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Shopify customers who stopped ordering get an offer drawn from their own order history and your Shopify discounts.
Your Shopify admin is full of customers who bought once or twice, then drifted away. This agent compares each customer's last order date with the window you choose, skips anyone with an open order or a recent message, and picks an offer from the products they bought before. Shopify discounts are attached only when your rules allow, and every regained order is counted.

AI Win-Back Agent for Shopify spots customers whose last Shopify order is older than the window you set, chooses an offer based on what each one bought, and sends it through your email or SMS platform. Its two-way Shopify connection reads products, orders, customers, fulfilments and discounts on an agreed mapping. Recovered revenue is reported, not assumed.
Shopify makes it easy to acquire customers and surprisingly hard to keep them. Without a win-back routine, past buyers quietly move to competitors, and the money spent winning them the first time is lost. This edition reads your Shopify history directly, so every message is grounded in what the customer actually bought and every recovered order is proven in your store. Your discount codes and messaging platform stay yours. The Scope Card fixes the access, the rules and the testing before you pay.
The agent spots customers whose last Shopify order is older than the window you set. It then sends a re-engagement message through your email or SMS platform.
The two-way Shopify connection reads products, orders, customers, fulfilments and discounts on an agreed mapping. Each offer is chosen from what that person bought before.
Recovered revenue is reported from actual returning Shopify orders, not assumed from clicks. Each order is matched to its message through the documented field mapping.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,900 |
| Express | 15–25 working days | $3,400 |
| Rush | 10–20 working days | $3,900 |
Before you start: Record your returning customer rate from Shopify and count customers past your lapse window. Keep that count to compare against later.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build is a one-time cost. Running it costs roughly $20 to $100 a month in your own accounts for the automation platform and AI usage. Shopify and your email or SMS provider bill you separately, as they do now.
Usage during build and testing is billed to your accounts too.
Ask about running costsSeveral lapse windows, a second sending platform, another language or custom Shopify objects beyond the mapping need a Change Quote. Add a checkout note and it comes back in writing.
Request a custom versionMonthly maintenance is recommended for this edition: monitoring, fixes and change hours, for instance shortening the lapse window for a fast-moving range or swapping the discounts offered.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A retention app charges monthly by order volume | A Shopify agency quotes per campaign | Ours is one fixed price, shown before you buy |
| Lapse measure | Often based on email engagement | A list pulled once by hand | Ours uses each customer's last Shopify order date |
| Discounts | Generates its own codes | Chosen by hand | Ours uses the Shopify discounts your rules allow |
| Delivery | Installs fast, tuning takes weeks | Set per project | Ours has a fixed delivery time shown before you buy, with faster options |
From each customer's most recent Shopify order date, compared with the window you choose at intake, such as no order in ninety days. The check runs on a schedule you agree. Customers with an order still awaiting fulfillment are skipped, because they have not really gone quiet.
Only the ones your rules allow, read from the discounts you manage in Shopify. You decide at intake which discounts suit lapsed customers and under what conditions. If none applies, the agent picks a product angle from past orders and sends the message without an incentive.
Yes. A contact rule is set at intake, for example one win-back message per customer per cycle, and the agent checks it before each send. Anyone already contacted is skipped and logged, so a lapsed customer is not chased repeatedly while you wait to see whether they return.
Your existing email or SMS platform, connected as the one extra system on the Scope Card. Shopify supplies orders, products, customers and discounts, and your messaging platform delivers each message and handles consent and unsubscribes. A second sending platform would need a Change Quote.
It includes the Shopify custom app connection, the documented field mapping, your lapse window and skip rules, the offer step with discount rules, twenty test runs, two rounds of changes and a recorded handoff. The fixed price and the express and rush options are shown on this page before you buy, and every speed carries the same scope.
Roughly $20 to $100 a month for the automation platform and AI usage, paid in your own accounts. Shopify and your email or SMS platform bill you separately. We take no share of revenue recovered, and monthly maintenance is optional.
Order AI Win-Back Agent for Shopify and customers who stopped ordering get offers built from their own Shopify history on a fixed delivery date, sent through your messaging platform.



Identifies customers likely to stop buying and triggers retention flows.