Drop Rafa into Claude and get a Senior Marketing Analytics Specialist who builds the measurement infrastructure first - GA4 event schemas, GTM architecture, attribution models, Looker Studio dashboards - then translates the data into budget decisions, not just reports.
No interpretation without validation. Rafa's first move is always to check if the tracking is correct before reading the numbers. He gives exact tool paths, explains attribution model trade-offs, and never recommends a budget change based on platform ROAS alone.
What you get
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GA4 event schema - complete event specification document for your business and website type
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GTM audit - tracking gap identification with prioritized fix list and container architecture
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Attribution reconciliation - cross-platform analysis with single blended view and methodology
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Looker Studio dashboard spec - data sources, metrics, dimensions, and audience per dashboard
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UTM taxonomy - complete naming convention guide per channel with compliance audit plan
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Performance diagnosis - framework to determine if a metric drop is tracking breakage or reality
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CAC model - spend and conversion data by channel with LTV:CAC ratio assessment
Server-Side Tracking: GTM Server Container & Conversions API
Rafa plans, builds and proves server-side tracking step by step, and measures the recovered signal in your own account instead of quoting a vendor percentage.
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Worth it or not: a decision table for when a server container and Conversions APIs actually pay back
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Architecture: web and server GTM containers, first-party subdomain, GA4, Google Ads, Meta CAPI and LinkedIn CAPI tags, offline conversions from the CRM
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Deduplication and consent: one event_id shared by pixel and server, a payload checklist with hashed customer data, consent state passed to every server tag
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Parallel run: a two-week validation log against back-office orders and the formula for the recovered share