By using the process outlined in this article, you can get a very good understanding of what the Google “not provided” data is in regards to what types of queries people are entering. Not exact, but good enough to make some solid extrapolations.
Google plans to add filtering mechanisms to Google+, allowing users to receive more relevant social content as the company seeks to challenge rival Faceb...
I love the one comment in this post...Excellent.
I have a friend who loves yarn. It is just not my thing. I might glance at her stream and that's fine, but if I wanted to explore something about yarn I would not start with her, I'd go exploring on the web on my own and I wouldn't want what I find filtered by my relationship to her.
Aaron Wall: initially when Panda hit...it seemed to hit larger sites with higher page counts. There are some exceptions to that, where some larger sites with either brand or some great user experience metrics slid through (and then as Google got more confident with the Panda algorithm they eventually applied it to some smaller sites as well).
What it boils down to, is Google is looking out for Google.
Last month we talked about using analytics data to conquer the task of writing dynamic content and beat writer’s block.
Asking the Right Questions
We set the date range to the single day. This clears out all the information gathered about any other day since tracking begin. Our job now is to answer these questions:
Where did the visitors come from? – This points to which referrers may bring better amounts of traffic to your site.
What did they look at? – Which pages brought this amount of attention, and is it something you can replicate?
How long did they stay? – If they only stayed a few seconds, they probably didn’t find what they were looking for.
Did they visit any other pages on the site? – This indicates one of two things. One, they found what they wanted and decided to surf the site. Two, they didn’t find what they needed on that page, but thought they might be able to find it elsewhere on your site.
Word Stems represent some of the *most* tightly related words you can pepper into a web page, and deserve close attention when creating content.
This should help your documents to rank better, be more interesting for end-users, and look a little more natural (thus better able to withstand “human review” by Google). Best of all, they will help keep your documents from looking a little too keyword-stuffed – by getting the keyword in there a few more times – but in *stealthy* form.
Google's secure search does not provide the search query used to visit a site. Learn five steps to gain deeper insights into this traffic.
In this post, about an important Google change, I want you to focus less on the data but focus more on the methodology. And. So important. I want you to help me with your ideas of how we can do this impossible analysis better, in the complete absence of data :). So please share your ideas via comments and let's together make a smarter ecosystem.