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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.
Runs onBodham- unexpected enterprise account churn reduced
- 42%unexpected enterprise account churn reduced
- early detection of account disengagement improved
- 2 weeksearly detection of account disengagement improved
How the work runs
The pressure that made this worth automating, the steps the system runs, and what came out the other side.
Pressure & Trigger Points
- Customer Success Managers (CSMs) relied on intuition and annual renewal dates to gauge customer satisfaction, missing early disengagement signals.
- Identifying accounts with falling weekly active user logins or declining core feature usage required complex SQL queries across billions of raw telemetry events.
- Unexpected enterprise account churn resulted in $3.4M in Annual Recurring Revenue (ARR) losses annually.
The run · 5 operational steps
Click any step to inspect telemetry signals, model reasoning, and governance gates.
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Live Product Telemetry Ingestion & Querying
Bodham connects directly to cloud data warehouses, indexing user session events, feature triggers, and support tickets.
Real-time operational telemetry & queue
MCP grounded vector inference
Policy constrained with audit write-back
Verified Business Outcomes
- 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.
Capabilities this relies on
- nl to query
- system connectors
- workflow orchestration
- evidence audit trail
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