Analytics-Toolkit — Analytics & Data

What is Analytics-Toolkit?

Analytics-Toolkit is a suite of statistical tools designed for online A/B testing. It addresses the leading reason for failure in online experimentation — poor use of statistical methods. The platform combines state-of-the-art statistics with a unique test ROI optimizer, helping you plan A/B tests that balance business risk and reward.

Who is it for?

Analytics-Toolkit is built for CRO and UX teams, data scientists, and experimentation leads who need rigorous, trustworthy results. It's also useful for product managers and analysts who need to communicate revenue-based outcomes to stakeholders. It is not for teams seeking basic A/B testing software with built-in traffic allocation; it focuses purely on the statistical side of experimentation.

Key capabilities and use cases

With AGILE sequential testing, you can act faster by gaining winners earlier and cutting losers sooner, maximizing revenue without compromising statistical guarantees. The ROI-optimal test planner lets you set confidence requirements and test duration for optimal business returns. Use cases include planning experiments, estimating sample sizes, calculating statistical significance, adjusting for multiple comparisons, and running meta-analyses across experiments.

• AGILE sequential testing — benefit from winners earlier and cut losers faster, maximizing revenue while maintaining statistical rigor.
• ROI-optimal test planning — run tests with the right confidence requirements and duration for optimal balance of business risk and reward.
• Statistical significance calculator — robust p-value and confidence interval calculation for trustworthy results.
• Sample size estimator — determine the sample size requirement of an A/B test to avoid underpowered experiments.
• Power & MDE analysis — estimate false negative rate and sensitivity to ensure tests are designed to detect meaningful effects.
• Multiple comparisons adjustment — adjust p-values when working with multiple KPIs to control false discovery.
• Sample Ratio Mismatch (SRM) check — verify experiments for SRM, a common data quality issue.

Analytics-Toolkit pricing: Free trial: 30 days, no credit card required.. Billing model: Free.

For comparison: the median starting price in Analytics & Data is $39/month, measured across 274 tools we track. See the full SaaS Pricing Index →

Free Trial

All tools available for 30 days; no credit card required. Use the full suite of statistical calculators and planning tools.

Standalone Calculators

Individual statistical tools (A/B Test Planner, Significance Calculator, Sample Size, etc.) are available for free as standalone calculators — ideal for quick tasks without full access.

For full platform features, a paid subscription is required; exact pricing is available on the Analytics-Toolkit website. Contact sales for plan details.

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