What are the prerequisites for predictive metrics?

To train predictive models successfully, Analytics requires that the following:

1. A minimum number of positive and negative examples of purchasers and churned users. In the last 28 days, over a seven-day period, at least 1,000 returning users must have triggered the relevant predictive condition (purchase or churn) and at least 1,000 returning users must not.

2. Model quality must be sustained over a period of time to be eligible.

3. To be eligible for both the purchase probability and predicted revenue metrics, a property has to send the purchase and/or in_app_purchase events. When you collect the purchase event, you need to also collect the value and currency parameters for that event.

Predictive metrics for each eligible model will be generated for each active user once per day.

Note: If the model quality for your property falls below the minimum threshold, then Analytics will stop updating the corresponding predictions and they may become unavailable in Analytics.