A tech company sales engine reads funding events, platform deprecations, leadership changes, and competitor churn signals, profiles which buyer is quietly evaluating alternatives, and opens the conversation before the shortlist forms. At a $95,000 average contract, two lost deals a quarter is $760,000 a year.
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 · Tech Companies | Representative value |
|---|---|
| Average deal value | $95,000 |
| Typical sales cycle | 60 to 120 days |
| Window before an inquiry cools | 24 hours |
| Winnable deals lost per quarter (typical) | 2 |
| Annual cost of the bottleneck | $760,000 |
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 tech companies, 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.
Two lost deals per quarter at $95,000 average contract value is $760,000 a year, usually lost to the vendor who reached the evaluator before the shortlist existed.
Because most outreach reads like marketing. Technical buyers respond to specific triggers and evidence: the engine leads with their stack event and the math, never the brochure.
Funding rounds, leadership changes, deprecations and migrations, and competitor pricing moves. All public before the RFP.
Yes. The signal map differs, the bottleneck does not: speed and aim at first contact decide who makes the shortlist.