Clicksteam For Dummies: How The Ranking Factor Works

Since the majority of people can’t seem to figure out how clickstream data could be used as a Search Engine Ranking Factor, without even scraping the actual page, I’ll give you a hint.

Actually, a pop quiz. Here’s what you know:

User 1 Visits:

http://duckduckgo.com/?q=gyhwesaa

Then immediately visits:

http://www.amazon.com/JL421-Badonkadonk-Land-Cruiser-Tank/product-reviews/B00067F1CE/

Later User 2 visits

http://www.amazon.com/s/ref=nb_sb_noss?url=search-alias%3Daps&field-keywords=gyhwesaa&x=15&y=19

Then immediately visits:

http://www.amazon.com/JL421-Badonkadonk-Land-Cruiser-Tank/product-reviews/B00067F1CE/

Later user 3 visits

http://www.redtube.com/mostrelevant?search=gyhwesaa

Then immediately visits:

http://www.amazon.com/JL421-Badonkadonk-Land-Cruiser-Tank/product-reviews/B00067F1CE/

Later user 4 visits

http://www.implantinfo.com/photocenter/visitors/vis_search_comment.aspx?HasComments=y&Comments=gyhwesaa

Then immediately visits:

http://www.amazon.com/JL421-Badonkadonk-Land-Cruiser-Tank/product-reviews/B00067F1CE/

Later user 5 visits

http://www.myspace.com/search/People?q=gyhwesaa

Then immediately visits:

http://www.amazon.com/JL421-Badonkadonk-Land-Cruiser-Tank/product-reviews/B00067F1CE/

Later, you have a user use your search engine and types in gyhwesaa.

Your 20 billion page index of pages does not include the word gyhwesaa anywhere. None of your other signals reveal anything about the phrase.

What do you give the user as a top result?