Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
ABWex is a free A/B test statistical significance calculator. It is positioned more as an experiment analysis aid for marketing, growth, and product teams than as a full experiment management platform. It supports both frequentist and Bayesian statistical frameworks, with all calculations performed locally in the browser via JavaScript. No account is required, and it does not upload conversion, visitor, or revenue data.
In frequentist mode, ABWex uses a two-proportion Z-test to calculate the p-value, Z-score, confidence interval, and relative lift, while also showing the underlying formulas. In Bayesian mode, it uses a Beta-Binomial model to calculate P(B beats A), and quantifies the business risk of choosing the wrong variant through expected loss. The tool also supports multivariate comparisons with up to four variants, A/B/C/D, automatically generating pairwise comparisons and highlighting the winning version.
For marketing scenarios, the revenue impact calculator and sample size estimator are especially useful. Users can enter average revenue per conversion and monthly traffic to forecast monthly and annual revenue changes. They can also estimate the required sample size per variant and test duration based on baseline conversion rate, minimum detectable effect, statistical power, and significance level.
The main text clearly states that ABWex is free to use, with no mention of subscriptions, enterprise plans, or paid upgrades. It runs in a web browser, uses no cookies, has no analytics tracking, requires no account, and is open source on GitHub. Support channels are mainly email and GitHub; there is no visible information about live chat, a documentation center, SLA, or enterprise technical support.
Its strengths are transparent statistical methods, privacy-friendly design, low learning curve, and coverage of key areas such as significance testing, Bayesian probability, sample size estimation, and revenue impact. Its limitations are that it supports only up to four variants, does not mention integrations with GA4, ad platforms, Optimizely, VWO, or similar systems, and lacks experiment history, team collaboration, permission management, or automatic data collection. As a result, it is better suited as a calculator than as an enterprise-grade experimentation platform.
ABWex is suitable for product managers, growth engineers, marketing teams, data analysts, and startups with limited traffic that want to use Bayesian methods to support decision-making. Access from mainland China is not covered in the source text, so it is considered unknown. Since the tool is free, no payment information is provided. If you need a full experimentation platform, you can compare it with Optimizely, VWO, and similar tools; if you only need quick calculations, ABWex offers very strong value for money.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on abwex.com official site.
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