State of the art statistics for A/B tests

Address the leading reason for failure in online experimentation - poor use of statistical methods.

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

Use all our tools for 30 days! No credit card required.

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.

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.

Knowing your way around stats?

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

A/B Test Planner

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

Statistical Significance

Robust p-value and confidence interval calculation.

Sample Size

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

Power & MDE

Estimate the false negative rate & sensitivity of a test.

Multiple Comparisons

Adjust p-values when working with multiple test KPIs.

Meta-Analysis

Average or cumulative results of multiple experiments.

Sample Ratio Mismatch

Check your experiments for sample ratio mismatch.

Supported API connections

Analytics Toolkit has been used by thousands of businesses

“The AGILE testing framework empowers us to move faster, run more experiments, manage risk more effectively, and clearly communicate results to stakeholders.“

Chris Chaky
Associate Director of Experimentation & Analytics
Harvard Business Review