Instantly see if your A/B testing results are significant & explore what happens as you adjust user volumes, conversion rates, and confidence levels. Gain intuitive understanding of your results.
Hello makers!
Nicolas and I are super excited to share our newest release with you: the free A/B test calculator! 🚀
Throughout its development, we were obsessed with three main goals:
1. Visual and Clear: We aimed to make it visual with graphs & straightforward feedback.
2. Interactive: The tool is designed to be interactive, and lets you play with different scenarios.
3. Simple and informative: We’ve broken down all the A/B testing stats into plain English and laid out the formulas for you. This way, you understand exactly how each number on the screen is calculated!
Our ultimate goal? We want to make the complexities of A/B testing stats understandable for everyone. We’re hoping this tool helps demystify statistics for you and encourages you to experiment more with A/B testing 💪
Happy testing!
That is it, we are finally launching on PH!
Making things simple is hard, we spend a lot of energy simplifying a topic that is usually reserved for data scientists and mathematicians 👩🔬
👉 Do you truly understand what happens if you increase the volume of an A/B test?
👉 Do you know what it means to have a significant result?
If you can understand something new just by playing with your data, our mission will be accomplished 💪
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