ScaleUp AI
92%
Pipeline Accuracy
3x
Forecast Reliability
6 weeks
Time to Results
Unreliable Pipeline Forecasting
ScaleUp AI was growing fast, but their revenue forecasting was a disaster. With a pipeline accuracy of just 40%, leadership couldn't reliably predict revenue, making it impossible to plan hiring, product development, or go-to-market investments.
Key Pain Points
- Pipeline data in HubSpot was inconsistent and often outdated
- Sales stages had no clear exit criteria, leading to deals stuck in limbo
- Marketing and sales used different definitions for qualified leads
- No standardized forecasting methodology across the team
Complete RevOps Overhaul
We implemented a comprehensive RevOps strategy that aligned the entire go-to-market team around unified metrics and processes.
Audited the full funnel to identify leakage points and definition misalignments
Redesigned pipeline stages with clear, objective exit criteria
Implemented lead scoring to ensure consistent handoffs between marketing and sales
Built automated deal hygiene workflows to keep data clean
Created executive dashboards with real-time pipeline health metrics
Trained the team on the new forecasting methodology
Measurable Impact
92%
Pipeline Accuracy
Up from 40%, enabling confident revenue forecasting
3x
Forecast Reliability
Leadership can now make data-driven investment decisions
6 weeks
Time to Results
From kickoff to full implementation and adoption
"GTMTrak transformed our sales process in just 6 weeks. Our pipeline accuracy went from 40% to 92%. The team was incredibly responsive and knew HubSpot inside out."
Sarah Chen
VP Sales, ScaleUp AI
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