Usually, the various search engines provide their own keyword suggestion tools, which also include the number of searches for each of those keywords. The keyword researcher uses this information to select the correct keyword, depending on the SEO goals of the website. Around 20–25% of searches are very specific long tail keywords entered into Google every single day. It's easy to rank said keywords when there is the right amount of content and backlinks to match. Keyword research is a valuable and high return activity in the search marketing field.
Once I have a list of phrases, rankings, and volumes from these tools, I'll look to internal tools (maybe Excel, Access, or another database) to organize, classify, and forecast opportunity. This is where I'll estimate a competitor's traffic based on volume & position CTR, set goals for a target position, and estimate traffic based off that position's CTR and keyword volume.
So what exactly is Keyword Competitiveness (KC)? It’s only the feature within Long Tail Pro that completely changed the game and made keyword research so ridiculously simple that even a dumb truck driver like me could become an expert! It basically works like this. As soon as you click the button in Long Tail Pro Cloud to retrieve keywords, it automatically calculates a number for each keyword (between 1 and 100) based on several different SEO factors. Lower numbers mean the keyword is easier to rank for and higher means it is harder to rank for. More on that below…
Successful SEO requires multiple interrelated activities on all fronts: competition, keywords, link building, on-page and technical optimization. It creates a need for diverse tools, which is expensive. SEMrush solves this problem with an award-winning all-in-one toolkit that includes 17 tools covering all SEO fields. We’ll walk you through your SEO workflow, explaining how to get the most out of our toolkit.
Recently I had a dilemma with one of my projects, it is related to ecards and many people still using word “cards” instead of “ecards” but Google Keyword Planner and some other tools showed almost the same information for both keywords. At the same time I did not want to have many words “cards” and “ecards” on the landing pages. Semrush helped very much. I found correct data and made a nice PPC campaign.
The final sales price was based on a multiple of trailing 12 months net income (i.e. The average net income over the most recent 12 months). I feel like I got a very good multiple. I had talked to the brokers at FEinternational, Quiet Light Brokerage, and had viewed sale history of other similar companies, so I know the price I received was very competitive.