Growth Engineering for Data-Driven Companies

I help companies build growth systems that connect marketing, analytics, automation and experimentation — so teams can move faster, make better decisions and scale what actually works.

Growth is not only about more traffic. It is about better systems.

Many companies rely on fragmented tools, manual reports and disconnected marketing experiments. As a result, teams move slowly, lose visibility across the funnel and make decisions based on partial data.

Growth engineering helps turn marketing, analytics, CRM and automation into one operating system for scalable growth.

What I Build

Growth Automation

Automated workflows for lead routing, CRM updates, alerts, reporting, enrichment and marketing operations.

Experimentation Systems

A/B testing infrastructure, event tracking, hypothesis prioritization, GrowthBook setup and experiment measurement.

AI-Powered Insights

AI workflows that analyze campaign, CRM and funnel data to detect problems, generate hypotheses and suggest actions.

Revenue Growth Infrastructure

Systems that connect acquisition, activation, CRM, revenue, retention and business outcomes into one growth layer.

Core Use Cases

  • Automate marketing and CRM workflows.
  • Connect ad performance with CRM and revenue outcomes.
  • Build AI agents for campaign and funnel analysis.
  • Create dashboards for CAC, LTV, payback and growth quality.
  • Set up A/B testing and experiment measurement.
  • Reduce manual reporting and operational bottlenecks.

My Approach

1. Diagnose

I review the current growth process, tools, data flows, reporting logic and bottlenecks.

2. Design

I design the growth system architecture: events, CRM fields, automations, dashboards and experiment logic.

3. Build

I help implement workflows, tracking, dashboards, AI analysis layers and experimentation infrastructure.

4. Improve

I turn the system into a continuous growth loop for testing, learning and scaling.