The only problem is that you can’t possibly laser-target every ad to the search query, and your landing page will definitely not be as targeted as it could be either. Not even dynamic keyword insertion (DKI) would help, because who wants to click on an ad with the headline of just “Bounce House”? Let’s just say it gets tricky, and you’re a little lazy if that’s all you do.
It's wonderful to deal with keywords that have 5,000 searches a day, or even 500 searches a day, but in reality, these popular search terms actually make up less than 30% of the searches performed on the web. The remaining 70% lie in what's called the "long tail" of search. The long tail contains hundreds of millions of unique searches that might be conducted a few times in any given day, but, when taken together, comprise the majority of the world's search volume.
Google has introduced Google Suggest in 2012. Google Suggest is typically used as a live feature while a user is typing a search phrase into the browser or google website. Google Suggest uses the organic search input of billions of users and try to "guess" that way what a user might be searching for even before he completed entering the query or all the words of a keyword phrase.
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.
"This is the only keyword research tool that I recommend. The ideas, inspiration, and content longtails you will get for your niche topic are going to result in you producing a page of content that is more than going to pay for this tool. And as they are Google's database then we KNOW that these terms are being searched by a decent volume of peeps every month. It's a goldmine dudes."
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.
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.
Following a very busy (and lucrative) 2015, I’ve decided to take the majority of 2016 off and use the time to invest in various relationships and things that really matter in the long run. But in the midst of this “time off,” I’ve learned so many lessons and picked up new skills and seen new perspectives that I would never have been exposed to had I just kept on grinding away at the existing business.
I want to share how and why I sold the company in order to both educate and inspire potential software entrepreneurs. I certainly don't know everything and obviously companies sell for much more than I sold Long Tail Pro for (I won't be featured in Tech Crunch anytime soon); however, I'm willing to share what I have learned and hopefully that can be beneficial to a few of you.