Analytics Infrastructure for Growth Teams
I help companies connect marketing, CRM and revenue data into one reliable system — so they can understand which campaigns generate qualified leads, pipeline and real business growth.
Most companies don’t have a traffic problem. They have a visibility problem.
Ad platforms show conversions. CRM shows revenue. GA4 shows user behavior. But these systems often do not speak the same language.
As a result, teams optimize campaigns based on incomplete or misleading data — leads instead of qualified leads, conversions instead of revenue, and platform ROAS instead of real business impact.
What I Build
Tracking Architecture
GA4, GTM, server-side tracking, conversion events, UTM logic, user identifiers and attribution setup.
CRM & Revenue Data Layer
Lead statuses, deal stages, source normalization, revenue mapping and offline conversion readiness.
BigQuery & Data Pipelines
Data flows from ads, GA4, CRM and product analytics into BigQuery using tools like n8n or native exports.
Dashboards & Decision Systems
Dashboards that connect spend, leads, SQLs, deals, revenue, CAC, payback and contribution metrics.
Core Use Cases
- Understand which campaigns generate qualified pipeline, not just leads.
- Send offline conversions back to Google Ads and Meta.
- Connect CRM revenue with marketing spend.
- Detect broken attribution and missing UTM/GCLID data.
- Build dashboards for CAC, ROAS, LTV, payback and funnel quality.
- Prepare data infrastructure for experimentation and incrementality testing.
My Approach
1. Audit
I review current tracking, CRM structure, attribution logic and reporting gaps.
2. Architecture
I design the data model, event structure, CRM fields, UTM rules and conversion logic.
3. Implementation
I help connect tracking, CRM, BigQuery, automation flows and dashboards.
4. Optimization
I turn the system into a growth decision layer for budget allocation, campaign optimization and business reporting.
Why It Matters
Without reliable analytics infrastructure, teams often optimize for the wrong signals.
- Ad platforms report conversions, but not always revenue quality.
- CRM shows sales outcomes, but often loses campaign context.
- GA4 shows behavior, but does not explain pipeline quality.
- Dashboards show numbers, but not always decision-ready insights.
The goal is to move from fragmented reporting to one growth decision system.
Want to know what your marketing data is really telling you?
I can help you audit your current tracking setup and build a cleaner analytics infrastructure for better growth decisions.