Earlier, I wrote a post about the use of long tail keywords. Focusing on long tail keywords could be a good strategy, especially when trying to rank in a highly competitive market. But how do you decide on which (long tail) keywords you want to rank? This post will give you some handy tips and keyword research tools to make your keyword research a bit easier.
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.
If you're a regular blogger, these are probably the topics you blog about most frequently. Or perhaps they're the topics that come up the most in sales conversations. Put yourself in the shoes of your buyer personas -- what types of topics would your target audience search that you'd want your business to get found for? If you were a company like HubSpot, for example -- selling marketing software (which happens to have some awesome SEO tools ... but I digress ;-) -- you might have general topic buckets like "inbound marketing," "blogging," "email marketing," "lead generation," "SEO," "social media," "marketing analytics," and "marketing automation."
Now that I’ve been using Long Tail Pro for several years to successfully find great keywords – I can confidently tell you that Long Tail Pro will more than pay for itself if you use it properly. Whether you are a blogger, a niche site creator, an affiliate marketer or even just an article writer – doing proper keyword research will help you be more profitable. Doing proper and effective keyword research with Long Tail Pro is super fast and easy. It’s so easy in fact – that it’s not hard at all to offset the cost of the software by putting it to work for you. And I’m going to show you how within this post.
Within the results, Long Tail Pro inserted several more keywords based on that suggestion and automatically calculated all relevant stats (including KC Scores). It only took me a few seconds to scan those results and see a great long tail keyword – legitimate work from home jobs with no startup fee. This exact keyword gets 210 monthly searches and has a KC Score of only 25! Rosemarie could easily write an article for her Busy Budgeter site that is optimized for this exact keyword and she should be able to rank in Google somewhat easily.
I just downloaded a free version of LTP 3.1.0 and I cannot figure out why I can’t see the table headers of ‘Page Authority’, ‘Domain Authority’, ‘Juice Links’, etc next to ‘Keyword Competitiveness’. Normally, I should be able to see these but instead I see new categories like ‘Trust Flow’, ‘Citation Flow’, ‘Domain CF’, ‘Domain TF’ and so on. I thought I can still use the regular version of LTP for 10 day trial so I am not sure why I see different categories. Is it b/c I am on version 3.1.0 instead of 3.0? Let me know if you have any idea.Thanks!
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.
I’ve got to say thanks for the introduction to Long Tail Pro, It’s because of this review that I even came across it in the first place, I’ve been testing it out for the past few days and it’s awesome. Already found some “low hanging fruit”, though I do still prefer Niche Genetics for the organic listings. This has easily replaced using Google’s keyword planner and a note pad. Thanks again 🙂
And so on and so on. The point of this step isn't to come up with your final list of keyword phrases -- you just want to end up with a brain dump of phrases you think potential customers might use to search for content related to that particular topic bucket. We'll narrow the lists down later in the process so you don't have something too unwieldy.
After the Panda update rolled out, the latent risk in such a strategy could (typically would) vastly exceed the direct cost of the content, as poor pages on one part of a site could drag down the ranking of other pages on the site which targeted different keywords. Some sites have seen their search traffic fall over 90% with their ad revenues falling even faster. Demand Media went from being worth a couple billion to tens of millions of Dollars. ArticlesBase.com sold on Flippa for $80,000, but was making over $500,000 PER MONTH in profit before getting hit by Panda. Many other Panda-torched sites like Suite101 have simply went offline.
Most keyowrd databases consist of a small sample of the overall search universe. This means keyword databases tend to skew more toward commercial terms and the core/head industry terms, with slighlty less coverage of the midtail terms. Many rarely searched for longtail terms are not covered due to database size limitations & lack of commercial data around those terms. Plus if those terms were covered, there would be large sampling errors. Google generates over 2 trillion searches per year and claims 15% of their searches are unique. This means they generate searches for over 300 billion unique keywords each year. The good news about limited tail coverage is it means most any keyword we return data on is a keyword with some commercial value to it. And with Google's Rankbrain algorithm, if you rank well on core industry terms then your pages will often tend to rank well for other related tail keywords.
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.