Case Study

REACH Scoring Engine

A repeatable scoring methodology across 1,200+ global accounts with CRM-integrated outputs for engagement, risk, and expansion readiness.

The Problem

Account prioritization depended on manual review

Subjective judgment and inconsistent criteria made it impossible to scale CSM execution across a large portfolio.

Across a $250M ARR organization with 1,200+ accounts, Customer Success Managers relied on gut feel and inconsistent criteria to prioritize their time. Without a standardized scoring model, high-value opportunities were missed and at-risk accounts slipped through the cracks.

The Solution

REACH: Repeatable, measurable, CRM-ready

R

Reach — Engagement Breadth

Measured how deeply the customer organization engaged with the platform — active users, feature adoption, and cross-departmental utilization.

E

Engagement — Activity Velocity

Tracked login frequency, content creation, training completion, and support interaction patterns as leading indicators of platform health.

A

Adoption — Feature Utilization

Scored depth of product usage across modules, identifying gaps between contracted features and actual utilization.

C

Churn Risk — Sentiment Signals

Combined support ticket trends, NPS scores, executive engagement drops, and contract proximity into a composite risk indicator.

H

Health — Composite Score

Weighted aggregate of all dimensions producing a single, actionable health score visible in Totango and exportable to Salesforce for CSM workflow integration.

Results

Execution focus at scale

1,200+

Accounts scored

$250M

ARR org-wide impact

Daily

CSM execution tool

Technology Stack

SnowflakeSQLPythonTotangoSalesforceScoring ModelsCRM Integration