High Wire Lift

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High Wire LiftThe acceptance suite: tokens, updater, retries, and cascading

Most lost revenue is not fraud. It is good payments that fail: an expired card on a subscription, an issuer that says no for a reason that would not apply a minute later, or a processor having a bad hour. This is the set of tools that recovers them.

Six tools working on the same payment.

Each one helps on its own. Together they decide whether a payment that should succeed actually does.

Network tokens, requested where it counts.

A credential issued by the card network in place of the card number. When a customer's card is replaced, it keeps working, so stored cards and subscriptions do not break. The card number stays as a fallback and is retried when a token attempt fails.

Survives a reissued cardyes
Falls back to the card numberautomatic
Portable across processorswhen we request it
Stored cards18,402
Tokenized86%
Refreshed this month31%
Declines avoidedsample

Sample data

01Card account updater

Around four in ten cards are replaced each year. We refresh the details before the billing date instead of waiting for the decline.

02Adaptive retries

Driven by the decline code and the issuer's behavior, not a fixed schedule. A soft decline is treated differently from a "do not honor."

03Cascading across processors

When one processor declines or stops answering, the payment is re-sent to another MID that can take it. The customer sees one attempt.

04Retry cost control

Attempts are capped per card, per issuer, and per window, and we report what the retries actually earned.

05Issuer-aware routing

Processors perform differently with the same issuer and BIN range. Routing follows the evidence and updates as it changes.

High Wire Vault

Where your stored cards actually live.

A stored card base living inside one processor's vault is the quietest form of lock-in in payments. Moving it later is a regulated-data migration with a coordinated cutover, which is why few businesses ever do it, and why processors stay relaxed about your pricing conversations.

High Wire keeps the vault, so your stored cards are held independently of any one processor. How freely a given credential moves depends on who requested it, and we tell you which of your processors share network tokens and which keep their own reference behind one. Where a processor abstracts the credential, moving that volume is a card data migration, and we run it rather than leave you to negotiate it.

Credential typeWho requested itCan it be charged on another processor?
Processor referenceThe processor, under its own credentialsCommon. You receive an identifier that only that processor understandsNo. Moving means a card data migration between PCI-compliant providers, which we run for you
Network token requested by a processorThe processor, under its own token requestor IDNot in practice. Lifecycle updates and cryptograms still come through that processor
Network token requested independentlyA token requestor ID that is not tied to one processorWhere we are heading: tokenizing the card before the payment reaches any processorYes. The same credential can be presented to whichever processor you route to
PCI scopeReduced, and tied to that processorReduced, and not tied to one processor

Roadmap: requesting network tokens ourselves, so a card is tokenized before the payment reaches any processor and the same credential can be routed to any of them. Until that is live, portability is per processor, and we tell you which is which before you board.

A better model for stored card data.

Three properties decide whether a stored card base is an asset or a liability. Most setups get one of them.

One integration, every processor

The card is collected once, by us, and presented to whichever processor a payment is routed to. Adding a processor does not mean collecting cards again or running two vaults side by side.

Not locked to one provider

A vault that belongs to your processor makes leaving a migration project. Ours does not. Where a processor abstracts the credential, we run the migration for you rather than leaving you to negotiate it.

Smaller PCI scope

Card data is collected in a component that keeps it off your servers, so the control set you have to satisfy shrinks. See what that means for your questionnaire Preview.

What happens to a declined payment.

Not every decline should be retried, and the ones that should are not all retried the same way. The ladder below is what runs before a customer ever sees a failure.

StepDecisionOutcome
1. Classify the declineHard declines (stolen, closed, invalid) never retried. Soft declines assessed on code and issuerDecline coderouted
2. Refresh the credentialAccount updater and network token checked before spending another attemptCredentialupdated
3. Retry on the same processorOnly where the code and issuer history suggest it will landSame MIDapproved
4. Cascade to another processorA different MID with better history for this issuer and marketSecond MIDapproved
5. StopAttempt caps per card, issuer, and window, so retries do not become a cost or a compliance problemCappedheld
6. ReportRecovered revenue, attempts spent, and cost per recovery, by processor and marketLedgermeasured

Sample flow. Attempt caps and retry windows are configurable per merchant.

Subscriptions lose customers to expired cards, not cancellations.

Involuntary churn is the quietest revenue leak in recurring businesses. Updated credentials, network tokens, and retry timing tuned to the billing cycle keep customers who never intended to leave.

Recurring billingEffect
Credential refreshed before the chargeUpdater runs ahead of the billing datefewer declines
Retry timing by cycleAttempts scheduled around pay dates rather than fixed intervalshigher recovery
Dunning that stops on successCustomer emails end the moment a retry landsless churn
Reporting on involuntary churnSeparated from customers who actually cancelledclearer picture

What it does

  • Network tokens, with the card number kept as a fallback
  • Card account updater run ahead of the billing date
  • Adaptive retries classified by decline code and issuer behaviour
  • Cascading to a second processor when the first says no
  • Attempt caps per card, issuer, and window
  • Split-tested routing changes before they go to all traffic

What you get

  • Fewer declines on stored cards, because credentials stay current
  • Recovered revenue from soft declines that would otherwise be lost
  • Less involuntary churn on subscriptions, which is the quietest leak in recurring billing
  • Retry costs that stay in proportion to what they recover
  • Evidence for every change, measured on your own traffic

Prove it, then tune it.

Every claim on this page should be visible in your own data, by processor, market, card type, and issuer. Routing changes can be split-tested before they are applied to all traffic.

01Approval rate by route

Compare processors on the same traffic, with the difference expressed in approved volume rather than percentage points alone.

02Split-test routes

Send a share of traffic down an alternative route, measure, then promote the winner. No code change and no engineering cycle.

03Recovery reporting

What retries recovered, what they cost, and which decline codes are worth pursuing for your book.

Lift approvals on the traffic you already have.

Most of the gain is in payments you are already sending. Start by measuring where they fail.