Google is not media. But it is the message.

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Newsflash. Once again, for the 4th year in a row, our WPP sister firm Millward Brown Optimor has named Google the world’s #1 brand of any kind. Surprise, surprise, surprise.

Interestingly, our company recently did a far less scientific piece of research among our own employees that also said something uniquely enlightening, though entirely different, about Google.

Members of our media/experience team circulated a one question internal survey asking everyone to list their three favorite media sources.  The intention was to use the results in an orientation session to show how diverse our own media preferences are. And the results confirmed it, with nearly 125 “top 3″ sources collectively named.

But what jumped out at me was not the variety of unaided answers. Nor the overwhelming dominance of CNN (see Wordle results below, kudos CNNers), across almost every department in the agency (other crowd favorites were ESPN, MSN, Fox News, ABC, Wired, along with one medium, radio).

Mighty Google looking more like David than Goliath

What jumped out, rather, was in fact, what didn’t jump out; Google.

Think about that a minute. In a world where Google plays such a pervasive role in so many people’s lives, in an industry that’s been pretty much turned upside down by the immense power of Google itself, a relatively small number of us “industry insiders” think of Google as a “media source.”

While I suppose this shouldn’t be totally surprising, I found seeing it so clearly to be pretty enlightening.

To be quite clear, this doesn’t lessen Google’s omnipresent and ever-expanding role in pretty much everything.  But it does lead me to say this; Google is not media.

What is Google then? A tool? A platform? An aggregating oracle? The Gutenberg Press of the next millennium?

Personally, I think it most closely resembles a medium. Though this doesn’t exactly fit either, since I think in the technical sense, the Internet is the medium.

One thing is certain, though. As Marshall McLuhan pointed out (for those in the Google generation not… errr… um… experienced enough to have been forced to study this in college, see this great clip I caught the other night from Annie Hall, though you might not have heard of that either), in the grand scheme of things, it is not the content itself, or any single provider of content, that is most responsible for the way people interact with media, or the changes media can bring about, but rather the medium itself.

On that note, the results of the research are clear. Despite our overwhelming love of select media brands to keep us informed and engaged, the medium is still the #1 message. And the message is, at least as far as I’m concerned, I should have bought Google at $95.

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Predicting Target Behavior Through Web Analytics

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I was fascinated when I read the article about Google being able to predict the flu epidemic based on incidence of certain flu-related search phrases. The thought of tracking these queries so that the general public can be prepared for the next outbreak is kind of like looking into a crystal ball and being able to predict the future. For the first time, rather than preparing for the flu based on seasonality, the flu virus can be predicated based on user search behavior. It got me thinking: Why can’t we do this in marketing? As more of us spend our time on the web, we are leaving a cookie trail of our behavior that is 100% trackable. It’s up to us as marketers to connect these dots.

Connecting the dots sounds simple; however it takes the coordination of search data, display campaign data, website analytics and conversation analysis to fully understand the behavior of a target. This requires an analysis of activity first broken down by week and if accessible broken down by day. One scenario can involve looking at CTR of display advertising by week and noticing where large spikes and dips occur. Using that same time period we can study search and website data to see if the same patterns emerge. This will help bring some insight into what is causing fluctuations in CTR patters and the effect that these fluctuations have on search activity and website activity.

For example, if we saw that our target’s behavior reacts a certain way (through search queries, increase in website traffic etc) when being exposed to a trigger (TV ad, High Impact Online ad) we can effectively plan and buy our media based on their reactions. The insights that we can gain from our target can be so precise that we can accurately place media buys knowing exactly how they will react thus greatly increasing the chances of the most effective return on investment. Most companies will spend thousands of dollars on sophisticated data integration tools to give them a read on fluctuations occurring during key campaign periods. Unfortunately, most of this data is analyzed to show the performance of a campaign without any insights on what is causing these fluctuations.

To a marketer getting a complete understanding of their target is as equivalent as gold and for the first time we are able to actually forecast how our target will react based on their web behavior. The possibilities are limitless.

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