Want to know how your users are accessing your business website? Would you like to gain insights on their journey to your website, products and services? How would you know what encourages them to take certain actions on your website and what’s the possible reason that makes them drop your webpage? All these questions can be answered through Google Analytics Analysis Hub.
Google Analytics offers a collection of advanced techniques that let you gain deeper insights into your customers’ behavior.
Shared Analysis: You can also share your insights easily with an authorized person within your organization. The person to whom you are about to share your analysis must have Read & Analyze permission. He can only view the analysis and has no authority to edit the document.
Exporting Data: You can export the data in various formats such as Google Sheets, TSV, CSV, PDF, PDF (all tabs).
How to access Analysis:
Follow the steps below to access Analysis on your Google Analytics platform:
- First of all, you have to sign in to Google Analytics with your registered email ID.
- On the left panel, you’ll find “Analysis Tab” under “EXPLORE”.
- Click on the “Analysis Hub” tab.
- From here, you can either start a new analysis from scratch or use a template from the template gallery to get started quickly.
How to uncover deeper insights using Google Analytics
New to Google Analytics? Don’t have any idea how to start? No worries! It offers many Template galleries that you can use to start your own analysis. Or you may create a new analysis from scratch.
Let’s explore the various types of analytics templates that you can use to create your own analysis easily:
1. Exploration
Exploration technique lets you uncover and visualize meaningful data through graphs and tables. As per your business or marketing objectives, you can manage the rows and columns of the table. Not all the data is required at the same time. You can easily refine the data using segments and filters and come up with relevant data to make informed decisions.
You can display data in the form of a Table, Donut chart, Line chart, Scatterplot, Bar chart and Geo Map.
2. Funnel analysis
Let’s say you are running a physical store where you sell sports shoes for men, women and kids. You hired a brand marketing and advertising agency to grow your business online. The agency assisted you in developing an e-commerce website and advertise your products online through Google shopping ads. And, as a result, you have got many business conversions. Now, you would like to know what steps a particular user takes to complete a task on your website. This breakdown can be visualized through Funnel Analysis.
You can see at what steps your gaining and losing your customers, how your prospects get converted in your buyers, how one-time buyers are repeating purchases on your website, and a lot more.
3. Path analysis
Path analysis technique lets you uncover insights in the form of tree graphs. You can analyze the top-performing pages on your website that new users visit after the home page. Besides, you may get insights into the looping behavior on your website to figure out where your user are stucking. And, you can do a lot more! All this data (event stream, the collection of events users triggered and the screens they viewed) can be visualized in the form of Tree Graphs.
4. Segment overlap
Segment overlap technique is all about defining subsets of users, sessions, and events.
This technique allows you to create a new segment in three different ways:
- Define your own set of rules and parameters to create a custom segment.
- Use a suggested segment that has been created based on common use cases.
- You can also create a new segment from the context menu of your data point.
So, create a segment based on users, sessions and events and get deeper insights into your users’ behavior.
5. User explorer
Would you like to drill into individual user activities? The User Explorer technique is a solution. Let’s understand it with an example. On your e-commerce website, some users who have shown their interest in women’s sports shoes, are dropping your web page after adding products in their cart. While the users who have shown interest in men’s sport shoes are continuing the check-out process successfully.
Now, you would like to know what’s stopping those users who have shown interest in women’s sports shoes to continue to the checkout page. That means you have to analyze this specific set of users’ activities. And, the User Explorer technique allows you to do this quite easily.
6. Cohort analysis
Cohort is a set of users who share characteristics over time. The Cohort analysis technique will allow you to gain meaningful information about the user groups’ behavior and performance who share common attributes. This can help you track engagement or retention over time.
The analysis can be done in a daily, weekly, or monthly time frame. You can analyze data of how many users belong to each cohort for a particular time period.
7. User lifetime
When it comes to analyzing the value and behavior of your customers over their lifetime, User Lifetime technique in Google Analytics 4 property is all you need. Learn how they behave as a customer on your site or app, which source, medium or campaign brought users with the highest lifetime revenue for a particular time duration. Get insights into the higher or lower purchase probability from users of your active campaign. Figure out when your users last purchased a product or engaged with your website.
What are the Limits of Analysis?
In Google Analytics, the Analysis techniques come with the following limits that you should know about. You can create up to:
- Individual Analysis: 200 individual analyses per user per property.
- Shared Analysis: 500 shared analyses per property.
- Apply Segments: 10 segments per analysis.
- Apply Filters: 10 filters per tab.
Final Words
The right business decisions require accurate data analysis. And, Google Analytics offers a number of ways to gain insights into your prospects and customers over time. We hope you got the point! Stay tuned with us and we’ll be back soon with more interesting stuff.
