Solutions · 02
Available

Know who will buy again and who is leaving

The probability that each customer buys again within the window you choose (30, 60 or 90 days): invest in retention in time and stop burning margin on discounts for people who were coming back anyway.

The assessment on your data is free, with no commitment.

Already have access? Try it with sample data

Customers to contact today
example
CustomerChance to buy againStatus
  • cli_2084182%
    coming back
  • cli_1120944%
    at risk
  • cli_0031812%
    leaving

Where it fits

Replenishment: food, cosmetics, pets

How long since each customer last bought, and how often they buy, decide who to contact: the coupon goes to those who need it, not to those who’d come back anyway.

Subscriptions and services

Early churn signals so you can call or improve terms before they cancel, not after.

Retail with a CRM

Campaigns segmented by real propensity measured on your history, not by rules of thumb.

Fashion store interior with customers

How it works with your data

  1. Upload orders and customers

    Your purchase history is enough: we link orders and customers, and measure how long since each one last bought, how often they buy and how much they spend.

  2. Tune the window

    A short interview adjusts the repurchase window to your business: 30, 60 or 90 days — whatever your data says.

  3. Daily customer list

    Who’s worth reaching out to today, and why: actionable from day one.

€0

until you’ve seen it on your own history: we blind-test whether the model predicts repurchase better than a simple rule, before you pay.

60 d

typical repurchase window — tuned to your business in the interview

10%

control group left untouched: the value is proven, not estimated

Want to see it on your own data?

We’ll show you, for free, what you could save with your own history. No integrations, no commitment.

Get your free assessment