Churn Buster or Butter Payments

Strategic partnership combining payment optimization with multi-channel customer communication—because both matter equally for maximum recovery.

Founded in 2013, Churn Buster brings 10+ years of proven expertise refined across 1,000+ subscription businesses in eCommerce and B2B/SaaS. We recognize the 50/50 reality: approximately half of successful recovery comes from smart retry timing, while the other half comes from effective customer communication (helping customers understand what happened and how to fix it).

What you get: Expert-managed optimization handling setup, monitoring, and ongoing improvements—plus full transparency into what's happening and why. Concierge onboarding, quarterly strategy reviews, and proactive recommendations included. Results without the work, visibility without the complexity.

Pricing: Predictable subscription model tied to your MRR with month-to-month contracts. No attribution complexity, no hidden costs.

Beyond Dunning: When you're ready, expand to voluntary churn prevention with Cancel Flows—both passive and active churn reduction under one roof.

Machine Learning-driven platform specializing in payment authorization optimization with revenue-share pricing.

Butter focuses exclusively on the authorization layer—using machine learning to optimize retry timing and maximize transaction success rates at the payment processor level. This specialization can deliver strong results when payment processing is the primary recovery constraint.

What you get: Automated optimization with minimal operator involvement. Technology-first approach handles retry decisions behind the scenes, ideal for teams that want to fully outsource payment recovery logic to ML models.

Pricing: Revenue-share model based on vendor-attributed recoveries. Lower upfront cost with outcome-based alignment, though attribution methodology is vendor-managed.

Focus: Involuntary churn recovery through authorization-layer optimization.

The Bottom Line:

Churn Buster: Strategic Partnership for Maximum Recovery

Expert-managed payment recovery addressing both halves of what actually drives results—smart retry logic + multi-channel customer communication working together as an integrated strategy.

‍What sets us apart: 10+ years of proven expertise refined across 1,000+ subscription businesses in eCommerce and B2B/SaaS. We handle the optimization for you (concierge setup, ongoing monitoring, quarterly reviews) while giving you full transparency into what's happening and why—no black boxes, no attribution games, no surprises.

‍Pricing: Predictable subscription model tied to your MRR with month-to-month contracts. Most businesses see 10x+ ROI, with typical recovery rate improvements of 10%+ from basic native platform setups.

‍Beyond recovery: When you're ready, expand to voluntary churn prevention with Cancel Flows—the only platform offering both passive and active churn reduction under one roof.

‍Best for: Subscription businesses that recognize customer communication matters as much as retry timing, value strategic partnership over software-only solutions, and want results without the work.

The Bottom Line:

Butter Payments: ML-Driven Authorization Optimization

‍Specialized platform focused exclusively on payment authorization-layer optimization using machine learning to automate retry decisions.

‍What they do well: Strong results when payment processing is the primary constraint. Automated approach reduces operator involvement for teams wanting to fully outsource retry logic to ML models with minimal human interaction.

‍Pricing: Revenue-share model based on vendor-attributed recoveries—lower upfront cost with outcome-based alignment, though attribution methodology is vendor-managed.

‍Trade-offs: Authorization focus without multi-channel customer communication infrastructure. Black-box automation may limit visibility for leadership reporting and ability to build internal retention expertise.

‍Best for: Teams prioritizing authorization-layer optimization, comfortable managing retention strategy independently, and preferring automated ML decisions over strategic partnership.