Executive Summary

Failed payments quietly erode recurring revenue; industry averages suggest about 3% of ARR is recoverable from declines, and multiplied across an estimated 6,000,000 subscription businesses with $200,000 average ARR yields roughly $36.0B annually. The problem is most acute for SaaS, membership, media and other subscription-first companies—especially SMBs and mid-market firms that lack the engineering resources or collections expertise to run optimized retry and dunning programs. You could build an automated recovery platform that ingests processor decline metadata, orchestrates retry windows, personalized messaging and incentives, and executes multi-channel dunning (email, SMS, in-app, card-updater and payment retries) via a simple API and dashboard. The product should combine direct processor integrations, pre-built workflows, outcome tracking, and a compliance-first approach, with an optional pay-for-performance pricing model to lower buyer resistance. This market is attractive now because payment APIs are exposing richer decline codes and meta, and ML models can predict the optimal retry timing, channel and incentive per account—turning small percentage recoveries into meaningful LTV gains (roughly $6,000 per average business per year if 3% is recoverable). Acquisition economics are easier to justify since recovered revenue is measurable and immediate, but the business depends on rapid experimentation and access to high-quality decline and outcome data. To stand out you’ll need deep processor partnerships for full signal access, proprietary models trained on realized outcomes, and operational controls that reduce disputes and churn—these create a defensible advantage beyond a basic dunning tool. Be honest that competition is medium (payments vendors, collections platforms, and in-house teams), regional regulatory complexity and the cold-start data problem are real challenges, and a pragmatic go-to-market (e.g., performance pricing and strong case studies) will be necessary to win early customers.

Market Opportunity

Missed SaaS revenue from failed payments — automated collection targets a $36.0B = 6,000,000 subscription businesses x $200,000 avg ARR x 3% recoverable failed-payments annually total addressable market with medium saturation and a year-over-year growth rate of subscription economy and online payments growth 10-20% YoY (SaaS expansion + card penetration).

Key trends driving demand: Subscription-first business models -- recurring revenue means small percentage recoveries compound into large lifetime value gains; Payment APIs & richer decline codes -- processors expose decline metadata that enables targeted recovery actions; AI-driven personalization -- ML can predict which retry timing/message/incentive will convert a decline case; Customer-success-as-revenue -- CS teams are increasingly accountable for realized MRR, not just invoiced MRR.

Key competitors include Stripe Billing (and Smart Retries), Chargebee, Recurly, Churn Buster (and similar recovery specialists), Workarounds / adjacent solutions (Intercom + manual CS, spreadsheets, CRM workflows).

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Missed SaaS revenue from failed payments — automated collection

Executive Summary

Market Validation

Market Opportunity

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