Propensity Modeling

Propensity modeling predicts the likelihood that a customer will take a specific action — purchase a product, upgrade their plan, renew their subscription, respond to a campaign, or churn. Unlike demographic-based targeting, propensity models analyze behavioral signals to produce a probability score for each individual customer.

Companies use propensity models across the entire customer lifecycle: propensity to buy for acquisition targeting, propensity to upgrade for expansion campaigns, propensity to churn for retention triggers, and propensity to respond for campaign optimization. Each traditionally requires its own model.

EkamFlow handles all propensity models within a single private model. One API call returns propensity scores for every action you define — buy, upgrade, renew, respond, churn — trained on your specific customer data and behavioral signals. No separate models to build or maintain.