Ghost Viewer Auditor

Ghost Viewer Auditor analyzes web analytics data to identify sessions that resemble automated traffic. It targets ghost viewers—visits with little engagement—so SEO and analytics teams can trust their metrics. The tool ingests standard exports and produces a risk score plus a list of suspect sessions.
Conceptually, it computes per-session metrics (duration, pageviews, events) and compares them to historical baselines. Anomaly detection uses standardized scores and pattern checks across IPs, user agents, and geolocations. Data privacy considerations are baked in via optional IP masking and anonymization.
Key features include a configurable threshold, exportable reports (JSON/CSV), and a structured output that highlights suspected sessions. Use cases include site health checks, campaign attribution validation, and quarterly analytics audits. The tool is designed for analysts, data engineers, and SEO managers who need repeatable, auditable findings without heavy engineering work.
Unique value propositions: fast analysis on large datasets, transparent scoring logic, and easy export for integration with BI and reporting pipelines. It supports privacy compliance and can operate on common analytics exports, reducing time to actionable insights.