A good cancellation save flow rescues 15-25% of churning customers. A bad one (or none at all) saves 0-5%. The difference is which offer you show when a customer clicks cancel, and how it matches their actual reason for leaving.
Here is an honest comparison of the three leading save flow platforms in 2026.
The TL;DR
- Churnkey ($100-1000+/mo) - Best for SaaS at $250K+ MRR that wants the full retention stack (save flows + dunning + analytics)
- ProsperStack (from $79/mo) - Best for SaaS at $50K-$500K MRR that wants just a clean save flow builder
- Raaft (free tier + $79+/mo) - Best for pre-revenue or under $50K MRR that needs the MVP
Churnkey
What it does: Full retention platform - dynamic save flows, AI dunning, personalized recovery emails, and analytics on what is actually recovering. The bundling is the value.
Pricing: Roughly $100-1000+/month depending on subscription volume. Custom pricing above $5M MRR.
What is good:
- Dynamic reason-matched offer routing built in
- A/B testing framework included
- Bundled with dunning and payment recovery (see AI dunning guide)
- Strong analytics on which offers save which cancellation reasons
- Multi-step flow builder with pause, downgrade, and offer branches
What is not good:
- The pricing is meaningful (justifiable above $250K MRR, questionable below)
- Implementation requires connecting billing, ESP, and product
- Some features overlap with what your ESP already does
Pick this if: You are at $250K-$5M MRR and want a single platform for save flows + dunning + retention analytics. The bundling replaces 3 separate tools.
ProsperStack
What it does: Clean save flow builder with visual editor, reason-based routing, and standard offer types (discount, pause, downgrade, extension).
Pricing: From $79/month, scales with cancellation volume.
What is good:
- Fast to set up (typically 30-60 minutes)
- Clean visual flow builder that non-engineers can use
- Solid reason capture and analytics on which reasons are cancelling
- Good survey collection during the cancel process
- Fair pricing for the value
What is not good: