Bell Statistics

Webinar

Geo experiments versus A/B tests, and how to tell which one you need

Ran
Time and length
7:30 PM GMT+3 · 60 minutes
Where
Online

Trusted by teams at

  • 365Scores
  • Arpeely
  • Flare
  • GlassesUSA
  • Hippo
  • IronSource
  • Lemonade
  • Lumen
  • Lusha
  • Melio
  • Monday.com
  • Moonactive
  • Moonshot
  • MyHeritage
  • Outbrain
  • Papaya
  • Payoneer
  • Playstudios
  • Playtika
  • Plus500
  • ReasonLabs
  • Roundforest
  • Selina
  • Simply
  • Sunflower
  • Webeselense
  • ZipRecruiter
  • ZoomInfo

Attribution models are fast and always on, but correlational by construction - they cannot say what would have happened without the campaign. The session covers what a geo experiment actually is, when it replaces a standard A/B test, and how treatment and control regions get chosen.

What we cover

0:00

Welcome

0:05

What actually is a geo experiment?

0:10

When do you need one instead of a standard A/B test?

0:15

How do treatment and control regions get chosen

0:20

what happens when they aren't comparable?

0:30

Q&A

Your hosts

  • Allon Korem

    Chief Executive Officer

    Expert in advanced A/B Testing methodologies. Worked at Google and Wix.com.

    LinkedIn
  • Oryah Lancry-Dayan

    Lead Data Scientist

    Expert in research planning, data analysis and statistical methodology.

    LinkedIn