What Gen AI Means for the Role of a Media Planner

Working with brands like Chime who have sophisticated multi-channel advertising programs, my colleagues have unlocked benefits ranging from enhanced automation to scalable personalization, all while driving cost efficiency. This topic took center stage during a panel discussion at Campaign’s AI Deciphered 2024, featuring Brayden Varr, ACD at Chime; Ashwini Karandikar, EVP of Media, Technology, and Data at The 4A’s; Jesse Waldele, and SVP of Digital Operations and Client Success at Dow Jones; along with myself.

Steve Barrett, our moderator and VP and editorial director at PRWeek & Campaign US, opened the panel discussion with a pivotal question: What do the new AI-powered tools mean for the role of a media planner? Below are some key insights from our session.

Creative and media are becoming closer together.

Historically, creative and media roles operated in silos, each adhering to their own set of responsibilities. This setup is far from ideal, because the intersection of creativity and performance analysis is crucial for brands to succeed. As Karandikar put it, "The creative arm needs to speak the language of performance while still capturing the brand message.” However, reaching a point where team members could put aside their production tasks to collaborate with others was, at the very least, challenging.

Now, with AI managing repetitive tasks and various aspects of content generation, creatives can concentrate on higher-level strategic thinking and innovation. As a result, they can collaborate more effectively with media planners—and vice versa—gaining deeper insights into target demographics and enhancing campaign optimization. Plus, it opens up new possibilities for media planners who may not have the support of creatives on their teams.

Varr, approaching the topic from the creative and design side, highlighted how performance marketers are leveraging AI tools to enhance creativity on limited budgets. “If you work in the performance space, you probably have zero creative production budget,” he said. “But we have to get noticed. With tools like Adobe and Midjourney, we can create content that helps us stand out in these feeds more than ever, and it’s positively impacting our key metrics that we evaluate every day.”

What’s more, in highly regulated markets, brands often face restrictions that prevent them from using demographic data, such as age, gender, or location, to target consumers. Instead, they can rely instead on creative content as a key input. That means exploring various attributes—such as interests, behaviors, or emotional triggers—within the creative itself to connect with consumers. Media buyers are increasingly collaborating with creative teams, brand strategists and media strategists to craft campaigns that resonate with target audiences. 

It’s not just about automation; it’s about intelligence.

As mentioned earlier, automation allows creatives and media planners to focus on high-value tasks rather than routine analytics. But it doesn’t end there. Gen AI excels at processing vast datasets to reveal patterns and trends that human analysts may miss. By generating actionable insights, generative AI helps inform media strategies, allowing planners to optimize their approaches based on real-time data rather than relying solely on historical experiences.

Waldele said, “Where we really see a huge opportunity is not just in media plan automation, but in media plan intelligence. We can create media plans that are performing and infused with that intelligence.” To provide an example, working with enterprise clients with complex media programs, we can automatically tag thousands of potential attributes within our creatives. This used to be a cumbersome task that required building complex taxonomies to capture various elements of an ad. Marketers had to create detailed tags for simple attributes like “red background” or “blue background,” while also specifying the product’s context. This method imposed limits on the number of characters allowed in an ad name and often left teams struggling to log every attribute of the creative that could impact performance.

Now, the automatic tagging capability streamlines the process and enhances the depth of analysis. AI can pick up subtle details that were previously imperceptible to the human eye—such as whether a card is positioned at the top of a phone or next to it—and understand how these elements resonate with audiences. Moreover, many ad platforms integrate generative AI to dynamically alter creatives in response to immediate audience feedback. It’s a significant leap forward—not just in terms of efficiency, but in the depth of intelligence that drives media planning today.

There’s value in taking risks.

From highly personalized creative content to real-time insights, brands have much to gain by incorporating generative AI into their media strategies. Still, many find themselves caught up in the challenges, risks and considerations. As Varr said, it’s easy to say no to these tools, but doing so can be costly. Once your competitors start effectively harnessing the untapped potential of generative AI, catching up becomes a formidable challenge.

While smaller brands tend to be more agile and willing to take risks, established enterprises have just as much—if not more—to gain from embracing innovation. To secure your team’s buy-in, Varr suggests, “Find someone who believes in it, and then demonstrate the impact. If you can do that, that’s when you’ll succeed.”

We are entering a new era of collaboration, agility and intelligence. By breaking down traditional silos and fostering collaboration among creative, media, and strategic teams, organizations can leverage the full potential of their insights and automate routine tasks. This empowerment not only enhances creative quality and campaign effectiveness but also positions brands to respond swiftly to market dynamics. In a time when agility and informed decision-making are crucial, those embracing generative AI will not only stay ahead of the competition but also redefine what's possible in media planning and execution.