Executive Summary

Many subscription businesses—from bootstrapped SaaS and D2C subscription boxes to mid-market platforms—lose meaningful MRR to involuntary churn caused by payment failures, card expiry and billing mismatches; across 2,000,000 subscription businesses even a 1% recovered MRR materially improves unit economics (for a $1M ARR company 1% recovered MRR is roughly $833/month, about $10k annualized). The problem is often invisible: teams only see aggregate churn and spend months on manual follow-ups, resulting in preventable revenue leakage and high support costs. You could build a data+automation platform that detects payment-risk early using payment-provider metadata (decline codes, network responses, BIN data), classifies root causes, and runs automated, personalized recovery flows (dynamic retry schedules, targeted email/SMS, SMS payment links and self-serve card update pages) with built-in A/B testing and clear ROI dashboards. Focus initial integrations on the top payment processors (Stripe, Adyen, PayPal, Braintree) and billing platforms so pilots can show measurable lift within 60–90 days; the market is large ($12.0B addressable based on 2,000,000 businesses × $6,000 ACV), and trends—broader subscription adoption, richer failure metadata from PSPs, and demand for automated personalization—make timing favorable (Market Score 92/100, Revenue Potential 88/100). This can stand out by tightly closing the loop between detection, tailored recovery, and experiment-driven optimization rather than shipping only dunning emails; using decline-code-aware logic and adaptive retries can improve recovery precision while A/B-tested messaging optimizes conversion per attempt. Strengths include a directly measurable ROI and a clear commercial pitch to revenue owners, but challenges are real: PSP and billing data access varies by partner, privacy/compliance and integration complexity add upfront cost, and incumbents or payment platforms could replicate basic features. A pragmatic go-to-market is to prove a 1–3% recovered MRR in a focused vertical via a paid pilot with clear KPIs, then expand integrations and automated playbooks once the unit economics are validated.

Market Opportunity

Stop subscription revenue bleeding — detect & recover lost MRR automatically targets a $12.0B = 2,000,000 subscription businesses x $6,000 ACV (subscription-retention tooling and services per business) total addressable market with medium saturation and a year-over-year growth rate of 18% - subscription economy and payments tooling growth.

Key trends driving demand: Subscription economy expansion -- more businesses rely on recurring revenue and care about churn metrics; Payment platform sophistication -- richer failure metadata (decline codes, network responses) enables targeted recovery; Personalization & automation -- AI-generated, A/B-testable messaging improves recovery rates; SaaS margin pressure -- SMBs seek lower-cost, higher-ROI tooling to protect MRR.

Key competitors include Stripe Billing (built-in dunning), Chargebee, Recurly, Churn Buster, Workarounds (manual + integrations).

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Stop subscription revenue bleeding — detect & recover lost MRR automatically

Executive Summary

Market Validation

Market Opportunity

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