Google Suggest isn’t exactly a tool, but I’ve found that it can be useful for identifying potential keywords. As you type a query on Google.com, Google Suggest recommends search queries based on other users’ search activities. These searches are algorithmically determined based on a number of purely objective factors (including popularity of search terms) without human intervention. The Suggest dataset is updated frequently to offer search queries that seem to be trending upwards. This feature is largely one of the reasons that you may see repeat traffic of seemingly long tail keywords. By identifying these long tail keywords and optimizing for them, marketers can capitalize on seemingly obscure keywords with little competition.
How do I know that the KC score measures competition accurately? When I first started using the KC feature – I didn’t know for sure. But I’ve been using it since December of 2012. I’ve published literally hundreds of different articles (in different niches) around keywords with low to medium KC scores and I have a pretty good feel for the accuracy. More than 5 years of successfully ranking for low competition keywords has convinced me to completely trust the KC scores that are calculated within Long Tail Pro.
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.
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.
4. Set post-search filters. After your keyword suggestion fetch is completed — which might take a while if you input a lot of seed keywords — you need to filter your list. You can: filter out keywords that don’t include buyer modifiers like “best”, “buy”, “purchase”, “discount”, “review” (it’s possible to input one or more words in the filter field at the same time: just separate the words with a comma); add a minimum and maximum amount of LMS; set a minimum amount in “Suggested Bid”; and check for only high “Advertiser Competition” keywords.
6. Filters. On the top area of the main pane, you can find the “Filters”. These will allow you to filter your keyword suggestions list in real time. Just start typing and your list will be filtered accordingly. You can filter for “Keywords” (to only show keywords that include a specific word or words); “Suggested Bid” & “Local Searches” allow you to enter minimum or maximum values; “Advertiser Competition” (this comes in handy, because the higher the competition the more money there is to be made if you target that keyword); “Avg. Amazon Reviews” (a neat feature for those who sell products on Amazon or have an Amazon FBA business — less reviews equal less competition, hence more chances to rank on top of Amazon’s product search pages); “Avg. Keyword Competitiveness” or “KC” is Long Tail Pro’s proprietary metric that calculates how hard it is to rank for a keyword in a range from 0 to 100 — 0 being no competition and 100 impossible to rank for. All of these filter columns can be used to sort the keyword suggestion list as you prefer.
2) Software project no 2 – invite your readers to participate and select 2-5 that will enter a mastermind group with you – and let the readers follow the progress – from brainstorming to hiring a coder, to beta testing, to “how to reach out to get sales” (I know you wrote a post on this – but would be great to tag along). And then those that are not part of the Mastermind group could be added to a forum/FB group and can then follow along and develop and ask each other for help.
I was paid approximately 2/3 of the funds upfront and will receive about 1/3 over the next 2 years. It's now been almost 7 months since we closed the deal, and I've received the first couple of seller financing payments for that final 1/3 on time and am very confident that will continue for the next year and a half until I'm fully paid that final portion.