Home The Big Story Hallelujah, Retail Media Standards: Miracle Or Meh?

Hallelujah, Retail Media Standards: Miracle Or Meh?

SHARE:
Logo for AdExchanger's Big Story podcast, with journalistic insights on advertising, marketing and ad tech

The IAB released its first set of standards for retail media at the beginning of December. But are these new standards the Christmas gift advertisers have been waiting for?

Not exactly.

Brands want standards to make it easier to spend across multiple retail media networks. Absent standardization, it makes sense for brands to spend their budgets with the largest incumbents.

But with standardization, marketers can more easily spend across different platforms, which gives smaller players a leg up. Standards could be a boon for mid-tier retail media networks like Kevel and CitrusAd.

However, the IAB’s new standards are narrowly focused on defining in-store media types. For example, they establish metrics for ad impressions in brick-and-mortar locations, such as “opportunity to see” an ad (OTS) and its slightly more precise cousin, “likelihood to see” (LTS). Just what the industry needs: a new slate of three-letter acronyms.

All IAB standards are essentially voluntary. It’s up to the industry to adopt them or not. As AdExchanger Senior Editor James Hercher explains, while no retail media network is likely to oppose standardization, some of the biggest players, like Criteo and Walmart, will probably not be inclined to push forcefully for their adoption.

AI in advertising

We close out 2024 with everyone’s favorite topic: the rise of generative AI in advertising. Associate Editor Victoria McNally asked her sources for their take on AI. How will marketers evolve their use of the tech in the coming year? And if you’re expecting responses that buy into the usual hype, prepare to be surprised.

Forget ChatGPT – marketers are sick of the AI conversation revolving around chatbots.

Similarly, don’t expect every agency to embrace AI-generated ads that have been automatically tailored to the individual user. That stuff isn’t ready for prime time, and there’s no way to tell if that degree of AI-powered ad personalization will ever be cost-effective – or effective at all from a performance standpoint.

Instead of diving into AI head first, many marketers are dipping their toes, testing lower-impact applications like AI-generated subject lines for email blasts.

Still, marketers are trusting AI more each year, according to numbers from Advertiser Perceptions. In 2023, just one in four advertisers said they trust AI to make campaign decisions without human oversight. But this year, half of advertisers said they trust AI without human supervision.

We discuss the implications of that growing trust. Is it based on a sound understanding of the tech behind trendy AI tools, or are platforms selling a bill of goods?

Must Read

AdExchanger Senior Editors Anthony Vargas and Alyssa Boyle.

POSSIBLE 2026: AdExchanger's Hot Takes

AdExchanger Senior Editors Alyssa Boyle and Anthony Vargas share their takeaways from three days chatting about agentic AI at POSSIBLE.

Reddit Reports A 75% Boost In Q1 Ad Revenue As It Reaches For 100 Million Daily US Users

Generative AI search has pushed traffic off a cliff across most of the internet, but not on social platforms. Reddit included.

POSSIBLE 2026: Can AI Help Agencies Finally Break Down Those Silos?

Domenic Venuto, indie agency Horizon Media’s chief product and data officer, sat down with AdExchanger during POSSIBLE at the Fontainebleau in Miami to unpack the role of AI in today’s media and advertising landscape.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Google Touts Its AI Ad Tech Adoption And New AI Max Features

Google announced new features and ad types for AI Max, its AI-based bidding product for search and shopping or sponsored product ads. The company also touted “hundreds of thousands” of advertisers using AI Max.

Hand pressing blue AI button on keyboard. Digital collage of artificial intelligence interface.

Meta’s Ad Machine Is Purring, So Why Did Its Stock Drop?

Meta’s Q1 call sounded like an AI and hardware pitch, but under the hood it was still about one thing: investing in AI to squeeze more money out of its ads business.

Alphabet Exceeds $100 Billion In Q1 And Its Profits Almost Doubled

Alphabet earned $109.9 billion in Q1 this year, up from $90.2 billion a year ago. And that’s not even the truly gobsmacking number.