Home AdExchanger Talks Podcast: The Durability Of Ad Exchanges

Podcast: The Durability Of Ad Exchanges

SHARE:

AdExchanger Talks is a podcast focused on data-driven marketing. Subscribe here. This episode of AdExchanger Talks is supported by Tealium.

It was a long journey from OpenX CEO Tim Cadogan’s bucolic upbringing in Dorset, England, to the technology centers of California, where frenetic change is the only rule.

Cadogan has had a front-row seat to several waves of ad technology, having joined search ad startup GoTo (later Overture) prior to its sale to Yahoo and later worked in programmatic at Yahoo after the company acquired exchange platform Right Media. Neither search nor programmatic panned out for Yahoo, and Cadogan eventually left to found his own company.

OpenX started as an ad server but later added the exchange capabilities it is known for today.

“You were beginning to be able to transact in real time,” Cadogan says on the latest episode of “AdExchanger Talks.”  “And you were beginning to be able to use consumer data at the atomic level, the level of the impression, to access that data in real time and potentially trade on it.”

Cadogan’s idea was to build a marketplace using the 30,000 publishers that were using the OpenX open-source server to gain access to supply. It didn’t work out terribly well, since much of the open-source supply was poor quality.

“We ended up doing it the hard way,” Cadogan says.

Over the years, OpenX and its competitors have faced a series existential challenges – nonhuman traffic, Google’s consolidation of power, header bidding and so on – emerging intact after each.

“Any industry that makes money has people who try to exploit it,” Cadogan says. “In our case, because we had experience in the search business, we had kind of lived this before. As search fraud became harder to perpetrate, a lot of these bad actors moved into this new market because they could use some of their techniques and modify them.”

OpenX will spend $25 million on quality initiatives this year, and 30 staff members focus on the issue. Do buyers notice?

“I think they do when they know about it,” Cadogan says.

Also in this episode: the implications of AT&T’s AppNexus acquisition, life after header bidding and business models in ad tech.

Must Read

Who Will Stand Up For The Open Web?

The open web is done, stick a fork in it. Banner blindness is near universal, search traffic has run dry and publishers are struggling for oxygen. But what if that’s … not true?

A comic showing lab techs as stand-ins for legislators experimenting with provisions for US state privacy laws, including restrictions on collecting sensitive data.

What Publishers Don't Know About New Jersey’s Data Broker Law Could Cost Them

Attention, publishers: Although you might not think of yourself as a data broker, in the great state of New Jersey, that’s not really your call anymore.

Predict Bowl Icon. Magician Element, Forecasting Symbol – Vector.

Why This Marketing Measurement Company Just Open-Sourced Its Forecasting Engine

MMM can tell marketers what worked, but Lifesight’s open-sourced forecasting tool aims to tell them what to do next.

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

Podcasts Are Becoming More Programmatic. But Now Advertisers Have To Keep The Ad Load In Check

As programmatic buying becomes more common in audio, marketers and platforms fight the temptation to cram in as many placements as possible.

PubMatic Jumps On The Show-Level CTV Targeting Bandwagon

Connected TV advertisers are still pining after show-level control. And PubMatic announced contextual targeting at the episode level is available to media buyers accessing CTV inventory through its platform.

SQREEM Touts The Large Behavioral Model – Not The LLM – As The Winning Predictive Engine

Rather than relying on machine learning, SQREEM uses a mathematical AI model to track how systems change over time and predict audience behavior.