Quick Definition
Lookalike audiences (also called similar audiences) are modeled audiences created by advertising platforms (Facebook/Meta, LinkedIn, Google, etc.) to find users with characteristics similar to a source audience or customer group. Advertisers provide a source audience (website visitors, email lists, customer lists, etc.), and the platform uses machine learning to identify users with similar characteristics (demographics, interests, behaviors) and creates a lookalike audience. Lookalike audiences enable advertisers to reach new users similar to their best customers or engaged users. Lookalike audiences are particularly effective for B2B companies looking to reach new professional audiences similar to their existing customers or engaged users.
How It Works
Lookalike audiences work through machine learning modeling: advertisers provide a source audience (website visitors, email lists, customer lists, etc.), and the platform analyzes the characteristics of users in that audience (demographics, interests, behaviors). The platform then uses machine learning to identify users outside the source audience with similar characteristics and creates a lookalike audience. Advertisers can specify the size of the lookalike audience (typically 1-10% of the population in a geographic area). Smaller lookalikes (1%) are more similar to the source; larger lookalikes (10%) are broader but less similar.
Frequently Asked Questions
How do lookalike audiences work?
Lookalike audiences work by: providing a source audience (website visitors, email lists, customers), the platform analyzes characteristics of users in that audience, and uses machine learning to identify users with similar characteristics. You can specify the size (1-10%): smaller is more similar, larger is broader.
What makes a good source audience for lookalikes?
Good source audiences are: high-quality (high-value customers, engaged users), large enough (at least 100 users), and representative of your target audience. For B2B, use high-value customers, engaged website visitors, or email subscribers as source audiences.
How do privacy changes affect lookalike audiences?
Privacy changes impact lookalike audiences by limiting data availability. Platforms have adapted by adjusting lookalike creation. Lookalikes are less effective when source audiences are small or when privacy restrictions limit data. Ensure compliance with privacy regulations for source audience data.