What is google analytics?
Google Analytics, Google provides a free reporting tool called Google Analytics to monitor website traffic. It aids in learning more about site visitors and their surfing habits.
Google Analytics is a web measuring tool. That records user interactions on websites and also apps. And provides access to page-level analytical data via an interface. Read more…
1. Google Analytics beginnings
2. Google Analytics comes in two versions.
3. The operation of Google Analytics
The Origin of Google Analytics
Google Analytics is a web analytics tool that records and reports website traffic. It is available in both free and premium sort.
The program was introduced by Google in November 2005, and Google Analytics is today the most popular web analytics service available online. Read more…
Google Analytics updates
In addition to the free version, Google Analytics is also available in two other versions: a monthly subscription called Google Analytics 360 Suite geared at environments with high visitor quantities, and through mobile apps, an SDK that enables the gathering of iOS and Android usage statistics.
Users can evaluate online campaigns by monitoring the effectiveness of landing pages and conversions using AdWords integration (goals). Sales, lead generation, seeing a particular page, or downloading a specific file are just a few examples of goals.
How to use Google Analytics?
The goal of Google Analytics is to display statistics in a high-level dashboard. and also other data to casual users, deeper into the reports in question. With the help of methods like funnel visualisation, where visitors came from, and how long they remained. And their location, analytics may pinpoint underperforming sites. Additionally, it provides more sophisticated features like personalised user segmentation.
Ecommerce reports can use to monitor sales activity and performance. as well as to display a site’s revenue. Transactions, and many other parameters connected to commerce.
One user is permitted 100 site profiles. Generally speaking, each profile correlates to a website. Unless the site is linked to an AdWords campaign. It is only available to websites with traffic of fewer than 5 million page views per month. Now incorporates Google Analytics Content Experiments. Formerly known as Google Website Optimizer.
How is Google Analytics too?
The procedures for using your GA account are listed below:
1. Making a Google Analytics account is step one
You must register for a Google Analytics account in order to begin.Log into your current account instead.
2. Include the domain name and industry. And also the URL of the website you wish to track
Select the account to which you want to add the things. At this stage, you should create your property, give it a name, and input the website’s URL, along with the sector and reporting time zone. You’ll then be able to create and complete this stage of the procedure.
3. Enhance your house with a view
Go to the account and resource you want to add a view to. From the Create a View menu, choose the type and give your view a name. then respond to a few other inquiries. In GA, keep in mind that you can add up to 25 views to a property. Read more…
4. Following your site’s tag, add your tracking code
You can use a special tracking ID and a global site. So, tag when you create a property (code you need to add to each site page you want to measure). This is how you can gather information about your property.
Then, on each site page. you want to measure, insert your global site tag immediately. And after the opening tag.
You will be prompted to select your website type (static, dynamic, web hosting Google Tag Manager). So that the data gathering can be set up correctly. Read more…
5. Check the code’s functionality by visiting your GA portal
Finally, make sure your code is functional. You can do this by using a different tab or your phone to browse. you’re site while viewing the Real-Time reporting area. The report ought to reflect at least one site visit, which would be you.
Dimensions and metrics for Google Analytics
The simplest technique I’ve discovered to consider is this:
• Categorical variables are dimensions. The most basic examples are names, colors, and also locations.
Metrics are numerical variables. Simple examples are population, temperature, and age.
Or, to use my professor of data analytics, “Metrics are what you can do the math on.” Not the best orator. Read more…
Although not the most poetic phrase, it is effective
- Landing page
- Type of customer
Examples in Metric
- Retention rate
- Length of session
Your dimensions are your rows. And also your metrics are your columns in any GA report.
Custom Metric Dimensions
With GA, you can combine non-Analytics data with Analytics data to build unique dimensions and metrics. Consider tracking the membership type of clients who have opened accounts in your CRM to give you an idea. This data might be used with page views to see the page. Read more…
For each variety of readers, you may design three unique dimensions:
1. Supporter: a person who has shared more than one post on social media
2. Subscriber: Individual who joined your email list.
3. Client: Individual who paid for premium access
What is a metric in google analytics?
Definition in metric
a numerical evaluation of your data. For instance, the metric season is the sum of all seasons. The average number of pages viewed per season is the measure page/season.
Example Metrics from Google Analytics
We believed that giving you some concrete examples of Google Analytics stats would be helpful.
Sessions: A Google Analytics metric that indicates how many “visits” a website receives.
Pageviews: A Google Analytics measure that indicates how many pages were seen overall.
Users: A Google Analytics metric that indicates how many people visited a website during a specified time frame.
Goal Completions: A Google Analytics metric that indicates how many goals have been achieved.
• Impressions of ads
• Etc. Read more…
“Numbers,” But Not Metrics
• Age: Although a user’s age is technically a number. It is actually an attribute of them rather than a measurement of them.
Days Since Last Session: This is another number, but it’s actually a user property.
Latitude and Longitude are numbers, but they are also location-specific characteristics.
In each case, the numerical value represents a characteristic of the user rather than a reflection of how they behave.
Useful Google Analytics Metrics
1. Total Usership
The user metric displays the total number of visitors to your website. One user corresponds to one website visitor.
2. Amount of Session
The sessions measure shows how often people visit your website, whereas users represent visitors. If two people each visited your website five times, for instance, you could earn 10 sessions from those two visitors. Read more…
3. New Users
You can learn more about your traffic source and the effectiveness of your brand-awareness initiatives by tracking your new users. Only visitors to your website for the first time are tracked by the new users metric.
In the Google Analytics Audience Overview area, you can see who your new users are.
4. The Normal Time on Page
The “average time on page” metric measures the number of time visitors spend on your website before leaving. This indicator can help you determine whether or not visitors are actively exploring your website.
5. The Normal Pages per Session
To track how users interact with your site or any problems in the user’s journey, keep an eye on the typical number of pages your visitors browse per session.
6. Bounce Rate
This measure keeps track of visitors who come to one page of your website before leaving. The bounce rate is presented by Google Analytics as a percentage.
7. Conversion Rate
You can specify your goal in Google Analytics so that you can use the conversion rate metric. The measure can then use to determine how many of your visitors successfully complete the intended goal. By continuously tracking your conversion rate.
Other Google Analytics Metrics
Among the many metrics that can be tracked. A handful is frequently misunderstood and also used in different contexts.
Sessions vs. Clicks
Events vs. Goals
What is the dimension in google analytics?
Definition of dimensions
Dimensions in Google Analytics are just data characteristics. Dimensions can also think of more simply as non-quantitative values in Google Analytics reports.
Various Google Analytics Dimensions Examples
However, using examples is sometimes the most effective approach to teaching a concept.
So, as the campaign, source, medium. And also device category, gender, and ad content. Keywords, day of the week, a month of the year, and also many more factors.
What Difference between a Dimension and a Metric?
Dimension is in line with metrics. which ARE the calculations, because dimensions are non-quantitative (they are NOT computations). As a result, in the example above, if gender is the dimension, then all computations include users, new users, and sessions.
How do Dimensions and Metrics work together?
You have noticed by now that dimensions. However, metrics are frequently used in conjunction with tables (like the one above), bar charts, etc. They tell the entire data story when combined.
It’s crucial to keep in mind, however, that you cannot simply mix any dimension with any measure in Google Analytics! However, this is due to a notion known as SCOPE. Scope, which can take one of three forms. Essentially describes how data is calculated.
1: Dimensions and Metrics for Hit Level
The user’s specific interactions during the session are represented by hit-level dimensions and metrics.
Examples of Hit-Level Dimensions: So, Event Category, Page, and Hostname
Pageview, Time on Page, and also total events are some examples of hit-level metrics.
2: Dimensions and Metrics at the Session-Level
The total of all the hits during the entire session is represented. So, By the session-level dimensions and metrics.
However, We advise exploring Google’s Dimension. and also Metric Explorer if you’re a complete nerd and really want to comprehend. So, all dimensions and measurements. Very cool and also contains far more data than you’ll probably ever need! Read more…
We also an insignificant aspect of analytics is bounce rate. So, Digital analytics has a lot more to it. So, there is a lot to learn about segmentation and traffic analysis. Such as Event monitoring, user tracking, cross-device tracking, correlative analysis, and more.
So, I advise beginning with our GA for Beginners Course. So, If you are interested in developing. your skill set in digital analytics. check out the Intermediate GA program. Additionally, be sure to invest a lot of time in the real data; the only way to improve is via practice.