Why Users Abandon Crypto Purchases in Your App

The earliest abandonment happens before the user has done anything you'd call "buying." They opened the flow, and the flow just doesn't work for them. Three separate mismatches live here, and all three stay invisible until the user has already invested effort.

Crypto availability is country-dependent, and not as a formality. Whether a given fiat currency or crypto-network pair is even offered depends on the user's country, which you can check against per-currency flags and a restricted-countries list before opening the widget.

Without that check up front, a user in a restricted market can reach the widget before finding out the pairing isn't available to them.

Filter before they see the flow, not after. Cross-reference their location against what's on offer, and if the pairing is unavailable, say so at the entry point.

The difference is in when they find out. A user told this upfront leaves with a clear answer. One who discovers it three screens deep leaves frustrated, having learned your app doesn't work for them.

The trap in payment methods is that coverage looks uniform in your settings panel and is anything but uniform for the user. "We support cards and mobile pay" reads like a blanket promise.

In practice each method covers a different slice of the world, and a user whose currency sits outside that slice can be left without a payment method that covers them. They get a method that visibly won't take their money, which makes your app look broken.

A few examples show how uneven the coverage gets, and that unevenness is what a user runs into:

These are examples, not a full list, and the specifics change. The point is the pattern: coverage varies sharply by method and country, so check the live payment methods page for what applies to your users.

Coverage also moves. Mercuryo marks certain methods as temporarily unavailable, so an option offered one day can be offline the next.

Ordinary online checkouts leak the same way. In Baymard Institute's study of US online shoppers, 11% had abandoned a checkout in the previous three months because the site did not offer their preferred payment method.

That happens in plain e-commerce, a setting far simpler than buying crypto; the on-ramp inherits that behavior and stacks its own friction on top.

Then there's the ceiling on how much they can buy. These caps are fixed and published in advance, and Mercuryo also exposes an endpoint to query the minimum and maximum before the user commits.

If you don't surface the ceiling, the user can only discover it by hitting it, after typing a number and committing.

The fix closes all three early leaks. Surface the constraint before the user commits to breaking it, and put the per-transaction ceiling next to the amount field.

None of these mismatches is hard to solve. They're expensive only because the app reveals them late, after the user has spent effort, when a line of copy shown early would have prevented the drop-off.

A user you already know should never have to log in again inside a purchase flow. A first-time user expects to sign in, so there's no leak there.

A returning user who meets that screen is facing a barrier your integration added, not one the checkout requires, and the login often asks for identifiers the app can already pass, like email, phone, or a user ID.

Of all the leaks in the funnel, this is the one you inflict on yourself. It's friction charged to the users who already came back to buy again, at the worst possible moment, mid-purchase.

The capability to skip it already exists on the provider side. Its silent sign-in passes a token that lets the widget recognize the returning user and drop the login screen.

Whether that door is open depends on your integration: it needs the silent sign-in configured with Mercuryo, so closing this leak is mostly on your side.

Verification is the step integrations get wrong again and again, and where a failure is hardest to catch. KYC, the identity check that confirms a buyer is who they say they are, doesn't fire on every purchase.

It triggers on a few conditions: the amount crosses a threshold, the user's country mandates it, or the payment method demands it.

Because those conditions vary from one user to the next, an identical purchase can ask one person to verify and wave another through, so you can't assume where it lands.

That means many users never meet it, which is good. It also means that when it does appear, it appears mid-purchase, to someone who came to buy and is now being asked for an ID document.

That friction costs you buyers, and a technical failure underneath it costs you more.

In-widget verification needs the camera. When the widget runs inside an iframe, the embed has to grant camera access explicitly through the allow="camera" attribute, which Mercuryo marks as mandatory: without it, KYC will fail.

If the embed omits it, the camera step can't run and the user has no way to complete verification. They leave.

Mobile makes this worse, because mobile is where the buying happens. Mercuryo's own on-ramp data put roughly nine in ten purchases on mobile devices in the first half of 2026.

The hard part of verification is photographing the document, not taking the selfie, and it is exactly what your user is doing one-handed, in poor light, on a phone.

• In the Remote Identity Validation Rally, an independent evaluation at the Maryland Test Facility, tested systems extracted the selfie essentially every time.

• Document capture, by contrast, failed to extract on up to roughly 37% of attempts on the worst device-and-document pairings.

• Separate academic testing found that the check for whether a selfie is a live person and not a photo or mask had about four times as many errors in low light.

None of this makes verification optional. It means placement and embedding decide whether it's a manageable step or a point where the user gets stuck with no way forward.

Trigger it as late as the rules allow, grant the camera permission in every embed, and instrument mobile verification failures rather than leaving them undetected.

By the time a user reaches the charge, they've cleared every earlier leak. Ask someone where crypto purchases fail, and they'll point here, to the charge, and it's also where the app tells the user the least about what went wrong.

A naive integration surfaces one generic failure, while behind it sit several unrelated statuses that need different responses.

The underlying transaction statuses separate them. A naive integration collapses all of these into the same red message:

Two of these confuse users more than the rest, and each calls for a different fix.

The issuer decline. Under Visa's 2026 merchant data standards, crypto purchases must use merchant category code 6012 or 6051 as applicable, and must carry a quasi-cash transaction indicator. Banks write rules against that quasi-cash category.

Banks write rules against the whole category, so one policy line can block every crypto merchant at once, and some banks do exactly that. From the user's side, it looks like your app failed. It didn't. Their bank refused the category.

The 3D Secure step. This is the check where the bank can ask the cardholder to confirm the payment before it goes through. Mercuryo provides 3D Secure on cards, and the pending status covers the window where card verification and the 3D Secure bank check are still running.

In Forter's 2026 analysis, roughly 723,000 already-approved European transactions were sent to a 3DS challenge, and about one in six of these known-good customers failed or abandoned it. These were customers Forter had already scored as trustworthy, and the extra step still lost them.

The rate swings hard by country, which tells you the same "declined" carries different weight depending on where your user banks:

The same pattern shows up worldwide. Measuring every 3DS challenge it sees, Ravelin's 2026 data put the global challenge success rate at 76% for H1 2025, so roughly a quarter never completed.

North America ran better at 85% and Europe worse at 75%, yet every region loses buyers at this step. Even at the strongest regional rate, 15% of challenges still failed.

Keep all of these checks in place, and stop collapsing them into one message. A user who failed 3D Secure needs a different prompt than one whose bank blocked the category, who needs a different prompt again than one waiting on KYC.

An app that can tell them apart answers each correctly. One that can't gives them all the same failed result, with no path forward.

A failed payment isn't a lost buyer yet. For a few seconds after the charge breaks, the user still wants the crypto; only the transaction broke, not the intent.

In that window, the buyer has already decided and cleared every earlier step, so recovering them takes the least effort of anyone in the funnel, and without a retry-in-place path the user is sent back to the start.

At that point, the ask silently changes from "try once more" to "start the whole purchase over." Those aren't the same request. One costs a tap; the other costs the patience to re-enter the amount, the wallet, and the method, and few people have that twice in a row.

So the bank's decline starts the abandonment, but the app's response is what completes it. That leaves one narrow design question. Can a willing user retry without losing their place? Recovery means three things at that moment:

• Keep them inside the transaction, not back at the start.

• Let them switch to a method their bank will accept.

• Ask for nothing they already gave.

A retry feature like Try Again does this at the provider level: it keeps the same merchant_transaction_id across attempts and lets the user switch method, for example card to Google Pay, so the retries stay grouped under one merchant reference.

The mechanism matters less than the principle behind it. A decline is the bank's decision, but the restart is yours, and the restart is where the recoverable buyer is lost.

Put the funnel back together, and sort the fixes into two groups. That split is why the order mattered:

Fix them in that order. Prevention first, because a leak you close up front never becomes a failed payment to recover; recovery second, for the failures that reach the charge anyway.

Skip prevention, and you're recovering failures you could have avoided entirely. Lean only on prevention, and you've got no answer the day the bank says no.

The conversion shortfall you started with reads on the dashboard as one unexplained drop, but it's a series of small, ordered leaks, and the funnel just doesn't tell you at which step each user left.

Identify each step, and the split is clear: the four early leaks you prevent by design, the three payment-moment ones you recover with retry.

Those early leaks are closed at integration time, before a single user reaches the funnel.

If you're building or auditing an on-ramp, our crypto on-ramp integration checklist walks through closing these preventable leaks at the source, where they cost a line of code instead of a lost sale.

Abandonment is most likely before the payment is submitted, across availability, login, payment fit, and amount limits, and declines considerably once payment has been initiated.

It can hide several different statuses: an issuer or acquirer decline, a payment still in verification, a stalled KYC, each needing its own response.

Prevent the early leaks by surfacing each constraint up front; recover the payment-moment ones with retry-in-place and a method switch.