With 3rd-party cookies disappearing, the digital ad industry is at a turning point. But while cookies crumble, AI is stepping in to fill the gap, offering smarter, privacy-friendly ways to target audiences. In this episode, we unpack:

• What’s next after cookies and why advertisers must rethink their targeting strategies
• How AI is transforming ad personalization without relying on 3rd-party data
• Privacy-first alternatives like contextual targeting, universal IDs, and AI-powered segmentation

We’re joined by industry experts to break it all down:

• David Wells (Industry Principal, Snowflake) – AI’s role in identity resolution and predictive targeting
• Randy Newman (CEO, Colour) – AI-powered micro-targeting and contextual advertising
• Denis Laboda (Senior Director, Data, StackAdapt) – Cookieless targeting and AI-driven audience segmentation

AI isn’t just replacing cookies—it’s reinventing digital advertising for the privacy-first era.

In this episode, we explore how generative AI is revolutionizing ad creation, from automating copy and visuals to reshaping the role of human creatives. We hear from industry leaders how AI is enhancing, not replacing, creative storytelling. Our guests include two members of StackAdpat’s Creative Studio, Te’Shawn Dwyer and James Targett, and Randy Newman, the CEO of Colour, a digital media agency in North America.

• The power (and limits) of AI in ad design
• How brands are using AI to scale content production
• Why human creativity still matters in an AI-driven world

Tune in to explore how AI is redefining advertising—and what it means for the future of creative work.

Coming soon! The first episode will launch on March 26, 2025. The AI Advertising Podcast pulls back the curtain on the world of AI-driven advertising. This isn’t your typical talking-heads podcast—each episode is a storytelling journey packed with real-life anecdotes, expert commentary, and insider insights that uncover how AI is transforming digital marketing.

The AI Advertising Podcast is hosted by Diego Pineda and produced by StackAdapt. Visit us at www.stackadapt.com for more information about AI-powered advertising.

Consumers expect personalized ad experiences, but they also demand stronger privacy protections. So how can advertisers deliver relevant ads while staying compliant with evolving privacy laws?

In this episode, we explore how AI-driven personalization is reshaping advertising—and the challenges of balancing relevance with ethical data use.

Our expert guests break it all down:

• Ned Dimitrov (VP of Data Science, StackAdapt) – On AI-powered contextual personalization and the cookieless future
• Yang Han (CTO, StackAdapt) – On navigating privacy regulations in different verticals and jurisdictions
• Carole Lawson (Chief Data Officer, MarketStorm) – On ethical data collection and how brands can ensure consumer trust

AI is transforming how ads are tailored to audiences—but where should advertisers draw the line between personalization and privacy?

AI is no longer just a new tool in the marketer’s tech stack—it’s transforming the way we use the stack itself. From campaign planning to performance insights to creative production, generative AI is changing how marketers interact with martech and adtech platforms every day.

In this episode, we speak with:

• Scott Brinker (VP, Platform Ecosystem at HubSpot)
• Winston Zhu (Director of Platform Engineering at StackAdapt)

Together, they explore how AI is evolving the roles of marketers, reimagining user interfaces, and shaping the future of campaign execution.

The marketing tech stack is shifting from fragmented tools and isolated data to unified platforms that support a full-funnel view of the customer journey. AI is the catalyst, but convergence is the destination. In this episode, we are joined by three StackAdapt leaders to explore how martech and adtech are coming together—and what that means for strategy, execution, and team culture:

• Vitaly Pecherskiy, CEO and co-founder of StackAdapt
• Ryan Nelsen, CMO at StackAdapt
• Winston Zhu, Director of Platform Engineering at StackAdapt

They discuss the realities of implementing AI, activating first-party data across channels, and how marketing teams can evolve to thrive in a converged ecosystem.

What if you could predict exactly when and where your next customer will convert? AI-powered predictive analytics is making that possible, helping advertisers shift from educated guesses to data-driven certainty. In this episode, we explore how AI is revolutionizing audience targeting, media buying, and budget optimization. Our expert guests break it all down:

• Carole Lawson (Chief Data Officer, MarketStorm) – How AI-powered segmentation is reshaping audience targeting
• Yang Han (CTO, StackAdapt) – How AI models analyze real-time data to predict conversions
• Ned Dimitrov (VP of Data Science, StackAdapt) – How AI evaluates ad auctions in milliseconds to optimize spend

Predictive analytics is transforming advertising—helping brands target smarter, bid better, and optimize campaigns dynamically.

Is AI replacing marketers and creatives, or is it simply a tool to enhance their work? As AI continues to automate tasks in advertising, the question remains: who’s really in control?

In this episode, we explore:

• The real impact of AI on creative work, ad targeting, and decision-making
• What AI can do better than humans—and where it still falls short
• How advertisers and marketers can leverage AI without losing the human touch

Our expert guests weigh in:

Yang Han (CTO, StackAdapt) – How AI is designed to assist, not replace, human decision-making

David Wells (Industry Principal, Snowflake) – AI’s role in automation and predictive analytics

The future of AI in advertising isn’t humans vs. machines—it’s humans and machines working together.

As streaming platforms continue to dominate, connected TV (CTV) is becoming one of the most powerful advertising channels. But how can advertisers ensure better targeting, seamless media buying, and smarter ad placements in this evolving landscape? The answer lies in AI.

In this episode, we explore:

• How AI is transforming CTV targeting and ad buying
• The role of AI in real-time optimization and predictive audience segmentation
• How AI reduces ad fatigue and enhances viewer experience

Our expert guests break it all down:

Greg Joseph (VP, Inventory Development, StackAdapt) – AI’s role in media buying and premium inventory access

Johnny Tan (Senior Director, Inventory, StackAdapt) – How AI optimizes cross-channel ad placements

David Wells (Industry Principal, Snowflake) – AI’s impact on audience segmentation and frequency management

With AI-powered CTV, advertisers can target smarter, reduce wasted spend, and create better ad experiences for viewers.