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The Battle for ATTENTION: Will AI Save The Advertising Industry in a Privacy-Driven Economy?

AI in Advertising: Insights from SCUBA Analytics’ New Chief Product Officer

By SCUBA Insights

Today, the advertising industry faces three major challenges: increasing complexity, privacy concerns, and the fragmentation of consumer attention in the digital world. 

 

Yet with the rise of effective integration of real-time insights, Privacy-Enhancing Technologies (PETs), and of course, Artificial Intelligence (AI)—the trend is shifting. 

 

Marketers, ad agencies, and ad sellers need to plan strategically to succeed in this changing environment. But how?

 

That’s exactly what Marc Ryan, SCUBA Analytics' new Chief Product Officer, is going to cover in the upcoming hot-button white paper. But first, who is Marc Ryan and why should you listen to what he has to say on this issue?

Meet Marc Ryan: SCUBA's new CPO

Marc has spent the last two decades of his career helping brands, agencies, and media companies identify what works best in emerging digital platforms. 

 

As a pioneer in the digital analytics space, he has extensive hands-on experience starting with the origins of internet advertising and continuing across Web 1.0, 2.0, and 3.0.

 

He’s a true innovator with a longstanding track record of applying data and AI to deliver value for customers and the like. His expertise in navigating the complexities of the MarTech and AdTech Stack, and his foresight on the upcoming challenges of 3rd party cookie depreciation, positions him as a key player within the fast-paced advertising world.

 

Needless to say, we’re thrilled to have him join our team.  

Will AI Save Advertising in a Privacy-Driven Economy?

The role of AI in advertising cannot be overstated. In the soon-to-be-released paper, “The Battle for Attention: Will AI Save The Advertising Industry in a Privacy-Driven Economy?” Marc discusses the evolution of the advertising industry, starting from the early days of online advertising and ending where we currently are in the present. 

 

During the journey through the years, Marc emphasizes the impact of technological advancements and privacy concerns. He explores the complexities introduced by AdTech ecosystems, the shift in consumer attitudes toward privacy, and the difficult challenges posed by attention fragmentation in the digital landscape.

Here’s a quick preview of what you’ll find inside:

 

  • The historical evolution of online advertising and key technological milestones
  • The impact of privacy concerns on advertising, including the DoubleClick case and the rise of data-driven technologies
  • The role of AI and PETs in addressing complexity, privacy, and attention fragmentation in digital marketing
  • Current trends in content consumption, with a focus on platforms like YouTube and TikTok and the shift toward shorter formats
  • Strategies for adapting to the changing landscape, including real-time data interpretation, PETs for audience understanding, and leveraging AI in advertising for a targeted approach

 

So—as we discussed in the intro—what exactly will it take for marketers, ad agencies, and ad sellers to succeed in this complex and rapidly changing environment? 

 

▶️ Follow us on LinkedIn to stay in the know and get your copy of the highly anticipated white paper outlined above, coming this month.

Final Thoughts

The future is bright for SCUBA Analytics with Marc stepping into the CPO role. To take his actionable insights and turn them into tangible results for your organization, you need a real-time data collaboration platform to provide you with in-the-moment decision intelligence.

 

And we’ve got you covered. You can try SCUBALITE for free today. But this isn’t like any of the other free trials or demos you’ve come across. With SCUBALITE, you get:

 

  • Up to 10M daily events
  • Up to 5 users
  • 3 data sources
  • Slack support

 

It’s quick and straightforward, plus you even get a complimentary 1:1 onboarding session with a member of our team. Don’t wait—sign up for SCUBALITE today and start your ML-powered decision intelligence journey off with a bang. 

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