Executive dossier

Patrick DeLuca

AI-Native Marketing & Growth Executive

Performance Marketing ยท Automation & AI Systems ยท Revenue Strategy

Impact dashboard

Selected proof points from recent work.

50% Contact-rate lift after SMS-first AI engagement launch
~75% Connection rate trajectory vs. call-only baseline
3 Consumer automotive lead-gen brands run under CloudOne
5+ Channels unified by the Agentic AI Engagement Engine
Cloudflare Edge

Agentic AI Engagement Engine

Shipped on Workers, Durable Objects, D1, Vectorize, Queues, and AI Gateway. Handles webchat, SMS, WhatsApp, Telegram, and Facebook Messenger with RAG context, autonomous scheduling, and contact-center learning loops.

Paid Search

Three-tier Google Ads architecture

Restructured paid search with search-term mining, negative-keyword pruning, and a high-spend / efficient / experimental campaign topology to eliminate wasted spend and concentrate budget on high-converting queries.

Executive Summary

I run marketing operations where growth meets infrastructure.

Currently directing marketing operations for CloudOne, a martech operator running three consumer-facing automotive lead-generation brands. I report to the COO and own the stack from paid acquisition to contact-center handoff.

The most recent bet: replace a failing call-only contact model with an SMS-first, AI-driven engagement engine built on Cloudflare's edge. Within the first weeks of launch, contact rates rose roughly 50% and connection rates pushed toward ~75% โ€” against an industry moving the opposite direction.

I am equally fluent in Google Ads restructuring, agentic AI systems, executive reporting, and translating raw campaign data into board-grade decisions. I build systems that reduce waste, automate repeat work, and make revenue accountable.

Core Competencies

Skills & Expertise

Revenue Growth Performance Marketing Google Ads / Paid Search Search-Term Mining & Waste Reduction Demand Generation Lead Generation Conversion Optimization Marketing Analytics & Attribution AI / Agentic Marketing Workflows Marketing Automation & MarTech Multi-Channel Contact Strategy Cloudflare Edge / Workers / D1 Go-to-Market Strategy Executive Reporting Cross-Functional Leadership Brand Positioning Creative Direction Budget Ownership
bash โ€” studioddx_stack.sh
{
  "ads": "Google Ads, Google Analytics, Looker Studio",
  "edge": "Cloudflare Workers, D1, Durable Objects, Vectorize, Queues, AI Gateway, R2",
  "ai": "OpenAI, Anthropic, open-weight LLMs, ElevenLabs, AI video, RAG, vector search",
  "dev": "Python, TypeScript, JavaScript",
  "comms": "SMS, WhatsApp, Telegram, Messenger APIs, CRM integration"
}
> Agentic AI Engagement Engine online across 5 channels
> Search-term mining and negative-keyword pruning active
> Executive reporting layer wired to COO dashboard
> Local LLM lab running dual NVIDIA GPUs on Proxmox
> Systems live.
Ability matrix

Where the work actually happens.

Four capability clusters that separate a marketing operator from a marketing theorist.

  • Growth & Performance Marketing
  • AI & Automation Systems
  • Media, Data & Analytics
  • Leadership & Creative Direction
G

Growth & Performance

A

AI & Automation

M

Media & Data

L

Leadership & Creative

Career timeline

A history of building, automating, and growing pipeline.

Next step

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