With the same data integration and just a few predictive queries, deeply understand each of your customers and ensure you do what it takes to prevent churn, encourage higher levels of spending over time, and find new business opportunities.
Find out more: Predicting Churn and Retention with Kumo
Kumo makes it easy to define the ML task using a simple, declarative language, and then uses AutoML to execute a highly optimized and fully tuned model. Build the query and predict the future!
Structure your problem using a simple query to predict the retention of users.
Predict 90-day churn across 3-month active users:
PREDICT Count(Sessions.ID, 0, 90) = 0 FOR EACH Users.ID WHERE COUNT(Sessions.ID, -90, 0) > 0 FOR EACH Users.ID
Predict 90-day churn across 3-month active users, assuming they get a coupon this week:
PREDICT Count(Sessions.ID, 0, 90) = 0FOR EACH Users.ID WHERE COUNT(Sessions.ID, -90, 0) > 0ASSUMING COUNT(Coupons, 0, 7) > 0
Predict 2-day notification open rate:
PREDICT EXIST(NotificationOpen, 0, 2) ASSUMING EXIST(NotificationSent, 0, 1) FOR EACH Notifications.ID
Unleash the predictive power of your enterprise data