Detect change
Openings, relocations, leases, permits, construction, remodels, reopening, occupancy and expansions create observable buying-window signals.
Intent products get dangerous when weak signals hide behind impressive scores. SpendWindow is built the opposite way: preserve the evidence, challenge the inference, explain the uncertainty, and only deliver opportunities that survive the verification boundary.
Openings, relocations, leases, permits, construction, remodels, reopening, occupancy and expansions create observable buying-window signals.
Business names, domains, locations and official occupant evidence are correlated conservatively. Owners, landlords and contractors are never silently treated as occupants.
Canceled projects, denied approvals, terminated leases, closings, residential work and other negative evidence can suppress or downgrade candidates.
Customer-facing opportunities retain source provenance and require verification. Evidence quality is scored separately from commercial priority.
Verified signals are stacked into a buying journey so stage and velocity can change the recommended action.
Review decisions, source quality and customer outcomes improve ranking gradually without letting tiny samples overpower the evidence.
SpendWindow separates commercial urgency from evidence quality so customers never have to confuse “this is worth working” with “this source proves a contract exists.”
Ranks timing, fit, freshness, likely value and buying-stage context.
Measures source class, recency, independent corroboration and bounded historical calibration.
Every opportunity can explain itself without turning the dashboard into an analyst workstation. Proof is available on demand; uncertainty stays visible instead of being erased.
The verification boundary is the line between raw research and something SpendWindow is willing to place in a seller's feed. AI can surface a candidate; evidence, identity and contradiction checks determine whether it crosses that line. Strong independently corroborated cases can clear a strict automated policy; ambiguous cases remain for review.
See what the customer experience looks like when all of this intelligence is hidden behind a simple next move.