Google Optimize's sunset in September 2023 has left many businesses scrambling for alternative A/B testing solutions. While there are numerous options available, not all of them offer seamless integration with Google Tag Manager (GTM) and Looker, two essential tools for data collection and analysis.
To help you make an informed decision, we've compiled a list of the best A/B testing tools that are compatible with GTM and Looker:
Adobe Target is a comprehensive A/B testing platform that offers a wide range of features, including:
Adobe Target integrates seamlessly with GTM and Looker, making it easy to collect and analyze data from your experiments.
Optimizely is a powerful A/B testing tool that offers advanced personalization and experimentation capabilities, including:
Optimizely integrates with GTM and Looker, providing a streamlined workflow for experiment setup and data analysis.
VWO is a user-friendly A/B testing tool that is easy to use and affordable, including:
VWO integrates smoothly with GTM for simplified experiment management, and its Looker integration enables comprehensive data analysis.
SiteSpect is a versatile A/B testing tool that is a good choice for enterprise-level needs, including:
SiteSpect offers robust integration with GTM and Looker, allowing for seamless data collection and analysis across various platforms.
: AB Tasty is a feature-rich A/B testing tool that is a good choice for businesses that need visual experimentation and personalization, including:
AB Tasty integrates seamlessly with GTM for streamlined experiment deployment, and its Looker integration provides actionable insights.
In addition to these top contenders, several other A/B testing tools offer varying degrees of compatibility with GTM and Looker. These include Kameleoon, Convert Experiences, and Statsig.
Choosing the Right Tool for Your Needs
Export Data from A/B Testing Tools:
A/B testing tools allow you to export data in various formats, such as CSV or JSON. You can use the A/B testing tools API to retrieve the data you need.
Prepare Data for Google Data Studio:
Once you've exported the data from A/B testing tools, you may need to clean and format it appropriately for use in Google Data Studio. Ensure that the data is structured in a way that makes sense for the type of visualizations you want to create.
Store Data in Google Sheets or BigQuery:
You can upload your cleaned and formatted data to Google Sheets or Google BigQuery. Google Sheets is a more straightforward option for smaller datasets, while BigQuery is more suitable for larger datasets.
Connect Google Data Studio to Data Source:
1. Open Google Data Studio and create a new report.
2. Add a data source by connecting to either Google Sheets or Google BigQuery, depending on where you stored your A/B testing tools data.
Create Visualizations:
Once your data source is connected, you can start creating visualizations in Google Data Studio. Choose the appropriate chart types and configure them based on your A/B testing tools data.
Schedule Data Updates (if needed):
If your data changes regularly, you might want to set up automatic updates for your Google Sheets or BigQuery data source to keep your Google Data Studio report up to date.
The sunset of Google Optimize has created an opportunity to explore alternative A/B testing solutions that offer enhanced capabilities and integrations. By carefully evaluating your needs and considering the factors mentioned above, you can select the right tool to power your optimization efforts and drive business growth.
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