Mozilla’s Privacy-Friendly Ad Targeting

Privacy-friendly ad targeting is getting harder as cookies disappear. Graham Mudd, SVP of Product at Anonym (Mozilla), shares how privacy-preserving technologies can actually improve targeting results. Marketers can leverage first-party data using advanced machine learning techniques to find lookalike audiences without sharing customer data with ad platforms. This approach delivers approximately 30% better efficiency in finding converters compared to broad targeting, while maintaining compliance with evolving privacy regulations across different markets.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.