Slicker

Slicker tackles a costly problem: involuntary churn from failed payment attempts. Most subscription businesses lose 1–3% MRR to this, and half could be prevented with better retry logic. Slicker's pitch is direct—pay only if it beats what you're currently doing. That's refreshingly honest and takes the risk out of trying. The real differentiator is the AABB testing methodology, borrowed from clinical trials. It eliminates vendor-marketing fluff. Before you commit, Slicker runs a controlled test on your actual payment data. If the lift in recovery rates isn't statistically significant, you owe nothing. That builds trust in a market where recovery claims are often exaggerated. On the product side, the ensemble of ML models that consider network-level messages, gateway errors, and behavioral signals is genuinely sophisticated. The attention to retry timing around paydays and bank holidays shows domain depth. And the multi-gateway routing can automatically shift failed transactions to a different processor—handy if one gateway has downtime or higher decline rates. Where it bites: pricing is opaque. There are no public tiers—every deal is custom based on your payment volume and recovery potential. That's fine for enterprises but a hurdle for small teams. The vendor page suggests the product is economical only above $50K annual revenue. For smaller shops, fixed-fee competitors like Churn Buster or Recurly Smart Retries may be cheaper. Also, Slicker is cloud-only (no on-premise), and it operates only through your existing payment rails—it doesn't replace your processor or billing system. That's a feature for most (easy setup) but a limitation for companies with strict data sovereignty requirements. In practice, we'd reach for Slicker when involuntary churn is a known