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://ift.tt/1jkpFP8gyhwesaa
Then immediately visits:
http://ift.tt/KBWKqJ
Later User 2 visits
http://ift.tt/1jkpFP9gyhwesaa&x=15&y=19
Then immediately visits:
http://ift.tt/KBWKqJ
Later user 3 visits
http://ift.tt/KBWJmogyhwesaa
Then immediately visits:
http://ift.tt/KBWKqJ
Later user 4 visits
http://ift.tt/1jkpFPcgyhwesaa
Then immediately visits:
http://ift.tt/KBWKqJ
Later user 5 visits
http://ift.tt/KBWKGYgyhwesaa
Then immediately visits:
http://ift.tt/KBWKqJ
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?
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