Web Analytics Tool

The tool converts raw web analytics data into structured metrics and insights. It ingests data from connectors, normalizes events, and computes core metrics such as sessions, pageviews, conversions, and revenue. Target users include marketing analysts, data engineers, and product managers who need auditable metrics and cross-channel insights. Unique value lies in consistent metric definitions across data sources, robust segmentation, and integrated attribution modeling that support governance and reproducibility.
The tool conceptually applies domain rules: metric definitions are configurable, data is normalized to UTC, and outputs are time series and cross tabulations. Calculations include conversion rate and engagement score, used to evaluate performance across funnels and cohorts. Advanced capabilities include multiple attribution models (last-click by default, linear, position-based), anomaly detection, and automated exports for dashboards. Use cases include campaign ROI assessment, cross-device analysis, and landing page optimization.
Inputs and outputs are driven by connectors that supply events, with sample inputs and outputs validated by a schema. Outputs include visits, sessions, pageviews, conversions, revenue, engagement_score and time to conversion. Exports can be JSON or CSV for downstream BI tools. The system emphasizes auditability, reproducibility and safeguards against data gaps and timing skew.
The system is designed for web analytics contexts across regions, with UTC standardization, USD default currency and privacy controls. It assumes stable data schemas and does not perform UI or creative optimization.