Content marketing remains unmeasurable and "mushy" for most CMOs. Joe Perello, CEO of Props and former NYC CMO, shares how to transform creator marketing into a performance channel with measurable outcomes. He reveals techniques for achieving 55-65% open rates across client programs and explains why authentically integrated brand content consistently outperforms traditional advertising when paired with precise targeting and clear calls to action.

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Creator marketing needs a performance-driven approach. Joseph Perello, CEO of Props, shares how his company transforms owned media into a measurable marketing channel that delivers predictable outcomes. He explains the strategic balance between video and image content for different marketing objectives, why traditional vanity metrics fall short, and how to blend creator authenticity with paid media precision to drive actionable results.

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

Traditional ads are failing while marketing budgets shrink. Joe Perello, CEO of Props, explains how to transform creator marketing into a measurable performance channel by hosting authentic content on your own website. His approach blends creator storytelling with paid social distribution, creating efficient retargeting pools that drive conversions while simultaneously improving performance across all marketing channels. The strategy positions brand content as a direct response mechanism, leveraging the brand halo effect to systematically lower customer acquisition costs over time.

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

First-party data strategies can backfire without privacy considerations. Graham Mudd, SVP of Product at Anonym (Mozilla), shares his expertise at the intersection of analytics and privacy-preserving advertising technology. He explains the middle ground between oversharing customer data and being too conservative with valuable first-party information, while exploring how synthetic data and AI-driven approaches can maximize targeting effectiveness without compromising user privacy.

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

Privacy-friendly targeting is becoming essential for marketers. Graham Mudd, SVP of Product at Anonym (Mozilla), shares his journey from Meta VP to founding a privacy-focused adtech startup. He explains how technologies developed in highly regulated industries like healthcare and financial services can be adapted for digital advertising, enabling high-performing campaigns while preserving user privacy and complying with increasing global regulations.

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

Privacy-friendly targeting remains elusive despite new technologies. Graham Mudd, SVP of Product at Anonym (Mozilla), brings expertise from leadership roles at Meta, Comscore, and Yahoo to address this challenge. He explains why clean rooms aren't inherently private without proper methodologies, clarifies the FTC's position on confidential computing practices, and demonstrates how privacy-preserving technologies can actually improve targeting results rather than simply adding complexity.

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

Privacy-friendly targeting is reshaping digital advertising. Graham Mudd, SVP of Product at Anonym (Mozilla), shares his expertise in developing technologies that preserve privacy while delivering performance. He explains how behavioral targeting can outperform contextual approaches when implemented with privacy-preserving methods, and why first-party data remains a valuable behavioral goldmine without compromising user privacy.

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

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.

AI expertise has evolved dramatically since ChatGPT's launch. Joyce Gordon, Head of AI at Amperity, shares how her role transformed from backend machine learning specialist to cross-functional product strategist shaping AI-first experiences. She discusses techniques for reimagining entire platforms with AI capabilities, designing interfaces for less technical users, and leveraging unified customer data to power personalized marketing experiences.

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

Customer data fragmentation creates personalization challenges. Joyce Gordon, Head of AI at Amperity, explains how identity resolution agents unify disparate customer data across online and offline touchpoints. The technology reconciles multiple identifiers to create cohesive customer profiles, enabling brands to deliver personalized experiences based on comprehensive customer history and preferences regardless of interaction channel.

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