Use Case

Deal Risk Detection

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Overview

What this means for operators

Deals do not fail overnight — they fail slowly. A prospect stops responding. A close date slips by two weeks. Activity drops to zero. These signals exist in your CRM data, but without automated monitoring, they go unnoticed until the deal is formally marked as lost. By then, the window for intervention has closed.

Deals go dark in the CRM. Close dates slip without anyone noticing. By the time the rep reports the deal as lost, there was no opportunity to intervene.

The problem

Deals go dark in the CRM. Close dates slip without anyone noticing. By the time the rep reports the deal as lost, there was no opportunity to intervene.

What operators do today

Common workarounds that fall short

Weekly pipeline review meetings where managers manually check deal activity one by one

CRM filters for deals without recent activity — manual, inconsistent, and easily forgotten

Rep self-reporting on deal health, which inherently skews toward optimism

Quarter-end deal scrubs that discover risk too late to change the outcome

Results you can expect

Measured outcomes from Fairview users

Top 5

at-risk deals flagged in the dashboard every week based on configurable criteria

3-4 wks

earlier intervention on stalling deals compared to manual pipeline reviews

Assignable

follow-up actions recommended for each flagged deal with specific next steps

Features used

Powered by

Pipeline Health Monitor Next-Best Action Engine Forecast Confidence Engine

What operators say

"Three of our reps had deals sitting at 'proposal sent' for over 40 days with zero activity. Fairview flagged all of them. Two were already lost, but we caught the third in time and closed it at $75K."

Derek Kim

Sales Manager, Vertex Solutions (B2B services, enterprise segment)

Explore more

Related use cases

Pipeline Visibility Revenue Forecasting Anomaly Detection

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See how Fairview handles deal risk detection

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FAQ

Frequently asked questions

No activity for a configurable number of days, slipped close date, stage regression, or pipeline composition anomaly.
Yes. Risk criteria can be configured by deal stage, allowing tighter monitoring for later-stage deals.
Yes. HubSpot, Salesforce, and Pipedrive all support deal risk detection.
Yes. The Next-Best Action Engine generates specific follow-up recommendations that can be assigned to team members.

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