Stat-Talk #11

Stat-Talk #11

4 Usecases for Multi-Armed Bandits

4 Usecases for Multi-Armed Bandits

4 Usecases for Multi-Armed Bandits

Dynamically Divert Traffic To Winning Variations

Dynamically Divert Traffic To Winning Variations

Dynamically Divert Traffic To Winning Variations

Get More Conversions in Limited Time Campaigns and Push Notifications

Get More Conversions in Limited Time Campaigns and Push Notifications

45 mins + 15 mins QnA

45 mins + 15 mins QnA

Topics

checkUnderstand the exploration-exploitation tradeoff between an A/B Test and an MAB.
checkKnow when MABs can get you more conversions and how to use them.
checkLearn from industry case studies of Udemy & Offer Fit.
checkSee how MABs can lead the way towards Personalization algorithms.

Audience

This talk is for you if:

checkYou make changes on your website for a short period of time, like flash sales.
checkYou are apprehensive about MABs and do not properly understand the risks with them.
checkYou already use MABs but want ideas on more avenues for using the algorithm.
checkYou want to personalize your website for different audiences by learning from data.

After this talk you will have a clear understanding of the differences between MAB and A/B testing and a wider view idea on when to use what.

Meet Your Mentor

Meet Your Mentor

Ishan Goel

Ishan Goel

Built the Stats Engine at VWO

Built the Stats Engine at VWO

Founder & Educator

Former Head of Data Science

Author

Trained 60 Leaders

Founder & Educator

Former Head of Data Science

Author

Trained 60 Leaders

Hi! I am a statistician, a teacher and the founder of Thinking Bell.

I am known for simplifying experimentation with analogies, doodles, and games that make decisions sharper and science practical.

I have led data science research at VWO and I have authored the VWO Stats Blog. In 2025, I taught a statistics bootcamp for a team of 60 marketers, product managers and data scientists.

Join me to master experimentation with clarity, depth, and fun.

Stat-Talk #11

4 Usecases for Multi-Armed Bandits

Dynamically Divert Traffic To Winning Variations

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