For digital goods

Digital-goods marketplaces: near-zero marginal cost, non-zero leakage

Digital marketplaces fulfil instantly and refund nearly as fast. The buyer-experience win creates a mechanical hazard: refunds firing seconds after transfers landed leave zero window for conventional recovery, and creator-side payouts mean stranded funds belong to people churning off platforms regularly. Low marginal cost does not immunise margins — it just makes the per-incident numbers smaller and the incident counts larger.

Instant-refund UX compresses the window

Self-serve refund buttons fire charge.refunded moments after transfer created. Any recovery posture relying on humans-between-events is structurally absent here; only event-driven detection operates on relevant timescales. The consolation: digital refund volumes are predictable enough to forecast exposure accurately once measured.

Launch-week remorse waves

Product launches drive buying spurts followed by regret clusters — refund waves hitting thousands of transfers within days. Wave modelling beats averages here: exposure concentrates into specific weeks, and recovery triage should concentrate identically rather than smoothing across months.

License disputes and evidence asymmetry

Chargebacks on digital goods suffer weak evidence both directions: buyers claim non-delivery of things delivered instantly; sellers lack physical proof entirely. Win rates hover low, which raises the value of the post-loss clawback path relative to representation.

Creator churn makes post-payout permanent

Creators leave platforms constantly; negative balances left behind become uncollectible the day they stop logging in. Payout-schedule policy (holding transfers slightly longer) trades creator satisfaction for recovery optionality — a lever FG-20 covers properly and every digital marketplace should decide consciously.

Monthly exposure, modelled: 8,000 sales · $22 · 12% fee
Sales volume
$176,000
Refund incidence (6%)
480 sales
Creator-side at risk
~$9.3k
Typical stranding band
$190–750/mo

What FeeGuard does about it

Event-driven detection matches instant-fulfilment cadence by construction; findings carry creator, product and launch-window context; and the free scanner turns a launch month’s export into a dollar figure fast enough to inform next launch’s policy decisions.

Common questions

Can we delay transfers to protect recoverability?

Yes — payout scheduling is a legitimate lever. Trade creator satisfaction against optionality consciously; even 48 hours changes recovery math materially.

Do we even have transfers?

Check charges for transfer_data[destination]. Its presence means Connect rails and everything on this page applies.