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measure, assess, and audit to increase conversions

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Bounce and exit rate analytics measure, assess, and audit to increase conversions

30-second summary:

  • Bounce rate is the percentage of single-page visits or visits in which the person left your site from the entrance (landing) page
  • This metric helps measure visit quality and relevance
  • Exit rate is a metric that identifies the number of exits from your site, and, as with entrances, it will always be equal to the number of visits when applied over your entire website
  • Use this metric in combination with particular content pages in order to determine the number of times that particular page was the last one viewed by visitors
  • Pages that fail to meet visitor expectations, don’t provide clear navigation, talk about features rather than benefits, and content that’s not actionable all increase bounce rate

Google Analytics provides valuable intelligence into how visitors find, interact with and leave your website. This intelligence is central to improving both user experience and the profitability of your website. Google Analytics provides many useful metrics that help you do this and two of the most useful are the bounce rate and exit rate.

The difference between a bounce and an exit can be confusing, especially if you are new to analytics. The goal of this article, then, is to demystify the two and explain why they are important. It also acts as a guide to interpreting bounce and exit data and how to lower them in order to improve the performance of your website and increase conversions.

Making an entrance that counts

Before you can understand and calculate bounce rate you need to know a little about entrance pages, also referred to as landing pages and entry pages. Google defines an entrance page as:

Entrances

This metric identifies the number of entrances to your site. It will always be equal to the number of visits when applied over your entire website. Thus, this metric is most useful when combined with particular content pages, at which point, it will indicate the number of times a particular page served as an entrance to your site.

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In short, an entrance page is the first page a visitor lands on when visiting a website. Entrances are, as we will see, a key factor in calculating bounce rate.

How to view your entrances?

In Google Analytics, you can easily view your entrances by following these simple steps:

  1. Go to “Behavior,” under “Reports”
    1665497114 347 measure assess and audit to increase conversions
  2. Click on “Site Content”
    site content
  3. Click on “All Pages”
    all pages
  4. View your “Entrances”
    view entrances - step 4 to understanding bounce rate

Entrances are particularly helpful since they can show you which pages are bringing the most visits to your site. They can also tell you the opposite and help you identify the weakest pages with lower bounce rates.

Well, what is a bounce?

A bounce is a single-page visit. A bounce occurs when a visitor enters and exits a website viewing no other pages other than the entrance page.

And, what is bounce rate?

If, for example, 100 visitors enter your site via Page “A” and 20 of them leave without clicking through to any other page, page “A” would have a bounce rate of 20 percent.

what is a bounce rate - site wide averages

The above figure shows site-wide averages.

Some of the reports Google Analytics generates will give site-wide averages. The screen grab above has been taken from the ‘Top Content’ report which can be found by clicking the Content tab in your Google Analytics dashboard.

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The first thing you might notice is that when you add the average bounce rate and the average exit rate together the result is greater than 100 percent. If bounce rate and exit rate are measures of how many people leave your site, how can the total be greater than 100 percent. The answer is that it can’t.

You might be fooled into thinking that bounce rate is calculated as a percentage of Pageviews. This is a logical thought since it is figured in the report. However, when added together, bounces and exits would again be greater than the total Pageviews.

Bounce rate is not based on the number of visitors or the number of page views it’s based on entrances.

Why do people bounce?

People bounce because of many reasons the key to reducing your bounce rates lies in identifying and addressing the most common ones:

1. When pages don’t meet expectations

Let’s say, for example, that you are looking for a new air fryer. So you Google “buy air fryers free shipping”. You see an ad that says “air fryers With Free Shipping”. So you click on it. But when you click on the ad, instead of a landing page about different air fryers, you’re on the site’s homepage. What are you going to do? Bounce back to Google and make a new research to find a page that is 100% about air fryers.

2. When design is ugly

Having an ugly design can also lead users to bounce back. People largely judge websites first, based on design, and second on the content.

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3. When the page gives users what they’re looking for

Yes. Not all bounces are “bad”. A bounce can be, in fact, a sign that your page gave users exactly what they were looking for.

For example, I have been looking personally over the last few days for a low-carb chicken soup recipe and I landed on this recipe page. This landing page had everything I needed to make the recipe: ingredients, detailed instructions, and pictures. So, as soon as I got my soup to simmer over medium-low heat, I closed the page.

Despite the fact that this single-page session is “technically” a bounce, it is not because that website suffered a bad UX or an ugly design. It’s just because I got what I needed.

Identifying pages with high bounce rates

Notice the figure below that shows sitewide entrances and bounces.

identifying pages with high bounce rates

To get at the real numbers that contribute to bounce rate you need to dig a little deeper. The screen grab above has been taken from the ‘Top Landing Pages’ report which can also be found by clicking the Content tab in your Google Analytics dashboard.

As you work your way down the report you can also view bounce rates for individual pages.

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Viewing bounce rates for individual pages

The above figure shows the bounce rate at a page level.

The ‘Top Landing Pages’ report helps identify pages with high bounce rates that might require further investigation.

You can clearly see from Figure three how the bounce rate is calculated for a single page: (283 bounces / 303 entrances) * 100 = 93.39939939934% which analytics has rounded up to 93.40%. As interesting as this is, it tells us nothing about what is driving the bounce rate and what steps to take if any are required to lower it.

Bounce rate through poor user experience

Pages that fail to meet visitor expectations, don’t provide clear navigation, talk about features rather than benefits, and show content that is not actionable – all increase bounce rate. Not all visitors on your site are using desktop machines with ultra-fast connections and will abandon your site if a page takes too long to download. If you have been over-zealously linking to your site, links from pages that are not closely related can also increase the bounce rate. These are all things you can test for and fix to a degree.

Missing timestamps and the pages time forgot

Google Analytics reports the time visitors spend on pages by comparing timestamps. When a visitor lands on a page a timestamp is created which records the precise time they arrived.
If a visitor arrives at page “A” at 13.45 and clicks through and lands on page “B” at 13.47 two timestamps will be created. By subtracting the time the visitor lands on page “A” from the time they land on page “B” you arrive at the time spent on page “A”:

13.47 – 13.45 = 2 minutes spent on page “A”.

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If at 13.50 the visitor leaves your site completely no timestamp is created and there is no way to tell how long the visitor spent on page “B”.

Why was no timestamp created? If the page was outside the scope of your analytics account, on another domain for example, the timestamp can’t be accessed by your analytics account. Therefore, the time spent on that page can’t be determined for that page view.

Similarly, the time spent on a page by visitor who enters a site and bounces without visiting any other page cannot be measured either.

Cookies, sessions, and timeouts

Google Analytics uses cookies to track the activity of visitors to your pages and report those activities back to their server. Cookies enable Google to distinguish the activities of each visitor individually and track sequential page visits made by the same user during their time (session) on your website. This information is then reported back to you when you log into your Google Analytics account.

Every bounce or exit is the result of a session timeout. In Google Analytics, a session will timeout after 30 minutes of browser inactivity. If a visitor navigates to another website, the session will still continue for a maximum of 30 minutes before registering a bounce or exit. As long as the visitor returns before the session times out and clicks through to another page of your website, it will not be considered as either a bounce or an exit.

  • Each and every visit to your site culminates in a session timeout
  • A session that times out after a single page view is classed as a bounce
  • A session that times out after multiple page views are classed as an exit

Have a look at the tabs open in your browser right now – how many have been open for more than 29 minutes without any activity? Despite the page still staying open in your browser, some of the sessions associated with individual pages might have already timed out causing an exit or a bounce. Also closing your browser, disconnecting from the internet, or hitting the back button will all cause a session to time out which will likely be recorded as a bounce or an exit in someone’s Analytics.


 

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Google On Hyphens In Domain Names

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What Google says about using hyphens in domain names

Google’s John Mueller answered a question on Reddit about why people don’t use hyphens with domains and if there was something to be concerned about that they were missing.

Domain Names With Hyphens For SEO

I’ve been working online for 25 years and I remember when using hyphens in domains was something that affiliates did for SEO when Google was still influenced by keywords in the domain, URL, and basically keywords anywhere on the webpage. It wasn’t something that everyone did, it was mainly something that was popular with some affiliate marketers.

Another reason for choosing domain names with keywords in them was that site visitors tended to convert at a higher rate because the keywords essentially prequalified the site visitor. I know from experience how useful two-keyword domains (and one word domain names) are for conversions, as long as they didn’t have hyphens in them.

A consideration that caused hyphenated domain names to fall out of favor is that they have an untrustworthy appearance and that can work against conversion rates because trustworthiness is an important factor for conversions.

Lastly, hyphenated domain names look tacky. Why go with tacky when a brandable domain is easier for building trust and conversions?

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Domain Name Question Asked On Reddit

This is the question asked on Reddit:

“Why don’t people use a lot of domains with hyphens? Is there something concerning about it? I understand when you tell it out loud people make miss hyphen in search.”

And this is Mueller’s response:

“It used to be that domain names with a lot of hyphens were considered (by users? or by SEOs assuming users would? it’s been a while) to be less serious – since they could imply that you weren’t able to get the domain name with fewer hyphens. Nowadays there are a lot of top-level-domains so it’s less of a thing.

My main recommendation is to pick something for the long run (assuming that’s what you’re aiming for), and not to be overly keyword focused (because life is too short to box yourself into a corner – make good things, course-correct over time, don’t let a domain-name limit what you do online). The web is full of awkward, keyword-focused short-lived low-effort takes made for SEO — make something truly awesome that people will ask for by name. If that takes a hyphen in the name – go for it.”

Pick A Domain Name That Can Grow

Mueller is right about picking a domain name that won’t lock your site into one topic. When a site grows in popularity the natural growth path is to expand the range of topics the site coves. But that’s hard to do when the domain is locked into one rigid keyword phrase. That’s one of the downsides of picking a “Best + keyword + reviews” domain, too. Those domains can’t grow bigger and look tacky, too.

That’s why I’ve always recommended brandable domains that are memorable and encourage trust in some way.

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Read the post on Reddit:

Are domains with hyphens bad?

Read Mueller’s response here.

Featured Image by Shutterstock/Benny Marty

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Reddit Post Ranks On Google In 5 Minutes

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Google apparently ranks Reddit posts within minutes

Google’s Danny Sullivan disputed the assertions made in a Reddit discussion that Google is showing a preference for Reddit in the search results. But a Redditor’s example proves that it’s possible for a Reddit post to rank in the top ten of the search results within minutes and to actually improve rankings to position #2 a week later.

Discussion About Google Showing Preference To Reddit

A Redditor (gronetwork) complained that Google is sending so many visitors to Reddit that the server is struggling with the load and shared an example that proved that it can only take minutes for a Reddit post to rank in the top ten.

That post was part of a 79 post Reddit thread where many in the r/SEO subreddit were complaining about Google allegedly giving too much preference to Reddit over legit sites.

The person who did the test (gronetwork) wrote:

“…The website is already cracking (server down, double posts, comments not showing) because there are too many visitors.

…It only takes few minutes (you can test it) for a post on Reddit to appear in the top ten results of Google with keywords related to the post’s title… (while I have to wait months for an article on my site to be referenced). Do the math, the whole world is going to spam here. The loop is completed.”

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Reddit Post Ranked Within Minutes

Another Redditor asked if they had tested if it takes “a few minutes” to rank in the top ten and gronetwork answered that they had tested it with a post titled, Google SGE Review.

gronetwork posted:

“Yes, I have created for example a post named “Google SGE Review” previously. After less than 5 minutes it was ranked 8th for Google SGE Review (no quotes). Just after Washingtonpost.com, 6 authoritative SEO websites and Google.com’s overview page for SGE (Search Generative Experience). It is ranked third for SGE Review.”

It’s true, not only does that specific post (Google SGE Review) rank in the top 10, the post started out in position 8 and it actually improved ranking, currently listed beneath the number one result for the search query “SGE Review”.

Screenshot Of Reddit Post That Ranked Within Minutes

Anecdotes Versus Anecdotes

Okay, the above is just one anecdote. But it’s a heck of an anecdote because it proves that it’s possible for a Reddit post to rank within minutes and get stuck in the top of the search results over other possibly more authoritative websites.

hankschrader79 shared that Reddit posts outrank Toyota Tacoma forums for a phrase related to mods for that truck.

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Google’s Danny Sullivan responded to that post and the entire discussion to dispute that Reddit is not always prioritized over other forums.

Danny wrote:

“Reddit is not always prioritized over other forums. [super vhs to mac adapter] I did this week, it goes Apple Support Community, MacRumors Forum and further down, there’s Reddit. I also did [kumo cloud not working setup 5ghz] recently (it’s a nightmare) and it was the Netgear community, the SmartThings Community, GreenBuildingAdvisor before Reddit. Related to that was [disable 5g airport] which has Apple Support Community above Reddit. [how to open an 8 track tape] — really, it was the YouTube videos that helped me most, but it’s the Tapeheads community that comes before Reddit.

In your example for [toyota tacoma], I don’t even get Reddit in the top results. I get Toyota, Car & Driver, Wikipedia, Toyota again, three YouTube videos from different creators (not Toyota), Edmunds, a Top Stories unit. No Reddit, which doesn’t really support the notion of always wanting to drive traffic just to Reddit.

If I guess at the more specific query you might have done, maybe [overland mods for toyota tacoma], I get a YouTube video first, then Reddit, then Tacoma World at third — not near the bottom. So yes, Reddit is higher for that query — but it’s not first. It’s also not always first. And sometimes, it’s not even showing at all.”

hankschrader79 conceded that they were generalizing when they wrote that Google always prioritized Reddit. But they also insisted that that didn’t diminish what they said is a fact that Google’s “prioritization” forum content has benefitted Reddit more than actual forums.

Why Is The Reddit Post Ranked So High?

It’s possible that Google “tested” that Reddit post in position 8 within minutes and that user interaction signals indicated to Google’s algorithms that users prefer to see that Reddit post. If that’s the case then it’s not a matter of Google showing preference to Reddit post but rather it’s users that are showing the preference and the algorithm is responding to those preferences.

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Nevertheless, an argument can be made that user preferences for Reddit can be a manifestation of Familiarity Bias. Familiarity Bias is when people show a preference for things that are familiar to them. If a person is familiar with a brand because of all the advertising they were exposed to then they may show a bias for the brand products over unfamiliar brands.

Users who are familiar with Reddit may choose Reddit because they don’t know the other sites in the search results or because they have a bias that Google ranks spammy and optimized websites and feel safer reading Reddit.

Google may be picking up on those user interaction signals that indicate a preference and satisfaction with the Reddit results but those results may simply be biases and not an indication that Reddit is trustworthy and authoritative.

Is Reddit Benefiting From A Self-Reinforcing Feedback Loop?

It may very well be that Google’s decision to prioritize user generated content may have started a self-reinforcing pattern that draws users in to Reddit through the search results and because the answers seem plausible those users start to prefer Reddit results. When they’re exposed to more Reddit posts their familiarity bias kicks in and they start to show a preference for Reddit. So what could be happening is that the users and Google’s algorithm are creating a self-reinforcing feedback loop.

Is it possible that Google’s decision to show more user generated content has kicked off a cycle where more users are exposed to Reddit which then feeds back into Google’s algorithm which in turn increases Reddit visibility, regardless of lack of expertise and authoritativeness?

Featured Image by Shutterstock/Kues

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WordPress Releases A Performance Plugin For “Near-Instant Load Times”

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WordPress speculative loading plugin

WordPress released an official plugin that adds support for a cutting edge technology called speculative loading that can help boost site performance and improve the user experience for site visitors.

Speculative Loading

Rendering means constructing the entire webpage so that it instantly displays (rendering). When your browser downloads the HTML, images, and other resources and puts it together into a webpage, that’s rendering. Prerendering is putting that webpage together (rendering it) in the background.

What this plugin does is to enable the browser to prerender the entire webpage that a user might navigate to next. The plugin does that by anticipating which webpage the user might navigate to based on where they are hovering.

Chrome lists a preference for only prerendering when there is an at least 80% probability of a user navigating to another webpage. The official Chrome support page for prerendering explains:

“Pages should only be prerendered when there is a high probability the page will be loaded by the user. This is why the Chrome address bar prerendering options only happen when there is such a high probability (greater than 80% of the time).

There is also a caveat in that same developer page that prerendering may not happen based on user settings, memory usage and other scenarios (more details below about how analytics handles prerendering).

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The Speculative Loading API solves a problem that previous solutions could not because in the past they were simply prefetching resources like JavaScript and CSS but not actually prerendering the entire webpage.

The official WordPress announcement explains it like this:

Introducing the Speculation Rules API
The Speculation Rules API is a new web API that solves the above problems. It allows defining rules to dynamically prefetch and/or prerender URLs of certain structure based on user interaction, in JSON syntax—or in other words, speculatively preload those URLs before the navigation. This API can be used, for example, to prerender any links on a page whenever the user hovers over them.”

The official WordPress page about this new functionality describes it:

“The Speculation Rules API is a new web API… It allows defining rules to dynamically prefetch and/or prerender URLs of certain structure based on user interaction, in JSON syntax—or in other words, speculatively preload those URLs before the navigation.

This API can be used, for example, to prerender any links on a page whenever the user hovers over them. Also, with the Speculation Rules API, “prerender” actually means to prerender the entire page, including running JavaScript. This can lead to near-instant load times once the user clicks on the link as the page would have most likely already been loaded in its entirety. However that is only one of the possible configurations.”

The new WordPress plugin adds support for the Speculation Rules API. The Mozilla developer pages, a great resource for HTML technical understanding describes it like this:

“The Speculation Rules API is designed to improve performance for future navigations. It targets document URLs rather than specific resource files, and so makes sense for multi-page applications (MPAs) rather than single-page applications (SPAs).

The Speculation Rules API provides an alternative to the widely-available <link rel=”prefetch”> feature and is designed to supersede the Chrome-only deprecated <link rel=”prerender”> feature. It provides many improvements over these technologies, along with a more expressive, configurable syntax for specifying which documents should be prefetched or prerendered.”

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See also: Are Websites Getting Faster? New Data Reveals Mixed Results

Performance Lab Plugin

The new plugin was developed by the official WordPress performance team which occasionally rolls out new plugins for users to test ahead of possible inclusion into the actual WordPress core. So it’s a good opportunity to be first to try out new performance technologies.

The new WordPress plugin is by default set to prerender “WordPress frontend URLs” which are pages, posts, and archive pages. How it works can be fine-tuned under the settings:

Settings > Reading > Speculative Loading

Browser Compatibility

The Speculative API is supported by Chrome 108 however the specific rules used by the new plugin require Chrome 121 or higher. Chrome 121 was released in early 2024.

Browsers that do not support will simply ignore the plugin and will have no effect on the user experience.

Check out the new Speculative Loading WordPress plugin developed by the official core WordPress performance team.

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How Analytics Handles Prerendering

A WordPress developer commented with a question asking how Analytics would handle prerendering and someone else answered that it’s up to the Analytics provider to detect a prerender and not count it as a page load or site visit.

Fortunately both Google Analytics and Google Publisher Tags (GPT) both are able to handle prerenders. The Chrome developers support page has a note about how analytics handles prerendering:

“Google Analytics handles prerender by delaying until activation by default as of September 2023, and Google Publisher Tag (GPT) made a similar change to delay triggering advertisements until activation as of November 2023.”

Possible Conflict With Ad Blocker Extensions

There are a couple things to be aware of about this plugin, aside from the fact that it’s an experimental feature that requires Chrome 121 or higher.

A comment by a WordPress plugin developer that this feature may not work with browsers that are using the uBlock Origin ad blocking browser extension.

Download the plugin:
Speculative Loading Plugin by the WordPress Performance Team

Read the announcement at WordPress
Speculative Loading in WordPress

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See also: WordPress, Wix & Squarespace Show Best CWV Rate Of Improvement

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