How to increase payment success rates in Singapore (2026)

Key takeaways:

• Card payment failures average 10–15% globally¹, and cross-border transactions decline more often than domestic ones, costing Singapore businesses revenue every day.

• The biggest gains come from layering improvements across checkout UX, gateway choice, routing, retries, network tokens, and monitoring.

• Airwallex Optimize 360 brings machine-learning-powered authorisation optimisation, smart retries, network tokens, and issuer-level routing into a single acquiring stack.

If you want to increase payment success rates, the problem usually isn't your checkout.

Most of the lost revenue sits in the back end. It hides in how your acquirer routes transactions, how issuers read your data, and how your system handles soft declines.

This guide covers what payment success rate means and the real reasons payments fail in Singapore. We'll also walk you through the different methods you can use to increase payment success rates.

What is payment success rate?

Payment success rate is the percentage of payments that go through. It's the clearest sign of how much revenue you're losing at checkout.

How payment success rate is calculated

To work it out, divide successful payments by total payment attempts, then multiply by 100. If 850 out of 1,000 payments go through, your payment success rate is 85%.

Note that this isn’t the same as authorisation rate. Authorisation rate only counts payments that the card-issuing bank approves. Payment success rate is wider. It includes everything that can go wrong from the moment a customer clicks "pay" — broken checkouts, slow gateways, fraud filter blocks, and card declines.

Healthy benchmarks (and what counts as "good")

For most eCommerce businesses, a healthy payment success rate is above 90%². Top direct-to-consumer brands aim for 95% on the payment gateway, with 90% of payments getting approved by the card issuer³.

Some caveats: subscription businesses with good retry logic often run higher on renewals. Travel and high-ticket eCommerce tend to run lower because of fraud filters and 3D Secure friction.

Why Singapore businesses see lower success rates than they expect

Singapore merchants face a problem most US or EU merchants don't. The local market is small, so many of your customers are in another country. That means many transactions are cross-border, which card-issuing banks treat more cautiously than domestic transactions.

Here's what that looks like in practice. When a customer's bank sees that the payment is being processed by a bank outside its own country, it checks the payment more carefully. Address and security-code checks don't always match up across borders.

Cards from DBS, OCBC, UOB, Citibank, HSBC, and Standard Chartered each have their own approval rules. Currency conversion can trip fraud filters. And time-zone gaps between your processing bank and the customer's bank can slow down the approval message — sometimes enough to time it out.

Then there's the local payment methods question. PayNow, SGQR, and FAST are great for payments inside Singapore. But they don't do anything for an Australian customer paying with a Visa card. So you need a payment setup that does both — handle local methods at home, and cross-border cards everywhere else.

Why payments fail: The real reasons behind a low success rate

Most payment problems fall into four buckets. Knowing which one is hurting you most is the first step to fixing it.

1. Issuer-side declines

The biggest cause of failed payments is the customer's bank deciding not to approve the transaction. These are called issuer-side declines, and they come in two types:

• Hard declines: These are final. The card is expired, reported lost or stolen, or doesn't have enough funds. You shouldn't retry these — the bank will just decline them again.

• Soft declines: These are temporary. The bank isn't sure about the payment, so it blocks it for now but might approve the same payment later. The most common one is "do not honor", which usually means the bank's risk model flagged something but didn't tell you what. Others include velocity limits (too many payments in a short window) and "issuer unavailable" errors.

Soft declines are where you can recover real revenue. They're also where cross-border traffic gets hit hardest. Foreign banks see a payment from a Singapore acquirer and apply stricter risk rules, so what would be approved domestically gets soft-declined instead.

2. Checkout-side drop-offs

Some payments fail before the bank ever sees them. The customer starts checkout, hits friction, and gives up.

Common causes are long forms, no guest checkout, no support for the customer's preferred payment method, prices shown in the wrong currency, and slow page loads on mobile. These don't show up as declines in your payment data because no payment was attempted. They show up as a drop in conversion.

If your checkout conversion is low but your authorisation rate looks fine, this is probably where you're losing money.

3. Gateway and infrastructure failures

Sometimes the payment never makes it through the system. The gateway times out. The acquirer is down for maintenance. A retry fires before the first response comes back, and the bank sees a duplicate payment and blocks both.

These failures are usually small in volume but painful when they happen. A 30-minute outage during a flash sale can cost more than a month of soft declines. The fix is usually about choosing a payment partner with strong uptime and clear failover routing — not something you can patch yourself.

4. Fraud filters and false declines

Fraud filters are meant to block bad payments. But poorly tuned filters block good ones too, and these are called false declines.

A customer in Sydney buying from a Singapore site can look suspicious to a fraud system trained mostly on domestic patterns. The transaction gets blocked, the customer assumes the site is broken, and they buy from a competitor instead.

Fraud filters that work well are tuned to your specific traffic — by market, by issuer, by ticket size — and updated regularly as patterns change. Generic, one-size-fits-all rules cost you more revenue than they save.

7 ways to increase payment success rates

There's no single fix for a low payment success rate. The biggest gains come from doing several of these things well at the same time:

1. Offer the local payment methods your customers actually use

The more payment methods you offer, the fewer customers you lose at checkout. But this isn't about adding every method you've heard of. It's about adding the ones your specific customers expect.

For Singapore customers, that usually means PayNow and major credit cards. For Malaysian customers, FPX and GrabPay matter. For Indonesian customers, GoPay, OVO, and bank transfers via Virtual Accounts dominate. For mainland Chinese customers, Alipay and WeChat Pay are non-negotiable.

To learn more about this, read our guide on how to reduce checkout abandonment by offering the right local payment methods.

2. Optimise the checkout for mobile, guest, and one-click

A lot of failed payments aren't failed payments at all. They're customers giving up before the payment is attempted.

The fastest wins are usually the simple ones:

• Cut the form fields to the minimum needed 

• Allow guest checkout

• Support one-click payment for returning customers

Finally, test the whole flow on a mid-range Android phone with a slow connection, not just on your laptop. If your checkout doesn't load cleanly on 4G, you're losing payments before they start.

3. Use issuer-level routing, not just multi-acquirer routing

Most payment platforms offer some form of smart routing. The basic version sends each payment through whichever acquirer is most likely to approve it. That helps, but it's not the strongest version of routing.

Issuer-level routing goes a step further. It looks at the specific bank that issued the card — not just the card network — and picks the route most likely to be approved by that bank. A DBS Visa card and a Citibank Visa card behave very differently, and a system that treats them the same is leaving money on the table.

This kind of routing needs a lot of data to work well. The bigger and more diverse your payment volume, the more accurate the routing becomes.

4. Enable network tokenisation

A network token is a replacement number for a real card number, issued directly by Visa, Mastercard, or Amex. When you use network tokens instead of raw card numbers, three things happen.

First, payments are more likely to be approved — the card networks have published higher approval rates for tokenised transactions.

Second, if a customer's card is reissued (new expiry, lost card replacement), the token keeps working without you needing to chase the new number. Third, tokenised transactions are treated as lower risk, which reduces false declines.

For subscription businesses, network tokens are one of the highest-impact changes you can make. They cut involuntary churn from card updates almost entirely.

5. Run intelligent, not time-based, retries

When a payment soft-declines, retrying it can recover the sale. But retrying badly can make things worse.

A bad retry system fires the same payment again a few minutes later. The bank sees the same transaction it just declined, declines it again, and may flag the account for too many attempts. Some banks will even charge you a fee for the failed retry.

A good retry system waits for the right moment. It picks the retry time based on the decline reason, the issuer's behaviour patterns, and the cardholder's history. For a "do not honor" decline, that might be two days later. For an "insufficient funds" decline, it might be on the day the customer typically gets paid. The smarter the timing, the higher the recovery rate.

6. Apply dynamic 3DS, not blanket 3DS

3D Secure (3DS) is the extra authentication step where a customer confirms a payment through their bank's app or a one-time code. It shifts chargeback liability away from you and is required for many transactions under Strong Customer Authentication rules.

But every 3DS challenge adds friction. Customers drop off when they're asked to authenticate, especially on mobile. So applying 3DS to every transaction costs you sales.

Dynamic 3DS is smarter. It only triggers full authentication for transactions that need it — based on risk score, value, and issuer requirements. Low-risk transactions go through without a challenge. High-risk ones get authenticated. You keep the protection without losing the conversions.

7. Monitor success rates by issuer, BIN, and market

You can't fix what you can't see. Most teams look at one number — overall payment success rate — and miss where the actual problem is.

The real signal is in the breakdown. Look at success rates by card issuer, by Bank Identification Number (BIN, the first six digits that identify the issuing bank), by country, by card network, by ticket size, and by payment method. A 4% drop in your overall rate might be a 15% drop on one specific issuer in one specific market.

Once you can see the problem at that level of detail, you can fix it.

Where to focus first, based on your business model

Not every business should start in the same place. The biggest payment leaks depend on what you sell, how you sell it, and where your customers are. Here's where to focus:

If you run a scaling eCommerce or DTC brand

Most of the revenue you're losing is at the checkout itself, before the payment even reaches the bank. And most of that loss happens on mobile, so the first thing worth doing is testing the full checkout flow on a mid-range Android phone with a slow connection.

From there, the basics tend to give you the biggest wins.

Make sure guest checkout is enabled, returning customers can pay in one click, and the local payment methods your customers expect are all there. If cross-border traffic is where your numbers look weakest, network tokenisation and dynamic 3D Secure are usually the next two changes to make.

If you're in travel or hospitality

Your numbers usually get dragged down by fraud filters and declines on high-value bookings. Travel payments often look risky to a bank — they're expensive, last-minute, cross-border, and sometimes paid by someone other than the person travelling.

Two changes help the most. First, tune your fraud rules by route and ticket size instead of running one blanket policy across all bookings. A US$3,000 hotel booking from a returning customer in Australia is a very different risk to the same booking from a first-time buyer in a market you barely sell to.

Second, make sure your retry logic is set up properly for soft declines on high-value transactions, because losing one US$3,000 booking to a clumsy retry can wipe out a week of conversion gains.

If you import or manufacture across multiple entities

For your business, the bigger payment success problem is usually on the payouts side rather than the acceptance side. When supplier payments fail, bounce, or arrive late, the damage to your revenue and supplier relationships is just as real as a declined customer payment.

The three changes that tend to make the biggest difference are:

• Holding balances in the currencies you actually pay suppliers in

• Using local payment methods where you can

• Giving your finance team one view of payment status across all your entities.

Converting currency at the moment of payment costs you more and adds more places for things to go wrong. Paying a Vietnamese supplier through a local Vietnamese dong transfer is faster and cheaper than sending an international wire.

And if your team has to log into five different bank portals to track payments, problems will slip through the cracks.

If you run a B2B SaaS business

For a subscription business, the biggest source of lost revenue is involuntary churn — paying customers whose renewal payment fails, who then never come back.

The single change with the biggest impact is network tokenisation. When a customer's card is reissued, the network token keeps working, so the renewal goes through without you having to chase them for new card details.

After that, smart retry logic is the next priority, because most failed renewals are recoverable if you retry on the right day with the right strategy.

Enterprise solutions for payment success rate optimisation

If you're processing serious volume, the changes in the section above will only get you so far without the right platform underneath.

Here’s a quick look at four different authorisation optimisation products, all of which can help you improve your authorisation rates:

1. Airwallex Optimize 360

Optimize 360 is Airwallex's authorisation optimisation product, built into its global acquiring stack. It uses machine learning to lift approval rates across four levers: authorisation logic, retries, network tokens, and routing.

The model is trained on Airwallex's cross-border payment data, so it's tuned for businesses selling across multiple currencies and markets — which is the case for many Singapore merchants.

Unlike the other three products in this section, Optimize 360 isn't a layer on top of a single-market acquirer. It's built into a payments platform that also handles multi-currency settlement, foreign exchange, and global payouts in the same stack.

The information in this table has been reviewed to be accurate as of 18 May 2026.

2. Stripe Adaptive Acceptance

Adaptive Acceptance is one of the authorisation optimisations Stripe builds into its core payments product. It uses machine learning to recapture declined transactions in real time and works alongside other Stripe features like Smart MCC, dynamic auths, Card Account Updater, and Amex Enhanced Authorisations⁴.

It runs automatically inside the Stripe stack, so there's no separate setup. The trade-off is that you have to be on Stripe's acquiring to use it, and most of the optimisation logic is opaque — you see the results, not the underlying decisions.

The information in this table has been reviewed to be accurate as of 18 May 2026.

3. Adyen RevenueAccelerate

RevenueAccelerate is Adyen's authorisation optimisation suite, built on a proprietary machine learning model that learns from platform-wide data⁵. Its main components are Smart Payment Messaging, which adapts the format of payment messages to match each issuing bank's preferences, and Intelligent Payment Routing, which picks the route most likely to be approved⁵.

It also includes an Authentication Engine that decides when 3D Secure is needed, network token support, and automated retry logic that learns the best days and times to retry declined payments⁵. RevenueAccelerate is built for businesses already on Adyen's enterprise platform and works best at significant volume.

The information in this table has been reviewed to be accurate as of 18 May 2026.

4. Checkout.com Intelligent Acceptance

Intelligent Acceptance is Checkout.com's AI optimisation engine. It applies network tokens when the card issuer supports them, formats payment requests to match issuer and scheme preferences, and routes transactions across debit, local, or global networks based on what's most likely to be approved⁶.

It also handles 3D Secure dynamically — applying the right exemptions and authentication flow for each payment⁶. To use it, you need to be on Checkout.com's acquiring services and processing a minimum of 5,000 transactions a month⁷.

The information in this table has been reviewed to be accurate as of 18 May 2026.

Why Singapore businesses choose Airwallex Optimize 360

Stripe, Adyen, and Checkout.com all lift authorisation rates well — if your traffic looks like the traffic they were built for. That's usually domestic-heavy volume, processed through a single acquirer, on a model trained mostly on US and European issuer behaviour. Most Singapore businesses don't look like that.

Optimize 360 is built around the cross-border authorisation problem itself. The model is trained on Airwallex's own APAC cross-border payment data, and the optimisation sits directly inside Airwallex's acquiring layer. Here's what that means in practice:

Machine-learning-powered authorisation optimisation

Optimize 360's model is trained on the kind of payment data most acquirers don't see much of — cross-border traffic between APAC and the rest of the world. That matters because the issuer behaviour, fraud patterns, and decline reasons in this region don't always match what a US- or Europe-trained model expects.

For a Singapore business, or the US, that translates to higher approval rates on exactly the traffic that's hardest to optimise: the cross-border card payments to issuers your acquirer doesn't see every day.

Smart retries that adapt to issuer behaviour

A bad retry strategy retries every declined payment a few minutes later and hopes for the best. Optimize 360 retries based on the specific decline reason, the issuer's behaviour patterns, and the cardholder's payment history.

For a B2B SaaS business with monthly renewals, that's the difference between recovering a failed renewal and losing the customer. For a travel business, it's the difference between recapturing a high-value booking and watching it go to a competitor.

Network tokens across major schemes

Optimize 360 applies network tokens automatically across major card schemes where the card issuer supports them. You don't need to manage the token lifecycle, chase reissued cards, or update card details when a customer's card expires.

For subscription businesses, this is one of the highest-impact changes you can make. It cuts the involuntary churn that comes from card updates almost entirely. For one-time eCommerce, it reduces false declines on returning customers, which is the kind of revenue leak most teams don't even know they have.

Issuer-level routing built into the acquiring stack

Most "smart routing" tools sit between you and your acquirers. Optimize 360 is different — the routing logic is built into Airwallex's acquiring stack, so the routing decision happens before the payment is sent for authorisation, not after.

That makes a real difference at the issuer level. A DBS Visa card, a Citibank Visa card, and a UOB Visa card all behave differently. Optimize 360 picks the route most likely to be approved by that specific issuer, not just the network. The bigger and more cross-border your volume, the more meaningful that gets.

There's also less for your team to set up. Because the optimisation is part of the acquiring stack, you don't need to integrate a separate orchestration layer, run your own A/B tests on routing, or build the tooling to monitor authorisation rates issuer by issuer. It's on by default.

Frequently asked questions (FAQs)

What is a good payment success rate?

For most eCommerce businesses, a healthy payment success rate sits above 90%². Top direct-to-consumer brands aim for 95% on the payment gateway and 90% on issuer approval³. If you're running cross-border traffic out of Singapore, anything in the high 80s on international card payments is reasonable, and pushing above 90% usually means you've already done the routing, retry, and tokenisation work.

Why is my payment success rate so low?

Most low payment success rates come from one of four places: card-issuing banks declining the payment, customers dropping off at checkout before paying, gateway or infrastructure failures, or fraud filters blocking legitimate transactions. The fastest way to find the real cause is to break down your numbers by issuer, country, and card network. A single overall rate hides where the actual leak is.

What's the difference between payment success rate and authorisation rate?

Authorisation rate only measures payments that a card-issuing bank approves. Payment success rate is wider — it counts every payment attempt that completes, including those that fail at the checkout or gateway before they reach the bank. Authorisation rate is the right metric for tuning the back end. Payment success rate is the right metric for measuring revenue captured.

Do network tokens really increase payment success rate?

Yes, in two ways. Card-issuing banks treat network-tokenised payments as lower risk, so more of them get approved on the first try. And when a customer's card is reissued — new expiry date or replacement card — the token keeps working, so subscription renewals and stored-card payments don't fail because the card details are stale.

How can I reduce cross-border payment declines from Singapore?

Cross-border declines are usually driven by issuer caution, mismatched address or security-code data, and routing through acquirers that the customer's bank doesn't see often. The biggest improvements come from issuer-level routing, network tokenisation, and a retry strategy that adapts to each issuer's behaviour. Airwallex Optimize 360 was built specifically for this problem and is trained on APAC cross-border payment data.

How long does it take to see results after making changes?

Most changes show up in your numbers within a few weeks, not months. Checkout fixes are usually visible within days. Routing and retry changes take a bit longer because the system needs enough payment volume to learn what works for which issuer. Network tokenisation results compound over time as more of your stored cards get migrated to tokens.

Sources:

1.  https://apexx.global/blog/how-to-improve-payment-success-rates/

2.  https://www.alexanderjarvis.com/what-is-payment-success-rate-in-ecommerce/

3.  https://www.snapmintbusiness.com/blogs/payment-success-rate

4.  https://stripe.com/payments/features

5.  https://www.adyen.com/en_SG/revenue-optimization

6.  https://www.checkout.com/products/intelligent-acceptance

7.  https://www.checkout.com/docs/payments/optimize-payments/intelligent-acceptance

This publication does not constitute legal, tax, or professional advice from Airwallex, nor does it substitute seeking such advice, and makes no express or implied representations / warranties / guarantees regarding content accuracy, completeness, or currency. If you would like to request an update, feel free to contact us at [[email protected]]. Airwallex (Singapore) Pte. Ltd. (201626561Z) is licensed as a Major Payment Institution and regulated by the Monetary Authority of Singapore.