What Is Data Mining in SEO and How It Applied Successfully on a Weight Loss Website?

For quite a while now, I’ve been trying to increase traffic to a new weight loss blog. SEO is all I do now; you might even call it my new obsession. But with how critical knowledge of SEO is to generating traffic, you can’t fault me for doing this. And traffic is the lifeblood of any blog; zero traffic means your work as a blogger is all but labor in vain.

Quantity is not the only measure of a successful blog; you need to have the right kind of traffic. In the quest for traffic I tried myriads of tactics without really getting the results I wanted. But at least I came to a valid conclusion; SEO is the access pass to the traffic treasure trove. It was the only way to breathe life into my floundering weight loss blog.

Why Not Any Kind of Traffic Is Good For Your Blog?

I’ll tell you this for free from my vast experience in generating traffic for blogs; quantity and quality are not the same when it comes to traffic. Contrary to popular belief, not just any traffic will be beneficial to your blog. What is really important is if the people visiting your site are people actually interested in the content posted there; people drawn to your blog by relevant keywords. Ok, I’ve got it, you say, but how exactly do I generate the right kind of traffic without having to overstretch myself?

How Do You Create Traffic From Non-Competitive Keywords?

So you need a long tail. Not the one kangaroos or monkeys have, we’re talking about long tail keywords. If you didn’t know, there are two kinds of keywords: ordinary keywords and long tail keywords. An example of an ordinary is ‘weight loss diets’ or ‘weight loss plans’ while long tail keywords would resemble ‘weight loss diets for women over 35’. Looking at the three examples given above, it is easy to see the difference; the first two are more general in nature while the long tail keyword is specific to not just women, but women in the age bracket mentioned looking to lose weight.

  1. Getting an appropriate long tail keyword to use to boost your traffic is not as simple as it appears. A prudent approach to keyword construction is required.
  2. The first thing you need to do is come up with a short tail keyword containing not more than 3 words. This can be the main keyword of your website or the main keyword of your money page. When you’ve settled on one, observe how your site ranks for it.
  3. From Google Analytics, take note of other keywords visitors used to land on your page and see where you rank for them.

When you have done this exercise, you can now take the plunge into data mining.

How Data Mining Helps You Generate Keywords – Focusing on Non-Primary Keywords

Data mining is simply the process of “establishing patterns” among keywords by studying the Google Analytics of your blog. In SEO terms, it means extracting long tail keywords from short tail keywords. This is how it happens; after you’ve come up with short tail keywords and placed them in the most important page of your blog; monitor the kind of traffic they are drawing in, also observing the traffic being generated by other keywords.

Example 1

Let us make an example of a keyword I am presently trying to rank for: ‘weight loss diets for women’. After conducting a traffic analysis of my blog, it came to my attention that I was getting traffic not only from the above phrase, but also from related keywords such as the ones listed below:

Example 2

Another very competitive keyword I am trying to rank a website for is “Diettogo coupon”. After conducting a traffic analysis I realized that the website was getting hits from searchers using keywords I have never thought of, such as:

  • Discount coupons for Diettogo
  • Promotional coupons for Diettogo 2012
  • Valid Diettogo coupons online
  • Diet to Go coupon codes

The fact that such keywords are easier to rank for is a plus for the site I am promoting. Since I am already getting traffic from them, all I would need to do now is focus on increasing my rankings for these low-competition, long-tail keywords that my competitors have not yet figured out. In other words, I focus my SEO campaign now on these keywords, instead of my primary keywords.

Your blog may not appear yet on the first page of Google for your primary keyword, but the fact is that you are already generating traffic from related keywords you did not even think of. This means your task is simply to strive to get to number 1 for these secondary keywords. Not so hard to do now, is it?

What Is The Process Of Data Mining In SEO?

In a nutshell, data mining is a simple 3-step process:

  • Come up with short tail keywords – your primary keywords
  • Analyze your blog for traffic from other long tail keywords
  • Focus your SEO on these long tail keywords

Did you know that intelligent use of long tail keywords can see your blog receive thousands of hits annually? Seeing how simple the process of employing long tail keywords is, you may be tempted to think this is too good to be true. Well the fact is that if you use only one or two variations of your keyword, the results will be dismal as we saw earlier that these long tail keywords will only generate a fraction the traffic the original keyword will bring you. However, if you combine the power of 20 or 40 of these keywords generated by data mining, you can increase traffic to a page by up to 3 times. This besides the targeted traffic you will get from the original keyword. You could be looking at thousands of dollars of revenue as visitors flock to your blog!


About the guest author: Christofer loves to write about latest SEO techniques. He always tries to share his expertise and experience with the newbie bloggers. If you have any questions for him, please use the comment feature.

This is a unique article published on SEO Desk with exclusivity.

One thought on “What Is Data Mining in SEO and How It Applied Successfully on a Weight Loss Website?”

  1. magnificent submit, very informative. I ponder why the opposite
    specialists of this sector do not notice this. You must proceed
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