Best practices

Get started

• Define the problem you want to solve and goals to achieve resolution.

Work with your data

• Ensure that your AudienceStream profile has high-quality attributes to signal target behaviors, such as badges or booleans. If none are present, create the attributes as soon as possible to allow more time for data to accumulate.
• Establish best practices regarding collecting and cleaning your data before you begin. For more information on preparing your data before creating a model, see Prepare your data.
• During your data readiness stage, join siloed datasets and consider other characteristics of your organization’s data that can be refined.

Train and deploy models

• Where possible, use longer date ranges for training.
• Deploy your model in a production environment or real-world application.
• Evaluate how well your model is working in production and return to the ’training and testing’ stages as needed for improvements.

Create audiences

• Consider ways to use Tealium Predict to improve or augment existing audiences and make them more efficient.