Home Podcast The Big Story: Attribution Evolves, Media Networks Explode

The Big Story: Attribution Evolves, Media Networks Explode

SHARE:
The Big Story podcast

Digital media has always had great attribution – great last-click attribution, that is.

Despite lots of time, effort and money spent convincing marketers to embrace multitouch attribution (MTA), the tactic was doomed. Its Achilles’ heel was an overreliance on user-level tracking, and that was true even before cookies went away. Walled gardens made it more difficult to track across channels, and after Google pulled the DoubleClick ID in response GDPR, it was curtains for MTA.

But from the ashes of MTA, new attribution and analytics vendors are beginning to rise. Over the past two months alone, Measured raised $21 million and Triple Whale raised $24 million. Other attribution startups of note include Rockerbox and Northbeam.

Many marketers, especially DTC brands, are looking for alternative attribution solutions. Changes to Google Analytics mean the free platform isn’t as compelling anymore.

But don’t expect a future in which marketers will be able to measure channels granularly and shift budgets accordingly.

The concept of “attribution” – trying to close the loop on individual conversions – is being replaced by the notion of “contribution,” as in measuring the value that a channel contributes to a brand’s overall business, says AdExchanger Senior Editor James Hercher.

Cross-channel media measurement companies are “essentially abandoning the term attribution,” Hercher says.

Peak media network?

Then, the news that Marriott is getting into the advertising business by deploying its data (and, eventually, ads in guest room TVs) begs the question: Have we reached peak media network?

The answer appears to be no.

Big retailers started the trend (Target, Walmart, Kroger) and smaller retailers (Dollar Tree, Instacart, Gopuff) have be following suit. And now the travel category (see Uber’s ad business and Marriott) is also positioning itself to grab ad dollars. Why? Well, these companies have a compelling pitch that combines first-party data and the ability to attribute conversions with varying levels of precision.

But although the “ad network business is high margin and just tempting,” Hercher says, it’s not a great decision for all of the companies “coming out of the woodwork with their own media platforms.”

“Some of it is desperation,” he says.

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.

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.

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

Comic: It's Coming For You

Omnicom Has An AI-Powered Plan To Cut Out Ad Tech Middlemen

Omnicom is rebuilding its media machine around Acxiom and agentic AI in a bid to push more spend to publishers and sidestep the “messy middle.”