Switching failed-payment recovery tools is not like switching a dashboard. The old tool touches live renewals, in-flight dunning sequences, and customers who are mid-conversation about a card that just failed. So this is not a post that tells you another tool is bad — we will not invent claims about a competitor we cannot verify from your account. It is a comparison framework: the questions to ask, in writing, before you move, and a migration checklist to run so no renewal falls through the gap between two systems.
Compare the pricing model, not the headline
Ask how you will actually be charged as recovered revenue grows. Is pricing a percentage of what is recovered, a tier that rises with volume, or a flat fee you can budget? A percentage model can look aligned and still become your largest billing line in a good month — which is a strange penalty for success. A flat model, by contrast, is boring and predictable. Our own interest is on the table: the case for a Flycode alternative built around flat-fee recovery rests on that predictability, at $179/mo flat. Whichever model you choose, model it against your own last six months of recoveries, including your best month, not your average one, and ask what happens to the price if recovery doubles.
Compare platform coverage against your real stack
List every place a subscription can fail for you today — Stripe, Recharge, Chargebee, Recurly, Braintree, or whichever combination you actually run — and ask, platform by platform, what the new tool does there. Is the integration native or a workaround? Does it read decline reasons, write back outcomes, and respect the billing platform's own retry schedule, or will two systems retry the same invoice competitively? Coverage on a logos page is not coverage in your account. Test with your messiest platform first, not your cleanest, and include any storefront where billing and checkout are run by different systems.
Compare what happens at cancellation, not just at failure
Recovery and retention overlap at one sensitive moment: the customer who clicks cancel. Ask whether the tool offers cancel deflection — a pause, a skip, a save offer, a chance to fix a payment problem that was the real reason for leaving — and how those offers are controlled. Can you cap discounts, target them by tenure or plan, and see which saves stuck after ninety days rather than merely delaying churn by a month? A deflection feature you cannot govern becomes a discount machine. One you can govern, honestly and without dark patterns, is a service conversation at the exact moment it matters.
Compare how recovered revenue is counted
This is the question that decides whether you trust every later report. Ask for the definition, precisely: which payments count as recovered, over what window after which intervention, and how are payments excluded that would probably have succeeded anyway, such as a customer updating a card before any message was sent? What about refunds, chargebacks, and customers who recover and then cancel within a month? Two tools can report wildly different results from identical data simply by counting differently. Agree the definition before migration, export your baseline from the old tool, and hold the new one to the same arithmetic for at least the first quarter.
The migration checklist
- Export everything first: current retry and email settings, templates, suppression lists, and at least a year of recovery reports, before you change a single setting.
- Inventory in-flight cases: every subscription currently in dunning, its attempt count, and its next scheduled step, and decide explicitly who owns each one on cutover day.
- Freeze overlapping automation: confirm the old tool, the new tool, and your billing platform will never all retry or email the same customer in the same window.
- Move templates, then read them aloud: sender domain authentication, branding, card-update links, and support addresses all break quietly in migrations.
- Run a small cohort first — one platform or one plan — for a full billing cycle, and compare it with your agreed definition of recovered revenue.
- Keep the old account readable, not deleted, until that cycle reconciles, so disputes about numbers can be settled from records rather than memory.
Handled this way, switching is unglamorous and safe, which is exactly what billing changes should be. Swipe Again's approach to failed payments is one option to evaluate with this checklist in hand — but use the checklist on us, too, and on anyone else you consider. A tool that welcomes these questions is telling you something. A tool that dodges the counting question is also telling you something.
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