An industrial services sales engine reads permit filings, facility expansions, compliance deadlines, and contractor churn, then puts your firm in front of the plant manager before the bid list is written. At a $60,000 average contract, two lost deals a quarter is $480,000 a year of work that went to whoever called first.
Request a briefingEvery point is $8,000 of annual leak, orbiting at the speed this industry's inquiries cool (window: 24 hours). The flash is a buying signal firing, caught or missed. Full table: the Bottleneck Index · Feel it: the window game
| Metric · Industrial Services | Representative value |
|---|---|
| Average deal value | $60,000 |
| Typical sales cycle | 30 to 90 days |
| Window before an inquiry cools | 24 hours |
| Winnable deals lost per quarter (typical) | 2 |
| Annual cost of the bottleneck | $480,000 |
JSU Bottleneck Index · representative values from deal-pattern work since 2009 · your briefing runs your real numbers
The engine opens conversations before the RFP exists. In industrial services, the four signals that matter most:
Signal finds the buyer in motion. Profile reads what they need to believe, using AI.DA models in production since 2012, three years before OpenAI existed. Message aims every word and follows up around the clock. Revenue is the only scoreboard: pipeline created, deals closed, ROI you can audit.
Roughly $480,000 a year at typical volumes: two $60,000 contracts lost per quarter to firms that saw the trigger first. Plant managers shortlist whoever shows up before the bid list exists.
Permit filings, compliance deadlines, facility transactions, and management changes. Each one is public weeks before procurement acts.
Long cycles are where follow-up dies in inboxes. The engine holds every thread warm, logs every commitment, and never lets a 90-day cycle cool at day 40.
Lists are names. The engine is timing: which name, this week, and what they need to hear first.