Glossary

What is Lookalike Audience ?

A lookalike audience is a targeting tool that finds new users who share similar characteristics with your existing high-value users, enabling scaled prospecting.

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Overview

Lookalike Audience: Definition & Meaning | Segwise Glossary

A concise mobile marketing definition for teams working across creative analytics, paid acquisition, and performance reporting.

Unified data

Bring creative, spend, and outcome metrics into one source of truth.

AI tagging

Structure creative elements so patterns can be compared across campaigns.

Faster iteration

Turn findings into next tests, briefs, reports, and generated variants.

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Lookalike Audience : Full Definition
Why Lookalike Audience matters
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See which creative elements drive your best ROAS

Overview

A lookalike audience is a targeting tool that finds new users who share similar characteristics with your existing high-value users, enabling scaled prospecting.

Lookalike Audience : Full Definition A lookalike audience is created by feeding a seed audience, typically your best existing users, highest-LTV customers, or completed-purchase customers, into a platform's audience modeling algorithm.

The algorithm analyzes the characteristics of the seed audience and finds new users across its database who share similar behavioral and demographic profiles.

Meta's Lookalike Audiences are the most widely used: you provide a Custom Audience seed (e.g., top 1,000 payers from your MMP) and Meta builds a scaled audience of millions of similar users across Facebook and Instagram.

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Creative intelligence for every team

Unify creative data across platforms

Bring creative, spend, attribution, cohort, and revenue data from your ad networks, MMPs, and internal sources into one view.

Tag every creative element automatically

Multimodal AI tags hooks, CTAs, products, emotions, dialogs, characters, formats, and visual styles without manual taxonomy work.

Connect tags to ROAS and LTV

Move past vanity metrics by seeing which elements are associated with revenue, retention, CPA, and downstream quality.