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Minimize Conversion Loss in CRO Testing with Multi-Armed Bandits

Duration - 45 minutes
Ishan Goel

Ishan Goel

Lead Data Scientist, VWO

Anshul Gupta

Anshul Gupta

Senior Data Scientist at VWO , VWO

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Although experimentation and CRO are being widely adopted by organizations in every industry, there are areas within them that remain unknown to many. One such area is that of Multi-Armed Bandit (MAB) testing. MABs are optimization tools that come in handy in a variety of industry use-cases where A/B tests are unfruitful.

In this webinar, VWO’s in-house Data Scientists Ishan Goel and Anshul Gupta will take you through what Multi-armed Bandit is, when you should use MAB instead of A/B testing, and when you shouldn’t.

Key Takeaways

  • How to choose between AB testing and MAB testing for your experiments and use cases
  • Understand the difference between AB test and MAB tests (With the help of real-life intuitions)
  • How VWO’s Bayesian Multi-Armed Bandit algorithm work
  • How to curb bias in MAB reports and perform a statistically valid test

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