Prove which win-back campaigns create revenue · Winback Lift
Winback Lift

For lifecycle marketers and founders of Klaviyo brands with replenishable products

Find the lapsed customers worth winning back, and prove the lift with a holdout.

Winback Lift learns how long your customers take to reorder each product, finds who is overdue, and runs your win-back campaign against a random holdout. You see the incremental orders, revenue and gross margin per customer — not the revenue an attribution report would credit to the campaign anyway.

Request early accessComing to the Shopify App Store · free plan · paid plans from 29 USD / 30 days with a 14-day trial

Winback Lift test page in the Shopify admin: purchase rate, revenue and gross margin per eligible customer for the treatment and holdout groups, incremental vs attributed revenue, and confidence warnings
A holdout test in the app. Demo data on a development store.

The problem: attributed win-back revenue includes customers who would have come back anyway

Take a coffee brand whose buyers reorder about once a month. A win-back flow emails everyone who has not ordered for 45 days. Some of them order again, and the email tool credits those orders to the flow. But part of them would have reordered without the email: they were just late. Attribution cannot tell the two apart, so the flow can look profitable while it adds little — or it can hide a flow that really works.

The way to know is a holdout: keep a random part of the same customers out of the campaign and compare. Doing that by hand means exporting customers, splitting them at random, keeping the split frozen, excluding the holdout everywhere else and computing the difference with its uncertainty. Winback Lift does those steps for you.

The coffee brand above is an illustration, not a customer.

What we found when we researched it

How it works

  1. Import your order history. The app reads orders, products, unit costs and email consent; it changes nothing in your store.
  2. See each product's reorder window and who is due, overdue or long lapsed, with a transparent score and the reasons.
  3. Freeze a test cohort. The app re-checks consent, splits customers at random into treatment and holdout, and tells you how many customers and days a reliable answer needs.
  4. Send the groups to Klaviyo lists or Shopify Flow (or download them), run your win-back campaign on the treatment, and keep the holdout out of other campaigns.
  5. Read the lift: incremental purchase rate, revenue and gross margin per customer with confidence intervals, contamination checks, and a clear verdict only when the test is long and large enough.
Reorder windows: for each product the buyers, the share who bought it again and the median days between its orders
Reorder windows per product. Demo data on a development store.
Overdue customers with their score and the reasons behind it
Overdue customers and why they score high or low. Demo data on a development store.
New holdout test: cohort settings, eligible customers, historical return baseline, needed sample size and recommended length
A new test with its sample-size advice. Demo data on a development store.

Honest limits

Pricing

Free1 running test, cohorts up to 500 customers
Growth — 29 USD / 30 days5 running tests, cohorts up to 5,000 customers, 14-day free trial
Scale — 79 USD / 30 daysUnlimited running tests, cohorts up to 50,000 customers, 14-day free trial

Billed through Shopify. No fee on your revenue.

Request early access Questions: help@elektraset.com · Setup guide