Blogging about Twitter. Reminds me that Talking about music is like dancing about architecture …and I’ve already blogged about Twitter more than once. While we’re a good year and a half into Twitter, and it’s been mildly entertaining, I’m starting to see value now. So this post is for the folks still scratching their heads.
There’s a critical mass (or tipping point, if you are so inclined) of people you need to follow such that a micro-community emerges. Once that happens, you get two things. One is quick notification of important/interesting events/news/blog posts. In fact since I’m following so many web analytics folks, I no longer have to rely on my RSS reader to bring me the big stories — the community points them out. Of course you need to be following the right people for your interests – people who say interesting things.
Second is ability to get feedback. I admit I don’t use this a lot, but it can be handy, depending on your community size. Of course it didn’t help me find a 13-year old copy of Windows…
(In response to Eric’s comment in one of his posts, yeah, my “lazy blogger” tweet to him, welcoming him to Twitter, was paraphrased from something June said to me at eMetrics last spring, about Twitter being the lazy man’s blog. At the time I couldn’t tell if she felt it was a compliment or a condemnation, but now I know.)
What with all the news about Yahoo! laying off people, you could be forgiven for thinking that the company isn’t hiring. But in fact, it is. The company “de-invested” in several areas, but is increasing investment in others. Even the data team changed a number of projects, which impacted some people. But Y! is hiring, and the data team is hiring. In fact we really need help, especially if you know C++ and/or SQL. Details are at http://careers.yahoo.com/
Great read over on the Freakonomics blog with Bill James, the data wizard for the Boston Red Sox. A few choice quotes rang true for me; he could have been talking about web analytics:
I would say generally that baseball statistics are always trying to mislead you, and that it is a constant battle not to be misled by them.
We haven’t figured out anything yet. A hundred years from now, we won’t have begun to have the game figured out.
and to who should have a larger role in player evaluations, scouts or stats guys:
Ninety-five percent scouts, five percent stats. […] the knowledge of who will improve is vastly more important than the knowledge of who is good. Stats can tell you who is good, but they’re almost 100 percent useless when it comes to who will improve.
Today Yahoo! and IndexTools announced that Yahoo! is acquiring IndexTools. Here is the official press release.
I’m really jazzed about it. IndexTools is a great group that’s been laser focused on the stuff that customers care about. They have a very practical attitude towards their products. Because they started in 2000, they learned from the pioneers, and built a deep analytics system that really works well. That much was clear as soon as we popped the hood and poked around inside .. unlike a lot of their competition, they didn’t have an old and a new product that they bolted together.
So does this mean we’re going to do “Yahoo! Analytics”, and try to “steal” web sites away from Google Analytics or the commercial web analytics vendors? See, that’s not what this is about. Yahoo! has stated its desire to be a “partner of choice”, and as the new Yahoo! strategy began to sink in, it became clear that the new Yahoo! was going to need to offer a new level of products to its partners. We have many, many thousands of small and medium businesses partnering with us now, and we want to make sure they have the tools they need. We’ve already announced an open strategy where developers can take advantage of Yahoo! products and services; we want to make sure they get the analytics they need too. Yahoo! has so many partners in so many places that can benefit from this technology, it became clear — even obvious — it was now the right thing to do.
Yeah, we still have a team working on analytics solutions for our “owned and operated” world — Yahoo! is too big a customer for IndexTools, or any other commercial vendor for that matter. There’s a world of difference between massive scale for one huge customer, and massive scale for a huge number of small and medium-sized customers. Now we have both.
As for what this means for the web analytics industry, I’ll leave that to the pundits, analysts and fortune tellers.
Here’s some of the combined team after a day of meetings at IndexTools.
(and yes, that’s Dennis at the head of the table, farthest away from the camera.)
Some reactions from around the web:
In the words of Bill Clinton, “it depends on what you mean by …”
The web analytics is easy / hard discussion among various thought leaders has been interesting but I can’t help but think a little self-serving. I had a long preachy post ready to go but even I was bored by it. Instead, let me offer some observations:
- Web data is messy. It doesn’t fit into cubes (think path analysis by segment) for instance. So it requires special handling.
- Web data is noisy. Think robots and cookie deletion.
- Web analytics is nonstandard. Despite the efforts of the IAB, WAA and others, nobody can say “we use the computation standard to determine this” – because there is no computation standard. Count web 2.0 for me…
If you want to chase the rabbit down the hole, you’ll decide that web analytics is hard. if you want to defer these kinds of things to a tool vendor who will sell you turnkey “best practices” then web analytics is easy.
- In business, speed of deployment is king. Thus it’s easier to look at pre-built reports than create them from scratch.
- Lack of integration with the business goals means lack of actionability. Most analytics is like driving by looking into the glove box – interesting but irrelevant.
- As a result of the first two, there’s an emphasis on quantitative over qualitative analysis — which means there very little “analytics” at all, just metrics trending.
- When you don’t first design your analysis from business goals, you grab as much data as you can, and pick and choose the data that supports your hypothesis — either you’re in report hell, or analysis paralysis. For a very visceral example of this, look at how most people do experimentation.
If you design your analytics to meet your strategy, and staff for it, the implementation is long (and complex, yes) but the resulting analytics are easy. If you want to defer to a tool vendor who will sell you turnkey “best practices” then web analytics is hard.
It’s been said that people would rather pull off a finger nail than learn how to leverage their website data. I’ve thought about that a lot lately, and think I have the answer:
A good manicure. French, maybe.
But really, this is all soo sad because the reality is that. . . .
Web Analytics is like a drag queen: It has Really Big Hair, killer eye makeup, and knows how to promote itself:
We believe it, but how do we get to a point where others in the organization do as well?
Step One for each and everyone of us (and you are unique and abnormal in that you read a web analytics blog!) is to accept and recognize the fact that Web Analytics might might be seen as outside the mainstream and a bit freakish. Once you accept then you can move on and do something about it.
I think that’s all the steps required, really!
With extreme apologies to Avinash, and extreme thanks to June.
PS to Jim Sterne: no, I will not. Don’t even ask, ‘K?
Two new blogs today…
eMetrics from Jim Sterne, who probably needs no introduction, and
from William Garrison, a Senior Professional Services Engineer (I assume from WebTrends)
Welcome to the discussion, Jim and William!
(As always, when I find new blogs that seem to touch on web analytics, I tag them with the wablogger keyword on del.icio.us. Social bookmarking, baby! Sure beats keeping a blogroll up to date.)