I moderated a great panel at OnMedia NYC yesterday. The theme was “Beyond Behavioral Targeting.”
At an earlier panel on the State of Online Advertising Frank Addante of the Rubicon Project cited one of the reasons we are looking “beyond behavioral targeting”: “even the best behavioral networks reach only a sliver” of the desired audience.
On the panel were, Gerry Bavaro from DidIt described the firm’s approach to analyzing consumers’ use of search terms over time to help them understand customer intent at a deeper level. The firm applies linguistic analysis to optimizing media buying and bidding strategies.
Adam Lavelle from iCrossing touted the firms success with search retargeting, in which they help advertisers to targeting dynamic display ads based on a consumer’s keyword queries and subsequent landing page visits. Indeed, at the earlier online advertising panel Jeff Lanctot of Razorfish had said that retargeting is, of all the targeting strategies, “the one that works best.”
Brian O’Kelley, former CTO of ad exchange Right Media (which was purchased by Yahoo!), and now CEO of AppNexus a cloud computing company serving ad technology clients was excited about look-alike targeting, which will increasingly, he said, draw on the huge offline data stores that companies like Axciom and Experian maintain and can mine and integrate with online campaigns to enable advertisers to target consumers with characteristics similar to the profiles of their best customers.
Joe Doran, of Media 6 Degrees, waxed enthusiastic about the power of the social graph as a purchase predictor. The company has found that consumers in your social graph–connected to you via online communications on blogs and comments, for example–are many times more likely to purchase the same products you do than are unconnected consumers. They use this insight to expand clients’ prospecting lists.
Amiad Solomon of Peer 39 uses semantic analysis of Web page contents to allow highly relevant ads to be placed next to appropriate content. No more Air France ads next to an article about “Paris Hilton.”
Day 1 of OnMedia NYC was filled with good content and excitement, and some of the prior panels provided a good backdrop for my panel. For example, in a panel on the state of online advertising, Mike Afergan, CTO of Akamai identified a challenge that targeting solutions must overcome to become widely adopted: they must be simple, scalable and able to fit into the ecosystem around it.
My panelists agreed with this assessment and acknowledged that existing targeting solutions have room for improvement on the scalability and simplicity dimensions. But all new tech-based solutions I am hearing about do acknowledge the need to integrate with an increasingly complex ad technology ecosystem.
At the earlier panel on the state of online advertising, David Moore of 24/7 Real Media had stated that “there will be thousands of ways to filter” audiences or target to them, and that advertisers will need to avail themselves of a variety of approaches.
My panel bought into the vision that in the future there would be an integrated portfolio of approaches that advertisers would mix and match to meet their needs.
One point of view that is striking but that we didn’t have a chance to debate was articulated by Gerry Bavaro of DidIt, who asserted that we are heading to a future where advertisers, relying on rich profile information, will bid–in real time–on the right to serve impressions to individual customers. on the one hand, it seems like where the tactics would end up if it continues along their current trajectory. on the other hand, it recalls the conventional wisdom of 5-8 years ago that one-to-one targeting and personalization were the future. We saw hundreds of millions of dollars spent to develop highly personalizable Web sites, only to see those architectures abandoned because they were too costly to maintain and didn’t deliver enough benefit.
Will this time be different? What do you think?
(Originally posted at AlwaysOn.)