerce. It's the perfect time to build on that positive feeling to create more loyalty and bring in new revenue.
We've established that trying to do this by hand is a recipe for headaches and inconsistent results. And those generic Shopify upsell apps? They just don't have the conversational smarts to pull it off. They see transactions, not people.
An AI-powered tool like eesel AI gives you the three things you need to make this strategy work: the intelligence to know what to offer, the control to decide when to offer it, and the safety of simulation to perfect your approach without any risk. By automating this workflow, you can turn your support team from a cost center into a reliable revenue driver.
Don't let these moments slip away. See how eesel AI can help turn your support chats into conversations that not only solve problems but also sell products. Start a free trial or book a demo to see our simulation mode in action.
Frequently asked questions
An AI agent excels by understanding the conversational context, identifying when an issue is genuinely resolved, and detecting positive customer sentiment. It then leverages your product catalog and customer history to present a relevant, timely upsell offer with a coupon, all automatically.
Traditional upsell apps are "blind" to the customer's support journey; they react to cart data or page views. An AI-powered approach, however, understands the emotional state and conversation flow, ensuring the upsell is offered at the opportune moment of customer satisfaction, not frustration.
It's highly effective because the offer comes at a moment of peak customer happiness and trust, after you've already provided excellent service. This approach builds goodwill and revenue, unlike generic offers that often feel intrusive and out of context.
The primary preparation involves connecting your AI to your existing data sources like Shopify, helpdesk history (e.g., Gorgias, Zendesk), and your knowledge base (e.g., Google Docs). This gives the AI the comprehensive understanding it needs to make smart, relevant recommendations.
Relevance is achieved by giving the AI access to your full product catalog and customer interaction history. The AI can then find products complementary to the customer's previous purchases or related to the issue just resolved, ensuring the offer feels personal and useful.
Tools like eesel AI offer a simulation mode that allows you to test your workflows on past tickets before going live. This lets you refine the AI's tone, timing, and offer conditions risk-free, ensuring it delights customers rather than annoying them.
Absolutely. By consistently transforming resolved issues into upsell opportunities, your support team shifts from being perceived solely as a cost center to a significant contributor to revenue. This strategy enhances average order value and customer lifetime value.





