The complete guide to card-not-present transactions

A card-not-present (CNP) transaction is a payment made without the card being physically presented at the time of purchase.

When a shopper buys something online or signs up for a subscription, the business has no way to inspect the card or the person holding it. It has to verify the transaction using digital signals alone.

Examples of card-not-present transactions

Common examples of CNP transactions include:

• Ecommerce checkout

• In-app payments

• Subscriptions and recurring billing

• Mail order/telephone order (MOTO)

The difference between card-not-present vs. card present transactions

A card-present (CP) transaction is one where the shopper and the card are both at the point of sale. The payment happens face-to-face, and the card is typically:

• Inserted (chip)

• Tapped (contactless)

• Swiped (magstripe, where supported)

Because the shopper and the card are present, CP transactions can use in-person payment signals like signatures and PIN codes to verify a cardholder’s identity. In some cases, businesses can even ask for a secondary proof of identity like a driver’s license or a passport.

CP transactions are generally considered safer than CNP transactions because they use a combination of digital technology and in-person discernment to make sure a transaction is legitimate. As a result, CP transactions are often less expensive to process.

When a business can’t see the card, verify a signature (where relevant), or evaluate in-person behavior, there are fewer signals to confirm the buyer is the real cardholder. That’s what makes card-not-present fraud prevention so important. 

To prevent fraud, most companies require shoppers to provide additional information during CNP payment processing. That’s why, when you shop online, you’re often asked to confirm things like:

• Your card expiration date

• Your card security code

• Cardholder address

This additional information helps prevent fraud, but it isn’t foolproof. It also can create friction during the checkout process that can slow down sales. 

CNP fraud hurts consumers, and it hurts your business. It increases the likelihood of chargebacks, which can mean lost revenue through stolen products and refunds. It’s especially dangerous because fraudsters can test stolen credentials remotely, at scale, across multiple businesses.

Because CNP transactions are riskier, they often carry higher costs when it comes to payment processing. The exact fees vary per provider, but you can expect to pay more for CNP transactions than CP transactions.

The bigger cost, though, is often conversion. The same verification steps that prevent fraud also create checkout friction, and that friction has a price. A shopper buying from their phone might not remember their card's security code, fail the check, and abandon the cart entirely.

Ultimately, the friction is worth it to prevent chargebacks and protect customers. At enterprise scale though, even small amounts of friction compound into significant lost revenue.

The line between CNP and CP payments is starting to blur. Today’s shoppers expect fully omnichannel experiences, which include:

• Buy online and pick up in-store

• Browse in-store and reorder online later

• Return an ecommerce purchase to a physical location

These cross-channel experiences are an important part of the customer experience, but they make managing CNP fraud more difficult. 

The result is a “fraud gap” that your business needs to close: 

• On one side of the gap, you need to keep the business safe by blocking risky transactions

• On the other side of the gap, you need to keep conversion rates high by reducing friction for legitimate shoppers

 At the enterprise level, your payment infrastructure plays a large role in closing this gap. Because CNP fraud depends on risk decisions and shopper recognition, having a unified system that can intelligently identify shoppers can significantly increase your conversion rates.

Here is what you should consider to reduce CNP fraud without adding friction:

Use better data to make better decisions

Effective fraud prevention depends on the quality of the signals you can evaluate at checkout. Device fingerprints, behavioral patterns, and transaction histories can distinguish a normal shopper from automated credential testing. 

That’s where unified approaches matter. When your data is connected across channels, you can:

• Recognize returning customers for CNP transactions

• Align fraud strategy with customer experience

• Reduce unnecessary friction for low-risk shoppers

• Improve reconciliation and operations for refunds and returns

Intelligent payment processors with enough data can flag unusual transactions and ask for additional verification. They can also push recognized shoppers through with minimal friction. 

Add authentication in a way that supports conversion

Authentication can reduce fraud, but it can also create drop-off if applied too broadly. The best outcomes usually come from applying authentication dynamically, based on risk. 

New technologies like AI make it possible to recognize shoppers and verify their identity, which makes it harder for fraudsters to impersonate legitimate customers. Look for a payment processor that gives you access to multiple authentication methods, and which has global compliance built in, not bolted on. 

Reduce exposure with tokenization (especially for repeat shoppers)

When you can replace sensitive payment credentials with tokens, you reduce the impact of data exposure and make repeat payments smoother.

For card payments specifically, can help improve authorization rates and reduce fraud by using network tokens instead of primary account numbers.

Tokenization can also have the added benefit of increasing checkout speeds. If your payment processor can pre-fill checkouts using secure tokens, it means your customer just needs to click “Buy Now” to complete the sale.

CNP risk management works best when it’s tied directly to payments performance, because every fraud decision also affects conversion. Instead of treating risk as a separate defense layer, think of it as a way to diagnose and improve your checkout funnel end to end.

That’s why Adyen brings revenue and risk together. Our suite uses AI trained on trillions of transactions to help increase conversion and authorization rates while reducing fraud:

• Authenticate: Ensure global compliance without adding friction. Apply the right level of security at the right moment, so trusted shoppers keep moving. 

• Protect: Strike the right balance between risk and revenue. Protect uses AI to analyze payment data and isolate real threats. 

• Optimize: Cut payment costs with intelligent routing. Optimize automatically finds the route that’s least expensive and most likely to convert. 

• Personalize: Tailor checkouts to each shopper. Offer preferred and local payment methods so they’re more likely to complete the sale. 

• Tokenize: Speed up repeat purchases with advanced tokenization. Store payment details securely so customers complete transactions faster.

Card-present (CP) and card-not-present (CNP) transactions are both essential to modern commerce, but they happen in different risk environments. The key difference is the signals available at checkout: In-store payments provide in-person verification cues, while online payments rely mainly on digital data.

For enterprise businesses, supporting both payment types is critical for growth. The goals are straightforward:

• Keep conversion rates high

• Keep authorization rates high

• Prevent fraud and chargebacks

• Keep processing costs under control

Your payment processing partner plays a huge role in helping you hit your goals. When you work with a trusted advisor, get access to unified data, and take advantage of modern technology, you can optimize your entire payments funnel and fight fraud at the same time. 

Curious how Adyen can help? Learn more about our online payment processing capabilities, or contact our team to get started.