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!) Read! ? If there are any questions, feel free to ask them in the comments.