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

Growth Marketing FAQ

What’s the difference between growth marketing and marketing?
What’s the difference between growth marketing and marketing?
What’s the difference between growth marketing and marketing?
What’s the difference between growth marketing and marketing?
What’s the difference between growth marketing and marketing?

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