Comments on: F100ds – Part 2

By: Clint

Clint — Mon, 03 Jul 2006 16:58:00 +0000

Zach, thanks for the info. Do you approach SEO like Jeremiah Oywang or do you spend a lot of time structuring your meta data for search engines? (I'm in the Jeremiah camp which makes some of the terms I come up on very amusing).

By: Zach

Zach — Mon, 03 Jul 2006 14:27:00 +0000

To Clint’s question: At Juice Analytics, the majority of our traffic is driven by our blog. We don’t expect (or even want) to bring in much traffic for the rest of our site.

We see dramatic jumps in traffic when someone with big-time traffic links to us (e.g. Jon Udell, Reddit, Ogle Earth), otherwise we have pretty steady volume on the order of 400-500 unique visitors a day. Most of our traffic comes from Google searches. It seems that the more you post, the more Google likes you, and the more times you end up on the front page of a Google search.

By: Clint

Clint — Wed, 21 Jun 2006 20:12:00 +0000

So, because Eric has a ‘real’ website which his blog is a part of, the traffic is steady (and thus so are the referrals). Those of you with full-blown websites attached to your blogs (Juice Analytics and Lunametrics jump to mind) do you see a similar pattern in your site traffic? Or, is your site traffic driven more by your blogs?

Or is my bubble just burst?

As to the direct segment, I know this is a waste bucket for any visit where the referrer is unknown or doesn’t exist but the reason that I am interested in it is the smoothness. I would assume that if it was traffic from RSS readers it would look more like the step-wise pattern from the other blogs.

By: Avinash Kaushik

Avinash Kaushik — Wed, 21 Jun 2006 16:28:00 +0000

Hooray for mid-tiers!!!

My theory on Eric’s steady trend is that unlike the rest of us Eric is extremely well known and has a steady stream of traffic each day and if X % click thru on links on his site then we all in turn get a steady stream of links each day to our websites. We’re just riding Eric’s gravy train.

Your theory on the “stepwise” is right, I think. I don’t post every day, at most twice a week, and the referrals graph from Occam’s Razor pretty much mirrors my “posting schedule”. The interesting thing is that I think it also mirrors (the slope between steps) my traffic which is fascinating.

Segmenting out the direct and then looking for that segment between New and Returning would be fascinating. But even on our business websites “direct” traffic is notoriously difficult to pin down (the “world wide web” is really “weird world wide web” when it comes to data capture).

I anxiously await the next nugget of insight Clint, thanks so much for the interesting analysis. How fun!

-Avinash.