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.