Case study · Data + lead generation
Lead Data Engine
A sourcing, verification, and scoring engine built for a data buyer who grades every vendor against his own answer key.
graded pilot
paid calibration
funded build
client code ownership

/ context
He hired us to fail his test, and we didn't
This client keeps a master answer key of contacts he already knows are correct, and grades every vendor sample against it. The point is to catch fakers.
He did not hire off a pitch. He paid $300 for a calibration batch built in his exact template, then graded it by hand.
/ the pilot
The score was 8 out of 10. Three moments mattered more
His notes on the two misses became the build spec. The score was almost beside the point next to what the pilot proved.
Our freshness check flagged one of his own confirmed contacts who had quietly changed jobs. One miss was ours, a filter set too strict that benched a valid contact, and we said so instead of arguing the edge case. He assumed the data came from scraping LinkedIn. It did not, and we corrected him even though the wrong assumption was in our favor.
/ the build
A $4,500 engine he owns outright
He funded a $4,500 engine: sourcing, enrichment, verification, scoring, delivered in his own template. He owns the code outright.
Raw data costs pass through at cost, itemized on every invoice, never blended into the fee. He can see exactly what he is paying for.
/ status ledger
- DeliveredPaid calibration pilot, graded 8/10 in his template
- In buildThe $4,500 owned-code sourcing and scoring engine
No delivered results are claimed yet. When the engine ships and he has graded the output, the real numbers go here. Not before.