A/B Testing
Google optimize
Optimize the conversion of your website or application.
How to improve the conversion journey of your website?
Would you like to improve the conversion journey of your website? With the Google Optimize tool, it is now easier to conduct A/B tests. These tests allow you to make strategic changes to your site based on the highest conversion rates observed from your consumers’ behavior.
What is A/B testing?
A/B testing is a process that allows you to test two versions of the same page and measure their impact on consumers. The goal is to optimize tactical choices for a specific conversion objective (lead generation, form submission, calls, etc.). A/B testing is a powerful tool that, in most cases, results in a significant increase in conversion rates.
Previously, this method of optimizing a website was a rather expensive and relatively difficult solution to implement. It was therefore mainly used by large companies. Today, tools such as Google Optimize have made A/B testing much more accessible.
What is Google Optimize?
Google Optimize is a free A/B testing tool. It allows you to easily and quickly set up A/B tests. However, the free version is limited to predefined objectives. It may therefore be recommended to use a paid version depending on your needs and goals.
Our methodology for A/B testing
Our goal is for each test to provide you with directly actionable results. This requires excellent preparation and documentation of these experiments.
Need help?
With Universem, optimize your performance with precise and informed A/B testing!
Our procedure:
1.
Methodology
Planning and strategy definition
We approach A/B testing by starting with the definition of your objectives, the target audience, conversion measurement tools, and the overall experience for the clients or users of your site.
2.
Methodology
Hypotheses
We then establish hypotheses in order to identify reasons or obstacles to conversion.
3.
Methodology
Documentation
This step is essential as it allows us to formalize each stage of progress, from the development of the strategy, to the justification of the hypotheses, and the exploration of the consumer journey.
4.
Methodology
Test
Based on the established hypotheses, we implement experiments in which the site traffic is randomly and fairly directed to either version.
5.
Méthodologie
Analyse
Once these tests have reached a significant audience, we can analyze the micro or macro conversion rates between the proposed versions. The hypotheses will then be confirmed, and the strategic choices for implementing a permanent change will be possible.
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Data Analytics
Turn your data into actionable insights to make informed and effective decisions.
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Google Analytics
A wealth of information to drive your digital marketing.
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App Analytics
Optimize the experience offered to your users.
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Google Analytics Training
A program spread over two levels to help you step by step.