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The Google Keyword Tool has a variety of helpful features meant to streamline the keyword research process. By entering terms or phrases into the search box, the Keyword Tool allows you to build extensive, relevant keyword lists from one simple interface. By default, the tool displays Advertising Competition, Global Monthly Searches, Local Monthly Searches, and Local Search Trends for each keyword. Additional options allow marketers to show the estimated Average Cost per Click, Ad share, and Search Share.

But if you’re serious about content and inbound marketing, and you want to create great industry-related blog posts that lead to more traffic, leads, and sales–then you should at least give it a test drive (assuming you need content ideas). Like I said, it comes with an excellent guarantee, and you can visit the site here or click the image below to watch more videos regarding this impressive tool.
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.
One of the most important aspects of an effective SEO strategy is the ability to research, analyze, and ultimately select the keywords that are most likely to result in success for your clients. There are a variety of free tools available on the web specifically designed to help online marketers do just this. Each tool has its own unique methodology for collecting and presenting this data. Comparing any of the tools’ results without knowing the subtle differences can lead to incorrect inferences and an SEO strategy based on misinformation.
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."
As you can see, LongTailPro is pulling data from Google Adwords. WHAT?! So LTP uses a mix of their own massive data (launched in 2011) and data pulled via API from Majestic.com, Moz.com, and Google Adwords (http://adwords.google.com). Once you input your seed keywords, LongTailPro outputs suggested keywords related to your seed keywords, search volume, Adwords suggested bid, Adwords competition, total words, rank value, average keyword competition, language searched, and location searched.
Keyword research is a practice search engine optimization (SEO) professionals use to find and research alternative search terms that people enter into search engines while looking for a similar subject. Search engine optimization professionals research additional keywords, which they use to achieve better rankings in search engines. Once they find a niche keyword, they expand on it to find similar keywords. Keyword suggestion tools usually aid the process, like the Google Ads Keyword Planner, which offers a thesaurus and alternative keyword suggestions or by looking into Google Suggest.[1]

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.
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