ABtestit

ABtestit is a software platform designed to help teams design, run, and interpret A/B tests and other controlled experiments across web and mobile platforms. It supports the full experimentation lifecycle, from formulating a hypothesis to evaluating uplift and statistical significance, and it is used to optimize conversion, retention, and engagement.

The platform offers an experiment designer that supports split and multivariate tests, traffic allocation, guest and control groups, and audience targeting based on attributes and events. It provides feature flag functionality for gradual rollouts, variants management, and scheduling. Statistical analysis is available in both frequentist and Bayesian modes, with power calculations, interim analysis, p-values, confidence intervals, and Bayesian posterior probabilities. Results are presented through dashboards, funnels, lift charts, and significance indicators, with the ability to export findings and automate reporting.

ABtestit's integration and data ecosystem include a REST API and SDKs for JavaScript, iOS, and Android, enabling embedding of experiments into apps and websites. It connects to analytics platforms and data warehouses for event data and metrics, and supports event- and rule-based tagging, custom dimensions, and data governance features. The platform emphasizes privacy and compliance through access controls, audit trails, data minimization options, and adherence to applicable regulations.

In practice, ABtestit is used by product teams across industries to test changes before full deployment, supporting evidence-based decision making and faster iteration cycles. It aims to provide a scalable, transparent, and reproducible approach to experimentation.