: Does a site's bounce rate influence Google rankings? Does Google consider bounce rate or something similar in ranking sites? Background: here at Stack Exchange we noticed that the latest Google

@Heady270

Google is almost certainly using usability signals as a significant factor in the rankings. Google probably doesn't use "bounce rate", at least not as measured by Google Analytics. Instead, Google relies on:


Click through rate (CTR) - The number of people that click from the SERPs to a site is a good indication of whether the site is relevant for the query or not. When a site gets a worse CTR than it should for the position it is in, its ranking will get worse. When a site gets a higher CTR than other sites would at that position, the ranking will get better.
Bounce Back Rate (BBR) - The number of people that click the back button from the site back to the SERPs and then hide the site from their results, click another site, or refine their query. Like CTR, Google is likely to make adjustments when the BBR is much better or much worse than expected.


Bounce rate can usually be used as a proxy to measure your BBR, but there are some limitations:


Bounce rate is measured as the percentage single pageview sessions. Bounce back rate is the number that hit the back button.
Bounce rate includes people who click on external links on your site (including ads), bounce back rate does not.
Bounce rate includes people who close the tab or the browser window, bounce back rate does not.
Some sites provide the full answer that users seek in a single page. Such sites may have high bounce rates, but low bounce back rates.
Bounce rate can be gamed by dividing articles into multiple pages. That tactic hurts bounce back rate.


Furthermore, as other answers have pointed out, Google's Matt Cutts stated that bounce rate is not used to his knowledge as part of the ranking algorithm. He said nothing about bounce back rate (which is subtly different).

I am convinced that Google uses these signals based on my experience with a site on which I was doing the SEO. It was a type of product site. We noticed that we just couldn't get some products to rank for their targeted keywords, despite pouring massive amounts of internal pagerank into them. One pattern that emerged was that the products that were not ranking had less content than the ones that did rank. Content didn't always mean lots of text, we had several type of content:


A list of places to buy the product
Prices from multiple vendors
Reviews written by users about the product
Professional pictures of the product
User submitter pictures of the product
External links to other sites with articles about the product
A map of where the product could be found near you


We realized that many of these types of content would be difficult for Google to measure directly. Did it really know there was a map on the page? Was it trying to detect the presence of prices? All the user reviews were on their own pages, could it really measure the amount of text associated with each product by crawling lots of pages and adding the totals? We theorized that it would be much easier for Google to measure how users react to the page and to adjust rankings on that rather than trying to measure amount of content directly.

First, we made some changes to how our bounce rate was measured. We implemented "events" so that when users clicked on the external links, it would be measured in analytics. We also put in "events" for items like moving the map, and scrolling down the page. We figured that when a user interacts with the page, the shouldn't count as a bounce, even if that user didn't view more than one page on the site.

Then we correlated the bounce rate with the amount of content we had for each product. The results were much more dramatic than we were expecting. For products with no content to speak of, the bounce rate was around 90%. For products with lots of every type of content, the bounce rate was under 15%. Products with some content fell in between. We could use this to see which type of content users found most valuable. We could also put a value on soliciting the tenth user review vs digging up the first external link to an article.

Rankings also correlated very closely with this bounce rate. We needed fewer internal links pointing to pages with very low bounce rate to get them to rank #1 than
pages with moderately higher bounce rate.

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@Karen161

"Off the top of my head, we could leave unanswered questions out of Google's index completely"

Yes and no, IMO, depending on how fast are questions generally answered. All questions aren't answered when posted for example almost by definition (unless the question answered something else ). Maybe make it so if not answered for x days, no-index and ping google to see see the tag and no-index.

Do you have more unanswered questions in the sites that went down?

Google is surely experimenting and some sites have lost even 70% of their traffic since 2/24. Not every one of them is a bad site, you know, just no recovery from panda so far, regardless of what you did to the site.

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@Kevin317

I think that the problem with using bounce rate for ranking is that it doesn't take into account the fact that bounces aren't always a bad thing. This metric needs to be taken in context because there are some sites for which you might want to actually increase your bounce rate!

In fact, as an example, your sites might be that type of site (at least from Google's perspective of providing relevant results to it's users). Take SO for an example - if I'm searching for the answer to a programming question then I don't want to spend a considerable amount of time clicking around looking for an answer. I want an answer as fast as possible so I can return to my work. I would expect Google to return a list of sites that answer my question, not ones that will waist my time.

I think that the bounce rate metric doesn't provide enough information on it's own to be useful in a search engine ranking algorithm. If Google is using it for more than internal analysis (where humans can guess at user intent) then they are making a mistake.

As a side note, going back to the example of a search for an answer to a programming question, do you ever find that the answer to the question is actually in the search results and you don't need to click through to a site at all?

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@Kristi941

This is very likely Google can estimate your bounce rate, if you take into account a new feature that detects when the user is clicking the back button:


Search Google:


Click a search result.
Click back.
Google is showing a new option, "Block all [site] results":




Obviously, that is a guess, but quick back clicks may be good indicators of irrelevant results, and has strong correlation with bounce rate. Note that this fails when the user is opening search results in a new tab, so it may be directed to the less savvy users.

Note the difference between "making another search", which Google should take personally as it displayed irrelevant results, and "returning to the same search", which means that that particular site wasn't suited for this search.

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@Murray432

I manage a site that brings in around 30k pageviews per day. It lost 1/3 of its traffic around April 11th (panda international rollout). The entire domain lost traffic across the board. The overall average bounce rate hovers around 65% (pre-panda was 71%). The hardest hit pages have bounce rates over 75% however. It's an interesting theory.

To google's credit (I hope it's not just a coincidence) bounce rate, avg time on site, and pages per visit all improved after the change.

Side-Note: The other sites I manage were not affected by the algorithm change. Their average bounce rates hover from 52% - 68%. I haven't done analysis on individual pages on those sites since they weren't affected

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@Voss4911412

Per Matt Cutts


Without reading the article [trying to confirm a connection between rank and bounce rates], I’ll just say that bounce rates would be not only spammable but noisy. A search industry person recently sent me some questions about how bounce rate is done at Google and I was like "Dude, I have no idea about any things like bounce rate. Why don’t you talk to this nice Google Analytics evangelist who knows about things like bounce rate?" I just don’t even run into people talking about this in my day-to-day life.


Granted this was back in December 2008, but Matt Cutts saying that bounce rate is not used even a little is fairly definitive in my book, even 3 years on.

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@Kevin317

To the best of my knowledge, the rankings team does not use bounce rate in any way.
  — Matt Cutts, June 2010, Search Engine Land interview


I have an issue with the concept of long/short clicks being used in their ranking algorithm. There are too many scenarios where both short and long clicks occur that are the opposite of what the standard logic would be.

For example, short clicks could occur because:


A user is opening many tabs at once, let's say all ten links on the first search results page, for research of some kind. (Whether that research is SEO or academic is irrelevant). These will all appear as short clicks.
Someone is looking for a particular site and is hopping through results until they find the one they want. Their tome on each site is short not because the site is poorly done, it's just not the one specific site the user is looking for.
This is way too easy to manipulate. If this really was a potential ranking factor it's not hard to imagine black hats short clicking their competitors to serve their own ends. (Naturally this would be automated to produce the quantity necessary to spur Google into action).


Long clicks can occur because:


A user has no idea what they are looking for and spends an eternity on each site looking for it but never finds it (e.g. that site is irrelevant).
A user walks away from their computer or gets side tracked for any reason
Abuse (see above)
A user is Internet-clueless and just takes a long time at each site because they have a hard time using the Internet.


The best way I can imagine this information being used is for personalized search. If someone keeps short-clicking a particular site then it probably warrants being lowered in their personal search results.

As for anecdotal evidence, I have a few dozen client sites I monitor and bounce rate does not seem to correlate to rankings.

As for Google using Google Analytics in their search algorithm, the answer from Matt Cuitts is no.

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@XinRu657

While this question is interesting in the hypothetical sense, it lacks the action-ability part of being practical.

Suppose for a minute, that the answer is yes -Google uses bounce rate for ranking sites -what would you do about it? The only way to reliably increase this metric would be to put artificial blocks between the user, and the answer marked as correct on SO -which would slowly train users to avoid these domains (decreasing the CTR from Google -which is known to be an important metric in relevance sorting).

Hence, my suggestion would be to focus your time & effort on metrics that you can actually work on, rather than double-guessing externalities which aren't under your control.

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