Skip to content
Wayam AI
TechnologyAnalyticsRepresentative scenario

Telemetry Driven Proactive Churn Prevention in Enterprise B2B SaaS

A B2B enterprise software provider managing 850 corporate accounts, with application usage logs, feature adoption events, and support tickets stored in cloud data warehouses.

Run on Bodham · Conversational Analytics

One account drifting away from the group and being caught early

The challenge

    01

    Customer Success Managers (CSMs) relied on intuition and annual renewal dates to gauge customer satisfaction, missing early disengagement signals.

    02

    Identifying accounts with falling weekly active user logins or declining core feature usage required complex SQL queries across billions of raw telemetry events.

    03

    Unexpected enterprise account churn resulted in $3.4M in Annual Recurring Revenue (ARR) losses annually.

How Bodham solves it

    01

    Live Product Telemetry Ingestion & Querying

    Bodham connects directly to cloud data warehouses, indexing user session events, feature triggers, and support tickets.

    02

    Conversational Account Health Scanning

    CSMs ask Bodham to identify accounts exhibiting a 25% or greater drop in weekly active user logins over the preceding 30 days.

    03

    Automated Churn Risk Scoring & Ranking

    Generates prioritized risk tables ranking accounts by contract renewal date, ARR value, and usage degradation severity.

    04

    Root Cause Diagnostic Summaries

    Provides natural language diagnostic cards detailing specific unadopted features and unresolved support ticket bottlenecks.

    05

    Proactive Intervention Workflows

    Dispatches automated re engagement playbooks and targeted training schedules directly to assigned CSMs.

The outcome

unexpected enterprise account churn reduced
0%unexpected enterprise account churn reduced
early detection of account disengagement improved
0 weeksearly detection of account disengagement improved
  • Unexpected enterprise account churn reduced by 42%, protecting $1.4M in ARR.

  • Early detection of account disengagement improved from 2 weeks before renewal to 75 days in advance.

  • Customer success team productivity increased by 35% through automated risk prioritization.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

Bring us the version of this that you actually have.

Every engagement is fixed-scope and outcome-guaranteed. The scoping conversation starts with your systems, not with a template.