The MarTech Podcast ™ tells the stories of world-class marketers who use technology to generate growth and achieve business and career success. In each episode, you’ll hear from an innovative marketer as they walk through their career path and discuss the challenges of their current roles. This podcast will unearth the successes and pitfalls of industry experts, as they share their real-world experiences and teach us the tools, tips, and tricks that they’ve learned along the way.
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.
