Would Shopify store owners use this missed revenue analysis tool?

Ask & Offer
1

Hi everyone,

I’m an ML engineer based in Korea, and I also run a small ecommerce store with a friend on the side.

Earlier this year, our sales started slowing down, so I built a simple internal model to analyze our order and customer data.

The goal was not just to show charts, but to answer questions like:

  • Which customers should we have followed up with?

  • What CRM campaign should we have run?

  • If we had run that campaign, how much revenue might we have recovered?

For example, it suggests scenarios such as:

A. Send a reorder reminder to customers who are likely overdue for a repeat purchase
B. Win back one-time buyers who never came back
C. Follow up with customers who bought a specific product but did not buy the next related product
D. Target customers with a small offer before they become inactive

For each scenario, it estimates the potential revenue opportunity based on past order patterns.

It worked better than expected for our own store, so I’m thinking about building a Shopify version.

If any Shopify store owner here is interested, I’m thinking of doing a small test: for around $49, I’ll build the Shopify version, connect it to your store, and generate a missed revenue report based on your recent order data.

Would anyone here be interested in trying this?

4

Hey @leekxww — yes, I think a lot of Shopify owners would use this, if it plugs into actions they can actually take (Klaviyo flows, Shopify Email segments, discounts, etc.) and gives a clear “here’s the list + expected upside” output.

A few thoughts from the Shopify side that would make it easier to sell/test:

  • Start with what merchants already trust: Shopify’s built-in reports (like repeat customer rate, customer cohort, sales by customer, sales by product) help owners see what happened, but they don’t really answer “who should I message next?” Your tool filling that gap is compelling.
  • Make it feel like a report, not a black box: Even a simple table like “Customer segment → recommended campaign → audience size → predicted lift → assumptions” will land well. This is also why apps focused on reporting do well—people want something they can sanity-check (similar vibe to what you can build with Mipler reports when merchants need customer/order-level lists, not just charts).
  • Output matters more than the model: Merchants will pay for:
    1. a downloadable customer list/segment,
    2. suggested message timing, and
    3. a revenue range (best/base/worst) with assumptions.

For your $49 pilot, I’d position it as: “I’ll deliver 3–4 missed-revenue opportunities + the exact target lists,” because that’s immediately useful and easy to judge. If you can also show how it compares against what they can see in Shopify’s reports (and optionally a “custom report” style export like Mipler reports provides), you’ll reduce skepticism fast.