Operators with more demand than capacity are making the most consequential decision in the business on instinct: which customer to take next. Occupancy scores every pending lead against the book you already have, and predicts what each is actually worth.
“We have over a hundred pending leads and no way to know which are worth serving first.”
Founder · asset-heavy manufacturerFirmographic scoring tells you a company is big. This tells you it looks like the three accounts that have been most profitable for you — which is a different and more useful claim.
A letter grade cannot be argued with. A dollar figure with cost-to-serve and expansion likelihood behind it can be, and should be.
For operators deploying to many customer sites, value is predicted per address — which is also how the subscription scales with the estate rather than a seat count.
In validation with a design partner, scored against a real book of roughly three hundred customers. We would rather prove this on live data than ship a model we cannot defend.
Scoring an address against your own book tells you what a customer like this has been worth to you. It does not tell you what is happening around that address — who else is already serving it, what it costs to get a truck there, whether the area is growing. Those are six separate lookups, and no human does them for 100 pending leads. A swarm does.
These are six unrelated retrievals against six unrelated sources. Done in sequence for 118 leads it is a week of somebody’s life; done in parallel it is minutes and a handful of credits. This is the clearest case in the product where agents are not a garnish — the work is simply not done otherwise.
“Three competitors nearby” is trivia. “Three competitors nearby, and the last four addresses like that returned 60% of your median” is a decision. The local signals are only worth retrieving because there is a book to interpret them against.
Competitive density was the data source we lost when Market Intelligence was retired, and it is what has kept Occupancy in validation. Assembling it per-address on demand is the alternative to buying a dataset — cheaper, current, and scoped to the addresses you actually care about.
When capacity is the constraint, which customer you take next is the highest-leverage decision in the business — and it is usually made from a spreadsheet of inbound, ordered by arrival date.
Billed annually — $24,000 a year — and included in Closed Loop. Currently in validation with a design partner — if you want to be part of that cohort, tell us.
A free Margin Scan reads your data and tells you what your pricing is leaking.