Teal 3.0

A/B Testing

A/B Testing is a randomized experimentation process in which two or more versions of a variable (a website, etc.) are shown to different segments of website visitors at the same time to see which version is best. A/B Testing is most used for website optimization and helps Digital Marketers, for instance, support their strategies with data-driven proof. By choosing the version of the variable that is most beneficial to your company, you increase ROI.

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Example SEO Resume Achievements

Used A/B Testing to find out our second website showed better business metrics, and worked with UX Design to optimize the second website
Designed and implemented A/B experiments for our product to improve the conversion rate by 20 basis points and reduce churn by 10 basis points
Led a global incentive program to increase partner success by 73% via a series of personalized emails with A/B testing
Created A/B testing and MVT (multivariate) testing roadmaps for 500 clients to optimize websites
Drive core insights from available data to suggest A/B tests that drive improvements in site execution and experience

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