At a glance
| Chaser | Churnkey | |
|---|---|---|
| Primary focus | Failed-payment recovery, human-in-the-loop | Full churn suite: cancel flows + dunning |
| Core model | Exception queue: automation runs the playbooks, humans take whatever they don't resolve | Automated flows + in-app modals |
| Voluntary churn (cancel flows) | Not the focus | Yes, core strength |
| VIP / relationship-safe routing | Core: hold automation, route to a human | Segment exclusions |
| Reconciliation write-back to ledger | Core: every outcome, including losses | Available |
| Forecasting at-risk revenue | Yes, next 30 days | Not the focus |
| Pricing entry | $79-149/mo by tracked volume | Starts higher, scales with MRR |
| MCP server for AI assistants | Yes: recovery queue, at-risk renewals, closed outcomes | Yes: churn analytics, cancel flows, GDPR endpoints |
| Best for | Teams whose biggest leak is failed payments on accounts that matter | Teams wanting one suite for cancel-flow + dunning |
Where they genuinely differ
Churnkey's bet is breadth: catch churn at cancellation and at payment failure in one platform, heavy on automated in-app modals. Chaser's bet is that the expensive failures are the ones automation can't close, or the ones you flag for a person up front, so the product is an exception queue that makes a human efficient rather than another automated sequence. If voluntary churn (people actively cancelling) is your bigger problem, Churnkey's cancel flows are a real strength Chaser does not try to match.
Human-in-the-loop command center. Churnkey automates cancel flows. chaser.cash routes unresolved and high-value cases to a human command center where an operator decides with full Stripe context on screen. No other recovery tool has this.
Loss reconciliation. Churnkey tracks what was saved. chaser.cash writes every outcome back to your ledger -- wins AND losses -- so your finance stack has a complete picture, not just the recoveries.
MCP server for AI agents. Both platforms offer MCP servers, but the scope differs. chaser.cash exposes recovery queue, at-risk renewals, and closed outcomes so agents can act on involuntary churn. Churnkey's MCP surfaces churn analytics, cancel flows, and GDPR endpoints. If you want an agent inside your recovery operation, both are viable; the data models they expose are different.
Pricing transparency. Churnkey has removed public pricing and routes all prospects through a sales call. chaser.cash pricing is public, flat, and starts at $79/mo. The trial clock does not start until chaser.cash recovers its first $100 for you -- you prove the value before paying anything.
Sandbox. Churnkey has no sandbox environment. chaser.cash has Safe Mode -- a 90-day read-only audit that replays your real Stripe history before anything fires. You see your recoverable number before committing to anything.
Loss reconciliation. Churnkey tracks what was saved. chaser.cash writes every outcome back to your ledger -- wins AND losses -- so your finance stack has the complete picture.
Who should pick which
Pick Churnkey if you want one suite covering cancellation deflection and dunning, and you have the budget for a broader platform. Pick Chaser if your sharpest leak is involuntary churn on accounts where a wrong automated email is expensive, and you want a recovery workflow with ledger reconciliation rather than a churn suite.
Where Chaser is still early (so you can decide with eyes open)
Chaser is in founding-partner beta. In-app recovery surfaces (banners, paywalls) are in preview, and native CRM and ledger connectors (HubSpot, Salesforce, QuickBooks, NetSuite) are on the roadmap, not shipped. The closed loop runs today on email plus a hosted, Stripe-tokenized card-update page. If you need shipped native connectors right now, that is a fair reason to wait or choose otherwise.
How Chaser thinks about recovery
Chaser treats failed payments as operational exceptions, not marketing sequences. The workflow is: classify the root cause, run the right playbook automatically, and route unresolved cases (plus anything your VIP or threshold rules flag) to a human with full context. Read more about the approach in human-in-the-loop dunning or browse the open playbooks to see how each failure type is handled.