Key Takeaways
-
Seed from your best customers for precision targeting
-
Layer interests to refine lookalike pools
-
Test multiple similarity percentages
-
Continuously refresh seed lists for relevancy
When you run ads at random, you burn budget—lookalikes let you borrow your top buyers’ profiles and find more just like them.
-
Choose Your Highest-Value Seed
Don’t default to “all purchasers.” Pick the segment driving the most lifetime value—repeat buyers, VIP subscribers, or high-ticket customers. Upload that list into QuickAds to generate a tightly matched lookalike. -
Layer in Behavioral Signals
One lookalike isn’t enough. Add interest or behavior filters—“video watchers,” “cart abandoners,” or “site searchers.” This hybrid audience hones in on active prospects and cuts out cold clicks. Use QuickAds.ai’s dynamic audience tool to combine lookalikes with your hottest micro-segments automatically. -
Test 1%, 3%, and 5% Pools
A 1% lookalike is super-precise but small; 5% is broader but looser. Run parallel campaigns at each level for 72 hours and compare CPAs, CTRs, and conversion rates. Automate the analysis in QuickAds.ai’s dashboard to identify your sweet spot and scale accordingly. -
Refresh Your Seed Data Monthly
Customer profiles evolve—seasonal buyers today might be dormant tomorrow. Rotate in fresh seed lists (e.g., last 30-day purchasers) to keep lookalikes aligned with current buying patterns. QuickAds.ai lets you schedule seed-list updates so your audiences never go stale. -
Scale with Incremental Budgets
Once you’ve nailed the best lookalike pool, double its budget in 2× increments—monitoring CPA closely. Use QuickAds.ai’s auto-rebalance feature to shift spend away from any pool that drifts above your target, ensuring growth without runaway costs.