AB Tasty

AB Test is an online platform that enables users to compare different versions of a webpage or digital content to determine which version performs better in terms of conversion, engagement, or other key metrics. The platform collects real‑time interaction data, runs statistical analyses, and provides actionable recommendations for optimizing content performance.

The platform integrates with web pages via a lightweight JavaScript snippet that captures user interactions, such as clicks, scrolls, and scroll depth. These interactions feed into a statistical engine that compares version performance across multiple metrics, delivering statistically significant results when the sample size meets predefined confidence thresholds.

The platform supports a variety of experiments, including version testing, multivariate testing, and audience segmentation tests. Users can define control and variant versions, set success criteria, and let the system automatically allocate traffic to identify the winning variant based on predefined success metrics (e.g., conversion rate, click‑through rate, revenue impact).

When a user visits a page, the system evaluates the visitor’s profile and dynamically allocates traffic to the control or variant versions based on real‑time traffic distribution. As new visitors arrive, the system continuously re‑evaluates traffic allocation to maximize conversion outcomes while respecting traffic‑saving constraints.

All data collection adheres to GDPR and CCPA regulations, with options for users to disable tracking or limit data collection. The platform stores interaction data in encrypted form and adheres to strict access controls, ensuring that only authorized personnel can view or modify test configurations and results.