Getting a winning variation on the first A/B test is highly unlikely. However, no winner A/B experiments are not at all time or money wasters. On the contrary, they provide valuable optimization ideas for follow-up A/B experiments.
In our new blog post, we explain:
- Why there can be no winner on an A/B test
- Why no winner A/B tests can be helpful
- How to interpret no winner A/B tests results (example included!)
💬 If there are any questions, feel free to ask them in the comments.