# PayFix

> PayFix is a SaaS tool that automatically recovers failed Stripe payments through smart retries and personalized dunning email sequences. It helps subscription businesses reduce involuntary churn by recovering revenue that would otherwise be lost to expired cards, insufficient funds, and other payment failures.

PayFix connects to a user's Stripe account via OAuth, listens to webhooks for failed charges, and runs configurable dunning sequences. Recovery results are surfaced as "$X recovered this month" in the dashboard.

## Core pages

- [Home](https://payfixapp.com/): Product overview and primary CTA.
- [Pricing](https://payfixapp.com/pricing): Plans, feature comparison, and FAQ.

## Pricing

All prices in EUR. Annual billing saves 20%.

| Plan    | Monthly | Annual (per month) | Volume                        |
|---------|---------|--------------------|-------------------------------|
| Starter | €25     | €20                | Up to 500 failed payments/mo  |
| Pro     | €50     | €40                | Unlimited failed payments      |
| Max     | €80     | €64                | Unlimited + team seats + API  |

Every plan includes a 14-day free trial. No credit card required to start.

## Key concepts

- **Failed payment recovery**: Automated retry logic and customer outreach when a Stripe charge fails.
- **Dunning sequence**: A configurable series of email touchpoints triggered by a failed payment.
- **Smart retries**: Retry scheduling tuned to be more effective than Stripe's default retry behavior.
- **Recovery dashboard**: Tracks recovered revenue, recovery rate, and per-customer status.

## Trust and security

- Built on Stripe OAuth — never stores raw card data.
- Webhook signatures are verified before any action is taken.
- Idempotent processing prevents duplicate charges or duplicate emails.

## What PayFix is not

- Not a payment processor — it works alongside Stripe, not instead of it.
- Not a generic email marketing tool — dunning logic only.
- Not a churn-analytics product (yet) — recovery first, analytics later.