I hope it’s easy enough for you to clearly see how pretty much any website page or blog post can be slightly modified in order to get optimized around a certain keyword. For the Busy Budgeter example – Rosemarie could easily write a brand new article – or change the title of an existing article that is already written on a similar topic, add some subheadings and a few paragraphs and have it optimized for this really low competition keyword. A keyword like this will likely bring in new visitors month after month – and Rosemarie could direct readers of that article to some of her ‘make money online’ tutorials that we already know are very profitable for her!
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.
Understandably – not everybody who buys Long Tail Pro will have the audience or platform to be able to promote as an affiliate. For example – a food blogger’s audience won’t care about a keyword research tool. So even if affiliate promotion won’t work for you – I hope I’ve shown how the tool will more than pay for itself if used for what it is intended for.
The WordStream suite of Keyword Tools is an integrated and actionable set of keyword tools designed to help search marketers with keyword search, keyword suggestion, keyword grouping, PPC keyword research, keyword analysis, long-tail keyword research, and negative keyword discovery, going beyond the capabilities that a typical free keyword tool can offer.
Search Analytics can be found under the 'Search Traffic' section and provides details of the keywords that drove clicks to your website, based on data for up to the last 90 days. The difference with Google's version is that you can filter the data to put extra context around the keywords, such as filtering by country to see keyword popularity based on country, which can be useful when carrying out keyword research for websites that service more than one country.
Customize the data that LTP is going to fetch with pre-filters like “Suggested Bid” (or Cost per Click [CPC], i.e. the amount of money an advertiser is willing to pay for a click on their AdWords ad that is targeting that specific keyword), “Local Search Volume” (average number of monthly searches for a specific keyword), “Advertiser Competition” (the amount of advertisers competing for a specific keyword) and “Number (of) Words” (very important when you’re trying to find long-tail keywords).
Am I worried that my keyword research might not be effective since I only look at the KC score? No. Not really. Because I tend to target only the longer tail keywords these days. I don’t go after the huge main keywords anymore. They’re too hard to rank for. But long tail keywords are really easy to find with Long Tail Pro and they are usually much easier to rank for.
This is slightly more complicated than it used to be, because you have to actually create a live AdWords Campaign as part of the process! This puts many people off, as it looks as if you have to actually advertise in order to use the tool. You don’t — you can just setup the campaign and then pause it before it runs so you don’t have to spend a penny.
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.
For the first few months, there was certainly a transition period. However, the new team was able to take over the reigns fairly quickly. A big reason for the quick transition is because I had automated most of the business already. So, the fact that I was stepping away didn't make a huge difference since all the sales, marketing emails, and many other details were already happening on an automated basis.