State of the art statistics for A/B tests
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A/B Testing Hub
A/B testing statistics done right
Smart and rigorous statistics are often the missing driver of success for CRO & UX teams.
Free online tools are too simple, inefficient, and invite malpractice. Many others appear statistically sound yet make compromises with the very essence of what that means. Claims of tests optimal for your business are made while failing to take any business metrics as input.
The A/B testing hub changes all that and helps you make the most of your online A/B tests.More on stats for success
“Unrivaled statistical rigor combined with a unique method for planning tests for optimal business returns”
Founder of Analytics Toolkit and Author of Statistical Methods in Online A/B Testing
Knowing your way around stats?
You can use any of our statistical tools as a standalone calculator as well:
Plan your A/B tests for optimal balance of risk & reward.
Robust p-value and confidence interval calculation.
Estimate the sample size requirement of an A/B test.
Estimate the false negative rate & sensitivity of a test.
Adjust p-values when working with multiple test KPIs.
Average or cumulative results of multiple experiments.
Check your experiments for sample ratio mismatch.
Multiple ways to connect your data
Faster insights from your analytics data
All important metrics of the web properties you manage available at a glance in our Google Analytics dashboard. A smarter way to gain insights with multi-metric weighted sorting and by automatically surfacing only statistically actionable data is available in our Smart Data Explorer.More on Analysis tools
Google Analytics Tools
Improve your Google Analytics tracking
Level up your Google Analytics game and cut down execution times on common tasks from hours to seconds. Automate key setup & maintenance tasks so you can spend more time on analyses and gaining insights from your data. Only Universal Analytics is supported.More on Google Analytics tools
Identify potential issues with your analytics setup.
Copy/paste views, filters & goals even across accounts.
Apply commonly used filters to Google Analytics views.
Validate the accuracy of E-commerce data in GA.
Referrer spam & ghost traffic solution. Set-and-forget!
Analytics Toolkit has been used by thousands of businesses
“The value added to our agency by these tools is tremendous. I would say it provides Inflow with the best bang for the buck out of any tool we pay for.“
Director of Inbound Services, InFlow
Level up your knowledge of A/B testing statistics
All our content is by Georgi Georgiev who literally wrote the book on statistics in online A/B testing!Start learning
The new standard for planning and analyzing A/B tests is here
The first major overhaul of Analytics Toolkit since its release in early 2014 has finally arrived and it brings with it solutions to many of the hard questions facing practitioners when planning and analyzing A/B tests...Read article