Because great content requires a deep understanding of the main idea (e.g., “ac repair houston”) and the supporting subtopics that require coverage (e.g., “central ac vs portable ac systems”) and the common issues that users seek answers for (e.g., “freon,” “refrigeration loops,” “coolant refills,” “troubleshooting”), the effectiveness of a keyword reporting tool is only as strong as the SEO pro using it.
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.
Great Top 10 keyword research tools list. Thank you for posting Robbie! I really appreciated the feedback from the experts. There are a definitely a few tools here worthy of taking note of. I have also been using DYNO Mapper (http://www.dynomapper.com) as a keyword research tool. DYNO Mapper is a visual sitemap generator that delivers keywords on all pages of any site. The user simply inputs any existing URL into the system and it will scan thousands of pages.
So what exactly is Keyword Competitiveness (KC)? It’s only the feature within Long Tail Pro that completely changed the game and made keyword research so ridiculously simple that even a dumb truck driver like me could become an expert! It basically works like this. As soon as you click the button in Long Tail Pro Cloud to retrieve keywords, it automatically calculates a number for each keyword (between 1 and 100) based on several different SEO factors. Lower numbers mean the keyword is easier to rank for and higher means it is harder to rank for. More on that below…
Understanding the balance of terms that might be a little more difficult due to competition, versus those terms that are a little more realistic, will help you maintain a similar balance that the mix of long-tail and head terms allows. Remember, the goal is to end up with a list of keywords that provide some quick wins but also helps you make progress toward bigger, more challenging SEO goals.
I love Moz’s interface and how they give you data on the keywords. It’s easy-to-read, making it an ideal solution for both experts and newbies alike. They’ll show you both numeric and visual representations of a keyword’s monthly search volume, its opportunity for ranking, priority, and difficulty. They’ll also show you keyword suggestions and SERP analysis, which is fantastic and detailed.
Here is the part of this post that we’ve all been waiting for. How to make Long Tail Pro pay for itself! I can tell you with absolute certainty that all of this isn’t just fluff designed to try to get you to buy the product. I’ve actually done all 4 of these things – and I continue to do the top 3 to this day! This stuff really works and I make WAY more than enough money, as a result of using Long Tail Pro, to pay for itself.
How do I research keywords? This is a common question I get from clients. And my immediate response is… Long Tail Pro! With the update to Google Adwords Keyword Planner (rendering it near worthless) without paying for Google ads and to test actually search volume for keywords, the generic Avg. search volume range they provide gives you ZERO actionable data! See example below:
You can try DeepMiner. It is good for scrapping, rank position, generating long tails and keyword suggestions. You can export the data to document for later analytics. You can find popular keywords that people are searching for. 7 major engines are supported, Google, Yahoo, AOL, Amazon, YouTube, Ask, Bing. It supports multi-threading so it is very very fast scrapper. BTW you must use proxy list if you plan to scrap thousands and thousands of keywords.
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.