Definition

A lookalike audience is a targeting segment Meta (or other platforms) creates by finding users who share characteristics with your source audience — typically existing customers, website visitors, or email subscribers.

Detailed Explanation

Source audience → Meta analyzes demographics, interests, behaviors → Lookalike of 1%–10% of population in chosen country.

  • 1% lookalike: Most similar, smallest reach, highest quality
  • 10% lookalike: Broader, lower similarity, larger reach

Best sources: purchasers (highest value), email list (1000+ recommended), high-intent page visitors (ViewContent, AddToCart).

Nepal Context

With smaller addressable populations, 1–3% lookalikes in Nepal may exhaust quickly. Consider expanding to India or diaspora markets for lookalike prospecting while keeping Nepal for retargeting. Seed with wallet-confirmed purchasers, not all page visitors.

Practical Examples

  1. 1% lookalike of 500 purchasers → prospecting campaign with broad creative.
  2. Exclude existing customers from lookalike campaign to avoid wasted spend.
  3. Refresh lookalike source quarterly as customer base grows.

How to Check It

  1. In Meta Ads Manager, open Audiences and confirm the source audience is ready and large enough (Meta needs at least 100 people from one country; 1,000 or more works better).
  2. Compare cost per purchase or lead for the lookalike ad set against your broad or interest-based ad sets over the same dates.
  3. Check the source list date; if it is several months old, refresh it with recent customers.

Key Takeaways

  • Quality of source audience determines lookalike quality.
  • Start 1–3% for prospecting; expand if CPA allows.
  • Combine with interest targeting for tighter fit in small markets.

Common Mistakes

  1. Tiny source audience (<100) — unreliable lookalike model.
  2. Including non-buyers in purchase lookalike source — dilutes signal.
  3. Never refreshing — stale lookalikes degrade over time.

Nepal guide