Home Ad Exchange News What Google’s Removal Of Third-Party Pixels On YouTube Means For Marketers

What Google’s Removal Of Third-Party Pixels On YouTube Means For Marketers

SHARE:

pixelAs the United States ushered in its 45th president on Friday, Google quietly ushered in a number of updates to its ad platforms.

But it was Google’s reduction of third-party cookies and pixels on YouTube, as well as the release of a cloud-based YouTube measurement system called Google Ads Data Hub, that had industry insiders scratching their heads.

To be clear, marketers can still upload their site lists/segments and target those viewers on YouTube. They just have to use Google’s identity-based, not cookie-based, tools, including Google’s Customer Match, to make an audience match via a hashed ID, or the Ads Data Hub to measure. (Google noted it would continue to work with third-party, MRC accredited measurement vendors as it builds out the new solution).

At the same time, marketers aren’t allowed to retarget YouTube user lists on third-party sites using AdWords.

In other words, data in – not out.

Google claims the elimination of third-party cookies and pixels will improve cross-screen measurement on YouTube.

Some complaints from early testers are minor. Customer Match lists are restricted to email, one source claimed, and with so much YouTube consumption happening on mobile, “then why not allow buyers/DSPs to upload mobile ad IDs the way Facebook does?”

Others, like Jenna Sheeran, SVP of search marketing for DigitasLBi, say an identity-based system will advance cross-screen measurement, but noted an issue she foresees for buyers: “It will inhibit our ability to connect data outside of Google.”

Gerry Bavaro, SVP of enterprise solutions and digital strategy for Merkle, acknowledged the same challenge: “We predict there will be [loss in] identity, measurement and targeting [compared to] what Google offers within their environment.”

Ad buyers who want a holistic view of their campaigns will need to figure out how to connect data both within and without Google’s walls.

Although YouTube’s pixel policy change will, theoretically, allow advertisers to target users across devices using Google logged-in data (and now leverage Google search data to fine-tune that targeting), some say it will come at the expense of efficiency and transparency.

It might also fragment marketers’ horizontal attribution models.

Marketers and agencies that rely only on cookie-based DSPs and ad servers to target and measure on YouTube will lose out, said Venkat Achanta, chief data and analytics officer for Neustar and the former chief data officer of Walmart.

“To regain some of these efficiencies, marketers will need to work with independent identity providers to help them bridge and measure online and offline channels,” Achanta said.

Ric Elert, president of Conversant, shared some of Achanta’s concerns.

“Most of Google’s marketing platforms prevent independent measurement of the individual at scale,” Elert said.

“There are inherent flaws in limited measurement,” he added, “but when you are an obstacle to independent measurement entirely, you end up preventing the innovation that’s necessary to make advancements that benefit everyone in the industry, and most importantly create efficiencies for marketers.”

The Benefit

But many say the upside of Google’s people-based system outweigh the concerns.

By weaning itself from cookies, some predict Google will be able to better activate on YouTube intent data from search, behavioral data from DoubleClick, site data from Google Analytics and CRM data from Customer Match.

These developments could let Google offer better demo targeting on YouTube, “which is critical to accelerate shifts in TV budgets,” said Paul Boruta, head of ad products at YouTube branding platform, ZEFR.

A significant portion of YouTube’s audience is still anonymous. This problem, which stems from Google’s lack of a user-authenticated network like Facebook, may ease if it can infer more about an end user’s age or gender based on their intent signals (a major advantage for Facebook), Boruta predicted.

“The advertising industry is really struggling to move audience-based media strategies beyond the comfort zone of cookies, so there is clearly a market need and appetite,” noted Mike Baker, the CEO of DataXu.

These new developments with YouTube and Ads Data Hub indicate Google is “aiming to align with a limited number of tracking partners that provide value in a targeting and measurement ecosystem they’re increasingly tying back to a more deterministic identity of Google users,” Merkle’s Bavaro reiterated.

Google declined a formal interview for this report.

Must Read

The Largest Shopping Mall Operator Has Its Own Retail Media Network

Simon Property Group, the largest shopping mall operator in the world, is taking its biggest step yet into the world of data-driven advertising. On Thursday, the company launched Simon Media Network, its version of a retail media network.

The Trade Desk’s Zuma Update Adds A Host Of AI-Powered Easy Buttons To Its Kokai Platform

TTD is introducing agentic AI workflow improvements and automated audience building, which are quickly becoming table stakes for programmatic platforms.

NBCU’s Streaming Strategy Involves Revisiting The Cable Playbook

In the modern streaming landscape, everything old is new again. At least that’s the case for NBCUniversal, which is trying to bring back bundled distribution deals and appointment viewing.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters
Joel Meyer, Chairman, Prebid.org

New Chairman Joel Meyer Dishes On Prebid’s Reset For The Agentic Ad Tech Era

OpenX CTO Joel Meyer, who was named Prebid’s new chairman, previews the org’s next phase and helping publishers navigate competing agentic protocols.

These are the days of our lives

After Years Of Fighting LGE, Alphonso Is Headed For An IPO – Unless Comcast Or The Koch Brothers Get There First

Alphonso – LG’s ad tech division – finally has a way out of its legal drama with parent company LG Electronics. Actually, it has three potential options.

Micro1 Wants Human Domain Experts To Profit From AI And LLMs

Much like the ecosystem of life that surrounds a blue whale, a market of AI SaaS vendors is springing up around the biggest AI companies. And AI data startup Micro1 is emblematic of the shifting nature of these early-stage AI vendors.