Data-driven marketer who uses AI to build anything the campaign needs.

Ran paid social and search end-to-end — and converted at 4.08%.

Full-funnel digital marketing under one owner: brand and collateral, product listings, Meta + Google Ads, pixel tracking, and conversion optimization — kept brand-consistent across every channel.

The marketing angle: the same channel mix and analytical read that fills a leasing funnel — Meta + Google Ads, pixel-tracked, with Instagram driving the majority of revenue and spend reallocated to whatever converted.

Took a product to market solo — brand, landing page, funnel, and analytics.

A macOS app I positioned, launched, and grew on my own — owning the brand, landing page, pricing, email, and performance analytics, and building a free-to-paid subscription funnel. Grown through SEO, social, and build-in-public content.

The marketing angle: proof I build the marketing stack I'd review and run — property-website-grade landing pages, analytics, and email — measured with real data to inform decisions.

Shipped an entire product and its marketing site in two days — idea to live.

Turned a complex on-device video product into a single sharp value proposition — "Low-quality in. Clean 4K out." — on a clean, on-brand landing page that names the incumbent (Topaz) and wins the comparison.

The marketing angle: brand and messaging discipline — the same instinct that keeps marketing collateral consistent and on-message across a portfolio of communities.

Automation that ships marketing sites, tracking, and payment funnels.

A multi-agent system I built to automate the repetitive parts of marketing and ops — spinning up landing pages, analytics tracking, and campaign plumbing — so human time goes to strategy and brand. Its first product, ProposalAI, was shipped almost entirely by the framework itself — see below.

The marketing angle: I automate the busywork so the human hours go to strategy, brand consistency, and the people running community-level social and leasing campaigns.

A full go-to-market — audience, positioning, pricing and funnel — built end to end by my own automation framework as a proving run.

A B2B SaaS for contractors with a clear target audience, positioning, a marketing site, and a visit → free-trial → paid funnel — the same audience-and-conversion thinking that optimizes occupancy and engagement in a leasing funnel. The product, marketing site, and payments were built almost entirely by Jarvis Factory, the automation framework I built (above).

The marketing angle: end-to-end go-to-market — a specific ICP, positioning, value-based pricing, a landing page, and a measurable conversion funnel from visit to trial to paid — shipped by my own automation.

The marketing audit I kept doing by hand, turned into a Mac app.

96 checks across 13 areas — technical SEO, copy, conversion, brand, structured data, local visibility and AI search visibility — running entirely on-device. Every competing tool hands over a categorized list of problems and leaves the sequencing to you; sequencing is the hard part and the part a business owner can't do. Docket ranks findings by impact against effort, says what to fix first, and gives you the exact markup to paste.

The marketing angle: it encodes how I actually audit a site — the same judgment I apply to listings, landing pages, and campaign tracking — into something repeatable that produces a client-ready PDF instead of a spreadsheet.

The site that sells the work — and the one I can prove the numbers on, because I own every layer of it.

My own services site: positioning, copy, local-SEO structure, a landing page for each service, and the analytics and conversion tracking underneath. It is the site I point paid traffic at, so it is built the way I would build a client’s revenue page — titles matched to the page you actually land on, a booking path, and a form a human reads.

The marketing angle: a complete local-SEO and conversion build for a service business in a competitive market — the same problem as filling a leasing pipeline, and the same levers: local intent, landing-page relevance, and measured conversion.