Golden Data · the thesis
One engine, many roles
Everything in this portfolio runs on the same analytical engine — a full-funnel model, LTV, experimentation, executive scorecards, and Voice-of-Customer. I build it once and point it wherever the question is: at a lease-to-own book, at a competitor, at a specific job description. The companies change; the rigor doesn’t. That’s the whole idea — and the reason a hiring manager can see exactly what I’d do for them before the first conversation.
The engine
Five parts. Together they take a customer question from data to a decision an executive will act on.
Full-funnel model
Acquisition → application → conversion → servicing → retention → collections. I find the leak and size it in dollars.
2LTV & unit economics
A customer-value model calibrated to filed results — so every trade-off is argued in lifetime contribution, not opinion.
3Experimentation & causal inference
A/B and incrementality with confidence intervals, guardrails, and a sample-size calculator. Evidence, not vibes.
4Executive scorecards
Reporting built to surface the next action and the next experiment — insight, not a metrics wall.
5Voice-of-Customer & market intelligence
VoC signals, competitive landscapes, and TAM — turning the outside world into a decision.
The lanes
The same engine, instantiated five ways. Each lane is the others seen from a different angle.
Deep data products
Interactive, calibrated builds — a customer-performance model and a market-intelligence briefing for Upbound.
Customer Performance Analytics · Market & Competitive Intelligence
Competitor spotlights
Deep dives on the field, every figure sourced — they interlock into one competitive map.
Affirm · Sezzle · Dave · Progressive
JD case studies
The engine pointed at a specific role — mandate, 90-day plan, signature analysis, proof.
Synchrony · Affirm · Concora · Chime · Airbnb · Target (Research) · Best Buy · Citizens · Target (REDcard)
AI-enabled operator
The portfolio as proof — a dozen-plus cited analyses shipped through an AI research→build model I designed.
Salary intelligence
The roles turned into a data asset — posted comp across role families, alongside the IC-role salary dashboard.
Built by Paul Brown
If a role needs customer-lifecycle analytics, competitive intelligence, decisioning, or an AI-enabled operator who ships responsibly — it’s the same person and the same engine. Pick the lane that matches your opening, or browse them all.