A lookalike audience is a targeting audience the platform builds from users who behave like your existing customer list. The quality of the source list decides the result: an audience built from buyers works noticeably better than one built from site visitors. The larger the percentage setting, the wider the audience and the weaker the resemblance.
A verified core of a few hundred people is usually enough as a source list; but narrowing the list to your most valuable customers improves the lookalike's accuracy. A 1 percent audience gives the closest match, while 5 percent and above brings volume at the cost of diluted performance. In markets with a limited user pool such as Turkey, narrow lookalikes saturate quickly; testing broad targeting alongside the lookalike is what shows which one is actually winning.
A verified core of a few hundred people is usually enough as a source list; but narrowing the list to your most valuable customers improves the lookalike's accuracy. A 1 percent audience gives the closest match, while 5 percent and above brings volume at the cost of diluted performance. In markets with a limited user pool such as Turkey, narrow lookalikes saturate quickly; testing broad targeting alongside the lookalike is what shows which one is actually winning.
A verified core of a few hundred people is usually enough as a source list; but narrowing the list to your most valuable customers improves the lookalike's accuracy. A 1 percent audience gives the closest match, while 5 percent and above brings volume at the cost of diluted performance. In markets with a limited user p…
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