I design your funnel, build the machine that runs it, and stand behind what it earns.
I do creative, technical, and business work, so your copy, your systems, and your numbers come from one person.
I've written the checks, so I spend your budget like it's my own.
I've shipped work in more than a hundred tools. Each case study names the tools that engagement used.
Sales & Growth
I read your one-star reviews before I write your ads.
You have traffic and a product, and your conversion rate is flat. You can't tell whether it's the offer, the page, the sequence, or the qualification. Say three agencies have each rebuilt a different piece, and the number didn't move.
I read your support tickets, your sales-call transcripts, and the one-star reviews of your three closest competitors before I write a line of copy. I rebuilt one agency's intake as a long-form application that screened out weak leads and trained the ad pixel at the same time. Their cost per qualified lead dropped from about $50 to under $10. Most accounts I see have a qualification problem, not a lead-volume problem.
If you've spent more than $20K on agencies in the last year and you still can't name the specific reason your conversion rate is what it is, that's the engagement.
Data & Decisions
Your dashboard says the Tuesday ad sold them. It didn't.
Say you run GA4 on its defaults with last-click attribution, and your board deck is full of charts nobody acts on. The three numbers that would change how you split next quarter's budget are unmeasured, unmodeled, or known to one person on your team.
I pull the qualitative signal from Reddit, support tickets, sales calls, and one-star reviews, then build the pipelines, dashboards, and attribution models around your questions. Ad platforms export data in formats built for other software, not for the person making the call. I stitched 50+ solar ad accounts into one intelligence layer on BigQuery and Google Data Studio in 2020 and 2021, so the whole portfolio could be read and optimized region by region. I knew of very few advertisers running that stack back then. I version, test, and monitor the data like any revenue system, because a wrong number in a board deck costs more than a wrong number in a log.
If you're walking into a board meeting next quarter and you don't have one chart you can defend without hedging, that's the engagement.
AI & Systems
I build the smallest thing that solves your problem. Then I ship it.
Your AI demo works. Production is a different problem: what happens when fifty customers hit it at once, when the LLM provider deprecates the model, when the data drifts. I've shipped agents to production and watched them break in ways no demo showed.
I build the engineering around the model: RAG with citations as first-class objects, agents with visible tool calls, eval suites, and drift monitoring. My own retrieval engine indexes a 5-million-word corpus with cluster-semantic chunking and serves it to any agent that asks. It ships the way production code ships: planned, tested against regression suites, merged, then watched for drift. My paranoia about precision comes from algorithmic-trading work, where a single bug could cost someone their house.
If your engineering team can tell the difference between a demo and a system, but you don't have anyone with both the AI engineering and the marketing-ops experience to scope an AI build against revenue instead of hype, that's the engagement.
People · Product · Process.
I've seen consulting frameworks start as a way to organize messy reality and end as a way to bill more hours. PPP (People, Product, Process) is a diagnostic tool, and the diagnosis is the part you can hold me to.
You research the person on the other side before you write any copy or build any funnel. What do they hate? What do they want? What bad experiences do they still carry?
Now you build the offer: first the stack of benefits, then the message that names them, then an offer that bundles them. You're selling the change itself, from where they are now to where they want to be.
Last, you build the machine that delivers it. Qualify ruthlessly. Convert the qualified. Onboard so well the customer evangelizes for you. Done well, fulfillment is just a math problem.
Every engagement starts with the Roadmap.
Then you pick one of three monthly retainers.
You get a diagnostic audit that shows where you're losing money, and a written plan you keep.
Start with the RoadmapYou get my judgment whenever you need it: I set strategy with you and review what your team ships.
Open the conversationI ship systems every month against your Roadmap, and strategy is included.
Open the conversationI run the strategy, build, and operation of your revenue machine, and I'm accountable for the whole chain.
Open the conversationThese results are real.
They aren't a promise about yours.
I've documented 56 engagements in detail across three practices, and I diagnose the same way in every one. Pick the practice closest to your work, and its case studies link to the rest.
Sales & Growth
29 CASESI read your one-star reviews before I write your ads.
I diagnose first, so your funnel is built on your buyers' own words.
Data & Decisions
15 CASESYour dashboard says the Tuesday ad sold them. It didn't.
Your team gets numbers it can defend without hedging.
AI & Systems
12 CASESI build the smallest thing that solves your problem. Then I ship it.
I build production AI that holds when fifty users hit it at once.
The people I've worked with,
in their own words.
Start with the Roadmap. From $2K.
You fill out a detailed form. I do the work. You walk out with a diagnostic audit of your business and a written plan: specific, ranked, yours to keep and act on Monday. Hire me on a retainer to build it, or take it anywhere.