Single profile
Purchases, average ticket, channels, stores and balance, on one screen.
RFM up to date
Recency, frequency and value recalculated after every purchase.
Audiences
Conditions by demographics, purchase and behavior, or described in plain language.
How it works
1
The sale comes in
Every order arrives identified from the register or the digital checkout.
2
The profile builds
The purchase joins the history and updates recency, frequency and value.
3
Prediction runs
Repurchase interval per person, estimated churn date and next purchase.
4
The audience forms
The audience is built and handed to the incentive engine.
360° profileDynamic segmentationChurn predictionTags and tiersExportable via API
Audiences
Describe the audience and the AI builds it
Conditions by demographics, purchase and behavior. Or write it in plain language and the builder turns it into filters, with no list exports and no technical help.
- Age, gender, birthday and location
- Spend, frequency and days since last purchase
- Ready for the incentive engine
