#measurement
8 pieces filed under “measurement”.
First-party data without the surveillance
First-party data foundations for the cookieless era: consent-mode analytics, an honest take on server-side tagging, what to stop measuring, and labelling estimates.
Analytics pipelines you can actually trust
Dashboards nobody trusts get quietly ignored. Event schemas, validation at the edge, QA environments for data, and pruning metrics nobody has read in two quarters.
Write the measurement plan before you build
Analytics bolted on after the build answers yesterday's questions badly. The measurement plan: events, naming, consent, dashboards — before the first sprint.
Setting goals for a redesign that aren't vibes
How to turn 'make it feel modern' into measurable redesign goals: primary metrics, kill criteria, baseline capture, and reporting that survives launch fog.
Name your events before you buy the analytics tool
Event naming decides whether your data answers questions in year three. The taxonomy anatomy we design before any tool evaluation: verbs, properties, screens, migration.
Measuring brand without voodoo
Brand measurement for people allergic to brand science: aided recall, share of search, consistency audits and the quarterly one-pager leadership actually reads.
Analytics governance: tracking plans before tools
Analytics rots quietly until nobody trusts the dashboards. The fix is governance, not tooling: event naming grammar, ownership, QA rituals and the monthly data hour.
Attribution that admits what it doesn't know
Attribution is always lying a little. Model taxonomy, dark social acceptance, self-reported fields, geo holdouts and decision-making without false precision.