I also hang out in SEO forums and groups and see KC scores tossed around and talked about and pretty much everybody is on the same page. Most agree that you can’t completely rely on the KC score (there are a few factors that can’t quantitatively be measured with a number) – but that the KC score is a VERY good indicator of the competition level for specific keywords. The following diagram realistically shows exactly what to expect from certain KC scores…
A very popular and highly competitive keyword on Google search engine is "making money." It has 85,300,000 search results, meaning that millions of websites are relevant or competing for that keyword. Keyword research starts with finding all possible word combinations that are relevant to the "making money" keyword. For example, a keyword "acquiring money" has significantly fewer search results, only 61 000 000, but it has the same meaning as "making money." Another way is to be more specific about a keyword by adding additional filters. Keyword "making money online from home in Canada" is less competitive on a global scale and therefore easier to rank for. Furthermore, keywords also have various intents which can affect whether the marketer would want to target that keyword. Multiple tools are available (both free and commercial) to find keywords and analyze them.
We’re not here to dwell on the good and the bad of Google’s decision. I personally am elated that this debate has brought the crucial SEO function of Keyword Research into the limelight once again. There’s more to it than taking the first 10 results from the Google Keyword Tool and scattering them left, right and center in your content. Savvy keyword research is what separates strategists from headless chickens.
These 3 keyword matching options are not solely to blame for the large variations seen when comparing data from the keyword tools. Much of this difference can be attributed to the distinctive techniques that the tools use to collect their data. Let’s take a look at how these tools collect and present their data and hopefully it will help clear up any confusion.
Keyword Overview looks at the entered term on its own and addresses expected searches per month, the difficulty of competing against Page 1 results for the same term, a rough estimate of organic click-through opportunities (versus paid ads and non-organic positions on the search engine results page), and the perceived priority that the user should assign to optimization for this term, where the higher the score, the higher the demand and a lowered level of competition.
How do I research keywords? This is a common question I get from clients. And my immediate response is… Long Tail Pro! With the update to Google Adwords Keyword Planner (rendering it near worthless) without paying for Google ads and to test actually search volume for keywords, the generic Avg. search volume range they provide gives you ZERO actionable data! See example below:
Bing Webmaster Toolbox: Oh yeah, remember that other search engine? Yes that’s right Bing has a whole collection of tools of their own, including keyword tools. The data will be taken from Bing itself, which means that you should be able to make relative assumptions about keyword popularity. because lets face it, Bing users aren’t that different than Google’s.
Taking this site as an example, “home working” is a pretty important keyword. I’d love it if I could be at the top of Google for that phrase. However, despite pouring heart, soul and a great many man-hours into creating a useful resource for home workers, I’m not yet anywhere near the first page of Google’s search results. (I’m actually languishing depressingly on the 11th page of results at the time of writing!)
It would be great if you can provide comparative analysis of this tool with Google Keyword Planner. Since you’re using this tool so you can provide best comparison. One differentiation which I understood is that this tool works for yahoo and bing as well whereas Google keyword planner works only for Google but Google being a dominating search engine, gives the highest returns, so only this reason may not be enough to buy it.