SaaS Cohort Churn & Net-Dollar Retention Forensics
Analyzes customer cohort data to decompose churn dynamics, calculate true net dollar retention, and identify the root causes of customer attrition. Produces cohort-level retention curves, revenue concentration analysis, and predictive churn models for SaaS and recurring revenue businesses.
How It Works
Ingests customer-level transaction data, contract terms, and usage metrics to construct cohort-based retention analysis. The forensics engine decomposes gross and net retention into expansion, contraction, and churn components, identifies cohort-specific attrition drivers, and builds predictive models that forecast future retention trajectories under multiple scenarios.
MPPT-CoT Execution Framework
Intake & Specification Lock
Secure data ingestion with schema validation and specification confirmation.
Evidence Kernel Retrieval
Cryptographic validation and provenance anchoring of all source data.
Multi-Branch Scenario Analysis
Parallel scenario forking across base, adverse, and adversarial conditions.
Evidence-Locked Deliverable
Board-ready output with complete audit trails and ownership mapping.
Key Performance Indicators
Source Documentation
Deliverable Outputs
Execute SaaS Cohort Churn & Net-Dollar Retention Forensics
Provide the required inputs below to initiate the MPPT-CoT analysis pipeline. Your data will be processed by our AI-powered analysis engine, producing genuinely tailored, evidence-locked deliverables specific to your submission.
Customer-level data organized by acquisition cohort with revenue and retention metrics.
Relevant contracts, agreements, or legal documents in PDF or DOCX format.
Customer churn data including rates by segment, reasons for churn, and retention metrics.
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