Lookalike audiences are algorithmically generated groups that mirror the behaviors and traits of an advertiser’s existing high-performing customers. Platforms like Meta and LinkedIn use machine learning to identify new users similar to your seed audience. This strategy helps scale campaigns efficiently while maintaining targeting precision. It’s especially valuable for prospecting and growing customer acquisition pipelines in both B2C and B2B markets.
Frequently Asked Questions
What data creates the best lookalike audience in B2B?
Use high-quality lead lists or customer segments with clear conversion histories.
Are lookalikes effective for long sales cycles?
Yes, they can accelerate pipeline growth by reaching similar decision-makers earlier.
Which platforms support B2B lookalike audience building?
LinkedIn, Meta, and Google all offer robust lookalike modeling for B2B.
How often should you refresh lookalike audiences?
Every quarter or after major campaign cycles to maintain relevance.
