How Facebook Ads Use Lookalike Expansion for New Customer Acquisition

In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into Lookalike Expansion, a targeting feature that Facebook rolled out in late 2025 to help advertisers break out of overly narrow audiences. Lucas explains how the tool works: it starts from a seed audience, like past purchasers, but progressively loosens the match criteria to reach people who share behavioral patterns without matching every signal. They walk through a concrete example: a DTC skincare brand that used Lookalike Expansion to reduce cost per acquisition by 22% while increasing reach by 3x, after their standard 1% lookalike had saturated. Luna pushes back on the risk of diluting relevance, and Lucas shares how to set frequency caps and use exclusion lists to maintain quality. They also discuss why this matters more after Apple's App Tracking Transparency — because Lookalike Expansion relies on Meta's modeled signals, not IDFA-level data. Tune in for a practical, numbers-driven look at how to balance scale and precision in 2026. #FacebookAds #MetaMarketing #LookalikeExpansion #AudienceTargeting #SocialAdCampaigns #DigitalAdvertising #AdTargeting #MarketingPodcast #BusinessPodcast #FexingoBusiness #PaidSocial #D2C #CostPerAcquisition #AudienceSaturation #ATT #SignalLoss #AdReach #ConversionOptimization Keep every episode free: buymeacoffee.com/fexingo