Understanding lookalike audiences

Seed quality matters more than size. Value‑based seeds (high spend, repeat buyers) produce stronger lookalikes than broad seeds. Start narrow with high‑signal seeds and expand sizes (e.g., 1% to 5%) as performance holds. Exclude current customers if acquisition is the goal to avoid cannibalization.

Why lookalike audiences matter

Lookalike audiences matter because they expand reach to net‑new users who share traits with your best customers. With strong seeds, lookalikes can outperform generic interests and reduce the cost of testing broad audiences.

• Scale: Reach new people who resemble top customers.
• Efficiency: Better matches than generic interest targeting.
• Learning: Reveals which seed definitions drive performance.

How lookalike audiences work

Upload or define a seed (customers, purchasers, high-AOV buyers). Choose a similarity/size tradeoff (e.g., 1% vs. 5%). Pair with product sets and clear creative.

In practice, build multiple seeds—high LTV, frequent purchasers, category buyers—and test them separately. Begin with 1% for quality, then widen to 2–5% once you see stability. Align creative and product sets with the seed’s characteristics (e.g., premium template for high‑value buyers).

Maintain exclusions (current customers, recent purchasers) for acquisition campaigns. Rotate seeds as cohorts age to keep freshness and performance.

Key Takeaways

• Lookalike audiences find new users similar to your best customers based on platform modeling.
• Build lookalikes from high-value seed audiences (purchasers, high-LTV customers) for best results.
• Test lookalike percentages (1%, 5%, 10%) to balance precision and scale.
• Refresh seed audiences regularly to keep lookalikes current and relevant.