See what’s actually bringing in customers.

I architect, implement, and document the measurement layer that sits underneath every marketing decision. Concretely: GA4 property structure and event design, GTM container and data layer, conversion tracking through to enhanced conversions and server-side tagging, and Looker Studio dashboards built around the questions your business asks. The day-to-day reporting work stays with you (or your team); my job is making sure the numbers underneath are honest.

A typical setup covers four layers: account structure (property and stream configuration, internal traffic filters, data retention), event design (custom events tied to real business outcomes, conversion mapping, audience definitions), tag management (clean GTM container, data layer implementation, trigger logic that does not double-fire), and reporting (Looker Studio dashboards, BigQuery export configuration where it earns its keep). Scope varies by what is already in place — a fresh GA4 build is different work from a GTM rebuild on top of an existing GA4 property.

Not until you do. GA4 covers most reporting needs out of the box — page views, conversions, basic attribution, audiences. BigQuery starts earning its keep when GA4 default reports stop answering questions: event-level analysis across long time windows, joins against CRM or ad spend data, custom funnel logic the GA4 UI cannot express. For most engagements, BigQuery is a year-two consideration, not a foundation requirement.

A simple property build with conversion tracking and a starter Looker Studio dashboard typically lands in 1–2 weeks once access is sorted. A full GTM rebuild on top of existing tag chaos plus GA4 reconfiguration plus enhanced conversions plus a custom dashboard set runs 4–8 weeks depending on how much foundational cleanup is in front of the new work. Most engagements have one or two weeks of unexpected debugging when broken events surface mid-implementation.

Common symptoms: conversion numbers in GA4 that do not match the numbers in Google Ads, events firing twice (or not at all), bot traffic polluting reports, key business actions (form submissions, phone calls, signed quotes) missing from the funnel entirely, dashboards that show clicks and sessions but never tie back to revenue. Diagnosis is part of the audit; remediation is the engagement that follows if it makes sense.

Yes. Custom Looker Studio dashboards pulling from GA4, Search Console, ad accounts, and BigQuery — designed around the specific questions you need answered, not generic templates. Every dashboard ships with documentation, scheduled email exports if useful, and a monthly review cadence so the metrics stay tied to actual decisions instead of aging into wallpaper.

GA4 is the platform Google has invested in for the foreseeable future, but the work I do is platform-portable. A clean data layer, server-side tagging, and BigQuery export can survive a platform migration — those are the durable assets. The GA4 UI is the part that would need replacement; the underlying measurement architecture transfers.

Yes. The audit comes first — what is firing, what is broken, what is missing. From there, the remediation is incremental: fix the highest-impact gaps, document what was done, and only rebuild from scratch if the existing setup is genuinely beyond repair. Most engagements are remediation, not greenfield.