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Gary,

I will gladly send back your wrecking ball since it's not really my style to do a tear-down job like that. But sometimes someone writes something so dumb and so mindless it just makes my innards go "pop!" and I am compelled to say something.

Google Analytics is a freaking great tool for a certain audience ... but little more. Compelling, yes. Visually appealing, yes. Best at its price point, yes. But appropriate for some of the companies I see deploying it out there? Nope.

Which makes me wonder who is giving them the "get Google Analytics, it's free and it's totally great!" advice? People with vested interests, for sure, which is ironic because one person wrote me after the Dainow post (and the free vs. for-fee report) asking if I held shares in OMTR and VSCN and was just trying to run them up (as if I have that kind of clout ...) I don't, for exactly this reason.

I learned at JupiterResearch that being beholden to a company or an idea is very dangerous. When I was at Visual Sciences, of course I loved the application. But I was ** paid ** to love the application. And when you're paid to believe something, or write something, or say something ... that's what you do. That's what a product manager does, and what an evangelist does. Easy!

Still doesn't explain Dainow, but I suspect that too will become clear in time.

Anyway, great post.

E.

Gary: I really enjoyed reading this post. I think it was becuase it was a thoughtful dissection of the current state and presentation of your cogent perspectives on possible outcomes and scenarios.

I might quibble on a point here or there (especially your dig on "semi-plausible canards"!! :), but that does not distract from a well written post and a depersonalized presentation of your perspective.

I greatly enjoyed reading it.

Thanks,

Avinash.

Excellent viewpoints.

Regarding your statement "the idea that you should try it because it’s free is deeply flawed" ---

Because GA seems to be paying more attention to its GUI than to connectivity, it requires a lot of clicks to get to anything followed by copying data into summaries. Some of us, on the other hand, are working with post-processed data pulled automatically from many individual reports in enterprise tools. So our GA-using clients end up paying a lot more for mid-level weekly report summaries than they would pay for the one-time implementation of really interesting processed stats using a fee-based tool.

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