Here's how the three detection layers work:
๐ฃ๐น๐ฎ๐ป ๐๐ฟ๐ถ๐ณ๐ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป asks: What percentage of leads this week match our ICP? How does that compare to last week? What's the 7-day trend?
When 35% of this week's leads come from $10-$30M companies outside your target range, and that's up from 15% last week, the system flags it immediately. Not after 8 weeks when conversion data confirms those leads don't close. In week one, when you can still redirect the campaigns.
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๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป ๐๐ฟ๐ถ๐ณ๐ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป correlates activities with momentum signals in real time. Stage velocity, engagement patterns, objection themes, champion involvement, and competitive mentions.
Your reps make the same number of discovery calls as last month. Activity metrics look fine. But stage velocity from discovery to demo increased from 12 days to 19 days. That's drift. Demo-to-technical-validation conversion dropped from 65% to 52% over three weeks. That's acceleration.
The system detects the deceleration pattern while deals are still in mid-stage. Before it becomes systemic.
๐ข๐๐๐ฐ๐ผ๐บ๐ฒ ๐๐ฟ๐ถ๐ณ๐ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป monitors discount rate trends, deal cycle extensions in specific segments, drops in champion engagement, procurement stalls, competitor displacement patterns.
Your forecast shows $12M. Late-stage pipeline has $14M with 70%+ win probability. But discount rates rose from 8% to 11% over three weeks. Time in negotiation increased from 14 days to 21 days. Champion engagement declined.
These are outcome drift signals indicating your $12M forecast is declining toward $9M. You won't see this in closed-lost data for 4-6 weeks. But the sensing layer detects it early.

