As Nielsen Buys DoubleVerify, Mark Zagorski Looks At Advertising’s Next 20 Years
Nielsen’s $2.15 billion deal to acquire media-measurement firm DoubleVerify comes at a moment when the advertising industry is undergoing another technological upheaval, with artificial intelligence poised to reshape how media is bought, measured and verified.
For Mark Zagorski, chief executive of DoubleVerify, the deal also marks the latest turn in an evolution that has transformed advertising over the past two decades. Nielsen this week agreed to acquire DoubleVerify in cash, with the transaction expected to close by the first quarter of 2027, subject to shareholder and regulatory approvals.
The combination would bring together Nielsen’s audience measurement and media intelligence with DoubleVerify’s technology for verifying media quality, detecting invalid traffic and measuring viewability and brand suitability. DoubleVerify will become privately held while continuing to operate under its existing name and brand.
Twenty years of media reinvention
That changing landscape provides a fitting backdrop for Beet.TV’s 20th anniversary. Through some 11,000 video interviews with industry innovators, Beet.TV has chronicled a media business with a remarkable talent for reinventing itself just as everyone finally figures out how the previous version worked.
Beet.TV has documented the rise of streaming, programmatic advertising, connected TV, social media, retail media and increasingly sophisticated measurement technologies. Now AI is promising another transformation, possibly before anyone has finished updating their LinkedIn profile.
Zagorski sees programmatic advertising as perhaps the biggest technological shift of the past two decades. And he thinks AI is setting the stage for another one.
“I think the biggest change or impact of innovation over the last 20 years has really been programmatic,” Zagorski said in this interview at the Possible conference in Miami last April. “It moved from buying and selling of digital media, from humans to machines that used data, that bid on impressions.”
That shift created what Zagorski described as a marketplace for media unlike anything that had existed before. It also meant that advertisers could suddenly buy enormous quantities of impressions at machine speed, which naturally created another little problem: figuring out what they actually bought.
Measurement had to evolve with it.
Media fragmentation means measurement can’t remain tied to a single platform, Zagorski said. Advertisers also increasingly expect measurement to do something beyond producing another dashboard for somebody to admire during a conference call.
“They want to act on it,” he said.
The newest stage is connecting measurement to business outcomes. In advertising, Zagorski said, the question ultimately becomes whether an ad drove a sale. Measurement has consequently moved from what he called a “static and stagnant metric” toward something active and actionable.
The industry isn’t finished with that transition.
“We’re not in the ninth inning,” Zagorski said, describing the business as midway through connecting measurement with actionability and outcomes. Advertisers are driving the change because they increasingly want to know what happened to their money after it left the building.
Verification gets more sophisticated
Verification has undergone its own evolution.
Early verification focused on relatively basic questions such as whether an ad was viewable or appeared alongside brand-safe content. It has since expanded into more nuanced areas including suitability and attention.
Those metrics matter because they can be more closely connected to outcomes, Zagorski said. But merely discovering that an impression appeared somewhere an advertiser didn’t want it is a little like receiving a weather forecast after the tornado removed the roof.
“Powering actions, powering activations, is where verification is going,” Zagorski said.
That means more granular data, more nuanced data and signals that can be used consistently across platforms.
DoubleVerify also has expanded its relationship with TikTok, measuring more types of media on the platform while giving advertisers pre-bid tools intended to help them avoid certain content.
Zagorski sees that as part of a broader opening of the industry’s famous walled gardens, which historically have been quite enthusiastic about accepting advertising dollars and somewhat less enthusiastic about letting outsiders inspect the plumbing.
He said those platforms increasingly are opening themselves to third-party measurement to create “a more transparent and advertiser-friendly environment.”
AI was apparently AI before AI was AI
Then there’s artificial intelligence, the technology currently being attached to virtually everything except perhaps the office coffee machine, although somebody is surely preparing a funding round for that.
DoubleVerify has been using machine learning for years.
“We’ve been doing AI before it was AI,” Zagorski said. “We called it ML back then. Two different letters, but very similar.”
DoubleVerify now calls its AI technology Neura. The system helps power the company’s agentic interfaces and its analysis of content and context.
AI can help DoubleVerify contextualize content faster, operate at greater scale and customize analysis for clients. But the technology is simultaneously creating an entirely new set of headaches for advertisers.
One is the proliferation of what Zagorski unabashedly called “AI slop,” the rapidly multiplying universe of machine-generated content that advertisers may decide they don’t want anywhere near their brands.
AI also may change how advertising itself is purchased. Zagorski expects agentic interfaces and AI agents eventually to participate in media buying.
And then things get really interesting.
Today’s bot may be tomorrow’s customer
For years, digital advertising has treated bots as something roughly between cockroaches and credit-card fraud. Verification companies have spent enormous resources helping advertisers avoid paying for machine-generated traffic.
AI could complicate that tidy worldview.
“Today most advertisers look at bots as evil, right?” Zagorski said. “Why would I ever advertise to a bot? They don’t buy.”
But tomorrow’s AI agent might.
“Tomorrow, that bot or that agent might buy,” he said.
That raises a rather extraordinary possibility. Advertisers may eventually spend money trying to influence software that is making purchasing decisions for humans.
The industry that spent years attempting to make sure robots weren’t looking at its advertising may eventually need to figure out which robots are worth advertising to.
Your current job may have an expiration date
The transformation also has obvious implications for people entering advertising and media.
Zagorski’s advice isn’t to master one particular job description. It’s to assume that job description may not survive.
“Don’t expect the job today to be the job tomorrow that you’re going after,” he said.
Traditional roles such as media buyer, programmatic trader and even creative jobs could change dramatically as AI takes over more tasks.
That doesn’t mean Zagorski expects humans to disappear. He argues that people will remain necessary to guide AI, whether they’re creating advertising, buying media or developing media plans.
You’re watching “From Digital Disruption to the AI Era”, a Beet.TV Leadership Series for Beet.TV’s 20th Anniversary. For more videos from this series, please visit this page.
Nielsen’s $2.15 billion deal to acquire media-measurement firm DoubleVerify comes at a moment when the advertising industry is undergoing another technological upheaval, with artificial intelligence poised to reshape how media is bought, measured and verified.
For Mark Zagorski, chief executive of DoubleVerify, the deal also marks the latest turn in an evolution that has transformed advertising over the past two decades. Nielsen this week agreed to acquire DoubleVerify in cash, with the transaction expected to close by the first quarter of 2027, subject to shareholder and regulatory approvals.
The combination would bring together Nielsen’s audience measurement and media intelligence with DoubleVerify’s technology for verifying media quality, detecting invalid traffic and measuring viewability and brand suitability. DoubleVerify will become privately held while continuing to operate under its existing name and brand.
Twenty years of media reinvention
That changing landscape provides a fitting backdrop for Beet.TV’s 20th anniversary. Through some 11,000 video interviews with industry innovators, Beet.TV has chronicled a media business with a remarkable talent for reinventing itself just as everyone finally figures out how the previous version worked.
Beet.TV has documented the rise of streaming, programmatic advertising, connected TV, social media, retail media and increasingly sophisticated measurement technologies. Now AI is promising another transformation, possibly before anyone has finished updating their LinkedIn profile.
Zagorski sees programmatic advertising as perhaps the biggest technological shift of the past two decades. And he thinks AI is setting the stage for another one.
“I think the biggest change or impact of innovation over the last 20 years has really been programmatic,” Zagorski said in this interview at the Possible conference in Miami last April. “It moved from buying and selling of digital media, from humans to machines that used data, that bid on impressions.”
That shift created what Zagorski described as a marketplace for media unlike anything that had existed before. It also meant that advertisers could suddenly buy enormous quantities of impressions at machine speed, which naturally created another little problem: figuring out what they actually bought.
Measurement had to evolve with it.
Media fragmentation means measurement can’t remain tied to a single platform, Zagorski said. Advertisers also increasingly expect measurement to do something beyond producing another dashboard for somebody to admire during a conference call.
“They want to act on it,” he said.
The newest stage is connecting measurement to business outcomes. In advertising, Zagorski said, the question ultimately becomes whether an ad drove a sale. Measurement has consequently moved from what he called a “static and stagnant metric” toward something active and actionable.
The industry isn’t finished with that transition.
“We’re not in the ninth inning,” Zagorski said, describing the business as midway through connecting measurement with actionability and outcomes. Advertisers are driving the change because they increasingly want to know what happened to their money after it left the building.
Verification gets more sophisticated
Verification has undergone its own evolution.
Early verification focused on relatively basic questions such as whether an ad was viewable or appeared alongside brand-safe content. It has since expanded into more nuanced areas including suitability and attention.
Those metrics matter because they can be more closely connected to outcomes, Zagorski said. But merely discovering that an impression appeared somewhere an advertiser didn’t want it is a little like receiving a weather forecast after the tornado removed the roof.
“Powering actions, powering activations, is where verification is going,” Zagorski said.
That means more granular data, more nuanced data and signals that can be used consistently across platforms.
DoubleVerify also has expanded its relationship with TikTok, measuring more types of media on the platform while giving advertisers pre-bid tools intended to help them avoid certain content.
Zagorski sees that as part of a broader opening of the industry’s famous walled gardens, which historically have been quite enthusiastic about accepting advertising dollars and somewhat less enthusiastic about letting outsiders inspect the plumbing.
He said those platforms increasingly are opening themselves to third-party measurement to create “a more transparent and advertiser-friendly environment.”
AI was apparently AI before AI was AI
Then there’s artificial intelligence, the technology currently being attached to virtually everything except perhaps the office coffee machine, although somebody is surely preparing a funding round for that.
DoubleVerify has been using machine learning for years.
“We’ve been doing AI before it was AI,” Zagorski said. “We called it ML back then. Two different letters, but very similar.”
DoubleVerify now calls its AI technology Neura. The system helps power the company’s agentic interfaces and its analysis of content and context.
AI can help DoubleVerify contextualize content faster, operate at greater scale and customize analysis for clients. But the technology is simultaneously creating an entirely new set of headaches for advertisers.
One is the proliferation of what Zagorski unabashedly called “AI slop,” the rapidly multiplying universe of machine-generated content that advertisers may decide they don’t want anywhere near their brands.
AI also may change how advertising itself is purchased. Zagorski expects agentic interfaces and AI agents eventually to participate in media buying.
And then things get really interesting.
Today’s bot may be tomorrow’s customer
For years, digital advertising has treated bots as something roughly between cockroaches and credit-card fraud. Verification companies have spent enormous resources helping advertisers avoid paying for machine-generated traffic.
AI could complicate that tidy worldview.
“Today most advertisers look at bots as evil, right?” Zagorski said. “Why would I ever advertise to a bot? They don’t buy.”
But tomorrow’s AI agent might.
“Tomorrow, that bot or that agent might buy,” he said.
That raises a rather extraordinary possibility. Advertisers may eventually spend money trying to influence software that is making purchasing decisions for humans.
The industry that spent years attempting to make sure robots weren’t looking at its advertising may eventually need to figure out which robots are worth advertising to.
Your current job may have an expiration date
The transformation also has obvious implications for people entering advertising and media.
Zagorski’s advice isn’t to master one particular job description. It’s to assume that job description may not survive.
“Don’t expect the job today to be the job tomorrow that you’re going after,” he said.
Traditional roles such as media buyer, programmatic trader and even creative jobs could change dramatically as AI takes over more tasks.
That doesn’t mean Zagorski expects humans to disappear. He argues that people will remain necessary to guide AI, whether they’re creating advertising, buying media or developing media plans.
You’re watching “From Digital Disruption to the AI Era”, a Beet.TV Leadership Series for Beet.TV’s 20th Anniversary. For more videos from this series, please visit this page.
