Likelihood prediction is an ML-based prediction generated based on your selected goal and custom training dataset. The model makes a prediction (low, medium, high) if user will perform a selected goal (e.g. "Likelihood to purchase") within a specified timeframe (e.g. next 7 days).

Use cases

• Churn Prediction. Predict which users are likely to churn and implement strategies to retain them.
• Upsell prediction. Identify users most likely to upgrade their plans and target those that will likely stay on their existing plans unless interrupted.
• Purchase probability. Predict the likelihood of a user making a purchase based on their browsing behavior.
• User retention prediction. Identify users at risk of disengaging and target them with retention strategies.

Where to start

• Creating a likelihood prediction model
• How the model works
• Managing the prediction model