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Customer Stories

Three Teams That Caught Their At-Risk Deals Early

What changes when your forecast is built on call signals, not rep optimism. Specific outcomes from real Winpathio deployments.

Case studies

KS
Kaleo Systems
B2B HealthTech SaaS · 11-person sales team
The Problem

Kaleo's sales team was consistently missing quarterly targets by 15–22% despite healthy-looking pipelines three weeks out. The VP of Sales could see deals going quiet in CRM notes, but couldn't tell which silence was normal sales-cycle pacing and which was a pre-slip warning.

How Winpathio Helped

Within 45 days of deployment, Winpathio's signal model identified a recurring pattern: deals that slipped almost always had a "stakeholder silence" signal on the second call followed by a "follow-up delay" signal within the same week. The CRM showed those deals as Proposal stage — technically healthy. The signal layer knew better.

"We always knew some deals were going cold — we just couldn't see it fast enough. Now we catch it 3 days before the forecast review, not 3 days after it slips."
— VP Sales, Kaleo Systems
34%
reduction in slipped deals (Q1 vs prior year)
3.1 days
average early warning lead time
8 weeks
to first signal-triggered win-back
OT
Orbex Technologies
B2B Infrastructure SaaS · 6 AEs, 2 SEs
The Problem

Orbex's enterprise deals averaged 90+ days. The team had long periods between calls and struggled to know whether a deal was progressing or fading. Their RevOps lead was spending 4–6 hours weekly manually reviewing call notes and CRM fields to build a "real" forecast view separate from the official pipeline.

How Winpathio Helped

Winpathio automated the signal scoring that their RevOps lead was doing manually. After the first full quarter, the team discovered that two of their highest-value pipeline deals had been flagged with "budget timeline ambiguity" signals 6 weeks earlier — signals that had gone unnoticed in CRM notes. Both were recovered with targeted outreach.

"I was manually doing what Winpathio now does automatically — reading call notes, cross-referencing CRM dates, looking for patterns. It freed up my whole pipeline review workflow."
— Revenue Operations Lead, Orbex Technologies
5 hrs
weekly saved in manual pipeline review
2 deals
recovered in first quarter ($380K combined)
91%
forecast accuracy improvement (Q2 over Q1)
CL
Carvo Logistics
Freight & Supply Chain SaaS · Mid-market
The Problem

Carvo's sales cycles involved multiple buyers — logistics directors, IT security, and finance. A deal that looked on track in the CRM could be quietly stalling because the wrong stakeholder was being prioritized. Their sales team had no visibility into stakeholder engagement patterns across the buying committee.

How Winpathio Helped

Winpathio's "champion change" and "multi-stakeholder silence" signals proved especially valuable for Carvo's complex sales cycles. Within 60 days, reps started receiving alerts when the tone of specific stakeholder mentions in calls shifted — a signal that had consistently preceded deal delays but had never been tracked systematically before.

"Multi-stakeholder deals are the hardest to forecast. Winpathio gives us visibility we didn't have — which stakeholder went quiet and when. That alone changed how we run pipeline reviews."
— Head of Sales, Carvo Logistics
41%
fewer late-quarter forecast surprises
60 days
from deploy to first actionable signal alert
18%
increase in average deal velocity
What teams say

Voices from the pipeline

"Before Winpathio our forecast was built on rep confidence and CRM stage. Now we have a second data point — the actual signals from the calls. Those two things agree less often than you'd expect."
"The 3-day window is the whole point. Once a deal is surfaced in the forecast meeting as a problem, you've already missed the intervention window. Winpathio moves that conversation earlier."
"We connected Gong and Salesforce in about 20 minutes. Our first risk alert showed up the following morning — a deal our rep was confident on. That deal pushed. The alert was right."

Your pipeline has risk signals in it right now. Start reading them.

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