PROSPECTOR: An AI Scored Sponsorship Sales Operating System
A pro football league (APFL) and its franchises
The challenge
A new football league and its four state franchises needed to sell team and league sponsorships from a standing start, with no pipeline, no prospect list, and one revenue leader covering four state markets plus national accounts.
What we built
PROSPECTOR, a working sponsorship sales operating system live at apflprospector.online. A public source data pipeline seeded the CRM with hundreds of verified, source cited accounts across four states and a national tier. An AI scoring engine, powered by Claude, rates every account on fit and ability to pay against a tiered sponsorship package matrix and surfaces its reasoning in a drawer beside each lead. On top of that sits a leads table with a kanban pipeline, a tier colored map view, a campaigns module with a templated outbox and automatic status cascade, a set of REST API endpoints, and a guided product tour.
Built as a live, single operator sales tool. Account and pipeline figures are working data, not closed revenue results.
Stack: React, TypeScript, Tailwind, shadcn/ui, Lovable Cloud (Supabase Postgres, Edge Functions), Anthropic Claude, Google Maps.
Outcomes:
- Generated hundreds of pre vetted, source cited sponsorship leads across four state markets and a national tier.
- Fed a structured pipeline that converted into signed sponsorships for the league and its franchises.
Try the scoring engine
Score a hypothetical sponsor.
An interactive, scaled down version of the PROSPECTOR scoring logic. Enter a hypothetical company and see the fit score, matched tier, and the factors driving it. This uses your input only. It does not load or expose any real account data.
Screenshots