Web Analytics Reference
A source-grounded reference encyclopedia for web analytics: metrics, dimensions, event tracking, attribution models, privacy & compliance, conversions & funnels, data quality, and analytics platforms.
Each page defines one concept precisely, names the pitfalls, keeps the language privacy-safe, and cites a primary source where one exists — no fabricated benchmarks or “industry average” numbers. A companion to the Web Crawler & Traffic Intelligence Encyclopedia.
Reference hubs
Eight analytics categories, each a hub over a growing set of detail pages.
- Analytics metrics
120 metrics — Plain definitions of web-analytics metrics — pageviews, sessions, users, bounce rate, engagement, dwell time, conversion rate — how each is measured, its pitfalls, and privacy-safe reading.
- Analytics dimensions
122 dimensions — What each analytics dimension means — source/medium, channel grouping, device, browser, landing page, country — how it is derived, and the caveats when you segment by it.
- Event tracking
123 event topics — A reference to analytics events: page_view, click, form_submit, signup, purchase, scroll and custom events — what each captures, event properties, and naming taxonomy.
- Attribution models
116 attribution topics — What each attribution model does — last-click, first-click, linear, time-decay, position-based, data-driven, multi-touch — how it assigns credit, and when each is appropriate.
- Privacy & compliance
124 privacy topics — A reference to privacy-safe analytics: GDPR, CCPA, ePrivacy, consent modes, cookieless measurement, IP anonymization, DNT/GPC, data retention and PII — what each means in practice.
- Conversion & funnels
124 conversion topics — A reference to conversion analytics — goals, funnels, micro/macro conversions, A/B testing, cohort analysis, retention, churn and LTV — what each means and how to read it.
- Data quality
123 data-quality topics — A reference to analytics data quality and diagnostics: sampling, tool discrepancies, bot/spam filtering, double-counting, time zones, deduplication and data freshness.
- Analytics platforms
123 platforms — A reference to analytics platforms — GA4, Plausible, Matomo, Fathom, Mixpanel, Amplitude, PostHog, Adobe — their data model, privacy posture, and migration notes. Factual, no rankings.
- Reports & dashboards
36 reporting topics — How to build and read analytics reports: GA4 explorations, standard reports, segments, comparisons, dashboards, scheduled exports, anomaly detection, and data visualization.
This reference is the analytics layer behind WebmasterID’s product surfaces: Privacy-first analytics, Attribution analytics, Event Explorer, and the operator docs.