In this episode, Casey Hill unpacks the uncomfortable truth about A/B testing: most experiments fail. Drawing on data from Optimizely, they discuss why 80-90% of A/B tests don't yield positive results and explore the underlying reasons, including broken processes and blind copycat behavior. Casey shares insights on why common marketing tactics like customer logo bars and social proof often underperform, and introduces a practical framework for smarter, data-backed experimentation focused on real user behavior.
Timestamps:
00:00 Episode Intro
03:13 What is DoWhatWorks?
06:35 Why don’t most A/B tests work?
12:43 What do SaaS teams get wrong with website testing?
15:40 Surprising growth experiments.
19:54 Reassurance subtext increases conversions.
27:58 LinkedIn growth insights.
39:31 Where can you find Casey and DoWhatWorks?
Useful Links:
- Casey on LinkedIn: https://www.linkedin.com/in/caseyhill
- DoWhatWorks: https://www.dowhatworks.io/
- DoWhatWorks on LinkedIn: https://www.linkedin.com/company/dowhatworks-io
Stay Connected:
► Website: https://restartt.ai
► YouTube: https://www.youtube.com/@restartthq
► LinkedIn: https://www.linkedin.com/company/restartthq/
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