The Quick And Easy Guide To Segmentation With Google Analytics? (Professionals recommend)

To create a segment:

  1. Sign in to your Analytics account.
  2. Open the View whose data you want to analyze.
  3. Open Reports.
  4. Click + Add Segment
  5. Click + NEW SEGMENT
  6. Enter a name for the segment.
  7. Use the options in the different categories to configure the filters you want for your segment.

What are the two levels of segmentation you can have in Google Analytics?

Segmentation level When segmenting, you can choose between user-, session- and hit-level segmentation.

How do I create a sequence segment in Google Analytics?

Within any Google Analytics report click on +Add Segment at the top and click New Segment in red once the segment list is expanded:

  1. Now we’re ready to build this sequence segment out.
  2. There are actually a few different segments we can create from this example:

How do I use Segmentation in Google Analytics?

To create a segment:

  1. Sign in to your Analytics account.
  2. Open the View whose data you want to analyze.
  3. Open Reports.
  4. Click + Add Segment
  5. Click + NEW SEGMENT
  6. Enter a name for the segment.
  7. Use the options in the different categories to configure the filters you want for your segment.

How do you use segments in Google Analytics?

To apply segments to a report:

  1. Sign in to your Analytics account.
  2. Open the view that includes the reports you want to use.
  3. Open Reports, then open the report you want.
  4. At the top of your report, click + Add Segment

How do you create segmentation?

To create a customer segmentation strategy, you first need to determine your team’s goals. Then segment customers into groups and target them based on their related characteristics.

What are Google Analytics segments?

In Google Analytics, a segment is a subset of your data. For example, of your entire set of users, one segment might be users from a particular country or city. Another segment might be users who purchase a particular line of products or who visit a specific part of your site.

Is immediately followed by Google Analytics?

Immediately followed by means exactly that. “The important thing is never to stop questioning.” Do any of the “redirect…” pages contain habillage? Hello, yes it can contains habillage, this is why.

How many segments can you have in Google Analytics?

You can apply up to four segments at a time, and compare the separate data side by side in your reports. In addition to analyzing data with segments, you can use them to build audiences.

How do I edit segments in Google Analytics?

To edit a segment:

  1. Open the segments list.
  2. Locate the segment you want to edit, then click Actions > Edit
  3. You can rename the segment, and you can modify the existing filters and add new ones if you like.
  4. When you have the segment configured as you want, click Save.

What are the four bases of segmentation?

Demographic, psychographic, behavioral and geographic segmentation are considered the four main types of market segmentation, but there are also many other strategies you can use, including numerous variations on the four main types.

What is segmentation in Web Analytics?

Segmentation is the process that segregates the data to find the actionable items. For example, you can categorize your entire website traffic data as one segment for a “Country,” and one for a specific City.

What are audiences in Google Analytics?

Audiences in Analytics are users that you group together based on any combination of attributes that is meaningful to your business. An audience might be simply current shoppers (include users who have > 0 product views; exclude users who have > 0 purchases).

Can you combine segments in Google Analytics?

When you want to combine two or more queries, such as multiple Google Analytics segments, the Analytics Edge Core Add-in provides the tools to automate it. In a simple scenario, let’s make a quick table showing top-level metrics like Users and Sessions for each of several segments.

Guide to Using Advanced Segments in Google Analytics

In order to identify methods to increase conversion on E-commerce projects, I always begin with a structured analysis of the current effectiveness of customer journeys for different segments, which I conduct using Google Analytics to help identify potential improvements to site page templates to be tested. As previously said, segments are useful because they allow you to isolate and analyze different traffic sources. For example, in the screengrab below, we have picked organic traffic in order to just investigate how these visitors behave, such as which landing pages they arrive on.

It is essential to go beyond the headline conversion rate and reviewconversion rates by referrer in order to be successful with this method.

With the help of this compilation from Monetate, you can get a sense of the difference in E-commerce conversion rates across different channels.

Many of these are basic categories that are already accessible in Google Analytics, but you may also create custom segments if you want to be specific.

Individual Member content – 7 Steps to Using Google Analytics to Improve Online Marketing – is available for download.

You may get the Google Analytics strategy guide by clicking here.

What is a Google Analytics Segment?

Segments in Google Analytics are similar to traditional customer segments in marketing in that they group visitors who have similar characteristics together. There are several characteristics of visitors that are automatically collected by Google Analytics, ranging from information about their browsers and screen sizes to information about the sites from which they came and the sorts of pages they saw.

My ten recommended segments for Google Analytics

Using Google Analytics, I recommend using the following 10 segments, which are listed in general order of importance to marketers:

  • 1. Segmentation by referrer / traffic source
  • 2. Segmentation by visitor type
  • 3. Segmentation by location / geography
  • 4. Segmentation by content viewed
  • 5. Segmentation by landing page type
  • 6. Segmentation by action taken
  • 7. Segmentation by value
  • 8. Segmentation by demographics
  • 9. Segmentation by engagement
  • 10. Segmentation by technology platform
  • 1.

I’ve gone into further depth on each of these at the end of this essay.

Using segments in Google Analytics

Google Analytics gives excellent information on audience groups; but, it necessitates a different approach to segmentation, and you must know where to search for the information. The Advanced Segments menu option can be found at the upper right of the reporting section, and this is where you should start looking. The examples above demonstrate how the standard or default segments may be displayed in order to display paid and non-paid search traffic, as well as other information. Segments in Google Analytics are similar to conventional customer segments in that they group visitors that have similar characteristics.

How do I set up segments in Google Analytics?

Google Analytics gives excellent information on consumer groups; but, it necessitates a different approach to segmentation, and you must know where to search for it to be effective. In the reporting section, check for the Advanced Segments button in the upper left corner, which brings up the Advanced Segment selection box, which can be found in the upper left corner of this article.

Why isn’t analytics segmentation used more often?

The most successful marketers invest time and resources in learning about their consumers’ behaviors, qualities, and demands. As a result, Google Analytics might appear to be a challenging tool to use at first sight because there isn’t a clear report on consumers. The only thing we have to go on is the visitors’ report, which is nameless and homogeneous in its presentation. You may wonder where the information about the various portions may be found. Given that many marketers are either unaware of, or aren’t using segments for site analysis to their full potential, I thought I’d share it with you here as I do with people in my training classes (and I counted myself in this category until a few years ago until I did this interview onweb segmentationwith web analytics with fellow web analyst Hugh Gage).

If you’re using Google Analytics and aren’t utilizing Segments, you might as well stop using Google Analytics altogether, other than for trend reporting and reporting.

As a result of our analytics training, which includes our Google Analytics strategy guide, we expect to “turn the tables.” When I describe the concept and demonstrate all of the choices for real-time segments, which have been available for a couple of years, there is usually a “light-bulb” moment in the audience.

I’ve divided the segments into ten groups and labeled them as standard segments or bespoke segments according to their use. Setting up bespoke segments will be saved for a later stage of the project.

My checklistof 10 Key types of segments to use to analysis in Google Analytics Reports

Most of these segments are better thought of as behavioural segments rather than demographic segments, although, as we’ll see, we can access demographic segments as well as behavioral segments. The challenge, though, is determining which pieces are the most significant. If you’re new to segments, we recommend that you think about them in the following way:

1.Segmentation by Referrer / Traffic source(offsite customer behaviour)

You can examine how different visitor categories differ in their trips across the site and the value they create, for example, if you have campaign monitoring configured.

  • Email campaigns and e-newsletters
  • Social networking sites (including a tailored portion of all social media sites on a single website, such as Facebook)
  • Affiliates
  • Display
  • Direct traffic
  • Search engine marketing
  • And Video marketing.

It’s vital to break out search since it has the potential to be such a significant value provider for most websites further:

  • The most important sources of traffic are paid search (standard section “Paid Search Traffic”), natural search (standard segment “Non-paid Search Traffic”), and Google SEO (I occasionally create a part for “Google SEO traffic” because it is what matters the most)
  • Paid and natural brand and non-brand keyphrases (requires a custom segment that includes or excludes keywords that contain variations of the brand)
  • Significant high volume phrases or terms that include a major keyword
  • Significant high volume phrases or terms that include a significant keyword

2.Segmentation by Visitor Type(customer engagement with brand)

The following are examples of frequent visitor kinds that can be segmented:

  • Visitors that are new to the site versus recurring visitors Non-registered visitors versus registered visitors (this necessitates the usage of custom variables)
  • Contrast between non-customers and customers (requirement for the use of custom variables)
  • A technological platform, such as an iPhone or the Safari web browser (see below)

3.Segmentation by Location / Geography(Visitor characteristic)

Creating a customized report is frequently a more effective method of displaying this information.

4.Segmentation by Content Viewed(on-site customer behaviour)

Visitors who have viewed a specific page type may be more inclined to purchase, or you may learn more about them by looking at similar pages they visit:

  • Page with the most important landing page
  • Product page
  • Checkout completed Folders for large-scale organizational needs

5.Segmentation by Landing Page Type(a combination of off-site and on-site customer behaviour)

In Google Analytics, landing pages are sometimes referred to as “entry pages” or “entrance pages.” If you have a large number of visitors that arrive via landing pages, you may observe how they interact with the site.

6.Segmentation by action taken

It demonstrates which consumers have accomplished conversion goals and purchased items as demonstrated by the e-commerce platform (on-site customer behaviour). This is comparable to segmentation based on the material read in that it draws attention to certain behaviors.

7.Segmentation by value.

This is a more traditional segmentation strategy that has been used by email and direct marketers for years, but anybody can see the value in identifying the source and customer journeys of your most important customers and using it. To achieve this, you must first set up Google Analytics to track value (see steps X and Y) for conversion objectives and E-commerce (as described in the previous section). After that, you’ll construct a custom segment that shows visitors when the value is more than a specified threshold.

8.Segmentation by demographics.

Another segmentation method that marketers are likely to be acquainted with, but I’ve saved it till the very end since it’s difficult to set up. Customer information regarding their attributes, such as: age, gender, and marital status, must be recorded using custom variables.

  • For business-to-consumer transactions, age, gender, and marital status are required. Businesses of a certain size, industry, or human job type engage in business-to-user transactions.

If you have set up Google Analytics, you will only be able to do this if you have set up custom variables in the Google cookie when a visitor takes an action such as completing a form with profile information or similar to segment type 6, browsing a category, performing a search, or purchasing a product (see steps X and Y).Note that you cannot add the email address or any unique customer identifier which is personally identifiable information into this cookie otherwise you will be breaking GoDaddy’s Terms of Service.

It is your only alternative if you do not want to do this (and you should not), and you do not want to utilize another analytics solution.

9.Segmentation by Engagement,

In the case of the site, for example, several degrees of customer interaction with it include: This enables you to filter out portions that are more or less advanced. These may be produced as custom segments, or they can be derived from objectives in the Engagement segments and then built as custom segments.

See also:  How To Increase Your Conversion Rate With Intuitive Website Design? (Professionals recommend)

10.Segmentation by Technology platform(visitor device characteristics)

  • Type and version of the browser
  • Screen resolution
  • Availability of mobile platforms (for example, iPhone, Blackberry, and Android devices)

Thus concludes this section, which demonstrates that there is no dearth of choices for segmentation. The most significant ones will differ depending on your company, but we’ve arranged them in a general order of significance and simplicity of implementation. As you can see, I’m the sort of person that wants to cover all the bases. However, you’ll never be able to accomplish this without learning from others, so please let me know if you have any additional favorite bits that might help me obtain more value from a website.

How to use Advanced Segments in Google Analytics

A segment’s performance may be compared to other segments in Google Analytics as part of the first approach of using segments. When you apply a segment in Google Analytics, an additional row is added to your report, allowing you to compare the performance of that section to the performance of the entire site and other segments. Once you’ve finished applying the section, you’re done! Afterwards, you may look at metrics like as volume, engagement levels, and value created, and compare them to those of other segments or the overall site average to figure out why some segments are performing better than others.

For example, first-time visitors tend to spend a disproportionate amount of time on the “About Us” page; whether we aren’t doing a good enough job of conveying our value proposition on the page, or perhaps we might concentrate on enhancing the “About Us” to better demonstrate our attraction.

Using this method, you may isolate a small section of new visitors or returning visitors in order to better study their behavior.

This information is only available for returning visitors who return directly.

How to Use Customer Segmentation in Google Analytics to Build Your Buyer Persona

Piwik Pro is a computer program. BlogThis article is part of a series on Google Analytics tutorials that we’ve put up. Check out our earlier post on How to Set Up Goal Funnel Visualization Reports in Google Analytics for further information. As part of our Google Analytics tutorials series, we’ve been posting step-by-step instructions on how to correctly set up Google Analytics and Google Tag Manager (without coding) over the previous several weeks. Already, we’ve covered how to install key Google Analytics features, such as event monitoring, objectives, and conversion funnels, to help you realize the full potential of your website or online business.

Today, we’ll take a look at segmentation, which is one of the most fundamental but also one of the most powerful analytical tools available in Google Analytics. In this tutorial, we’ll go over the following topics:

  1. How Segmentation Increases the Value of Your Company
  2. Configuring Default Segments
  3. Configuring Custom Segments
  4. Understanding Google Analytics Segments
  5. Understanding Google Analytics Segments Examples of business questions that may be answered via segmentation include: Insufficiencies of Google Analytics’ Segmentation
  6. Next Steps

Regardless of whether you call it audience segmentation, user segmentation, or customer segmentation, the question behind segmentation is actually quite simple — breaking down aggregate data by different dimensions (e.g., age, gender, income, location, and so on) in order to identify patterns in the data is the goal (e.g. clusters of customers with similar characteristics). This is the core of all data analysis. The motive for segmentation in business (and many other domains of applied data science) may be summarized as follows: finding the few critical elements that are driving the bulk of company outcomes, such as an increase or reduction in revenue.

  • For example, you may discover that a single consumer category (for example, young urban professional women between the ages of 25 and 34 who dwell in NYC, Boston, and DC) accounts for 80 percent of your online sales.
  • Using this buyer persona, you can now personalize your messaging and target your digital advertisements to that persona.
  • A Google Adwords remarketing campaign that promotes new goods on those product pages may then be used to target this particular category of customers.
  • Blog Second, you will be able to more accurately detect certain trends in your industry.
  • If there is a rival in that market, you may provide a discount or a rewards program in order to cut your rates in that market and keep those clients.
  • When it comes to Google Analytics, “segments” are just a means to view a portion of data in a report.
  • User segments are subgroups of your website users who may visit your site many times over the period of 90 days, depending on their location.
  • We discussed some of the dimensions that Google Analytics provides in our previous piece, 3 Fundamentals to Know About Google Analytics Before Doing Analysis.
  • Individual characteristics such as age, gender, and hobbies are included in the term “demographics.” A website’s geographic location, which might include everything from a single city to a whole continent, is referred to as its “location.” User behavior: Whether the users are new or returning, as well as how engaged they are with your website in terms of number of visits and duration of each session
  • Devices: The devices used to conduct the sessions, which might be a mobile phone, a desktop computer, or a tablet. Direct, referral, social media, organic search, and other channels are examples of the sources of such visitors.

In contrast to session segments, which reflect user activity during a single session, session segments represent the behavior of several users during a single session. For example, you might create a session segment for all sessions coming from a certain marketing campaign, or a session segment for all sessions during which a visitor made a transaction. It is possible to generate both user and session segments based on metrics (e.g., pageviews) and dimensions (e.g., age), as well as session date ranges and user interaction sequences (e.g.

  1. Check out this Google Analytics help page for additional in-depth information on session and user segments and how to create them.
  2. To add and compare segments, select “Add Segment” from the drop-down menu at the top of the report (e.g.
  3. System segments as well as custom segments will be displayed when the segment builder is expanded.
  4. The Analytics Solutions Gallery allows you to share custom segments that you have created, as well as import segments that have been created by others.

If you opt to share your segment, you are simply sharing the segment itself and not any of your data with the recipient. I would recommend downloading the following two portions to get you started:

  1. Avinash Kaushik’s Occam’s Razor Awesomeness
  2. The Google Analytics team’s New Google Analytics User Starter Bundle
  3. And the Google Analytics team’s New Google Analytics User Starter Bundle

These customized segments (as well as customized reports and dashboards) are really handy. SEO segments, repeat visitors, and comment submitters are examples of this type of audience. If you haven’t already, you should read Avinash Kaushik’s book, Web Analytics 2.0, which is available online. It is now one of the most authoritative frameworks on web analytics for corporate decision-making, and it is used by a variety of organizations. Now, let’s speak about how to set up default and custom segments in the database.

  • Click on the “Apply” button once you’ve selected the segments you’d want to compare.
  • To access the drop-down menu for a section, click on the segment’s down arrow.
  • To include additional segments, click on the plus sign (+ sign).
  • The side tabs demonstrate how you may construct custom categories based on demographics, technology, user behavior, date of first session, traffic sources and (if enabled) ecommerce.
  • You may also leverage Google Adwords’ Affinity Categories and In-Market Segments to your advantage.
  • In-Market segments indicate characteristics that increase the likelihood that consumers will make a purchase near the bottom of the sales funnel.
  • You may also separate people based on sequences of user activities, which can include both pageviews and events, as previously mentioned.
  • When it comes to segments, the ability to compare numerous segments in a report is the most valuable feature (you can compare up to four at a time).
  1. What are the elements that influence whether or not website visitors make a purchase? In the “Made no Purchase” part, create a specific segment for each customer. Make a comparison between the user segment “Made a Purchase” and the user segment “Made no Purchase.”

The non-purchasers in this sample report are almost entirely new visitors, as may be seen in the report itself. 2. What kind of traffic sources and distribution methods provide the most highly engaged visitors to my website? The bounce rate and session length of the “Paid Traffic,” “Organic Traffic,” and “Referral Traffic” divisions are compared to one another. When looking at this sample data, it is clear that referral traffic has had a substantially lower bounce rate (and thus more engagement) than sponsored traffic for most of this month.

In terms of on-site participation, how do my new users and returning users compare to one another?

Consider the following scenario: If I experience a spike in new user traffic as a result of a new Adwords campaign, but the bounce rate is significantly higher than the rate of my returning users, it is possible that this Adwords campaign did not target the appropriate users (ie, highly engaged users) to direct to my site.

  1. For example, you may have a general understanding of who your target audience is.
  2. To validate or reject that notion, you may utilize Google Analytics to gather data.
  3. For example, one of the primary audiences for your yoga mat can be women who want to lose weight.
  4. Without the proper data slicing and dicing, you may have missed this important finding altogether.
  5. Therefore, here at Humanlytics, we are developing an artificial intelligence-based digital analytics platform that, on the back-end, breaks down data into hundreds of distinct combinations in order to find patterns and insights for you automatically.

We will open our beta next month (October 2017), so please join up now to receive updates and to participate in our test: This morning, we spoke about how segmentation may bring value to your company’s bottom line, how to compare segments in the Google Analytics user interface for analysis, and how to create custom segments.

However, we’ve just scratched the surface of what you can accomplish with segmentation in Google Analytics.

Here are a few business topics that you may begin to investigate by comparing user and session segments across time, as shown in the examples below.

It was part of a series in which we attempted to answer the first of four business questions that may be answered using Google Analytics: who are my ideal customers?

If you found this lesson useful, or if you would like to get updates on our artificial intelligence-based digital marketing platform (which will automate all of this research for you), then please follow us on Medium and join our Facebook community by clicking on the links below:

How to use Segments in Google Analytics: 5 Examples of Quick Insights Using Custom Segments

There is a line that separates the Analytics novices from the Analytics specialists in the field of analytics. It is not a purely conceptual line. In Google Analytics, it’s a real, tangible line that you can see. It’s the line that divides the menu for the reports (on the left) from the actual reports themselves on the screen (on the right) Clicking on the left-hand side of the screen gets you to aggregate data.but not many insights. By selecting the appropriate option, you may slice and dice that data.

  • Each report has drill downs that allow you to get deeper into the information. The ability to see subsets of data using filters and sophisticated filters Secondary dimensions, which allow you to mix data from two different reports. For example, comparison charts and pivot tables can be displayed using table display buttons. Segments, which allow you to look at subgroups of users

That final one is really significant. Sections in your reports are a quick and powerful approach to improve the accuracy and usefulness of your data. You will learn how to utilize Google Analytics segments to gather better data, make better decisions, and improve your digital marketing efforts in this article. We’re going to utilize the following five portions as examples:

  1. Remove spam traffic from your website
  2. Visitors who have logged in will be removed. View all of your social media traffic in one place
  3. Visitors who view videos are compared to those who do not. Contrast high-intent visits (blog readers) with low-intent visitors (website visitors).

1. Use segments to remove spam and bot traffic

What’s causing the sudden increase in traffic? Is it possible that we sent an email? Is there something that has gone viral? Was it a big hit with the media? No, it’s a piece of spam. A rise in traffic that follows the same unusual, inexplicable traffic pattern indicates that it is most likely spam to be concerned about. It frequently resembles one of the following:

  • It’s a rapid increase in traffic from a single an arbitrary moment
  • The majority of it originates in the same random country.where you don’t have an audience
  • It’s a significant number of pageviews for the same “page”. yet it is not a page on your website in the traditional sense
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How did the spammers get to a page that didn’t exist in the first place? They didn’t do it. They never came to your website in the first place. They took use of a flaw in javascript to inject data straight into Google Analytics servers, utilizing your UA code but without having to go via your website’s web server. The following is an example of what spam traffic looks like in the All Pages report. If you’re not sure which row in the reports is responsible for the spike, you may use the “plot rows” option to identify it.

  • Have you tracked down the troublemaker?
  • Everything you need to know is contained inside this single screenshot: Step 1: Select the + Add Segment button from the drop-down menu.
  • Step 2: Select “+ New Segment” from the drop-down menu.
  • Give your segment a descriptive name, such as “Non-Spam.” “Conditions” will be shown when you complete Step 3.
  • In Step 4, you will define the parameters for your new section.
  • It is likely that it makes no difference which option you pick.
  • In this section, we instruct Analytics to delete the offender, as inexclude sessionswhena page includes the spam URL.
  • Even before you save the section, you will be able to see what proportion of your traffic you are eliminating.
  • Alternatively, you might use it for answering exciting new questions (for example, what percentage of my social media visitors are on mobile devices and have previously visited?) Even if you don’t save the part, the solution will still show.

But don’t forget to save your work! Analytics has been corrected! Everything is back to normal. Spam traffic has been blocked. You may now move through all of your favorite reports with the confidence that indicators like as bounce rates and conversion rates are once again useful.

2. Use segments to remove visitors who log in (current customers and users)

For every website that has a login button on the homepage (banks, schools, some ecommerce sites, sites with membership access, etc.), a significant number of visitors are just there to click on that button. It accounts for 95 percent of all homepage traffic. Customers who have already registered are not considered future clients or prospects; instead, they are considered existing customers. It would be wonderful if they didn’t contaminate your marketing data with their own. Following is an example of how to utilize a segment to eliminate “log in” visitors from your Google Analytics account.

  1. To put it another way, we’re presuming that the login click is also an exit button.
  2. First and foremost, you’ll need to set up event tracking.
  3. Google Tag Manager can be used to track events and this can be done easily (GTM).
  4. Inquire with your developer.
  5. Once it has been configured, you will be able to see the clicks that have been captured in the BehaviorEventsTop Events report.
  6. Following that, we’ll create a section that will only include visitors that were logged during that event.
  7. Every report shows that it is above the trendline.

It’s the button with the huge red button on it.

The next sophisticated section will include creating circumstances for a filter to operate under.

It is in this section that we instruct Analytics to eliminate people who clicked on the sign in button.

In doing so, you’ve deleted every single visit made by every visitor who clicked on the “Sign In” button, thereby removing all of your present customers from Google Analytics.

Customers that have interacted with your marketing content are called prospects.

Analyst Angela Lynn creates segments by combining conditions so she knows she’s looking at a certain set of consumers while she’s conducting research.

Angela Lynn,Sexy Dashboards

“ You likely have more than one type of client or group of people viewing your website. For example, one of my clients’ websites has two audiences, the teachers and the students. We can get a sense of which users are based on the campaigns that brought them to the site and which content they clicked. With segments, we can layer conditions on top of one another to really narrow in on a certain type of user.”

3. Use segments to check social media traffic

The traffic on social media originates from a variety of sources. It originates from web browsers and mobile applications. It comes from your accounts as well as those of others. This makes it difficult for Analytics to capture everything and aggregate it all together. Visitors who come from social media sites are frequently classified as referral traffic or direct traffic. A section, on the other hand, will catch them all. To see social media traffic in Google Analytics, you may utilize segments, as seen in the following example: Step 1: Select the + Add Segment button from the drop-down menu.

  • Because there is no established category for social media traffic in Google Analytics, we will have to develop one on our own to track it.
  • Identify your section by giving it a catchy name, such as “social media visitors.” “Conditions” will be shown when you complete Step 3.
  • When a source matches one of your social networks, we notify Analytics to include those sessions in the data set.
  • Copy and paste the following lengthy RegEx string into the available field: social|face|twitter|^|linked|pinterest|youtube|quora|reddit|imgur|tumblr|stumbleupon|flickr||tinyurl||myspace Step 5: An additional mini-report!
  • According to the analytics data in the sample above, 3.38 percent of visitors originate from social networking sites.
  • You’re just interested in traffic from social media visitors at this point.
  • This enables you to compare social visitors to all other visitors in an one place.
  • Alternatively, the BehaviorOverview report.
  • However, this isn’t the only method of tracking social traffic.

4. Use segments to measure the effectiveness of video

The visitor activates the video by pressing the play button! Is it possible that Analytics tracked that click? Not until and until event tracking is implemented. This is due to the fact that video play button clicks are non-pageview interactions, similar to the exit button pushes we discussed before. However, by configuring an event in Google Tag Manager and a segment in Google Analytics, you can determine whether or not the video was played. However, you can see how video has an influence on engagement.

  1. First and foremost, you’ll need to organize the event.
  2. The tag and trigger will look something like this after you’re finished: If you’re putting up this system for the first time, you’ll have to wait a few weeks for the data to accumulate before you can conduct much analysis on the results.
  3. Step 2: Select “+ New Segment” from the drop-down menu.
  4. Identify your section by giving it a catchy name such as “Video Watchers.” “Conditions” will be shown when you complete Step 3.
  5. In Step 4, you will define the parameters for your new section.
  6. We want it to include sessions where the event category has the phrase “Video watch,” to be more specific (or whatever you set as the Event Category in the GTM tag.) Step 5.
  7. In order to evaluate video performance, we must compare the number of people who view the video with the number of people who do not watch it.
  8. To create a new group named “Video Non-Watchers,” follow the same procedures as before, but this time omit sessions that contained the Event Category “Video view.” Done!
  9. If you go to a page that has video from the BehaviorSite ContentAll Pages report, you will be able to compare the behavior and conversion metrics of the two groups of visitors.
  10. It will resemble something like this in appearance: Visitors who view the video are 20 percent less likely to bounce from the website, they spend 3.5 times as much time on the page, and they are 3.5 times more likely to complete a task.

We’ve provided a response to the topic “How does video effect visitor engagement?” in this article.

5. Use segments to separate high-intent from low-intent visitors

Website visits may be divided into two categories:

  1. Some of the visitors are seeking for a particular service. Most of the time, they begin their trips on sales sites, which they find after searching for commercial-intent terms. Some site users are just seeking for solutions to their questions. Most of the time, people begin their trips with articles since they looked for information-intent terms.

However, Analytics does not automatically separate them for you. In other words, the more traffic you drive to your articles, the lower your conversion rates will be.Every high-ranking article, every press release, and every viral headline all work together to lower conversion rates and raise bounce rates.However, if you create a segment to measure these two types of visitors separately, Analytics becomes more meaningful and useful. You must create two very basic segments, each based on the landing page, as in the first page of the Here’s 1.

Step 2: Select the + Add Segment button, which is located at the top of every report, above the trendline.

Step 3: Give your section a catchy name, such as “Blog Landers.” Step 4: Step 4: Select “Conditions” from the left-hand menu, which is located under “Advanced.” Create the conditions for your new segmentNext, we instruct Google Analytics to only show visits that started with a blog article as the starting point.

  1. This is still feasible if the blog material is contained under a subdomain, such as, but you must first set up subdomain monitoring before continuing.
  2. This is only one of several strategic variables to take into account when determining where to blog.
  3. Repeat the process, but this time for visitors who did not land on the site.
  4. Lead generating portions of the websites may be evaluated with precision.

Bonus! Share your new segments

Now, forward it to other people who use various Google Analytics accounts to see if they may benefit from it. If they didn’t log in with the same email address, they won’t be able to read it until you give them permission to do so. The “Share Assets” button may be found at the very bottom of the “View” menu in the administration area. Then locate your portion by clicking on it. Choose one (or more) segments to share and then click on the share button. Analytics will provide you with a URL that you may share with whomever you choose.

When they click on it, they will be able to select whether or not to include it in any view in any account that they have access to. Additionally, you may share (or delete) other assets, such as dashboards, custom reports, attribution models, and other such items.

Creating segments for context …and for better meetings

Although it pains me to admit this, I had been using Google Analytics for over ten years before clicking on the + Add Segment option. It just looked to be a tough situation. I’d heard it was beneficial, but it didn’t seem like I’d be in need of it at the moment. While I accomplished a lot of report modification by utilizing filters and secondary dimensions, those customizations were only applicable to that particular report. If you select another report from the drop-down menu, your filters are no longer active.

  1. Note!
  2. Pre-click data from organic search sources is used in all of these examples.
  3. As a result, there aren’t any visitors to segment.
  4. It only takes a few clicks, and it provides context for the reports.
  5. “Average figures are for average marketers,” says the analyst.
  6. That huge swath of aggregate statistics is the least informative.
  7. To the right, please click!

The Complete Guide on Google Analytics 4 Segments

Grouping data into segments is one of the most powerful capabilities of Universal Analytics. In this tutorial, you will discover all you need to know about Google Analytics 4 segments and how they differ from Universal Analytics. When it comes to building and using segments, Google Analytics 4 is considerably different from previous versions. In the “Explore” area of GA4, you have the option of creating and applying segments. It is not yet feasible to generate and/or apply segments inside the “Reports” part of the application.

And be sure to point out the differences between your system and Universal Analytics.

Table of Contents

  • In this section, you will learn about segments, how to create segments, three types of segments, the segment builder in GA4, condition scope, sequential segments, excluding groups in segments, suggested segments, universal analytics vs GA4 segments, segment examples, and concluding thoughts. In this section, you will learn about segments.

Let’s get this party started!

Introduction to Segments

When it comes to getting a better knowledge of what’s going on, segmenting your audience is one of the most effective tactics. When dealing with new customers, I frequently hear comments such as “our overall conversion rate has plummeted” or “our bounce rate has grown drastically.” No amount of emphasis can be placed on how critical it is to understand the underlying metrics and segmentation aspects that are driving these data points. The usage of aggregated analytics isn’t very effective (in most cases).

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You are severely restricted if you do not use them.

Consider the following scenario: you have visits from all over the world, but Canada is the source of the highest-value consumers, resulting in a significant revenue share. As a result, you will want to locate and target as many of these potential clients as possible with your product offering.

How to Create Segments

Both in the administration interface and the reporting environment of Universal Analytics, you may construct segments to be used in various reports. Reporting environmentAdministrator interface Then you may use them in a variety of basic and customized reports. It’s a different scenario with Google Analytics 4 (GA4). You can utilize comparisons within the usual reporting interface (seen below), but you are unable to build and apply segments in this interface. Also,comparisonsaren’t preserved thus you need to recreate them every time.

  • Free-form, Funnel, Pathing reports) (i.e.
  • To show how segments function, I’ll use a free-form report as an example.
  • Step 3: Click on “+” symbol in the segments block (below) (below).
  • Let’s start with the Custom, User part.
  • For the time being, keep in mind that you have three options:
  • Both the administration interface and the reporting environment of Universal Analytics allow you to build segments. Reporting environmentAdministrative interface Then you may use them in a variety of preset and bespoke reports, depending on your preferences. It’s a different story with Google Analytics 4 (GA4 ). When using the conventional reporting interface (see below), you can perform comparisons, but you cannot build or apply segments. In addition, comparisons are not kept, so you must recreate them each time you use the program. You can build and apply segments in Google Analytics 4, but only in theExploresection of the dashboard (i.e. Free-form, Funnel, Pathing reports). To show how segments operate, I will use a free-form report. In the left-hand sidebar, select “Explore” to begin. To create a custom report, select “Free-form” from the drop-down menu. Step 3: In the segments block, click on the “+” symbol to add a new segment (below). Choices for the fourth step are either a Custom section or a Suggested segment. Choosing the Custom, User section will be the best option. Step5: Complete the section information. I’ll go into more depth about the segment builder later on in this post. You should keep in mind that you have three options right now:

Three Types of Segments

When you build a custom segment, you have three choices to choose from: Segmentation of Users User segments are subgroups of people who have interacted with your website or mobile application in some way. This segment contains all of the events that occur for users that meet the stated requirements. Segmentation of the Session Selected portions of sessions that have taken place on your website or application are referred to as session segments. This segment contains all of the events from the sessions that meet the criteria that have been established.

This section will only display the exact event(s) that meet the parameters that have been established.

User Who Isn’t Named

  • During Session 1: page view (event)
  • During Session 2: page view (event)
  • During Session 3: scroll (event)
  • During Session 4: buy (event)
  • Event types in session 3 include page view (event), click (event), and checkout (event).

There are three parts:

  • User who has received a “buy” event. There are three sessions and events included in the price. Session that includes the “buy” event. -Only the first session is included in the package. “Purchase” is the focus of this event part. -only the single “buy” event is included
  • All other events are omitted from consideration.

Segment Builder in GA4

The segment builder is very user-friendly and offers a plethora of customization choices. You can use criteria to include and/or exclude data from your data set. You may combine conditions by using AND and OR expressions. You can also use condition groups to bundle conditions together. Begin with a straightforward section, such as users who visited a certain page. Do you want to observe people who visited the home page and then added a product to their shopping cart? You may also use the search bar to find what you’re looking for.

Users who access your website with a tablet or a mobile device.

“Condition groups” is the final option available.

Condition groups, on the other hand, are quite beneficial if you want to specify distinct scopes for each condition group (advanced).

Tip: I strongly advise you to play around with this feature a lot. Simply creating segments and analyzing the data that GA4 produces is an effective approach to become familiar with this capability.

Condition Scope

The scope of a condition determines how widely or narrowly the conditions are applied when the condition is met. Here are a few characteristics to consider:

  • The scope is specified at the level of the “condition group,” which means that it applies to all of the conditions that have been declared within the group. You have the option of specifying three distinct scopes:
  • User segments can be found throughout all sessions, inside a single session, and during a single event. Sessions segments: segments that occur inside the same session or during the same event
  • Event segments are those that occur inside the same event.

An example of a user and two events is as follows:

  • Session 1: “add to cart” event
  • Session 2: “add to cart” event
  • “begin checkout” event occurs in session 2

The only way to segment on a user based on these two occurrences is to utilize a “User segment,” because they occurred in two distinct sessions. A segment at the session level can only be used to segment on the first or second event of a session. I’m hoping you’re still there since it could be a little perplexing at the beginning. Sequential segments are a type of segment that you may be familiar with in Universal Analytics. The good news is that GA4 also offers this feature!

Sequential Segments

The first thing to realize is that these segments are always tailored to the individual user. Sequential segments that are scoped to a session or an event are not supported. Consider the following scenario:

  • User A accesses the Google Merchandise Store’s site
  • User A adds a product to his or her shopping cart
  • And User A completes the purchase of the product within 5 minutes of the “add to cart” action.
  • Take note that all activities take place inside the same session.

That we may now use the phrase “time limitations” in our segment is wonderful news. Allow me to demonstrate how it works. Step 1: To establish a “User section,” click on the link provided. Step 2: Delete the first “condition group” and then click on “Add sequence” to create a new sequence. Changing the “sequence” scoping to “during the same session” is the third step. However, in this situation, all stages take place within the same session (although it is possible to apply a distinct scope per step).

Step 5: Examine the users and sessions that occurred during this segment and compare them to a segment that did not have a “time limitation” applied (you need to de-select the checkbox above).

I feel this is really strong since you can not only use it to evaluate subsets of data, but you can also use it to develop audiences (and utilize them for Remarketing).

This will be covered in further detail in the following chapter.

Exclude Groups in Segments

Another option available to you is to restrict access to a certain set of people. That may also be highly effective, both in terms of standard segmentation and in terms of establishing lists and remarketing campaigns, among other things. Step 1: Create an empty User segment by eliminating the first condition group from the beginning of the segment. Step 2: Select “add group to exclude” from the drop-down menu. Step 3: Establish a sector and a target audience (optional).

  • “At any point in time” is left unticked, which means that the user will be included in the audience list even if they have not converted during the data range that has been specified. Permanently exclude – If someone has not converted, he will be included in the list for a period of time. The list is dynamic, such that a user who has converted at a later period is automatically eliminated from it.

Also, I strongly advise you to try with all of the choices accessible to you while you are here. Create different parts and experiment with them to see how they operate. Last but not least, put your newfound knowledge to use by creating an audience list. If you ask me, it’s an incredible amount of power!

Suggested Segments

In addition to creating bespoke segments, you may create recommended segments as well. Suggestions for segments are displayed beneath the custom segments.

General Segments

It is possible to easily put up three separate segments depending on prefilled conditions using the general segments feature.


When opposed to custom segments, the disadvantage of these template-based segments is that you cannot add any more dimensions or criteria. However, they can save you time when compared to custom segments. Custom segments are my preferred method of segmentation since they are more versatile.


This segmentation is based on machine learning, and GA4 will forecast which users are the most likely to convert or churn based on their behavior. You can imagine how effective it is to establish audiences of people who share your interests. Make note of the need for employing them before proceeding. “An absolute minimum of good and negative instances of purchases or churned consumers is required. “It is necessary that throughout a seven-day period, at least 1,000 returning users triggered the relevant predictive condition and that at least 1,000 users did not trigger the relevant predictive condition in order to qualify.” Many small businesses will be unable to take advantage of them.

Universal Analytics vs GA4 Segments

It’s critical to grasp the primary distinctions and similarities between Universal Analytics and GA4 segments in order to make informed decisions. Here’s a basic rundown of the situation:

  1. Segments may be created and applied in GA4’s “Explore” section, but they cannot be applied in the usual reports. Universal Analytics becomes more adaptable in this manner. Most of the reports in Google Analytics may be segmented, and you can apply segments to any of them. When applying segments, sampling occurs substantially earlier in Universal Analytics than it does in GA4
  2. Universal Analytics allows you to define segments depending on the number of sessions or the number of users (orhitsif you apply some smart tactics). Users, sessions, and events may all be used to segment segments in the new explorations (GA4), which can be found here. There are various limitations in Universal Analytics (mostly related to reporting views) that do not apply to GA4 properties
  3. These limitations are as follows: In GA4, you are not permitted to reuse segments in other GA properties other than the one in which they were first created. Segments in GA4 may only be used to the exploration in which they were created
  4. Otherwise, they are useless. Sharing segments is feasible in Universal Analytics, however it is not possible in GA4, for example. When compared to the ease-of-use of Universal Analytics, GA4 segments do not (as simply) interface with external products via APIs. The ability to create audiences from segments is available in both Universal Analytics and GA4
  5. This is a very useful feature. It is possible to use segments in both GA4 and Universal Analytics to look back in time.

Segment Examples

If you’re looking for segment ideas, I recommend reading my post on Universal Analytics segments. With a few tweaks, you can generate segments that are comparable to the ones in GA4. Eventually, your collection of segments will be determined by the nature of your business. The business objectives, data, and events are guiding you to the most beneficial segmentation options available. The options are virtually limitless. Again, it is a good habit to look back over the portions that you have created.

Concluding Thoughts

GA4’s segmentation features are quite powerful, yet there are certain limits when compared to Universal Analytics. I feel that it is a wasted opportunity that this functionality is not included in the standard reports as a default. As a comparative tool, I find this to be less useful than the others. It’s fantastic that we can incorporate the “time” component into the segment-building process. Over all, this is an excellent addition to the program. Let’s wait and see whether they become more generally available in the next years.

What are your feelings about the GA4 segments?

I’ll say one more thing.

It offers 25 important health checks for the Google Analytics Setup that should be performed.

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