10 Most-Tracked Google Analytics Dimension and Metrics
Contents
What Do Google Analytics Metrics Mean?
What Sets Metrics and Dimensions Apart in Google Analytics?
10 Google Analytics Metrics That Are Most Tracked Examples of Google Analytics Dimensions
Understanding how successfully a business website is or is not generating leads, traffic, and sales depend entirely on tracking its performance. Google Analytics is one of the most effective tools for monitoring a website’s performance.
With a number of reports that offer insights into the functioning of a website, Google Analytics provides a sizable amount of information or data on a website. Tracking certain metrics is crucial to find a website’s opportunities and flaws since Google Analytics regularly enhances its reporting capabilities.
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What Do the Google Analytics Dimensions Mean?
An information attribute is known as a Google Analytics Dimension. By taking the time to comprehend the measurements, one may discover a lot about the clients, like the language they use, where they are from, the device they use to access the website, and other information.
What Do Google Analytics Metrics Mean?
Let’s now examine Google Analytics Metrics in more detail. Google Analytics compiles data about a website and the traffic it produces in real-time. Then, a collection of reports with widgets fixed to track particular Google Analytics Dimensions and Google Analytics Metrics are created from this data.
What Sets Metrics and Dimensions Apart in Google Analytics?
Non-numerical, qualitative data is what Google Analytics Dimensions are. They can be regarded as “categories.” These categories are used by Google Analytics to arrange the data it gathers. These are the Google Analytics Dimensions:
Device Classification Country Medium Campaign
For instance, the dimension qualities are as follows if a 35-year-old Spanish lady uses her smartphone to reach a website via an Instagram ad:
the female gender
Age: 35-45
Address: Spain
Device Category: Cellphone Source/Medium: Instagram/paid social
Google Analytics Metrics are separate components of a particular dimension that can be calculated as a ratio or sum. They are numerical evaluations of the information or data that Google Analytics is tracking. The following are the metrics from Google Analytics:
Channel Sessions
Metrics are useful for data analysis, but they are useless without the dimensions that may be used to compare data.
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The following list of 10 Google Analytics Metrics is a must-track list:
Users Users are the people who go to a website. Users can be divided into two groups: new and recurring. Visitors that have previously visited your website are considered returning users, whereas new users are those who have never done so.
Jump Rate
The term “bounce” refers to an encounter where a user accesses a website and then exits without making any more queries to the analytics server. The percentage of all sessions that leave a website quickly is known as the bounce rate.
Sessions are described as a collection of user interactions with a website that take place over the course of a predetermined amount of time. Once a user enters a website, a session is started and ends after 30 minutes of inactivity from the user, or if the user visits the website through one campaign, leaves, and then returns through another campaign.
Typical Session Length
Average time on page refers to how long a user typically stays on a single page. The level of user involvement with the website can be determined by looking at the average time.
the proportion of new sessions
The proportion of new sessions shows the portion of all user sessions that originate from brand-new visitors to a website. The level of user retention and the success of bringing in new visitors to the website are two performance goals that are tracked by this Google Analytics Metric.
Channel Sessions
Google Analytics’ channel groups aid in categorizing the traffic so that one may monitor the effectiveness of particular channels, such as paid, organic, social, direct, e-mail, and so forth. Sessions by channel refers to the total number of sessions that are associated with each channel grouping.
Per Session Pages
Pages per session refers to how many pages a certain user visits in a session. The more pages a person views during a session, the more likely it is that they are interested in the information being provided on the website because they are visiting more pages.
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The number of times a website visitor completes a certain objective on a website is the definition of the goal completions measure.
Views Per Page
PageViews by Page is a measure that shows how many times each page of a website has been viewed overall over a certain period of time.
Medium, Source, and Channels
The term “source” in Google Analytics Metrics refers to the place where traffic to a website is coming from, such as a search engine where a user types in a URL address and visits a website or selects it from a bookmark. The medium metric refers to a broad group of website visitor methods, such as organic search engine traffic, pay-per-click advertising, and so forth.
Examples of Google Analytics Dimensions
The examples of several categories are listed below.
Source/Medium Dimensions: The name or origin of the website being referred to, such as facebook.com, Google, Bing, or Yahoo, is known as the source dimension. The kind of website being discussed is the medium dimension.
The fundamental traffic channels include cpc, organic, email, referral, and none.Campaign: The campaign dimension either refers to the names of the UTM campaigns for custom marketing campaign tracking or the names of the Google Adwords campaigns.
Page: The URL of the currently-viewed page is referred to by the Google Analytics Dimension, Page.
Products: A metric with product-level scope is the product’s dimension. Products, product SKUs, product categories, product brands, product list names, and transaction ID are a few examples.Viewport size of a user’s browsers is referred to as the browser dimension. The viewport dimensions are shown in pixels by the browser size, and formatting is done in terms of height * width, for instance, 9601920.
Country, continent, city, and other geographic dimensions are available through analytics.Device Class: The device the user is using to access the website is referred to by this Google Dimension Metric.
Predefined and Custom Dimensions
The standard dimensions available in Google Analytics are termed as predefined dimensions. Predefined Google Analytics Dimensions are used by default while creating reports. Examples of predefined dimensions are age, gender, location and the device category of the website visitors.
Custom Google Analytics Dimensions are defined by the individuals who manage the website, generally with data that is not available by default in Google Analytics. For example, additional data such as CRM data and logged in user phone call data to set up personalized dimensions can be imported from other sources. Custom dimensions offer a better control over the reports and enable one to analyse the values that are important to them.
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What Are the Limitations of Google Analytics?
Following are some of the stark limitations of Google Analytics:
Recording spam and bot traffic: Not all machines that load a specific website are being operated by humans. There are several bots constantly crawling websites for different reasons. Such bots can twist or skew the data to a large extent. Bot traffic is not good for analysis as bots use websites in a very different manner than human users.
The time spent on a website: The metric time on site has always been difficult to calculate for Google Analytics. When a page is loaded by a user, the time taken for the page to load is sent to Google’s servers and once the next page loads, the time is recorded. Google then does a quick calculation to understand the time the user spends on the first page. This works well until the user comes to the final page. Google has no way to track the time the user spends on the final page of a website.
The need to customize: To measure any interactions occurring on a website, there is a requirement to customize the tracking to suit individual needs as Google has no idea of what’s important to a website owner.
Conclusion
Google Analytics offers a significant amount of information for the use of digital marketers to use, but the most essential step that marketers have to take is to set up suitable goals for their website. As more businesses go online, there will be no dearth of websites competing for the customers’ attention. Thus, the importance of Google Analytics is set to increase in the universe of Search Engine Optimization (SEO).
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