Since iOS 14, advertisers have struggled to match offline purchase data with Facebook users. Enter data clean rooms — secure environments where brands and Meta can combine hashed identifiers without exposing raw data. In this episode, Lucas and Luna explain how a national retailer used a Snowflake clean room to build a custom audience of high-value past purchasers, improving ROAS by 30 percent while maintaining privacy compliance. They walk through the technical setup, the role of hashing and encryption, and why clean rooms are becoming a must-have for sophisticated Facebook advertisers. Plus, they discuss the limitations, including data refresh latency and the need for technical expertise. If your ad strategy depends on first-party data, this episode offers a clear, actionable primer on a complex topic.
#DataCleanRooms #FacebookAds #MetaMarketing #PrivacyCompliance #FirstPartyData #Snowflake #CustomAudiences #iOS14 #AdTargeting #Martech #AudienceMatching #ConversionAPI #MarketingStrategy #DigitalAdvertising #SocialMediaAds #FexingoBusiness #BusinessPodcast #Marketing
Keep every episode free:
buymeacoffee.com/fexingo
