Web Lab Tool

Purpose: analyze web experiments and SEO tests across pages and components for data-driven decisions.
How it works conceptually: collect metric data per variant over a time window, compute deltas, and evaluate significance using established statistical methods. It supports multiple metrics, traffic splits, and segmented views to reflect real user diversity.
Who benefits: growth engineers, SEO analysts, product managers, and data teams seeking quick, rigorous evidence to prioritize changes. Unique value: integrated, end-to-end experiment analysis with automated uplift, significance, and export options, without reliance on external dashboards. Core features: variant definitions, metric selection, time window control, traffic allocation, data source connections, and multi-metric output with confidence intervals and clear recommendations. Use cases: testing a new landing page, comparing headline variants, or evaluating design changes for conversion and engagement.