I have already described how you can organize your keyword lists manually to analyze them properly. Here is a new keyword research tool for you – Concentrateme that helps analyze and organize your long tail search referrals the way you could do the most of them. The service is paid: the cheapest plan costs $39 per month with the free trial version (you can view and analyze one month of the search history).
First, connect Google Analytics to your Concentrateme.com account:
Then give the system a few minutes to sort the data and browse through the collected and organized phrases.
One of the best option the system offers is creating patterns. Patterns stand for phrases containing the core word. Patterns are mapped as [X] core-term, where X stands for any word that occur before the core term; possible patterns thus include:
[X] core-term – there is only one word going before the core term;
[X][X] core-term – there are two words going before the core term;
core-term [X] – there is one word going after the core term;
[X] core-term [X] – there is one word before and one word after the core term.
Another great feature is exploring the word relations with Word trees. WordTree view shows how frequently sequences of words occur in your search queries. When metrics are available, the words in the wordtree are colored by their value so you can see things like “average time on site” for individual words. Here are two examples of word trees:
And a “reverse” Word Tree”:
If you choose to test the tool, please share your experience.
Also, please have a look at SEJ SEO tools review disclosure.
Seems interesting but it would be more powerful and useful if it simplified regular expressions to the point where laymen can use it.
For example, using it to provide stemming filters that group longtail phrases together e.g. widget prices, blue widget price, widget pricing and then analyzing the results of that cluster of data.
Gab, the pattern clusters stem words by default and the wildcard [x]‘s actually match one or more terms. Run on data from your widget example, concentrate would group many of those longtail phrases together. More control over stemming and branded terms is on the way in the enterprise version.
Trees look pretty cool.
“For example, using it to provide stemming filters that group longtail phrases together e.g. widget prices, blue widget price, widget pricing and then analyzing the results of that cluster of data.”
Our tool actually does precisely this, if you’re interested (WordStream dot com/try or shoot me an Email at tdemers at wordstream dot com with questions). It’s a bit different but the premise is still leveraging historical data, intelligent segmentation, long tail analysis, etc.
Check out this blog post for a good example of how the patterns can be applied: http://www.juiceanalytics.com/writing/target-long-tail-searches-keyword-patterns/
There are some really interesting word combinations that would otherwise be lost in the long tail. Travel sites, for example, get a bunch of traffic from the pattern “things to do in [x]“.
but it’s no free, so sad I am