Lookalike models use machine learning to find users who behave similarly to a specific publisher “seed” audience. This guide walks you through the process of creating a new model.
Prerequisites
Before you begin, ensure you have:
- A high-quality publisher seed segment (e.g., a custom cohort of email subscribers or converters).
- At least 1,000 unique users per day in your seed segment for optimal accuracy.
- At least 10-20 active custom cohorts in your project to provide enough behavioral signals.
What Happens Next?
Once you click build, Permutive starts the training process.
- Training Time: It typically takes up to 2 hours for a model to finish training.
- Status: The model will show as “Updating” or “In Progress” until it is ready.
- Result: Once complete, you will see a Precision vs. Reach curve, which you can use to create lookalike cohorts.
If your seed segment was created on the same day as the model, the build may fail or show 0 reach until a full day of data has been processed.
