Google has introduced Google Suggest in 2012. Google Suggest is typically used as a live feature while a user is typing a search phrase into the browser or google website. Google Suggest uses the organic search input of billions of users and try to "guess" that way what a user might be searching for even before he completed entering the query or all the words of a keyword phrase.
This keyword tool was built on a custom database we have compiled over the past four years. We researched data from the (now defunct) Google Search-Based Keyword Tool and also looked at a few more recent data snapshots to refresh the database and enhance our keyword coverage. Our database contains 28,527,279 keywords representing 13,762,942,253 monthly searches. Our database is primarily composed of English language keywords.
Settings. This tiny gear icon on the right upper corner is where you can ask support for “Help”, toggle on or off the help icons; manage “User Accounts” (you need to enter your Google AdWords credentials when the software is run for the first time plus your Moz API details too, which are free to get since LTP uses a both AdWords and Moz’s data); set the “Data Fetching Speed”; and check the “Show Runtime Error” and “Show Debug Panel” in the “Debug” section (which can be very helpful when there’s something wrong with the tool or with your Google AdWords account).
Finding the best keyword research tool also depends on your own experience with SEO subjects such as buying keywords, long tail content, long tail SEO and using low competition keywords. For instance, a newbie looking to use long tail marketing may find something like Long Tail Pro V3 a little too confusing and a bit expensive as it’s a monthly fee and has a confusing interface.
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.
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.
It's wonderful to deal with keywords that have 5,000 searches a day, or even 500 searches a day, but in reality, these popular search terms actually make up less than 30% of the searches performed on the web. The remaining 70% lie in what's called the "long tail" of search. The long tail contains hundreds of millions of unique searches that might be conducted a few times in any given day, but, when taken together, comprise the majority of the world's search volume.
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