How it works
You give the platform a source audience, like a customer list, people who bought through your pixel or your best leads. The platform studies what they have in common and builds a new audience of people who look similar but haven't engaged with you yet.
Size and similarity
On Meta, you choose how close the match should be, usually from 1% to 10% of people in a country. A 1% lookalike is the closest match but smallest. Larger percentages reach more people with a looser fit.
Where they fit today
Meta's newer Advantage+ audience tools often find buyers without a manual lookalike, and Google retired its similar-audience feature in 2023. Lookalikes still help when you have a strong source list, especially for new accounts or narrow offers.
Why Lookalike Audience matters
Finding new customers is the hardest part of paid social. A lookalike built from your best buyers gives the platform a strong starting point, which can lower your cost per lead compared with broad guesses about interests.
Starting from the right customers
A home services company built a lookalike from everyone who ever filled out its form, including spam and tire-kickers. Rebuilding it from booked, paying customers only gave the platform a clearer picture, and lead quality improved within a few weeks.
Common mistakes
Using a weak source list
A lookalike is only as good as its source. Use real customers or high-value leads, not every visitor or follower.
Tiny source audiences
Very small lists give the platform little to learn from. Larger, high-quality lists usually produce better lookalikes.
Ignoring privacy rules
Customer lists must be collected with proper consent and uploaded through the platform's hashed matching. Follow privacy laws and platform policies.
Where we work on this