At the recent OMMA Hollywood conference, the buzz about behavioral targeting was bigger and better than ever. Growth in share of online ad dollars and a recent glowing Forrester report had
advertisers and media companies excited. However, while confidence was high, there was still significant confusion in one area: what constitutes "a behavior," and how do you match the right behaviors
with strategy?
When you're making an online behavioral media buy, do you know which behaviors you're really buying? When you plan a buy, do you know whether the behavior is signaling the
consumer's intent to purchase, or an interest in the topic?
This distinction has always been critical in advertising: advertisers display brand ads to interested prospects and direct
response ads to people who are in the market to buy. It is no less critical in the online world of behavioral targeting.
Interest Versus Intent
If users visit a news
site within a travel section, we can assume that they are interested in travel. But we can't assume that their behavior means that they are about to purchase a trip--not unless they click to a travel
reservation site, that is. But when you purchase a behavioral media buy, are you getting that level of distinction? Probably not.
By not being transparent about the precise behaviors
being sold, the media seller or network is doing a disservice to you. Your ads will not perform if audiences aren't highly targeted, and an ad without a clear call to action may lose the sale with
in-market buyers.
By not being fully transparent about behaviors, we're also doing a disservice to the industry. Behavioral targeting will never completely fulfill its promise for
advertisers until we remove complexity and make it crystal-clear which behaviors we are buying and selling.
Bundling the Good, the Bad, and the Ugly
For years online
media buyers and sellers have played a little game. The rules are unwritten, but everyone knows them. Sellers bundle different types of inventory to achieve the right price. Buyers agree to buy the
bundle in the hope that the good part will be enough to make it worthwhile.
With the industry still in its infancy--as behavioral targeting is--confusion shouldn't reign. Greater
transparency would make for much more effective behaviorally targeted ads--and the resulting boon would be good for both buyers and sellers.
Toward More Effective Behavioral
Media Buys
To have an effective behavioral media buy, two conditions are needed:
- Behaviors must be fully transparent. The buyer must know
whether the audience has a general level of interest in the product, or intent to purchase.
- The purchased audience must match the campaign goals of the buyer.
If these two conditions are met, you have all the necessary elements for effective behavioral targeting. Some examples of how this would look in action:
Direct Response
Example: A financial services company wants to target in-market buyers with its IRA accounts. The buyer purchases an audience whose behaviors indicate intent to purchase. When John types "open
IRA" into his search engine, the company's direct response ad is delivered to John, even when he later visits a blog.
Brand Example: An athletic shoe company running a brand
campaign purchases an audience whose behaviors indicate interest, such as reading articles on the running section of a sports site or visiting a running blog and submitting an entry that mentions a
passion for running. So when Carla surfs a running site and then leaves to visit a weather site, she sees brand ads for running shoes.
Breaking the Black Box
Similar
behaviors are clearly not of the same value to advertisers. The person reading an article about cars is not in the same mindset as the person configuring car options for purchase. The same ad could
have a big effect on one reader and none on the other.
But for too long now, media sellers have lumped similar behaviors into the same bucket and tried to use a "black box" to hide their
value from buyers. It's time to abandon this pose and shine a spotlight on the distinct behaviors that are being bought and sold.
With more transparency, ad buyers and sellers will have
the information they need to accurately value specific behaviors. Advertisers can then make better purchase decisions and realize more effective campaigns. Sellers can get maximum value for their ad
inventory.
We don't need a black box to confuse the issue. Today, some companies are trying to make money off that confusion. In the search world, that confusion has been
used to lump contextual ads into the same bucket as search ads. Clearly, search is about imminent action and intent, and contextual advertising is about interest in a topic. Both can be valuable--but
for very different reasons.
Advertisers have pressured the networks to unbundle the two approaches for quite some time. The only reason that search networks could get away with this
bundling in the first place was because they first achieved critical mass in search (intent) and they then added volume through contextual (interest). The key point here is that bundling works once
you get to critical mass, but before that it simply gets in the way.
So let's do something that will help us all: admit that all behaviors aren't created equal, and provide more
transparency for all.