Haliro
Case Studies8 min·Dec 2024·Last updated: December 12, 2024

How ScaleUp increased close rate by 28%

Case study on improving close rate by detecting risk signals across the pipeline.

HT

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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