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Aug31
Keywords, Search Engines, SEM, SEO, Learning and Placement while Giggling at Google
NextStage: Predictive Intelligence, Persuasion Engineering, Interactive Analytics and Behavioral Metrics Regular readers know I'm exploring the world of SEO, SEM, SEMoUsE with some blog posts. This all started with Why my Juanita Bynum post failed to get traction post. The link history is given below.

Today I did a Google search on several keyword combinations. The results are below.

Keyword Position/Total Entries
(Blog Search)
"keywords and search engine placement"
2/33,130
(Blog Search)
"keywords search engines placement"
1/8,005
"keywords, search engines, seo, learning, placement" 3/576,000
"keywords, search engines, seo, learning" 3/1,930,000
"keywords, search engines, seo" 38/2,270,000
"keywords, search engines, seo, placement" 57/1,800,000
"keywords, search engines, placement" 59/2,020,000
"keywords, search engines, learning, placement" 1/689,000
"keywords, learning, placement" 1/1,830,000

Fascinating stuff that begins to form patterns. I'm thinking a cross between pi-impedence matching systems and np-complete algorithms (if that makes no sense, fear not. If it gave you a chuckle, be afraid). Readers from the SEO and SEM world will probably ask, "Why is he doing this? He's reinventing the wheel."

Maybe yes, maybe no. Yes; It's in my nature, when learning something, to become a tabula rasa. My book, Reading Virtual Minds, grew from my thesis, "How We Learn to Learn" and much of that work dealt with efficient ways to tabula-rasize people so they could learn new skills optimally.

No; by starting with first principles I will often discover different methods for achieving the same goals. Sometimes they work better than what goes for best practices, sometimes they don't.

Please contact NextStage for information regarding presentations and trainings on this and other topics.

Links for this post (in historical order):

Upcoming Conferences: Come on by and say hello.

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