The benefits of experimentation are well-researched and documented. But that doesn’t always equate to an increasing conversion rate.
In this episode, Jon and Ryan explore why experimentation results don’t always map one-to-one with the real-world outcomes you expect.
Check out the full episode to learn:
- How post-launch variables make attribution less than clear.
- Why experiment segmentation means test results aren’t summative.
- The effect of false positives.
If you have questions, ideas, or feedback to share, connect with us on LinkedIn. We’re Jon MacDonald and Ryan Garrow.
Informations
- Émission
- FréquenceDeux fois par semaine
- Publiée19 novembre 2024 à 08:00 UTC
- Durée27 min
- Épisode120
- ClassificationTous publics