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A lookalike audience is a group of people who share similar characteristics with an existing audience or customer base. Advertising platforms analyse data from a known audience and identify new users who behave in similar ways.
This allows businesses to reach potential customers who are likely to be interested in their products or services.
Finding new customers can be challenging, especially when targeting broad audiences. Lookalike audiences help advertisers expand their reach while maintaining relevance.
Lookalike audiences help businesses:
Lookalike audiences are created using a source audience. This source might include existing customers, website visitors, or people who have interacted with previous campaigns.
The advertising platform analyses patterns such as behaviour, interests, and demographics. It then identifies new users who share similar traits.
These users form the lookalike audience that advertisers can target in campaigns.
Lookalike audiences are commonly used in paid social advertising platforms such as Meta, LinkedIn, and other digital advertising systems.
Advertisers often begin with a high-quality source audience, such as customers who have made purchases or leads who completed a form.
Using this data helps the platform find new audiences who are more likely to respond to the advert.
Lookalike audiences are often combined with other targeting options such as location, interests, or behaviours. This helps advertisers refine their campaigns and control how broadly their ads are shown.
Testing different audience sizes can also help marketers balance reach and relevance.
