Results
The work speaks.
Early-stage engagements, full-stack execution. Every result below was built from scratch — no inherited playbook.
Recruited by the CEO to lead revenue growth and demand generation for a mission-driven WealthTech platform targeting underserved communities. Inherited a fragmented acquisition model with no unified channel strategy and an unsustainable cost per paid user. Rebuilt the full-funnel growth engine from the ground up — paid media, content, lifecycle marketing, and B2B2C partnership strategy — while reporting directly to executive leadership.
Brought in to stand up OfferPath’s entire top-of-funnel from zero — brand system, a daily short-form video engine, and a rebuilt marketing site — and to repair the email infrastructure that was quietly wrecking deliverability. The result: a lean team publishing at agency volume and cadence, without an agency.
Built a licensed NC brokerage’s renter-acquisition engine end to end — Meta lead ads, an instant lead form, an automated hand-off into CRM and email nurture, video and static ad creative, landing pages, and pixel tracking. Fair-Housing compliant, live and converting from the first day.
71 leads at a 4.78% click-through rate across twelve towns, June 23 to August 17, 2026, every count confirmed against the Meta Marketing API. The full funnel ran automatically end-to-end: Meta lead ad → instant form → CRM → 8-email nurture sequence.
A San Antonio heritage salsa brand was heading to the H-E-B shelf with a white mason-jar label that disappeared at ten feet. gRO ran a full shelf-intelligence audit — 26 brands, 47 competitor labels coded across 14 variables on a 3×3 placement grid — then rebuilt the flagship “Salsita Emma” label on the data, not on taste. Every element earned its spot.
Method proof: the flagship label was designed intuition-first, then validated against the coded competitor dataset — which confirmed most placements, blessed the differentiators, and forced four specific corrections. Decisions defended with data, not taste.
Results Across Engagements
The judgment behind the numbers
Most ad waste is invisible on the dashboard.
A clean CPC and a clean CTR can hide a campaign pointed at the wrong people entirely. The results above came from the same habit that catches the waste below — a senior operator inside the platform and inside the business, reading the same numbers the founder reads.
Early in my career I stepped into a growth role at a brand that already had an agency running its paid campaigns — a relationship I inherited, not one I chose. In my first weeks I opened the ad platform to spot-check the targeting. The audience was supposed to be US-only. The agency had been serving ads to users on another continent — people who could never become customers. More than $8,000 was gone before anyone noticed, because the reports the team received showed only CPC, CTR, and impressions. Geography never appeared on them. It took five minutes to find by hand.
At a different company, the customers who actually opened accounts were 30 to 55 years old. The agency had set the paid audience to 18–24 — a generic “tech-forward consumer” template, chosen without ever reading the company’s own customer file. Another $5,000 spent against a cohort that was never going to convert. The agency knew the platforms. They didn’t know the business.
That’s the pattern behind every number on this page. $13,000+ in waste across two roles — both catchable by anyone with five spare minutes inside the platform and the context to know what “right” looked like. Operator-Led Growth closes that gap by making the strategist and the person in the account the same accountable operator, reading the same dashboard you do. The payoff isn’t only the waste you avoid — it’s that when one person owns both the plan and the execution, results like the ones above stop being luck and start being repeatable.
