Marketing Director Growth Architect Automation
AI-first systems, performance media, and full-funnel architectures that scale revenue, not headcount.
Portfolio
01 — 05
Selected Work
Ortega had $250K in old estimates sitting in the CRM. Nobody was following up on them. I built an automated drip sequence in CHIIRP that texted those leads on a set schedule — no manual effort, no extra ad spend. In 33 days it closed $88,419 in sold jobs. Annualized, that's over $1M a year from leads the company already paid for and forgot about.
Yelp leads go cold fast — if you don't respond in minutes, they book someone else. Our team was averaging 3–4 hours. I built a Zapier flow that fired a personalized text to every new lead the second it came in, using their name and service type pulled straight from the Yelp API. It felt like a real person wrote it. Response rates jumped 50% and we stopped handing $42K a year to faster competitors.
We were losing 10 leads a week because someone had to manually read each email, pull out the customer info, and type it into ServiceTitan. I replaced that process with a Make.com pipeline connected to GPT-4o-mini. It reads the email, grabs the name, number, and service need, checks for duplicate records, flags urgent jobs, and creates everything automatically. At $182 per lead, stopping that bleed saves $195K a year.
Phones were quiet during shoulder season. I took 1,000 inactive customers and ran a 4-day SMS sequence offering a $99 Swamp Cooler startup deal. The texts also asked a simple yes/no question — and based on each reply, CHIIRP automatically tagged the contact as a Swamp Cooler or AC customer in ServiceTitan. 56 leads responded. $20,544 in jobs were booked. $73K in total pipeline opened. First real segmented database the company ever had.
Google Ads spend had crept to $10,700 a week. I pulled the data and found we were paying for leads in ZIP codes our trucks couldn't reach fast enough to close. I paused 7 dead zones and split HVAC into two campaigns — one for installations, one for service calls — each targeting only the areas that actually made money. Spend dropped to $6,200. Revenue held at 90.6%. ROAS jumped from 3.34x to 5.0x. That's $168K in waste gone annually.
Background
01 — 03
Roles + Education
Certifications
Tools + Certifications
Let's Talk
Whether it's plugging a leaky funnel, killing wasted ad spend, or building automations that work while you sleep — let's figure out what's possible.