Ultimate Guide to A/B Google Analytics Testing Simplified 101

|

Understanding A/B Google Analytics Testing

Do you know the full potential of your website? Do you wish to know what changes, your website requires to gain more traction or conversions? If yes, then you have certainly landed at the right place!

Upon a complete walkthrough of this article, you’ll gain in-depth knowledge of how to set up A/B Google Analytics Testing with ease! You’ll gain a holistic understanding of Google Analytics and how you can leverage it to experiment and enhance the elements of your website that can help you boost your revenue to new heights!

Table of Contents

Prerequisites

  • An active Google Analytics account.
  • Basic understanding of HTML Tags.

Introduction to Google Analytics

Google Analytics Testing: Google Analytics Logo
Image Source: Google Analytics

Google Analytics is a free Web Analytics tool offered by Google that can be used to track and report Website Traffic. Using Google Analytics, you can also track a variety of other metrics and website activities such as Page Duration, Bounce Rate, Goal Conversions, and a lot more! It is one of the most popular options available in the market, owing to its extensive reporting capabilities.

It is very useful in monitoring Search Engine Optimization (SEO) results and related Product Marketing activities. It includes several features that allow users to interact with other platforms and collect Website Data. It enables the users to segment their Campaigns based on a variety of variables to better understand how they work and make data-driven decisions to optimize performance.

Key Features of Google Analytics

Google Analytics provides comprehensive information about user behavior associated with your website. Google Analytics has many advantages. Some of them are as follows:

  • Google Analytics allows the user to chalk out Goals for specific pages inside the website. Each time a user completes the specified Goal, Google Analytics marks it as a conversion.
  • Google Analytics Testing allows you to monitor the performance of different elements on your webpage.
  • It allows the user to monitor each step that the visitor takes while surfing through the website.
  • It allows you to monitor the Marketing Performance of your company, helping you optimize your strategies with data-driven decision-making.
  • It provides detailed insights related to your Marketing Strategies.
  • It is capable of depicting the data in a user-friendly format.

Introduction to A/B Testing

A/B Google Analytics Testing
Image Source

An A/B Test is a randomized experiment that leverages two or more variants of the same web page (A and B) where A is the Original webpage and B is the Modified webpage. It is a method of comparing two different versions of the same web page to find out which one of them performs the best.

To perform an A/B test, you choose a webpage of your choice on which you wish to perform the A/B Test, then you create a modified version of the same by making slight changes to it. The change can be as simple as a new title, the addition of a new button, or a complete redesign of the web page. Then, show the original version to half of your traffic and the modified version to the other half.

As the visitors are served with either the original or modified version of the webpage, their participation in each experience will be measured and collected in the Dashboard and analyzed using a Statistical Engine. You can then determine whether the modifications you have done to your webpage are impacting the visitors positively or negatively. In the later section of this article, you will see how to perform A/B Google Analytics Testing with ease!

Simplify your Data Analysis with Hevo’s No-code Data Pipeline

A fully managed No-code Data Pipeline platform like Hevo Data helps you integrate data from 100+ data sources like Google Analytics for free to a destination of your choice in real-time in an effortless manner. Hevo with its minimal learning curve can be set up in just a few minutes allowing the users to load data without having to compromise performance. Its strong integration with umpteenth sources allows users to bring in data of different kinds in a smooth fashion without having to code a single line.

Get Started with Hevo for free

Check out some of the cool features of Hevo:

  • Completely Automated: The Hevo platform can be set up in just a few minutes and requires minimal maintenance.
  • Connectors: Hevo supports 150+ data sources and integrations to SaaS platforms, files, databases, analytics, and BI tools. It supports various destinations including Google BigQuery, Amazon Redshift, Snowflake Data Warehouses; Amazon S3 Data Lakes; and MySQL, MongoDB, TokuDB, DynamoDB, PostgreSQL databases to name a few.  
  • Real-Time Data Transfer: Hevo provides real-time data migration, so you can have analysis-ready data always.
  • 100% Complete & Accurate Data Transfer: Hevo’s robust infrastructure ensures reliable data transfer with zero data loss.
  • Scalable Infrastructure: Hevo has in-built integrations for 100+ sources that can help you scale your data infrastructure as required.
  • 24/7 Live Support: The Hevo team is available round the clock to extend exceptional support to you through chat, email, and support calls.
  • Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
  • Live Monitoring: Hevo allows you to monitor the data flow so you can check where your data is at a particular point in time.
Sign up here for a 14-day Free Trial!

4 Key Elements to Include in A/B Google Analytics Testing

When it comes to your A/B Google Analytics Testing, what you test/experiment with, depends on the nature of your business. However, there are four key elements that all brands must include in their A/B Google Analytics Testing. They are as follows:

1) Title

The title of your webpage should be engaging and should explain what your content is all about. Try different versions of your title while performing A/B Google Analytics Testing to see which one gets a better response from the visitors.

2) Call to Action Button

 If you are not getting much traction on your webpage, check the placements of your Call to Action button on the webpage. You can also change the color, shape, size, and font to see what your audience resonates with the most. Just test one change at a time. If you enter too many variables, then it becomes extremely difficult to determine which one has a real effect and in that case, A/B Google Analytics Testing doesn’t produce the desired results.

3) Sales Copy

If you’re not getting a lot of conversions, your Sales text may be confusing or inaccessible. Try using different versions of a Sales Copy while performing A/B Google Analytics Testing. You can also modify the Pricing Plans of your services.

4) Testimonials

Make sure you place the Testimonials in the right place while performing A/B Google Analytics Testing. Testimonials should be placed at the bottom of your Sales Funnel, where the visitors are most likely to convert into customers.

Steps to Set up A/B Google Analytics Testing

There are numerous premium tools available in the market that help perform A/B Testing but you can use Google Analytics to perform A/B Testing for free! To perform A/B Google Analytics Testing, you need to follow the steps given below:

  • Step 1: Log in to your Google Analytics account.
  • Step 2: In the left panel, you will see a bunch of options. Select Behavior.
Google Analytics Testing: Behavior option
Image Source
  • Step 3: Under the Behavior section, click on Experiments.
  • Once you’ve opened the Experiments section, you will have an in-window that allows you to create a new Experiment.
Google Analytics Testing: All Experiments Page
  • Step 4: Click on the Create Experiment option.
Google Analytics Testing: Create Experiment
  • Upon landing on the Create Experiment page, you will come across certain fields that are going to help you define the nature of your experiment.
  • Step 5: Under the Name of this Experiment field, give a name to the experiment that you are going to create.
Google Analytics Testing: Name of the Experiment
Image Source
  • Step 6: Select the Objective for your Experiment. For eg, Bounce rate.
Google Analytics Testing: Objective for the Experiment
Image Source
  • Step 7: Enter the Percentage of traffic you wish to conduct the Experiment for.
Google Analytics Testing: Percentage of Traffic
Image Source
  • Step 8: You can also select the amount of time for which you want your Experiment to run on your web pages.
Google Analytics Testing: Advanced Options
  • Step 9: Once you have entered all the fields correctly. Click on Next to move to the next page.
  • Step 10: Once you click on Next. You will land on the “Configure your Experiment” Page
  • Once you land upon the “Configure your Experiment” page, you will see two fields named Original Page and Variant Page.
  • Step 11: Under the Original Page field, enter the URL of your original webpage.
  • Step 12: Under the Variant field, enter the URL of your modified webpage.
Google Analytics Testing: Configure the Experiment
Image Source
  • Step 13: Once you have added the URLs for both pages, select Next Step.
  • A script will be generated automatically which will eventually be used to monitor the effect of the variant on the webpage.
Google Analytics Testing: Script generated
Image Source
  • Step 14: Once the code is generated, go to your webpage and paste the generated code after the opening head tag of your original webpage.
  • Step 15: Once you follow the above steps in the correct sequence then select Start your Experiment. This will launch the experiment that you have created.
  • Step 16: Once you have launched your experiment, go back to the Experiments section. You can see the performance of your running experiments there.
Google Analytics Testing: Experiments section
Image Source

This is how you can perform A/B Google Analytics Testing with ease in a hassle-free manner.

Conclusion

The idea behind setting up A/B Google Analytics Testing is to help individuals, teams, and companies understand what works for their webpage and what does not. It also allows them to refine their Marketing Strategies and thereby boost the traction on their website! In this article, you learned about Google Analytics, its key features, and the steps required to set up A/B Google Analytics Testing from scratch.

Integrating and analyzing your data from a diverse set of data sources can be challenging and this is where Hevo comes into the picture. Hevo Data is a No-code Data Pipeline and has awesome 150+ pre-built integrations that you can choose from. Hevo can help you integrate your data from numerous sources such as Google Analytics for free and load it into a destination to analyze real-time data with a BI tool and create your Dashboards. It will make your life easier and make data migration hassle-free. It is user-friendly, reliable, and secure.

Visit our Website to Explore Hevo

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand.

Share your experience of learning about how to set up A/B Google Analytics Testing. Let us know in the comments below!

mm
Former Research Analyst, Hevo Data

Rakesh is a research analyst at Hevo Data with more than three years of experience in the field. He specializes in technologies, including API integration and machine learning. The combination of technical skills and a flair for writing brought him to the field of writing on highly complex topics. He has written numerous articles on a variety of data engineering topics, such as data integration, data analytics, and data management. He enjoys simplifying difficult subjects to help data practitioners with their doubts related to data engineering.

No-Code Data Pipeline for Google Analytics