RetainIQ predicts merchant churn in advance, so you can intervene before revenue walks out the door.
The Problem
Fintech platforms invest heavily to onboard merchants. But when merchants begin to disengage, platforms only find out after the damage is done, losing both revenue and the cost of acquisition. By then, it's too late to act.
Merchants slow down gradually. There's no alert, no signal until they're gone.
Blanket campaigns reach already-churned merchants. Spend is wasted on the wrong segment.
Losing an active merchant means losing both their GMV and your onboarding investment.
How It Works
01
Frequency, recency, and value signals from your merchant network. Four features, maximum signal.
02
ML model assigns risk buckets - Low, Medium, or High per merchant. Scored in real time.
03
Recommended retention actions delivered via API, before churn happens. Every time.
Sample API Response
A single POST request returns a probability score, risk tier, and recommended action. Your team handles the rest.
RetainIQ is not trained on generic datasets. The model fine-tunes on your merchant network's transaction history. Share a CSV export, and the retraining begins.
Low, Medium, High buckets let your ops team act without needing to interpret raw probabilities.
Adjust retention aggressiveness by tuning thresholds, not by retraining the model.
Built on FastAPI. Stateless by design. Deploy once, call from anywhere.
Built for fintech
RetainIQ turns transaction data into retention decisions. Deployed in days, not months. Let's talk about what it can do for your platform.