Independent analytics field guide · verified 30 July 2026No vendor affiliation · how this site works
Edition 01 · July 2026

The web analytics field guide

Twelve distinct decision guides. Each opens with a direct answer, names the collection limits, links primary sources, and ends with the questions a buyer or operator actually needs resolved.

Guides12

No synonym or city pages.

Evidence date30 Jul

Vendor facts rechecked in 2026.

Commercial claimsZero

No product or customer fiction.

Reading routes

Begin with the work in front of you

Foundational measurement comes first; collection and privacy follow; campaigns, outcomes, and portfolio operations complete the route.

01

Web analytics: a practical field guide

Learn what web analytics measures, how collection methods differ, which metrics answer useful questions, and how to build a decision-ready measurement plan.

02

Real-time web analytics without false urgency

Understand what real-time website analytics can show, where live visitor data is useful, and how to avoid making decisions from incomplete minute-by-minute signals.

03

Website visitor tracking: what can be known

Compare visitor logs, aggregate analytics, account identity, and firm-level enrichment while learning what website tracking can and cannot reliably identify.

04

Privacy-first analytics is a configuration, not a slogan

Evaluate analytics collection, identifiers, consent, hosting, retention, access, deletion, and vendor claims with a practical privacy-first framework.

05

Cookieless analytics: what changes and what does not

Learn how analytics can count traffic without persistent cookies, which identity and accuracy tradeoffs follow, and why cookieless does not mean data-free.

06

First-party analytics beyond the label

Understand first-party analytics, first-party cookies, custom collection domains, reverse proxies, and the control and governance work each approach requires.

07

Server-side vs client-side analytics

Compare browser and server analytics collection across observability, accuracy, privacy, consent, cost, debugging, and the hybrid pattern most teams actually need.

08

AI traffic analytics: referrals, citations, and bots

Measure traffic from ChatGPT and other answer engines while separating referral clicks, search citations, verified crawlers, user fetches, and unknown bots.

09

UTM campaign tracking that stays readable

Use UTM source, medium, campaign, term, and content consistently, protect original attribution, and quality-check tagged links before campaigns launch.

10

Conversion tracking with credible denominators

Define meaningful website conversions, choose eligible denominators, validate browser and server events, and report uncertainty without double counting.

11

Heatmaps vs session replay vs visitor logs

Compare aggregate heatmaps, reconstructed session replays, and chronological visitor logs by question, evidence, payload, privacy risk, and review effort.

12

Analytics for multiple sites and client portfolios

Design a multi-site analytics portfolio with shared definitions, granular access, roll-up reporting, cost forecasting, privacy boundaries, and reliable ownership.

How to use it

Read the answer, then read the caveat.

The summary is designed to answer the main question without requiring a scroll. The answer map then separates definitions, implementation, decision rules, and validation. Source ledgers point to the vendor, standard, or regulator whose current material supports a factual claim.

Product availability, prices, crawler behavior, and platform limits change. The published date is evidence, not decoration. Read the methodology and correction log if a decision depends on freshness.