How Lookalike Modeling Helps Advertisers Find Similar Audiences
· 2h ago · Originally reported by PPC Land
Lookalike modeling is a technique that helps advertisers reach new users who share characteristics with their current customers. By using a seed list and a similarity model, platforms can identify and rank potential new audiences.
Why it matters
This matters because lookalike modeling allows advertisers to expand their reach efficiently, targeting users more likely to be interested in their products or services.
Explain it like I’m new here
It's like finding new friends who have a lot in common with your best friend, so you know you'll probably get along.
Terms in this story
Advertiser
An advertiser is the company, organisation or person that pays to place ads in order to sell products, build a brand, recruit, or spread a message.
Lookalike audience
A lookalike audience is a group of new people who statistically resemble an advertiser's existing customers or best users, found by a model to extend reach beyond known contacts.
Audience segment
An audience segment is a group of people or devices defined by shared characteristics, such as demographics, interests, purchase behaviour or intent, used to target or measure advertising.
Reach
Reach is the number (or percentage) of unique people or households who saw an ad at least once during a campaign, as opposed to the total number of impressions.
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