Every business website wants visitors converting from just visitors to something else. eCommerce websites want visitors buying products. SaaS web apps want visitors signing up for a trial and converting to paid visitors. News and media websites want readers to click on ads or sign up for paid subscriptions.
This is where A/B testing can help you by providing you a method for comparing two versions of a webpage to determine which one performs better. A/B testing uses data & statistics to validate new design changes and improve your conversion rates.
The [module] integrates Magnolia with Google Analytics experiments, a powerful framework that enables you to test almost any change or variation to a website to see how it performs in optimizing for a specific goal.
Google Analytics experiments is fully integrated with Magnolia providing you a user interface for creating and controlling experiments based on variations created by Magnolia’s Personalisation. It also takes advantage of Magnolia’s Marketing tags for inserting the snippets required by Google Analytics to do the testing.
All you have to do is configure your experiment in Magnolia, and let the Google Analytics framework do the distribution and analysis of the variants.