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, VWO

Get Recording Now

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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