Solutions
Recognize when a customer’s normal behavior begins to change, then act while the relationship can still be recovered. Leat detects individual signs of churn and automatically chooses the reminder, reward, or recovery journey most likely to bring each customer back.



Leat reads each customer’s purchase frequency, usual visit gaps, preferred products, locations, channels, reward activity, and previous responses to understand their individual pattern.
A churn signal can be a missed expected visit, a falling order frequency, a canceled subscription, an unused reward, a declining basket, or the disappearance of a product the customer regularly bought.
Leat compares the permitted options, including a reminder, points update, product recommendation, service gesture, targeted incentive, human follow-up, or no action. Uplift modeling helps determine whether an offer would change the outcome.
When the customer purchases or visits again, Leat ends or changes the journey immediately. Your customers do not continue to receive increasingly generous offers for a problem that has already been solved.
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