Run split tests faster, more efficiently and with better accuracy! The A/B testing significance calculator provides an advanced statistical approach to A/B and Multivariate testing in Conversion Rate Optimization, landing page optimization, e-mail template optimization, mobile app optimization and more. With AGILE A/B testing you get control over statistical significance and power while doing interim analysis and requiring less users to complete tests, on average. This A/B test calculator als...| www.analytics-toolkit.com
The concept of statistical significance is central to planning, executing and evaluating A/B (and multivariate) tests, but at the same time it is the most misunderstood and misused statistical tool in internet marketing, conversion optimization, landing page optimization, and user testing.| Blog for Web Analytics, Statistics and Data-Driven Internet Marketing | Analy...
The one-stop-shop for statistical planning and analysis of online A/B tests. Analytics Toolkit's advanced A/B test statistical calculator enable your A/B testing program to reach new levels of statistical rigor and efficiency. Plan and analyze A/B tests with ease and get results you can trust.| www.analytics-toolkit.com
A central feature of sequential testing is the idea of stopping “early”, as in “earlier compared to an equivalent fixed-sample size test”. This allows running A/B tests with fewer users and in a shorter amount of time while adhering to the targeted error guarantees.| Blog for Web Analytics, Statistics and Data-Driven Internet Marketing | Analy...
Running shorter tests is key to improving the efficiency of experimentation as it translates to smaller direct losses from testing inferior experiences and also less unrealized revenue due to late implementation of superior ones.| Blog for Web Analytics, Statistics and Data-Driven Internet Marketing | Analy...
