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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 Declares It The “Gemini Era” As Revenue Grows 15%

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A person holding a smartphone displaying the Google Gemini Era logo, with a blurred background of stock market charts.

Alphabet Inc., Google’s parent company, announced its first quarter 2024 financial results today.

While Google reported double-digit growth in key revenue areas, the focus was on its AI developments, dubbed the “Gemini era” by CEO Sundar Pichai.

The Numbers: 15% Revenue Growth, Operating Margins Expand

Alphabet reported Q1 revenues of $80.5 billion, a 15% increase year-over-year, exceeding Wall Street’s projections.

Net income was $23.7 billion, with diluted earnings per share of $1.89. Operating margins expanded to 32%, up from 25% in the prior year.

Ruth Porat, Alphabet’s President and CFO, stated:

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“Our strong financial results reflect revenue strength across the company and ongoing efforts to durably reengineer our cost base.”

Google’s core advertising units, such as Search and YouTube, drove growth. Google advertising revenues hit $61.7 billion for the quarter.

The Cloud division also maintained momentum, with revenues of $9.6 billion, up 28% year-over-year.

Pichai highlighted that YouTube and Cloud are expected to exit 2024 at a combined $100 billion annual revenue run rate.

Generative AI Integration in Search

Google experimented with AI-powered features in Search Labs before recently introducing AI overviews into the main search results page.

Regarding the gradual rollout, Pichai states:

“We are being measured in how we do this, focusing on areas where gen AI can improve the Search experience, while also prioritizing traffic to websites and merchants.”

Pichai reports that Google’s generative AI features have answered over a billion queries already:

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“We’ve already served billions of queries with our generative AI features. It’s enabling people to access new information, to ask questions in new ways, and to ask more complex questions.”

Google reports increased Search usage and user satisfaction among those interacting with the new AI overview results.

The company also highlighted its “Circle to Search” feature on Android, which allows users to circle objects on their screen or in videos to get instant AI-powered answers via Google Lens.

Reorganizing For The “Gemini Era”

As part of the AI roadmap, Alphabet is consolidating all teams building AI models under the Google DeepMind umbrella.

Pichai revealed that, through hardware and software improvements, the company has reduced machine costs associated with its generative AI search results by 80% over the past year.

He states:

“Our data centers are some of the most high-performing, secure, reliable and efficient in the world. We’ve developed new AI models and algorithms that are more than one hundred times more efficient than they were 18 months ago.

How Will Google Make Money With AI?

Alphabet sees opportunities to monetize AI through its advertising products, Cloud offerings, and subscription services.

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Google is integrating Gemini into ad products like Performance Max. The company’s Cloud division is bringing “the best of Google AI” to enterprise customers worldwide.

Google One, the company’s subscription service, surpassed 100 million paid subscribers in Q1 and introduced a new premium plan featuring advanced generative AI capabilities powered by Gemini models.

Future Outlook

Pichai outlined six key advantages positioning Alphabet to lead the “next wave of AI innovation”:

  1. Research leadership in AI breakthroughs like the multimodal Gemini model
  2. Robust AI infrastructure and custom TPU chips
  3. Integrating generative AI into Search to enhance the user experience
  4. A global product footprint reaching billions
  5. Streamlined teams and improved execution velocity
  6. Multiple revenue streams to monetize AI through advertising and cloud

With upcoming events like Google I/O and Google Marketing Live, the company is expected to share further updates on its AI initiatives and product roadmap.


Featured Image: Sergei Elagin/Shutterstock

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brightonSEO Live Blog

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brightonSEO Live Blog

Hello everyone. It’s April again, so I’m back in Brighton for another two days of sun, sea, and SEO!

Being the introvert I am, my idea of fun isn’t hanging around our booth all day explaining we’ve run out of t-shirts (seriously, you need to be fast if you want swag!). So I decided to do something useful and live-blog the event instead.

Follow below for talk takeaways and (very) mildly humorous commentary. 

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Google Further Postpones Third-Party Cookie Deprecation In Chrome

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Close-up of a document with a grid and a red stamp that reads "delayed" over the word "status" due to Chrome's deprecation of third-party cookies.

Google has again delayed its plan to phase out third-party cookies in the Chrome web browser. The latest postponement comes after ongoing challenges in reconciling feedback from industry stakeholders and regulators.

The announcement was made in Google and the UK’s Competition and Markets Authority (CMA) joint quarterly report on the Privacy Sandbox initiative, scheduled for release on April 26.

Chrome’s Third-Party Cookie Phaseout Pushed To 2025

Google states it “will not complete third-party cookie deprecation during the second half of Q4” this year as planned.

Instead, the tech giant aims to begin deprecating third-party cookies in Chrome “starting early next year,” assuming an agreement can be reached with the CMA and the UK’s Information Commissioner’s Office (ICO).

The statement reads:

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“We recognize that there are ongoing challenges related to reconciling divergent feedback from the industry, regulators and developers, and will continue to engage closely with the entire ecosystem. It’s also critical that the CMA has sufficient time to review all evidence, including results from industry tests, which the CMA has asked market participants to provide by the end of June.”

Continued Engagement With Regulators

Google reiterated its commitment to “engaging closely with the CMA and ICO” throughout the process and hopes to conclude discussions this year.

This marks the third delay to Google’s plan to deprecate third-party cookies, initially aiming for a Q3 2023 phaseout before pushing it back to late 2024.

The postponements reflect the challenges in transitioning away from cross-site user tracking while balancing privacy and advertiser interests.

Transition Period & Impact

In January, Chrome began restricting third-party cookie access for 1% of users globally. This percentage was expected to gradually increase until 100% of users were covered by Q3 2024.

However, the latest delay gives websites and services more time to migrate away from third-party cookie dependencies through Google’s limited “deprecation trials” program.

The trials offer temporary cookie access extensions until December 27, 2024, for non-advertising use cases that can demonstrate direct user impact and functional breakage.

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While easing the transition, the trials have strict eligibility rules. Advertising-related services are ineligible, and origins matching known ad-related domains are rejected.

Google states the program aims to address functional issues rather than relieve general data collection inconveniences.

Publisher & Advertiser Implications

The repeated delays highlight the potential disruption for digital publishers and advertisers relying on third-party cookie tracking.

Industry groups have raised concerns that restricting cross-site tracking could push websites toward more opaque privacy-invasive practices.

However, privacy advocates view the phaseout as crucial in preventing covert user profiling across the web.

With the latest postponement, all parties have more time to prepare for the eventual loss of third-party cookies and adopt Google’s proposed Privacy Sandbox APIs as replacements.

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Featured Image: Novikov Aleksey/Shutterstock

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