What Is Lookalike Audience?
An ad audience built by finding people who share characteristics with your best customers.
A lookalike audience is an advertising audience created by a platform (Meta, LinkedIn, Google) that finds users who share behavioral and demographic characteristics with a seed audience you provide. You upload a list of your best customers, and the platform finds similar people who are likely to be interested in your product.
The seed audience quality determines the lookalike quality. A seed of closed-won customers produces better lookalikes than a seed of all website visitors. The more specific and high-value the seed, the more precisely the platform can identify similar prospects.
In demand gen, lookalike audiences bridge the gap between broad targeting (too many unqualified impressions) and narrow targeting (not enough reach). If your ICP is 'VP of Marketing at mid-market SaaS companies,' a lookalike audience based on your existing customers in that profile finds more people matching that profile than manual targeting criteria could reach.
Lookalike audiences work best on Meta and Google, where the platforms have massive user data to draw from. LinkedIn offers a similar feature called Predictive Audiences. The effectiveness varies: test lookalike audiences against your standard targeting to determine if they actually improve results for your specific ICP and product.
Frequently Asked Questions
How big should a lookalike seed audience be?
Most platforms recommend a minimum of 100 contacts, with 1,000-5,000 being ideal. The seed should be your best customers or highest-quality leads, not your entire database. Quality of the seed matters more than size.
Do lookalike audiences work for B2B?
Results are mixed. Lookalikes work well on Meta for reaching professionals who match your customer profile. On LinkedIn, where targeting is already precise by title and company, lookalikes add less incremental value. Test and measure for your specific case.