Key Takeaways

• Use AI to forecast optimal lookalike percentages for scale

• Automate seed-list refresh from recent converters

• Layer lookalikes with behavior-based filters

• Continuously prune underperforming tiers

Rather than manually adjusting your lookalike size, predictive expansion finds the sweet spot between precision and scale—automating the process.

1. Forecast Your Expansion Point
   In QuickAds.ai’s Predictive Pacing, analyze past performance to recommend whether to scale from 1% to 3%, 5%, or higher lookalike audiences.

2. Automate Seed Refresh
   Schedule monthly updates of your top converters (last 30 days) into Audience Insights so lookalikes evolve with current customer profiles.

3. Combine with Behavioral Layers
   Refine your lookalike by adding filters—video viewers, cart abandoners—via QuickAds.ai’s Dynamic Creative, ensuring prospects both look and act like your best customers.

4. Prune and Reallocate
   Set rules in Workflow Builder to pause lookalike tiers whose CPA exceeds target—redistributing budgets to the next optimal tier automatically.

Predictive lookalike expansion turns scaling into a data-driven, hands-off process—unlocking new audiences without sacrificing ROI.