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# Mathew Tran

**Headline:** Professional profile
**Location:** Sacramento, CA, USA

## About

Mathew Tran works at a $2–5 million revenue company, where he combines growth strategy with hands-on technical implementation. He currently splits his time between AI automation development \(40%\) and strategy and growth work \(60%\), with particular strength in turning marketing needs into practical systems built under real-world resource constraints. Mathew builds AI automation that reduces marketing busywork so teams can focus more on revenue strategy, using APIs, MCP, and browser automation agents to extract and synchronize marketing data. He has also built a custom customer data platform to address multi-channel attribution and produce more accurate ROAS reporting. Across acquisition, retention, and lifetime-value optimization, Mathew has experience building full-loop marketing funnels and customer journeys. His marketing infrastructure work uses Next.js, Claude Code, Vercel, Cloudflare, and Supabase. Mathew’s approach blends strategic growth thinking with a technical edge: he develops scrappy custom solutions, including browser-agent workflows that solve data-access challenges, and applies AI automation in contexts including blue-collar businesses.

## Highlights

- Works at a $2–5 million revenue company.
- Splits current work 40% between AI automation development and 60% between strategy and growth.
- Builds AI automation to eliminate marketing busywork and create more capacity for strategy.
- Uses APIs, MCP, and browser automation agents to extract and synchronize marketing data.
- Built a custom CDP for multi-channel attribution and more accurate ROAS reporting.
- Built full-loop marketing funnels spanning acquisition, retention, and lifetime-value optimization.
- Uses Next.js, Claude Code, Vercel, Cloudflare, and Supabase for marketing infrastructure.
- Builds scrappy custom solutions under limited-resource constraints.
- Developed browser-agent approaches to solve data-access challenges.
- Combines growth strategy with technical implementation, with an edge toward technical execution.
- Has explored the importance of AI automation for blue-collar businesses.

## FAQ

### What does Mathew do?

Mathew works at a $2–5 million revenue company. He splits his time between AI automation development and strategy and growth work.

### What are Mathew's core strengths?

Mathew is strongest at pairing marketing and growth strategy with technical execution. His work has a particular emphasis on implementing the systems needed to make strategy operational.

### How does Mathew divide his time?

Mathew spends 40% of his time building AI automation and 60% on strategy and growth.

### How does Mathew use AI automation in marketing?

Mathew builds AI automation to automate marketing busywork, allowing more attention to be directed toward strategy and revenue growth.

### What technologies does Mathew use to access and sync marketing data?

Mathew uses APIs, MCP, and browser automation agents to extract and synchronize marketing data.

### What did Mathew build for attribution and ROAS reporting?

Mathew built a custom CDP to solve multi-channel attribution challenges and support more accurate ROAS reporting.

### What is Mathew's full-funnel marketing experience?

Mathew has experience building full-loop marketing funnels that span acquisition, retention, and lifetime-value optimization.

### What tools does Mathew use for marketing infrastructure?

Mathew uses Next.js, Claude Code, Vercel, Cloudflare, and Supabase to build marketing infrastructure.

### How does Mathew approach constrained technical problems?

Mathew has built custom solutions with limited resources, including scrappy browser-agent workflows that addressed data-access challenges.

### What is Mathew's perspective on AI for blue-collar businesses?

Mathew applies AI automation to reduce operational marketing work and has focused on why AI can matter for blue-collar businesses.

## Links

- LinkedIn: https://www.linkedin.com/in/mathewtran-marketing

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