Category archive
Frameworks for attribution, acquisition taxonomy, organic and referral analysis, privacy, and measurement governance.
Curated library
Original long-form guidance from the Traffic Intelligence Field Notes library.
A practical framework for designing useful visitor analytics with clear purposes, data minimization, consent-aware collection, bounded identity, and retention controls.
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A guide to interpreting referral traffic, normalizing sources, understanding missing referrers, managing exclusions, and respecting browser privacy behavior.
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How to standardize campaign parameters, prevent taxonomy drift, validate links, and preserve clean cross-channel reporting across teams and tools.
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A practical framework for combining channel data, comparing attribution views, and communicating uncertainty without turning modeled credit into a fictional fact.
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