But it’s still very useful for getting search volume data (provided your account still shows this), which is helpful when choosing which of the many keywords you’ve found to focus on (although you should take these estimates with a pinch of salt, they are still useful in indicating the relative search volumes of different keywords, even if the absolute estimates are a little off).
So whilst Long Tail Pro has just continued to grow in revenue every single year and comes highly recommended, you may want to check if all the important features are fully functioning before signing up. Especially the KC feature (keyword competitiveness) as it is so fundamental to keyword research and making an informed choice on whether or not to go into a particular niche.
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.
These are usually single-word keywords with insane amounts of search volume and competition (for example, “insurance” or “vitamins”). Because searcher intent is all over the place (someone searching for “insurance” might be looking for a car insurance quote, a list of life insurance companies or a definition of the word), Head Terms usually don’t convert very well.
Curious if you’ve found a way to efficiently find underperforming keywords? Currently I have to manually click on each and every keyword to calculate it’s Keyword Competitiveness. Frustrating clicking it hundreds or even a thousand + times. I’d rather just add it as one of the scan settings and wait 8 hours for it to run all 1000 than having to manually click them for an hour and then waiting…
Update: I’ve now been using Long Tail Pro for 5+ years. There are now many different keyword research tools and lots of people prefer some of the newer tools. Admittedly – Long Tail Pro had some hiccups and went through some rough times as they transitioned ownership and introduced the newer cloud version. But – all of the bugs and kinks have been worked out and Long Tail Pro is now better than ever! I’m happy and proud to be able to continue to use and promote Long Tail Pro as my keyword research tool of choice.
Making a list remains hard. And up until a few years ago, doing your keyword research was much easier. You could simply check Google Analytics to see which terms people used to find your website. That is no longer possible. So you’re pretty much left in the dark about the terms people use in search engines to end up at your website. Luckily, there are some other tools which can make your keyword research a bit easier, and could help you speed up the process a bit:
The Google Keyword Tool is SUPER helpful for building a foundation for your keyword research strategy. At the end of the day, these search numbers are coming straight from the horses mouth. You can filter down to a hyper-local level and see which keywords are getting the largest search volume. Plus, with it’s integration with PPC you can get a quick idea about commercial intent by looking at the bid and competition metrics. How much are people bidding on KWs, higher = more likely to generate a return. Usually its aligned with search intent. That said, the trending data is a little less reliable. I would still use Trends to analyze the popularity/ seasonality of KW search volume.
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.