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Web Intelligence

As I said in an earlier comment, I didn’t get to see many of the sessions at eMetrics DC due to a raft of WAA stuff and great interactions with the people at the show outside the sessions.  But I have seen a lot of commentary, notably from Gary, Judah, and Eric, and related, from Christopher, on the overall message.

I have to say I agree (or is it have agreed?) – web analytics is headed for the BI shop.  In what form, we can only speculate.  But I have a few ideas, and a great resource that could be quite helpful depending on where you want to go with your analytical career.

The Google Analytics API, for one thing, is going to be huge from a BI perspective.  Just exactly what you have access to and in what format will be an issue for some BI folks, who tend to want “all of it”.

If BI really wants all the data, WebTrends was talking about cleaving the reporting from the processing – just like a traditional BI scenario, where the analytics app sits on top of any warehouse.  But I think in general most BI folks are over-thinking this issue and in time, they are going to be more satisfied with the “right” data, as opposed to “all”.

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See Ya @ eMetrics

I’ll be speaking at the eMetrics Marketing Optimization Summit on Wednesday, October 22 at 1 PM after lunch with the Summit Advisory Council.  How is it that I get scheduled in that “after Council” speaking slot every year?  Jim Sterne must not want me hanging with the Council too long…

I’ll be speaking about LifeCycle analysis and providing “how to act on the analysis” for the Marketing side.  If you are being asked to cut back Marketing budgets, LifeCycle analysis is a great way to understand the Financial ramifications of Marketing budget cuts and start getting Predictive.

Coming in on Tuesday so will miss the WAA event on Sunday for the first time.  On the flip side, I will be there through Friday afternoon ’cause I am presenting at the WAA Board meeting. 

So, for the first time since probably 2004, I will actually be there when the shindig closes.

Who’s doing what Thursday night?

Feed Advertising Sucks Too

As much, or perhaps more, than the rest of Display.

I mean, here’s a chance to get it right. 

You know who the audience is what the context is of readers on a feed.  But no, once again, the brilliant Social engineers go for Quantity, not Quality, which is the mistake the Web has been making since “Hits”.  Quantity only makes sense if you can get Weight from the media, and the web has no Weight.

Here I am, reading the feed for the Freakonomics blog, and I get a dating ad (click to enlarge):

 

The Freakonomics blog would be a great advertising environment for so many products, whether you are in the Direct camp or the Brand camp.  But instead, we’re just going to Repeat the Past.