Google's New Detection Factor - Revealed

PartyNeon

PartyNeon

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After carefully analyzing the analytics for a dozen sites, I am convinced that Google is analyzing time on site, in comparison to your competitors, to penalize sites that don't belong in top rankings.

Googles Logic:
Time on site is the ONLY "black hat proof" factor that they can analyze. If you are sitting 3rd for a keyword with a 15 second time on site, but the sites in 4th and 5th average 2 minutes for that SAME KEYWORD, they deserve higher rankings.

How does google test time on site?
Simple. They can get time on site from checking how long it takes a user to return back to the search result page. When you bounce off a website, you usually click the back button and click the next result in the listing, dont you? When a user finds the site they are looking, they take a long time to return back to google. GOOGLE HAS THIS DATA!

My Proof:
I own 14 websites across 4 niches. (Multiple sites rank for the same keywords). I build similar links to all the sites, you would expect them all to bounce in a similar manner. While some dropped, others held solid. I graphed correlation to ranking changes in Excel, and plotted a bunch of factors, time on site, bounce rate, PageRank, Domain age, and 118 others. I used Spearman correlation, and found that time on site has an extremely high correlation to ranking changes.

How you can help:
Check your analytics. Verify that the keywords with the least time on site are the ones that dropped the most. See if those keywords that have a long time on site stayed relatively solid, even if they had less backlinks.
 
Last edited:
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I have not installed the google analytics in my site , Call me paranoid i don't want google to acess my sites data by installing there code to my site I am using statcount and satisfied with it
 
PartyNeon said:
After carefully analyzing the analytics for a dozen sites, I am fully convinced that Google is analyzing time on site to penalize sites that don't belong in top rankings.

Can everyone check their analytics and verify that the keywords with the least time on site are the ones that dropped the most in the rankings. Those keywords that have a long time on site stayed relatively solid, even if they had less backlinks.

Please verify this factor!
Click to expand...

Cool, my average time on site is over 7 minutes...
It still dropped across several keywords.
 
My highest converting keywords stayed solid. My flagship traffic keywords that convert less, dropped. I am FULLY convinced that they rolled out time on site. I just wish I had more than 14 sites of data.
 
i dont install Analytics or Adsense or any google product on my site. How do they know average visit time ?
 
I don't use Analytics at all and I dropped severely across almost every kw.

IMO they're placing a heavy value on who the site is designed for; search engines or people. You really need to be careful with your kw density and anchor text now, because it looks to me like they are looking very closely at how your site is structured and whether it makes sense for it to be structured that way for humans.

My main site was built mainly for search engines, things like having the kw in the page name/slug (so "Keyword Videos" as opposed to "Videos") and it has dropped drastically on well over 50+ ranking kw's. Two other sites of mine which were not built in this way have in fact gone up in ranking.

Just my 2c
 
They can get it from people using Chrome, Android, or if you've got other stuff like AdSense running on the site, etc.
 
They can get time on site from checking how long it takes users to return back to the Search Page. When you bounce off a website, don't you click the back button and click the next result? If you found a site you are looking for, you probably NEVER return back to the SERPS.
 
I believe that you make your test before get to this conclusion but I have my doubts.

First because not all the people that surf on the net use the back button to get back on the search, me for example I always open a page in a new tab and keep the search tab open.

Second G use well establish algorithms that can use data in any situation. So I do not thing it can rank up or down an website based on a visitor way of surfing that can be relative, more than that this behavior can be different depending of the intelligence and how comfortable a person are with the tools that he use for browsing.

I know statistics drive you to this conclusion but some times may be just a coincidence.

Any way thank you for sharing.
 
Last edited:
bobgoe said:
I have not installed the google analytics in my site , Call me paranoid i don't want google to acess my sites data by installing there code to my site I am using statcount and satisfied with it
Click to expand...
Google analytics are free but statcount after 250,000 Page load charge €4 .
 
I use GA and i've seen good results from it :) Let G see, i have nothing to hide on a regular white hat website with quality information. Average time spent per visitor: 3 minutes which i think it's great :) Nice info op
 
That time Shit doesn't worked, my have average time of 5/min an a bounce rate from 19% and my rankins all drops from first page to nowhere, and my site was not a MNS site I hade 2100 pages indexed with about 25.000 pageviews per day
 
I think it's safe to say it is a multitude of factors causing the site ranking "problems".
 
Ok then explain why this site is on page 1 for "make money online" makemoneyforbeginners.blogspot.com

I mean seriously, how long can you stare at 1 word on 1 page with no images or videos?

I call BS on this "test"...

PartyNeon said:
After carefully analyzing the analytics for a dozen sites, I am convinced that Google is analyzing time on site, in comparison to your competitors, to penalize sites that don't belong in top rankings.

Googles Logic:
Time on site is the ONLY "black hat proof" factor that they can analyze. If you are sitting 3rd for a keyword with a 15 second time on site, but the sites in 4th and 5th average 2 minutes for that SAME KEYWORD, they deserve higher rankings.

How does google test time on site?
Simple. They can get time on site from checking how long it takes a user to return back to the search result page. When you bounce off a website, you usually click the back button and click the next result in the listing, dont you? When a user finds the site they are looking, they take a long time to return back to google. GOOGLE HAS THIS DATA!

My Proof:
I own 14 websites across 4 niches. (Multiple sites rank for the same keywords). I build similar links to all the sites, you would expect them all to bounce in a similar manner. While some dropped, others held solid. I graphed correlation to ranking changes in Excel, and plotted a bunch of factors, time on site, bounce rate, PageRank, Domain age, and 118 others. I used Spearman correlation, and found that time on site has an extremely high correlation to ranking changes.

How you can help:
Check your analytics. Verify that the keywords with the least time on site are the ones that dropped the most. See if those keywords that have a long time on site stayed relatively solid, even if they had less backlinks.
Click to expand...
 
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