Home Data-Driven Thinking We All Need To Join The IAB Tech Lab In The Fight Against Fake Ads

We All Need To Join The IAB Tech Lab In The Fight Against Fake Ads

SHARE:

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Pete Spande, chief revenue officer at Business Insider.

Imagine this unfortunately all-too-common scenario: A publisher works on a potential program with a new advertiser. After discussions promisingly move forward, the client suddenly hesitates carrying out the program.

Finally, after several conversations, the reason for the reluctance is revealed. The advertiser researched the site and bought inventory via programmatic. The advertiser experienced low viewability or high levels of invalid traffic. Or the campaign just didn’t perform well.

However, if you scratch below the surface, here’s what really happened: The client in question purchased fewer than 100 impressions on the property during the past six months from a shady ad seller – though they believe they bought many times that amount.

The problem is that such vendors are now as common as faux Prada bags on Canal Street, especially for increasingly valuable video inventory.

Given this background, I applaud the Interactive Advertising Bureau (IAB) Tech Lab for its launch of ads.txt, a new tool to combat the black market for digital advertising. Like credit card chips that provide additional authentication, this initiative validates inventory as genuine, whether from a publisher or dedicated agent.

I strongly encourage the industry to get behind the IAB Tech Lab’s new effort and want to underscore several important steps that need to happen simultaneously if ads.txt is to actually be effective.

First, the program must be scaled. There must be enough authenticated inventory to make it attractive to buyers. Publishers need to make available their unique publisher ID and the IDs of any authorized reseller of their inventory.

Second, both buy- and sell-side technologies must support the program. Specifically, supply-side platforms and demand-side platforms must make these IDs available to buyers.

Third, buyers must demand authenticated inventory. Ultimately, if advertisers don’t consistently demand better quality control, this initiative will be doomed.

Put simply, for ads.txt to work, each part of the programmatic ad ecosystem must play its part to ensure it becomes the standard in the industry.

Let’s all acknowledge the critical efforts being made by the IAB Tech Lab to help solve a problem that affects us all. Restoring trust between buyers and sellers – and the ad tech that connects them – is essential. And pulling in the same direction is the important first step.

Follow Peter Spande (@PeteSpande), Business Insider (@businessinsider) and AdExchanger (@adexchanger) on Twitter.

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.