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  • Predict ML
  • Getting Started
  • About Predict
  • Using Predict
  • Best practices
  • Prerequisites
  • Terminology
  • Define a strategy
  • Decide what to predict
  • Attribute readiness
  • Prepare your data
  • Start training
  • Create training models
  • Add a model
  • Review your model
  • Evaluate and retrain models
  • Evaluate trained models
  • Strength scores
  • The Confusion Matrix
  • The ROC/AUC curve
  • Probability distribution
  • View model status
  • Retrain a model
  • Deploy models
  • Deploy a model
  • Undeploy a model
  • Deployed model health
  • Model retraining recommendations
  • Delete a model
  • Create audiences
  • Audience considerations
  • Create audiences with Predict
  • Advanced topics
  • Machine learning vs. artificial intelligence
  • Machine learning concepts and technology
  • Home
  • Predict ML
  • Getting Started
    • About Predict
    • Using Predict
    • Best practices
    • Prerequisites
    • Terminology
  • Define a strategy
    • Decide what to predict
    • Attribute readiness
    • Prepare your data
    • Start training
  • Create training models
    • Add a model
    • Review your model
  • Evaluate and retrain models
    • Evaluate trained models
    • Strength scores
    • The Confusion Matrix
    • The ROC/AUC curve
    • Probability distribution
    • View model status
    • Retrain a model
  • Deploy models
    • Deploy a model
    • Undeploy a model
    • Deployed model health
    • Model retraining recommendations
    • Delete a model
  • Create audiences
    • Audience considerations
    • Create audiences with Predict
  • Advanced topics
    • Machine learning vs. artificial intelligence
    • Machine learning concepts and technology
  • Home > 
  • Predict ML

Create audiences

Audience considerations

This article serves as a guideline of items to consider when creating audiences using results from Tealium Predict.

Create audiences with Predict

This article describes how to use your predictions to create one or more audiences.

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