Growth Systems Architect

Building systems
that make growth
predictable.

You don't have a marketing problem. You have a systems problem. I've spent years getting very good at one thing - telling the difference and fixing the right one.

Paid Acquisition Search Reputation Automation Measurement
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The Framework

The System

Five interconnected pillars. When built correctly, they compound on each other. Growth stops being a guessing game.

01

Visibility

Positioning where decisions are made — search, AI answers, and authority signals that work while you sleep.

02

Trust

Reputation infrastructure that converts skeptics — proof, case studies, and social signals built to last.

03

Conversion

Removing friction between interest and action. Every touchpoint designed with a clear job to do.

04

Automation

Systematizing what should not require your attention — follow-up, nurture, and operations at scale.

05

Measurement

Dashboards and reporting structures that tell you what is working, what is not, and what to do next.

Selected Work

What execution looks like.

View All Work
Paid Acquisition — Meta + Google

Rebuilding an ad account that was scaling spend without scaling results

A service business doubling its ad budget quarter over quarter with flat pipeline growth. Diagnosed the structural failure — wrong intent layer, no real attribution — and rebuilt from the account level up.

−54%
cost per acquisition on 2× budget
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Search Architecture

Rebuilding organic reach from zero after a platform migration

A service business losing 60% of inbound traffic after a site rebuild. Diagnosed the structural failure and rebuilt the search architecture — URL hierarchy, internal linking, entity signals — from the ground up.

312%
increase in qualified organic sessions
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Reputation + Email Systems

Engineering proof infrastructure and a lifecycle email system that closed the gap

A high-quality operator with weak social proof and no email nurture. Built a systematic reputation engine and segmented email sequences that converted consideration into conversations.

4.9★
maintained at scale, 400+ reviews
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How I Think

Six
principles.

  • 01

    Systems outlast tactics.

    A tactic wins a quarter. A system wins a decade. I build for the second one.

  • 02

    Diagnosis before execution.

    Most performance problems are misdiagnosed. I spend more time on the problem than most people spend on the solution.

  • 03

    Attribution is not optional.

    If you can't connect spend to closed revenue, you're optimizing a guess. I build measurement before I build anything else.

  • 04

    Operations thinking applies to marketing.

    The same logic that runs a supply chain runs a growth system. Remove bottlenecks, standardize what works, measure everything.

  • 05

    AI accelerates — it doesn't replace judgment.

    I use AI across research, creative iteration, and analysis. The speed is real. But the strategic decisions still require a human who understands the business.

  • 06

    Simple beats sophisticated.

    Complexity is a red flag. The best system is the one that gets executed consistently. Every time.

"If you're building something that should scale more predictably, reach out."

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