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How to Use Predictions

Making the most of your predictions.



Baseline: Historical performance of the campaign. Used to compare the performance of the predictions. It could include conversion rate, average donation size, lifetime giving, days until conversion, etc.   

A/B Test: Two samples of the predictions are compared using identical campaigns to determine if the model is valid.

Sample Size: A group of predictions selected from all the predictions and considered representative of the real predictions for that campaign. It is important to use a large enough sample size based on the expected response rate of the campaign. Learn more about sample sizes here.


Use those predictions, heck, why don't you learn How to Export Predictions? If you run into any trouble, don't hesitate to contact us at success@boodle.ai.