Numerous times our clients and customers ask: how many visitors do I need to test in order to get statistically significant results in an A/B test? Unfortunately, there is no straightforward answer to this question as it depends on a number of factors. In the past, we have provided you with an A/B test duration calculator in Excel and also provided with an online tool to calculate the same. However, how it is calculated is sort of a black magic.
In following presentation, I describe just what exactly happens when we calculate number of visitors needed for an A/B test. As the presentation aims to be a high level overview, I won’t be delving into mathematics of it.
Hope you like the presentation! Please let me know if you have any questions or need clarifications.
Stay up to date
- Interesting results from our new case study - "A/B Testing Between Free and Paid Signups: Sometimes Free is Better" http://t.co/gmd9jyBFwA #
- @JuliaFok Our $129/mo package that gives 30,000 visitors to test seems like a good fit for you. #
- New post on our blog: Extend Your Conversion Funnel Beyond the "Thank-You" Page http://t.co/rEEtlVrxv9 #
- RT @SantiagoEcomm: @Wingify's #SplitTesting blog is great resource to follow for knowledge & case studies on #ConversionRateOptimisation ht… #
- RT @chinchang457: The new toy @wingify >:) http://t.co/NbGLNZ0G61 #
Write for this blog!
We accept high quality articles related to A/B testing and online marketing. Send your proposals to email@example.com