After your lookalike model has finished training, you can use the resulting curve to create specific cohorts for targeting.
Understanding the Curve
The Precision vs. Reach curve represents the trade-off between how closely users match your seed (Precision) and the total number of users you can target (Reach).
- High Precision (e.g., 90%): Users match the seed behavior very closely, but the audience size will be smaller.
- Low Precision (e.g., 10%): A much larger audience, but with a weaker behavioral match to the seed.
You can create multiple cohorts from the same model at different similarity levels to test performance across different audience sizes.
Important Notes
- 100% Similarity: Choosing 100% similarity will result in an audience identical to your seed segment with no lookalike expansion.
- Real-time Scoring: Once created, users are scored against your lookalike cohorts in real-time as they browse your site.
