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Webinar
Minimize Conversion Loss in CRO Testing with Multi-Armed Bandits
Duration - 45 minutes
Speakers
Ishan Goel
Lead Data Scientist, VWO
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