15+ years managing paid media for enterprise brands has taught me one thing: bad results almost always trace back to bad infrastructure. Broken tracking, campaigns misaligned to intent, no measurement framework. I fix the foundation first. Then we scale.
No 90-day onboarding. No account managers in between. You work directly with me from day one.
Before touching anything, I look at everything -- structure, keywords, tracking, bidding, audiences, and funnel. You get a clear picture of what's broken and what's being left on the table.
Right tracking, right campaign architecture, a pilot running with real market traffic. I don't recommend scaling until the system is validated. Every material decision gets documented.
Once the numbers confirm it works, we expand. New channels only when the data says go. Budget moves tracked, performance reported monthly, strategy reviewed quarterly.
4 AI agents deployed across live accounts. Not a concept, not a pitch -- they're in production, handling work that used to take hours of manual analysis.
Agents pull raw platform data and generate structured performance reports -- with my diagnostic framework built in. The writing sounds like me because I trained it to.
Budget pacing issues, CPC spikes, conversion drops -- agents flag them before they compound. Most problems in paid media aren't hard to fix; they're hard to catch fast enough.
AI handles the pattern recognition. I handle the calls that require context. You get the speed of automation without giving up the human oversight that protects your budget from expensive mistakes.
Not a package deal. We scope the work to where you are and what you actually need.
At 17, I got a paid job at NASA's Jet Propulsion Laboratory as a systems engineer on the Mars Exploration Rover mission -- not an intern. I designed hardware, ran integration tests, and sent drive commands to Spirit and Opportunity after landing. JPL taught me one thing: give the right instructions to the right system and it performs. I've been applying that logic to AI agents ever since.
I took a $4.9M paid search program, ran a full structural audit, and rebuilt it from the ground up. Six months later: +61% order volume year over year, cost per order down 50%, 124% of annual targets -- pulled from engine data. That's what a properly structured account looks like.
I built IBCS -- Intent-Based Campaign Structure -- in 2017. Five tiers organized by user intent, from high-value branded demand to inquisitive awareness. Applied to every account I've managed since. Consistently delivers 20-25% conversion lifts and lower CPCs -- because it structures campaigns around how people actually search, not how platforms prefer you spend.
You work with me -- not an account manager who relays questions to an analyst who relays answers back. I'm the person who does the diagnostic, builds the strategy, and makes the calls. AI agents handle the analysis underneath. The decision-making stays with me.
The same 47-point audit framework I run across every new account -- Google Ads, Microsoft Ads, tracking, and funnel. Built over 15 years, refined with AI. Yours free, no strings attached.
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