Monthly ARR loss cut by 79%.

Sector
Healthcare Software
Revenue
£50–100m
Engagement
ARR Cube Clean-Up
Service line
Foundational Data

The situation.

The client had built a customer cube, but a series of acquisitions running on different ERPs meant the business logic flowing from invoices into ARR was inconsistent. Historic data showed unrealistic month-on-month downsell and churn, which depressed reported GRR and made the numbers impossible to trust.

The process.

We took a bottom-up approach to identify the most impactful customers and adjusted their ARR using supporting evidence, then a top-down approach to find and fix business-logic errors within customer segments. We retained the existing cube and overlaid the adjustments, so there was a clear before-and-after picture, with confidence scores and justifications that made the updated cube auditable.

The outcome.

Average monthly ARR loss fell by 79% across the measured period, producing a reliable GRR figure for the first time. The stabilised cube now supports accurate historic snowball analysis at a more granular level, ready to defend in front of a sponsor or a bidder.

MORE WORK

Other engagements.

CLOUD HR SOFTWARE · FOUNDATIONAL DATA

One source of truth for ARR, across every invoicing system.

Single source-of-truth customer cube, consolidating multiple systems.

Read the case study
B2B ERP SOFTWARE · EXIT PREPARATION

A bidder-ready ARR cube, defended in DD.

NRR and GRR uplift from correct classification of ARR movements.

Read the case study
TECHNOLOGY · FOUNDATIONAL DATA

Fast-moving ARR, finally trackable.

Key sales metrics tracked and cross-cut in one place.

Read the case study

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We'll walk you through how we work, the shape of a typical first engagement, and the case studies closest to your situation.

W H A T   Y O U   G E T
  • Senior, UK-based analyst leads. No offshore handoffs.
  • Six diligence pillars, one cube, one data room.
  • KPI definitions matched to your sponsor's LPA (limited partnership agreement).
  • A first finding usually within six weeks.