Advanced A/B testign statistical tools

State of the art statistics for A/B tests

Up to 80% faster tests. Unrivaled statistical rigor. Experiments planned for optimal business returns.

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Faster tests icon Act faster with AGILE sequential testing

Benefit from winners earlier and cut losers as quickly as possible to maximize revenue without compromising your test’s statistical guarantees.

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ROI-optimal tests icon Plan A/B tests with optimal business returns

Run tests with the right confidence requirements and for just as long as needed. Achieve optimal balance of business risk and reward with our unique test ROI optimizer.

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Robust statistics icon Enjoy statistical results you can trust

Statistically rigorous online A/B tests have never been as easy to plan and analyse. Revenue-based metrics help convince stakeholders and drive action.

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A/B Testing Hub

A/B testing statistics done right

A/B testing calculator

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.

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“Unrivaled statistical rigor combined with a unique method for planning tests for optimal business returns”

Georgi Georgiev

Georgi Georgiev
Founder of Analytics Toolkit and Author of Statistical Methods in Online A/B Testing

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Knowing your way around stats?

You can use any of our statistical tools as a standalone calculator as well:

A/B Test Planner
A/B Test Planner

Plan your A/B tests for optimal balance of risk & reward.

Statistical Significance
Statistical Significance

Robust p-value and confidence interval calculation.

Sample Size
Sample Size

Estimate the sample size requirement of an A/B test.

Power & MDE
Power & MDE

Estimate the false negative rate & sensitivity of a test.

Multiple Comparisons
Multiple Comparisons

Adjust p-values when working with multiple test KPIs.

Meta-Analysis
Meta-Analysis

Average or cumulative results of multiple experiments.

Sample Ratio Mismatch
Sample Ratio Mismatch

Check your experiments for sample ratio mismatch.

Supported API connections

Analytics Toolkit Data API Analytics Toolkit Reporting API MixPanel

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.“

Chris Hickey
Director of Inbound Services, InFlow

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Learning Center

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!

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Featured

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...

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