AI doesn’t fix measurement — it raises the stakes for CMOs

Ran Avrahamy, CMO, AppsFlyer

For more than a decade, CMOs have been told that better technology would finally solve their measurement problems. First, the solution was attribution. Then it was omnichannel dashboards. Now it’s AI.

But the uncomfortable truth many marketing leaders have discovered in real time is that AI hasn’t fixed measurement. It has made unreliable measurement more consequential, by accelerating decision making based on false confidence.

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The fight over principal media has moved on but advertisers are still catching up

The number that stands out in the WPP whistleblower filings isn’t the $100 million the complaint is seeking, or even the $1 billion GroupM was allegedly generating annually from undisclosed trading income. It’s 97.4% — the share of GroupM’s proprietary inventory that its own largest clients weren’t allegedly using. Google, its biggest U.S. client at $2.3 billion in annual billings, was using less than 1%.

Those figures came from GroupM’s own internal documents, now in the public court record as a result of the lawsuit. They are the most detailed illustration yet of a straightforward but uncomfortable reality: the clients funding the model weren’t the ones benefiting from it. Whether that changes (and how) is now one of the more pressing questions in the agency business.

In fairness, it always has been for some marketers. To them, the idea of agencies buying inventory for themselves and reselling it to clients — often at a markup and without full disclosure — has never sat comfortably alongside the idea of an agency acting in their best interest. What’s changed is that marketers are no longer willing to live with that ambiguity.

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