Standard Metrics Revisited: #3: Bounce Rate
When Ann asked me to start writing for Marketing Profs Daily Fix I was all excited and quickly wrote a article on a web metric that has enamored me recently, bounce rate. Unfortunately, as readers of this blog are well aware, I wrote too much. The nice thing is now weeks later I can post the whole thing here!!
This post is a expanded version of the Marketing Profs article (link: Bounce Rate: Sexiest Web Metric Ever?). It is updated, it has two additional best practices and more context at the end.
[For those of you who attended the all day Google Conversion University web analytics education seminar there is lots more detail here - there was so much more I wanted to cover last Wednesday!]
It is quite likely that your company is spending tons of time, energy, and dollars on web marketing efforts yet conversion rates (or ROI) are stuck in the two to three percent range.
You are trying really hard to figure out how to improve the performance but you are stymied by the fact that there is ton of data and you have no idea where to start.
Ms. Bounce Rate to the rescue!
Bounce rate is a beautiful way to measure the quality of traffic coming to your website. It is almost instantly accessible in any web analytics tool. It is easy to understand, hard to mis-understand and can be applied to any of your efforts.
So what is this mysterious metric? In a nutshell bounce rate measures the percentage of people who come to your website and leave “instantly”.
Thought about from a customer perspective rather than I came, I saw, I conquered, the action is I came, I saw, Yuck, I am out of here.
Your marketing efforts should yield more customers who are able to conquer (accomplish the task they are there to accomplish) and fewer who say yuck and leave.
Bounce rate measure quality of traffic you are acquiring, and if it is the right traffic then it helps you hone in on where/how your website is failing your website visitors.
Definition:
It is usually measured in two ways:
- The percentage of website visitors who see just one page on your site.
- The percentage of website visitors who stay on the site for a small amount of time (usually five seconds or less).
I am a bit more aggressive in my analysis and so I personally prefer the latter definition (using time). But either definition is fine, each has its own slight nuance. Please check what your tool’s definition is and make sure you understand it and communicate it to your data consumers.
So how can you use it?
#1: Measure the bounce rate of your website.
This will help you understand what percent of your website traffic is actually engaging with your site (i.e. you don’t have a chance of success with all your site traffic!).
This IndexTools report shows that approximately 70% of the site traffic above is bouncing. This 70% won’t even give you five seconds, or see more than one page. You can’t even start to impress them with your goodness. No matter how great your goodness is.
There are two exceptions: 1) You have a one page website 2) Your offline value proposition is so compelling that people would see just one single webpage and get all the information they need and leave.
If you don’t fall into those two categories you need to pay very careful attention to this metric.
Action: You’ll understand better why your conversion rate is so low, if you have made changes over the last x amount of time then watching a trend of bounce rate is a sure way to know if the changes you are making are for the better.
#2: Measure the bounce rate for your traffic sources.
Your goal is to figure out if some sources of traffic are sending you particularly terrible traffic compared to others. In your web analytics tool simply go to the Referring URL’s / Sites report and take a look, you’ll find something like this……

For this site Google Analytics illustrates that both myspace.com and simplyhired.com is not sending great traffic, while their direct marketing campaigns (#2 and #3 above) seem to be doing much better.
Action: Do you need to revisit relationships with sites that are not sending you high quality traffic? What is the call to action that is causing people to come to your site and bounce? Are your email, affiliate, other marketing campaigns yielding low bounce rates? You get the idea.
#3: Measure the bounce rate of your search keyword.
Search engines are king and hence probably sending you a large chunk of your traffic. Find out the quality of traffic coming from the search engines. In addition to looking at just the aggregate levels (the row marked Total in below report) also look at each key phrase……
In this ClickTracks report notice that each key word / key phrase performs differently, and it also differs by search engine. Sweet actionable information. Instantly useful!
Action: When you create SEO and SEM campaigns ensure that your team has this data. In this case either you have nothing to do with competitive intelligence (hence 90% bounce rate) or that traffic is landing on the wrong pages. Also it is easy to take a dump of top keywords and bid on them with PPC campaigns, the table above will ensure you don’t bid on the wrong ones.
#4: Measure bounce rate of your AdWords, AdCenter, YSM (PPC) campaigns.
In my humble experience this is one piece of analysis most agencies and companies overlook when doing paid search campaign analysis.
Sure we measure conversion and roi and revenue, but are you measuring bounce rate for your PPC campaigns? Remember you can only convert if people are staying for more than five seconds on your website (or see more than one page)!

This screenshot from Google Analytics shows the bounce rate of traffic on each keyword compared to site average, very cool view. Sadly most traffic for this time period is performing worse than site average (so literally you could be sending money down the, well you know what).
Action: First, stop bidding on those keywords, then do a deeper analysis of how good your landing pages are, and your other campaign attributes (maybe your campaign for refrigerators is being targeted to people only in the great state of Alaska!).
#5: Measure bounce rate of your top trafficked pages.
It is entirely possible that your efforts are stellar (as they usually are!) but it is your website that is letting you down. There is what to do to make your case…..

What pages are bouncing traffic like a perfectly formed elastic material and which are great at welcoming traffic with open arms into your website? Pull up the above report in your web analytics tool and find out.
In addition to top trafficked pages on your site please also look at top entry pages report and measure their bounce rate (you’ll quickly have a list of pages that need your immediate attention).
Action: Check to see if the right calls to action are on the page? Is the content optimally organized? If the above pages are your campaign (direct marketing or paid search campaigns) landing pages then are they delivering on the promise of the email piece you had sent out or the search keyword? Answer these questions and consider multivariate testing to improve page performance.
An Exception :
There is one obvious case where bounce rate might not cough up as many insights. I am thinking of blogs.
They are a unique beast amongst online experiences: people come mostly only to read your latest post, they’ll read it and then they’ll leave. Your bounce rates will be high because of how that metric is computed, and in this scenario that is ok.
You don’t want the bounce rate to be 98%, new visitors to your blog will still come and look around and read different posts etc. But I would not worry if my bounce rate for this blog is 50%. Maybe at 75%. :)
In summary:
- Bounce rate is a metric you’ll easily find in all web analytics tools.
- It is easy to understand, hard to misunderstand (something you can’t say for all, or even most, web analytics metrics).
- It is awesome at identifying low hanging fruit (you stress about so much, start here and you’ll easily find so much to action), try the above five tips first.
- Please don’t confuse bounce rate with exit rate, they are radically different metrics. Also: Everyone who comes to your site has to exit, almost no one who comes to your site needs to bounce!
Would you agree this is a awesome metric? It won’t have all the answers for you, but it will help you focus very quickly on what’s important, show where you are wasting money and what content on your site needs revisiting.
As a benchmark from my own personal experience over the years it is hard to get a bounce rate under 20%. Anything over 35% is a cause for concern and anything above 50% is worrying.
What do you all think? Please share your tips, tricks, war stories, critique, brickbats via comments.
[Like this post? For more posts like this please click here, if it might be of interest please check out my book: Web Analytics: An Hour A Day.]


















August 6th, 2007 at 02:17
Really great post. I recently wrote about bounce rates in our company newsletter but this is so much more in depth.
It must be one of the most easy to understand and useful metrics. I especially like your tips on how to use the metric.
Thanks
August 6th, 2007 at 02:25
Well written, clear AND actionable. I’ll be looking at my bounce rates this weekend!
August 6th, 2007 at 03:59
Avinash,
cocerning bounce rate reports in Analytics, there is somethig about the numbers i can’t understand. Maybe you can shed some light on it.
I have an AdWord Keyword with a Bounce Rate of 100% but 54 Pages/Visit. How can that ever be? If a Keyword generates 54/pages per visit, how can the bounce rate be 100%?
This is something which i believe is impossible and can’t understand.
See here for a screenshot of what i mean:
http://www.stefanseiz.com/images/analytics-bounces.gif
Thanks
Stefan
August 6th, 2007 at 05:05
I have always been a big proponent of bounce rate analysis, but you helped me take it to an even bigger level. Thanks!
The Google Analytics charts look easy too!
–Wil
August 6th, 2007 at 05:55
Avinash,
Bounce rates are great, but we also should look at something like “Stagnation rate”…ofcouse I am making up this name. What this will do is focus on is sessions, that stayed on the site for above say 20 min. This is especially critical for eCommerce sites. This will clearly show that customers who came in to buy something, are not able to easily complete their tasks. Creating a customized experience for these set of users can dramatically improve customer experience on the site.
August 6th, 2007 at 07:46
Another excellent and insightful article Avinash. I have just posted an article on the business benefits of user testing, which alongside taking a broader view of user behaviour with web analytics provide an extremely powerful and conversion increasing exercise, as you will have experienced.
In reference to Rahul’s point on improving e-commerce customer experiences, again alongside a customized user experience user testing can lead to exceptional case studies to push through user experience enhancements and redesigns.
You may note towards the end of my post I have provided a few links into relevant articles on web analytics from yourself, so thanks for the great articles once again which support the business advice I am providing..
Paul
August 6th, 2007 at 07:56
[...] Avinash Kaushik wrote a great piece today about the usefulness of the bounce rate metric. As someone who analyzes web traffic for hours each day, I can honestly say that bounce rate is probably my favorite metric, and has been for some time. I’ve often been curious why more marketers and analysts didn’t utilize it, as I find it to be a great indiciation of the quality of traffic a website is receiving. So I’m encouraged that bounce rate is getting more positive press now! [...]
August 6th, 2007 at 13:03
How does Google Analytics define “bounce rate”? Is it 5 seconds or less? Thanks!
August 6th, 2007 at 15:06
Great post, No comments! :-)
However; I would like to add a TIP if I may? - And that delivered with my new found mantra in mind: “For any analytical and detail oriented person starting out on a career in Web Analytics, try not thinking about magic tools and metrics or whatever – Think about Money. It’s honest!”
So when you suggest, and correctly so, to measure bounce rate of your top trafficked pages – I tend to suggest either on top of that or as a replacement metric to:
- Measure bounce rate of your top revenue participating pages and/or keywords
As this list is ALWAYS different than that of your “top trafficked pages” list. This also enables you to (as our good friend Jason Burby keeps talking about) create an almost instant monetization model – as the money is out in the open and almost calculable on the spot.
Cheers
Dennis R. Mortensen, COO at IndexTools
My Web Analytics Blog
August 6th, 2007 at 20:00
To add a practical example, on request of Big A himself. ;-)
The problem:
* Have a simple page as part of a larger site. Rest of the site is by and large irrelevant to this page.
* This page offers a product (Source code. aka tarball) for download.
* Want to better “sell” that product, and hence increase downloads. [1]
Using no segmenting or anything special beyond a simple report, I noted that ~42% were bouncing off that home page. Or phrased positively, 58% were doing something else with the site. Possibly downloading the tarball - doesn’t matter per-se.
So what am I doing *wrong* to cause people to leave? What can I change to help more *want* to use the product, or at least download it???
So what did I do?
Split that single page up into moderately obvious separate pages, and re-evaluate.
The idea of doing the split was to get a greater understanding of what people are looking for and want out of the product. At least in terms of getting increased downloads of the tarball. :-)
Well it worked. Sorta. Bounce is now down to ~39% (~3% improvement). Ifs, Buts and Maybes around this too: didn’t have an official release that month, so numbers were lower than normal. ie. not exactly a fair comparison.
But the point is that I now have an appreciation of what they’re looking for. Without doing any referral analysis to cross check, the top urls portion of the new report shows that the “Demonstrations” page is the next most popular. Fair bet that’s what the visitors are looking for. The “Features” page is further down.
So what next?
I’m aiming to do the following tasks:
1. Somehow pretty up and better “sell” the demo page.
2. Note that the demo page doesn’t actually make it easy to download the tarballs. That needs to be fixed *pronto*. aka: “Call to action”. *All* the pages need a simple “click here for the tarball” action item.
3. Most importantly: the current product home page, if you’ll excuse the pun for those in the know ;-) , is awful. Really needs to do a better job of actually *selling* the product. Reduce the bounce at the source!
So we draw two major views out of Bounce Rate:
A. That people are not being sold on the landing page. aka Product Home Page.
B. That those who aren’t bouncing are going to pages that could also do a much better job of selling.
And that’s just using a *reporting* tool [2]. Imagine what you can do with Segmented Analysis. ;-)
Cheers!
- Steve
[1] Do be aware that raw downloads alone is not a KPI here. Soft indicator more than anything else. The full details of all the issues involved would overly complicate this example to no real value.
[2] The irony being that the tarball in question is that self-same reporting tool. ;-) Eat ones own dog-food?
August 6th, 2007 at 22:47
Stefan : I am afraid there isn’t enough in the image to help identify the issue, could you please email me the “grid view”. The other metrics in that view I think will help identify the problem.
Rita : GA uses the “single page view in a session” definition. You can simply click next to the question mark next to any GA metric to get the definition…
Dennis : As always you make an excellent observation but I suspect that would lead to soft of a catch-22 situation. It could also sometimes (not aways) lead to ignoring low hanging fruit. Let me explain.
The pages you expect to be “revenue participating pages” could, pardon my french, suck becuase either they themselves have huge bounce rates (hence not producing “top revenue” :)) or could be suffering becuase web pages that are supposed to lead to them could be bouncing hugely.
In either of these two scenarios it will take you much longer to find the problem that needs fixing.
Here is the order I usually recommend (once you reach best practice #5 in above blog post):
Step One: Look at the Top Entry Pages report and bounce rate for each. You will find the low hanging fruit - pages that are your core entry points and bouncing traffic rather than absorbing. These could be landing page, product pages, revenue generating page, tech support pages. Fix ‘em.
Step Two: Look at the Top Visited Pages report and bounce rates. These again should be absorbing people not bouncing them (don’t look at Exits). Since they get seen the most any fix here has high roi (by increasing “absorption”).
Based on your excellent feedback going forward I’ll always add step three (for e-commerce websites)…
Step Three: Traffic is being absorbed nicely on your site, identify your core “revenue participating pages” and look at bounce rate. These pages (usually with product details and add to cart buttons) might be getting less traffic but now that people can actually find them you’ll get huge roi for your investment.
Does this make any sense?
I concur with you (and Jason) that focus on revenue and monetization is important, but sometimes we focus on it too early missing low hanging fruit with high roi as well as potentially ignoring large chunks of visitors who are not on your site to buy.
Steve : Bravo!! Six hours has got to be the fastest someone has taken a post I have written and turned it into action! :)
Thanks so much to everyone for all the wonderful comments!
-Avinash.
August 7th, 2007 at 02:58
Avinash, I am intrigued by your definition of bounce rate as “users who left the site in less than 5 seconds”. This type of measure would give us an indication if the users were not interested in he site at all, or took some time to read the content. However, I see no way to measure this this time. Time on site is usually measured as the time between to clicks on your site, and visitor who are not doing a second step on your site are not included. So I assume it is not possible to calculate the time on site for the users who bounced. Any thoughts?
August 7th, 2007 at 09:49
I wanted to add something that seems obvious but I don’t see it mentioned:
If someone is bouncing (leaving within 5-10 seconds), they haven’t read much of your page yet.
I think Avinash’s article mentions it a bit…
Your visitor must believe that the landing page answers the question or solves the problem they had when they clicked to your site.
Your page must clearly communicate what it’s about- if it’s confusing or overwhelming or the headline sucks, they bounce.
I don’t think a “bouncer” is getting much more into their brain about your page than the biggest headlines or bold words, an image, the layout, an overall impression.
So I don’t think it makes sense to talk about details of the copy etc. (things that lead to conversion after you pass the no-bounce test).
Hope that helps,
Brian
August 7th, 2007 at 14:57
Florian : Ahhh… good point. N/V (no value) to the rescue!
You are right, that time on site is essentially computed using “time between clicks”. You see page one at 1200 hrs and page two at 1201 then time on page one is one minute.
If you only see page one at 1200 hrs (for one minute) and then leave (bounce!:)) then all analytics tool by default have no value for you for time on site.
If your web analytics tool allows you to segment by time on site (say ClickTracks) then to compute bounce you can say “segment all the sessions with time on site of five seconds or less”.
No Value (people who saw only one page) are in the less than five seconds bucket.
They’ll get included.
You have a slightly richer understanding of bounce rate (as Brian Carter put it) becuase in such little time someone could have seen a bunch of pages in five seconds yet they got little out of those pages and were never really in the game for you to convince them about anything.
So using time on site is a bit more aggressive way to computing bounce, but I have usually advocated to marketers that it is the definition they should use becuase it sets a higher bar for marketers and website owners.
-Avinash.
August 7th, 2007 at 17:48
Hi Avinash,
great blog post. I’m helping somebody out with the SEO of his website and try to get him to do some web analytics, too - and an article about bounce rate is just what I needed, now!
When you use the rule of thumb that it’s hard to get a bounce rater lower than 20%, 35% is already kind of bad and 50+% is very bad, can these bounce rates be applied across most industries?
Im a bit surprised, because usually everybody always goes “it makes no sense trying to pinpoint an average number as it varies way too wildly across industries”, but for bounce rate it’s kinda similar from industry to industry? (just curious, b/c knowing what a bounce rate that needs improvement is could help me a great deal with this project)
If it does vary wildly what would be a normal bounce rate (no cause for concern) for a website that sells cars or used cars, etc. ?
thanks!!
August 8th, 2007 at 21:49
Hi Avinash,
Let me get this straight. Do you mean:
a) I get a better understanding of bounce rate by segmenting the 20% (for example) of users that don’t technically bounce.
b) I can get more data (how long did they spent on the landing page b4 leaving) about the 80% of users that bounce.
I would love b) but can only see a)
August 9th, 2007 at 11:31
Hi Avinash. I think with your “hard to misunderstand” comment that you underestimate our ability to misunderstand things. :-)
The WAA Standards Committee began to define bounce rate and its sister single page visit thinking they would be no-brainer definitions. We ended up discussing them over several weeks. The sticking point was this: some of us have run across sites where visitors will refresh a page, or perhaps the page will refresh on its own after a set time (sports sites with a scoreboard or sites with frequently updated news are two examples). It is unclear from many vendor definitions whether or not visits that include only one page viewed multiple times contribute to the bounce rate. Our conclusion is that they should not, since they don’t represent a true bounce.
That’s a good argument for using a metric based on visit duration like you have described above. However, I’d be careful calling it a “bounce” since that’s not what that term represents for most of the available tools.
August 12th, 2007 at 07:00
[...] As I said before, I’m off to Italy but these few posts caught my eye before I left.
Interesting posts and articles you may have missed last week
There was a really great post by Avinash Kaushik about bounce rates. It’s one of the most thorough blog posts I’ve seen on the topic and well worth a read. [...]
August 13th, 2007 at 09:07
I for one am for the longer, more in-depth posts - but I am also probably in the minority.
Do you feel that bounce rate objectives/expectations fluctuate by large percentages across industries? I would have to imagine that websites with larger dollar items, or products/services with longer buying cycles should expect higher bounce rates (with the exception of brand specific searches/relationships) in comparison to something like a retail e-commerce site.
August 13th, 2007 at 15:46
Derek : Yes the bounce rates will fluctuate but I am having a harder time with the latter part of your hypothesis.
Each site and industry vertical will have its own unique bounce rate profile, after all there is no such thing as a generalization (and before someone else says it: yes I realize that is a generalization in of itself!). Please take the above mention “bands” as guidelines and then overtime benchmark against your own performance (this is one metric that should go down over time, if you are getting better).
I don’t know if any kind of website should have a “higher” bounce rate. If there are long buying cycles or high dollar items then you probably want people to spend more time and not less on the site (and hence have a lower bounce rate) since the visitor is so much more valuable.
Overall it is hard to acquire traffic. No matter who you are what you do. That traffic should stay on your site for more than one page or more than five seconds, else was it worth it to acquire them?
Thanks so much for the comment.
-Avinash.
August 14th, 2007 at 05:45
Sorry for the confusion and appreciate the reply. I’ve been working with a company (with a fairly complex offering) to move their bounce rate to lower than 50%, which is why the question arose. However - your comment on the amount of time a user would want to spend on the site - evaluating, learning etc - is a key point.
I feel that to some extent, an assumption is (was) being made simply because of the complexities in the product buying cycle and I’ll need to take this into consideration for additional/updated content development and internal navigation. Thanks again for the valuable response!
August 17th, 2007 at 07:57
The Service Edge…
I am convinced that the service edge will be the next big fault line in web analytics–the one that will ultimately separate the leading lights in our field from the also-rans. Client servicing done well will be the biggest competitive advantage a company can leverage–greater than metrics, applications, and marketing combined. Whether yours is a purely behavioral approach with data-heads crunching bounce rates and tracking conversion events, or you’re a survey-based vendor more adept at probing the intricacies of open-ended feedback, no factor will be more crucial to your continued success and growth than your ability to make yourself not just relevant but indispensable…
August 22nd, 2007 at 06:34
Avinash
I am engrossed in your book WA An hour a day - great read.
You mention it is not possible to measure how long a visitor is on the last page since time is calculated from one log entry to the next and since the page away from our site is not known, the time on the last page is always stated as zero. So how can you measure bounce rate at 5 seconds? What am I missing??
August 30th, 2007 at 08:03
[...] Other than the standard goals of conversion rate or cart abandonment rate, what are the most important goals to focus on in the early phases of analysis?
Getting the highest quality of traffic to your website. Period. Garbage in, garbage out. I always recommend that the first thing you want to do is measure quality of traffic (say for example by using that wonderful metric called bounce rate ) and immediately stop spending money on campaigns, affiliates, keywords where you are getting low quality traffic, say with a bounce rate of greater than 30%. Also look at the top entry points on your website. You’ll be shocked at what you find and you’ll quickly get over the obsession of spending all your energy on creating a golden website home page.[...]
September 6th, 2007 at 21:21
[...] Avinash Kaushik’s blog, which contains wealth of Web analytics information, is a must read for every one in this field.
1) Identify the objective of analysis. Define the problem.
A) To Improve Campaign Performance
i) How to increase conversion rates
ii) Which pages have higher pageviews, lower bounce rates and why?
iii) Which geolocation, keywords bring most loyal visitors?
iv) Can you retarget your new users?
v) Which referral sites gives low cost per acquisition? why? [...]
September 7th, 2007 at 16:26
[...] If you haven’t used an analytics package before, Google’s analytics is a great place to start, is packed full of information and will give you just about every statistic you could want. For a great overview on how to use an analytics package to analyze your site’s bounce rate, read Avinash Kaushik’s bounce rate article. [...]
September 11th, 2007 at 15:42
Thank you. My new deity. And yes, I bought the book (and another book on the same topic, and the other book is due for the recycling bin or immolation.)
September 26th, 2007 at 12:00
Like Peder, I’m reading your book (and loving it by the way) but I’m confused by your support for the bounce rate as a meaningful metric after reading your discussion about the problems with interpreting single page visits (p 138-139). How do you reconcile these two seemingly different views?
October 24th, 2007 at 14:19
Exceptional. and i don’t even work in the field!
October 30th, 2007 at 21:25
[...] So decide how to measure your new feature. It could be as simple as an increase in conversion or a decrease in bounce rate. When you code up your newfangled thing, make sure that you can A/B test it against the previous version - and really test it. Make sure you are getting significant results, and look at all your metrics to make sure there are not unexpected surprises. Then roll it out full board. [...]
November 7th, 2007 at 06:33
I’d like to know if there are an international standard that says if my bounce rate is within the normal range , or it is too bad and need improvment?
December 17th, 2007 at 21:06
[...] While I am a huge promoter of keyword intelligence, it’s so much easier to just ask when faced with a dilemma. No matter what business you are in, I bet you arrive at that fork in the road every few months: Should we email the latest report, highlight the URL, or add an RSS feed? Does it make sense to redesign the product page, or simply add one more tab? How do we know visitors are finding what they are looking for, and is our “bounce rate” killing us? Do people prefer PayPal over credit cards? How could we know that? [...]
December 18th, 2007 at 01:25
[...] bounce rate at 35% is very good in context of the number of visits and page views. It is hard to get so many [...]
January 14th, 2008 at 01:52
If we’re talking about bounce rates being defined as when someone views only one page - I think there are scenarios where a high value may not be bad.
Consider a regular reader of a blog, who visits often, reads a new post, and then leaves. They only visit one page, becuase they have already read previous articles.
Or - someone links to an article on you site from a forum, visitors come and read the relevant article and leave.
In these situations, a high bounce rate is not neccessarily a bad thing.
February 6th, 2008 at 02:56
It is a good blog and a lively discussion. I remember reading that GA counts a bounce as a visitor that views one page of your site and leaves. The definition of leaving the site also includes a session time out which is 30 minutes.
Theoretically someone could spend up to 30mins on a landing page and leave. This is ample time to read a story or view a single page.
So as Sam B says if someone direct links to one page on your site or gets an RSS feed to certain content or reminder of updated content (i.e. this very page) then it follows that Bounce Rate may not be a bad thing at all for content driven sites.
While I agree that for commercialised sites bounce rate can be a real problem for other sites that are content based it appears that bounce rate ‘may’ not necessarily be an issue.
February 6th, 2008 at 08:28
David :You are right. If success for your website is one page view then obviously Bounce Rate will not help identify the wheat from the chaff.
I had noted Blogs as an example of a exceptional case at the end of the post above.
I would hesitate to say that bounce rate is not a good metric for “content” sites. Take CNN for example. I could read the latest news on one page and leave, but CNN probably wants me to read more so I can see more ads and perhaps click on ‘em. So they would care about bounce rate.
Just a example. Your comment highlights the need to ensure a clearer understanding of what you are solving for and to that I say Amen!
-Avinash.
PS: Here is a post that might be helpful in understand the time component and how that plays itself out:
Standard Metrics Revisited: #4 : Time on Page & Time on Site
February 7th, 2008 at 01:57
Thanks Avinash.
Of course any site with advertising will want as many pages viewed as possible if there are advertisers. I was just trying to point out that as you say any metric (incl Bounce Rate) must be viewed in context of the page and the intent of the page involved.
I have come across marketing ‘gurus’ who will take the bounce rate and subtract it from the traffic stats to essentially discount the number of people visiting a site. I think that this is an erroneous method and one that I hope isn’t adopted as standard across the industry.
February 7th, 2008 at 07:52
[...]
L’analisi del bounce rate è una delle possibili prime mosse da fare per iniziare a studiare il traffico di un sito. Questa percentuale indica gli utenti che hanno abbandonato il sito dopo aver visitato una sola pagina e (sulla base del contenuto analizzato) può rivelarsi utile a comprendere il traffico del sito in termini qualitativi.
Come annunciato ieri, vi mostrerò che cosa sto rilevando per questo blog motivando i miei ragionamenti. Per l’analisi ho deciso di utilizzare la piattaforma Google Analytics - facendo riferimento ad un intervallo di tempo di cinque mesi - poichè a mio parere la migliore tra le piattaforme free (sulle piattaforme di web analytics professionali mi sono già espresso).
[...]
February 21st, 2008 at 04:32
[...] For more detailed directions, check out Avinash Kaushik’s wonderful post at Occam’s Razor. He skims over the time vs. page argument that I wrote about, but he delves into some great suggestions for finding out more about your traffic and improving bounce rates. I especially recommend #2 (Measure the bounce rate for your traffic sources) and #4 (Measure the bounce rate of your AdWords, AdCenter, YSM (PPC) campaigns). Many companies, especially small business owners, think they don’t have the time to properly measure metrics. The truth is that they can’t afford not to. [...]
February 21st, 2008 at 04:37
Great post - thanks! This is so interesting and you explain it so well.
I delve into the time vs. page topic in my post from today and encourage my reader to visit this post as their homework. You’re writing to a higher-level audience, but the importance of bounce rates is still the same.
Thanks for your work!
March 10th, 2008 at 02:50
This is great.I have watched a couple of videos from you. English is not my native language & find your explanations always smooth & very to understand.
Thank you
March 24th, 2008 at 00:52
Note: bounces are percentage of entrances that left without visiting another page. I mean, even 100% bounce rate may be “safe” for some pages. For example, I have “products” page on my site, top-visited, with 80% bounce rate and 13% exits. It is intermediate, menu page with few links only. Intended to give site visitors quick navigation way. The important point is that only few visitors came directly to this page — in fact, no one should came directly to that page, but it happens. And when 10 visitors came to that page this month, and 8 leave, this is 80% bounce, although thousands other navigate tro9ugh that page and it is with the lowest exit rate of the site :-)
March 27th, 2008 at 00:58
Hello, I’m grappling with an issue concerning Bounce Rate in Google Analytics. Take this example: I visit a page, refresh it and leave. That is 2 pageviews, 1 unique pageview, 1 visit but is it counted in bounce rate or not???
Many thanks for your help!! Jiri
March 27th, 2008 at 23:00
Jiri: That would not be counted as a bounce.
The definition of bounce rate, as outlined in the post above, is those sessions that only have one page view.
In your example the session has two page views, so no bounce.
Though as you can imagine we are in slightly gray matter land from a marketing perspective. :)
-Avinash.