How ScaleUp increased close rate by 28%
Case study on improving close rate by detecting risk signals across the pipeline.
Haliro Team
HALIRO Team
Revenue execution intelligence expertise for Sales & RevOps teams.
Summary
ScaleUp restructured pipeline reviews around engagement signals and improved close rate by 28% in 90 days.
Context
- B2B SaaS market
- 25-person sales team
- Volatile pipeline and low visibility
Results
- +28% close rate
- -18% sales cycle
- +22% forecast accuracy
Problem (before)
The pipeline was volatile, buying signals were scattered across teams, and true visibility into active accounts was partial. Reps reacted late without clear prioritisation, which lengthened cycles and created forecast blind spots.
What Haliro changed
Haliro structured pipeline reviews around actionable engagement signals, tightened CRM hygiene, and introduced a shared qualification framework to align Sales and RevOps.
Implementation (90 days)
Week 1–2: instrument key signals and consolidate sources.
Week 3–6: establish review routines and shared prioritisation rules.
Week 7–12: scale adoption, refine workflows and roll out team-wide.
Why it worked
Signals were captured at the right time, the team knew what to prioritise, and CRM blind spots were reduced. This made execution more consistent and pipeline decisions more reliable.
Lessons & checklist
- Define 5 to 7 truly actionable buying signals.
- Align a weekly pipeline review ritual with fixed criteria.
- Document expected actions for each signal level.
- Maintain strict CRM hygiene (owners, stages, dates).
- Measure impact on cycle time, forecast and close rate, then adjust.
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