At-Risk Deal Recovery
Deals slip quietly. The champion stops replying on Friday, the next meeting gets pushed a week, the procurement contact never gets looped in, and the forecast call is the first time anyone says the quarter is in trouble. This playbook reads those signals in the CRM and the inbox, names what changed, and runs the recovery play that matches the cause.
The problem
AEs know their at-risk deals when they see them, but pipeline reviews surface the problem a week or two after the recovery window closes. Manager intuition catches some of it. Most of it sits in response-latency data nobody is looking at.
How DataChi runs it
DataCHI scores every open opportunity on meeting cadence, email response latency, stakeholder breadth, and sentiment from the most recent transcripts. When a deal slips on a specific axis, the playbook picks the matching response: a multi-thread sequence if engagement narrowed to one contact, a champion-change play if the original buyer went quiet, a MAP refresh if dates are sliding, or an exec sponsor introduction when the deal needs altitude.
What's included
- Risk scoring across cadence, latency, stakeholder breadth, and sentiment
- Champion-health monitoring with replacement suggestions
- Multi-thread sequences targeting unengaged buying-committee roles
- MAP refresh with date and owner updates
- Async demo and Loom generation for stalled technical reviews
- Pipeline review brief with named at-risk deals and the play to run
Who it's for
AEs, sales managers, and CROs running multi-stakeholder cycles where slippage in one week costs the quarter.
Outcomes
- Intervention while the champion is still replying
- Forecast calls that surface fewer surprises
- Recovery plays selected on cause, not on rep instinct
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Read playbook →Ready to run At-Risk Deal Recovery with DataChi?
See the playbook in action with your data, your stack, and your team.
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