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Defining an adaptive model

Suggest edit Updated on March 11, 2021

Predict customer behavior and adjust your marketing strategy by configuring an adaptive model.

  • Creating an adaptive model

    Create an adaptive model to predict customer behavior. Refer to your Adaptive Model rule in a strategy to use the propensity that the model returns. When you run the strategy, adaptive models are created automatically for each unique combination of model identifiers in the Adaptive Model rule instance.

  • Adding adaptive model predictors

    Create predictors which are input fields for the adaptive models. When creating an adaptive model, select a wide range of fields that can potentially act as predictors.

  • Defining outcome values in an adaptive model

    Define the possible outcome values in an adaptive model to associate them with positive or negative behavior. The values defined for positive and negative outcome should coincide with the outcome definition as configured in the data flow that runs the strategy with the adaptive models that are configured by the Adaptive Model rule.

  • Configuring advanced settings for adaptive models

    Configure the update frequency and specify other settings that control how an adaptive model operates.

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