How I Help Founders Build Scalable Marketing Systems

Most startups don't fail because the product is bad.

They fail because marketing never becomes a repeatable system for acquiring customers.

I help founders build growth engines that combine brand strategy, customer insight, growth experimentation, and AI-powered marketing systems to scale revenue.

Over the past 13+ years I've launched and scaled consumer brands across DTC, ecommerce, and retail, helping companies grow from early stage to major market presence. My work includes scaling companies from $0 to $150M+ and others from $5M to $34M in under two years.

I've also been the first marketing hire in multiple startups, building marketing teams, growth systems, and go-to-market strategies from the ground up.

The Problems I Solve:

Most startups don't yet have an experienced marketing leader or they reach a point where marketing feels stuck.

Common signs include:

• brand positioning is unclear
• messaging does not convert
• teams are running random campaigns
• no one knows which experiments to run next
• paid ads are inconsistent
• growth has plateaued

This usually happens because the company does not yet have a marketing system that connects brand, growth, and experimentation.

What I Build Instead:

I help companies build a startup marketing operating system that integrates brand strategy, growth experimentation, and marketing intelligence. This includes:

Growth Engine Diagnostics

Identify the biggest growth constraints across the funnel.

Outcomes:

• clear CAC and LTV drivers
• funnel conversion improvements
• prioritized growth opportunities

Positioning and Brand Strategy

Ensure the product is clearly differentiated and compelling.

Outcomes:

• clear value proposition
• differentiated brand positioning
• messaging that resonates with customers
• stronger conversion across marketing channels

Acquisition and Channel Strategy

Identify the channels that scale customer growth.

Outcomes:

• channel prioritization
• creative testing frameworks
• integrated paid, owned, and earned strategies
• scalable growth experiments

Experimentation Systems

Turn marketing into a continuous learning engine.

Outcomes:

• structured experimentation backlog
• weekly growth experiments
• clear insights from testing

AI-Powered Marketing Systems

Allow small teams to operate with the capabilities of much larger marketing organizations.

Outcomes:

• automated marketing insights
• faster creative iteration
• scalable content and experimentation pipelines

These systems combine marketing data, AI analysis, and automation workflows to continuously surface insights, identify growth opportunities, and accelerate experimentation.

What This Looks Like in Practice

Typical outcomes from working together include:

• identifying the fastest path to profitable growth
• clarifying brand positioning and messaging
• unlocking scalable acquisition channels
• improving conversion across the funnel
• building a repeatable growth experimentation system
• implementing modern marketing infrastructure powered by AI and automation

Who This Is For

Companies typically benefit most when they are:

• building their first real marketing function
• transitioning from founder-led marketing
• working toward or approaching product market fit
• preparing to scale customer acquisition
• between $1M and $50M in revenue

The Result

Marketing stops feeling like random campaigns.

Instead, it becomes a system that continuously produces growth.