Google Analytics has expanded with a new set of tools letting developers to run split A/B tests. Watch this ‘how to’ video below: The new ‘Content Experiments API’ lets marketers and developers experiment and build new tools powered by Google Analytics. The tool allows developers to pick and choose from all the testing functionality Google […]
Google Analytics has expanded with a new set of tools letting developers to run split A/B tests.
Watch this ‘how to’ video below:
The new ‘Content Experiments API’ lets marketers and developers experiment and build new tools powered by Google Analytics.
The tool allows developers to pick and choose from all the testing functionality Google Analytics has to offer and to combine it into powerful solutions that best fit your particular need.
Several advantages include:
• Testing Without Redirects: When performing A/B tests with Content Experiments, the snippet of code you place on your “A” page redirects users to the “B” page. This can, in select cases, take away from the end-user experience. Using the Content Experiments API, you are able to test content without using redirects.
• Server-Side Testing: Content Experiments in Google Analytics currently only allows for client-side testing. That is to say, they show changes the visitors would see in their browsers. With the new Content Experiments API, developers can now run tests server-side to test experimentations with different page-dependent elements like a database query. Google offers technical documentation that involves sample Python code through Google’s App Engine.
• Additional Variation Selection Logic: Applying the multi-armed bandit approach to your Content Experiment allows you to serve variations of your A/B testing. Using the new Content Experiments API, developers can bypass Google’s programmatic optimization while still reporting the results of your tests within Google Analytics.
The full details of the new Content Experiments features can be found on Google’s Developers site here.
