Our client, a leading startup in vehicle rental services, observed that its customers, after they get enrolled, either continue transacting on the platform or they stop using the platform. The client was looking for a way to save its customers before they leave, and wanted to accelerate their transaction behavior.
Wissen’s Machine Learning expertise and experience was used to create an elegant solution for this problem. The solution uses Machine Learning algorithms to come up with a score of Churn Risk and Intent to Buy over the next 30 days. The former is used to save customers and the latter is used to increase revenue. The data universe for the models consists of user interactions, frequency, transaction history, logs, online feedback etc.