“It’s not a technology revolution, it’s a mind-set revolution,” said Jeremy Hlavacek, VP for Programmatic at the Weather Channel. It’s about building data around customers to target relevant ads: the right message in the right place at the right time. It’s called programmatic, and there’s more to it than you might think.
What is it?
It was one of the key buzzwords of 2014, and everyone involved in selling and buying ad inventory seems set to be talking about “programmatic”–and figuring out what it really means–for years to come. Still young, and increasingly disruptive, it’s both a set of technologies and a mind-set, and it could change marketing and advertising in ways hardly yet foreseen.
Perhaps the simplest way to think of it is by analogy with the modern stock market. Where traders once walked the floor (yes, some still do), shaking hands on deals, most stock transactions these days take placeat lightning speed on automated markets. The programmatic market for digital ad inventory is similar, leveraging software to purchase inventory in a way which also automates pricing–and it’s extending its reach to traditional (TV and billboard) ads too. Essentially, it’s about machines buying ads, thus setting the market price, with humans removed from the process as much as possible.
But is that all it is? Just a way of doing what ad tech already does, but ever faster, and on an ever larger scale? From what I heard at the Incite Programmatic Summit in New York this week, it has the potential to be much more than that.
Putting it Together
The Incite Summit audience might not have been huge, but the concentration of major brands, as speakers or audience members, was impressive: Jaguar, Stolichnaya, ESPN, Sega, Fox News, Wells Fargo. Speaking with attendees between sessions or over lunch, I was surprised to hear no skepticism about programmatic at all. People I met were either completely new to programmatic, or had been using it in some form or other for no more than a couple of years–but everyone thought the potential for business transformation was huge.
Fertile ground for disruption.
Early days, then. As Chris O’Hara of Krux said, the programmatic market is so crowded–there are so many possible choices of vendor or approach–that it’s “fertile ground for disruption; for someone to just come in and change the model.” In other words, we may not even be looking at the true shape of programmatic yet.
Krux is one of the major players in the data management platform segment, sitting between publishers, agencies and brands to optimize the value of inventories and marketing budgets. O’Hara’s breakdown of the data universe helps show both the potential of programmatic, and the challenges facing it, when it comes to delivering personalized messages at blinding speed. There are three kinds of data:
- First party data: a brand’s own data about their customers based on purchase behavior and other touch-points. Easy to access, in some cases (financial services, for example), very rich indeed, but not usually very extensive.
- Second party data: the data readers choose to give to publishers and social media platforms. Also very rich, and large in scale, but–like Facebook data–generally in walled gardens, and can be expensive.
- Third party data: available from data vendors in huge quantities, but the third party providers have incentives to sell as much of it as they can. and it’s regarded as highly unreliable.
If collecting good data is the first challenge, the second lies in identifying customers, especially across multiple channels and devices. As Hlavacek pointed out, with imperfect data sets one can’t expect perfect customer identification. But probabilistic identification can be enough. Even bad data is better than no data, and results which are only ten percent accurate can be very valuable.
If that’s what you want to do, you don’t need all of this.
Programmatic can be used, of course, just to firehose customers with content, but Hlavacek would say, “If that’s what you want to do, you don’t need all of this.” For those customers accurately identified, algorithms can be leveraged to dynamically model the messages they should be receiving. Isn’t that what marketers have always done, with or without the algorithms? Yes, but programmatic means automating the process on a large scale, at very high speed, and integrating it directly with the purchase of ad inventory, and across multiple channels.
Speakers admitted there’s a still a big gap between the concept of personalized programmatic, and what the creative side–accustomed to developing one compelling message for a large market–is geared up to provide.
Even relevant messaging can be intrusive, of course. Jim Caruso, VP of product strategy at Varick Media Management, a programmatic vendor, had it about right: “Customers are everywhere, but don’t want to be reached everywhere.” But if customer identities can be established and centralized, automated frequency management should be able to cap repeat messaging just at the sweet-spot of providing enough reinforcement without becoming an annoyance.
A Programmatic Future
If you want to take a deeper dive into programmatic, you could do much worse than check outProgrammaticAdvertising.Org. It’s sponsored by the B2B digital marketing company Multiview, but far from being a market-place for the sponsor, it carries wide-ranging and clear-eyed commentary on all things programmatic, from analytics to standards. I spoke with publisher Nicholas Henderson about where programmatic is now–and where it’s going.
“Right now it’s all very high-level and jargony,” he said. “For stakeholders that’s fine, but it can tend towards increasing confusion for marketers.” Henderson emphasizes the human size of programmatic. That’s almost counter-intuitive, given its proffer of large scale automation, but Henderson insists that people aren’t buying mechanication and algorithms, but human creative thinking.
Imagine how it would revolutionize a consumer’s experience.
“There’s a lot of buzz around dynamic creative,” he told me. “Imagine how it would revolutionize a consumer’s experience.” Mobile has all but made the website cookie extinct, but collecting contextual and behavioral data via logins or unique device IDs should make it even more possible to tailor unique and relevant experiences. “Done properly it can be very subtle.” Right now, the real-time analytics involved probably need to be outsourced to something like a data management platform vendor, but there are so many in the space that the skill-sets seem ripe for purchase and integration by brands or large agencies.
The bottom line? Caruso summed it up: “Programmatic is not about pricing and buying ads. It’s about building data around customers to target relevant ads.” We may not be seeing quite the right business model yet, or clean enough data–and creative may not yet realize what’s possible–but once those pieces fall into place, hold tight for a programmatic future.