… ask what media can do for tech. So might JFK have put it were he inspiring legions of media publishers, rather than U.S. citizens, to step up and be counted on to make a difference.
How well do revenue-enhancing media technologies really perform for publishers? Henry Blodget takes a good stab at how much Tacoda might contribute to AOL’s network revenues. Like most industry observers, he misses some basic assumptions that result in overestimating the impact, at least near term.
When any ad network claims to reach X percent of web visitors, they’re typically describing potential reach, not the actual number of visitors to whom the network served an ad in the previous month.
Example: Network Z serves ads to Sites A, B and C, which have monthly unique visitors of 2, 4 and 8 million, or 14 million combined. After removing duplicates (N visitors to A also visit B, N+X visitors to A also visit B AND C, etc.), say we have an unduplicated total of 7 million visitors to all three sites, or 50% of the duplicated total. The network may claim a potential unduplicated reach of 7 million.
But on a typical site, 20 percent of visitors generate 80 percent of traffic. So Site A, with 2 million uniques, has fewer than a half-million visitors per month who generate most pages and ad impressions. These same heavy users consume the lion’s share of ads delivered by Network Z to the unduplicated total.
Back to Blodget. First, he is correct about how Tacoda, Blue Lithium, Valueclick and others take non-premium inventory that yields well under a dollar and then use audience targeting to convert some of this into inventory yielding around $3.
In his AOL calculation, he assumes that “25% of display inventory and 50% network inventory can be ‘enhanced’ and that the ‘enhancement’ might range from 50% to 150%.”
This is a well-considered discounting of how much enhanced targeting can do for a vast amount of inventory, but it doesn’t go far enough. Since most of AOL’s volume is in email, IM, and other hard to target inventory, the amount that needs enhancement is probably closer to 90% than 50%.
Most ad impressions are generated by a small group of heavy users. If frequency caps are in effect, and if heavy users don’t do a lot of web surfing on other sites in the behavioral network, then Tacoda will have the same trouble monetizing most of this traffic that AOL has today. Therefore, my guess is that increasing AOL’s run rate by $200 million (the bottom of Blodget’s 10% to 40% enhancement estimate) will take years and many new tricks.
Tags: Ad Inventory, Behavioral Targeting by Bennett Zucker
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