Routing

BIN intelligence

BIN intelligence provides detailed insights into card issuing banks and their geographic origins. Cardflo uses this data to inform routing decisions and identify potential fraud risks or regional payment preferences.

This intelligence enhances transaction security and optimises payment flow for high-risk and enterprise merchants, supporting informed strategic decisions.

Category
Routing
Capabilities
10
Available on
All plans
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The overview

BIN intelligence involves the systematic analysis of the first six to eight digits of a primary account number to identify the specific financial institution that issued the card.

This data point, known as the Bank Identification Number, allows merchants and payment service providers to ascertain the card brand, product type, and geographic origin of the instrument.

In the modern payments stack, this information acts as a critical signal for both risk management and transaction routing. By parsing BIN data, systems can differentiate between credit, debit, prepaid, and commercial cards while also identifying the issuing country.

This level of granularity facilitates compliance with regional frameworks such as PSD2 and helps organisations manage interchange costs by identifying domestic versus cross-border transactions.

It sits at the entry point of the authorisation flow, providing the necessary context to determine how a transaction should be cleared, settled, or challenged through security protocols like 3DS.

How it works

  1. Initial BIN Data Extraction

    When a customer enters their card details at the checkout, the system isolates the initial digits of the primary account number. These digits are compared against an updated global database containing millions of records.

    This lookup happens in real time before the authorisation request is forwarded to the acquirer.

  2. Card Attribute Identification

    The system identifies the card programme, such as Visa Infinite or Mastercard World Elite, alongside the card type.

    Distinguishing between debit and credit cards is essential for calculating potential interchange fees and ensuring compliance with local regulations regarding surcharging or payment method restrictions in specific jurisdictions.

  3. Geographic Origin Verification

    The issuing bank's country is determined to assess cross-border implications. This step is vital for applying Strong Customer Authentication under PSD2 if both the issuer and acquirer are within the European Economic Area.

    It also informs currency conversion logic and helps in identifying mismatched geographic signals.

  4. Strategic Routing Execution

    Based on the identified issuer and card brand, the payment orchestration layer selects the most appropriate merchant identification number or acquirer.

    This logic aims to minimise the risk of false declines by sending the transaction to a partner with a strong relationship with that specific issuing bank.

Why it matters

Optimisation of Interchange Costs

Interchange fees vary significantly based on the card type and its region of origin. By utilising BIN intelligence, merchants can identify high-cost corporate or international cards at the point of entry.

This data allows for more accurate financial forecasting and enables the use of domestic routing where available, which generally carries lower scheme fees compared to cross-border processing, ultimately protecting the net margin on every sale.

Reduction in False Refusals

Issuing banks often have different risk tolerances and technical requirements for authorisation. When a BIN is identified as belonging to a specific region or bank, the transaction can be formatted to meet those precise specifications.

This targeted approach reduces the likelihood of a hard decline caused by technical mismatches, ensuring that legitimate customers are not incorrectly blocked during the checkout process.

Enhanced Fraud Prevention Logic

BIN data serves as a foundation for velocity checks and risk scoring. Discrepancies between the card's country of origin and the customer's IP address or shipping location can trigger additional verification steps.

This allows for a more nuanced defence against friendly fraud and synchronised attacks without adding unnecessary friction for verified, low-risk users across the global customer base.

Use cases

Global E-commerce Expansion

Merchants entering new markets use BIN data to understand which local banks dominate the landscape. This allows them to partner with relevant domestic acquirers to increase authorisation rates for those specific local card ranges.

Subscription and Dunning Management

Recurring billing entities use BIN intelligence to identify prepaid cards which often have high churn rates. They can then adjust dunning cycles or request an alternative payment method to maintain subscription revenue.

Regulatory Compliance and SCA

Businesses operating in Europe use BIN lookups to determine if a card is subject to SCA requirements. This ensures the 3DS challenge is only triggered when legally necessary, maintaining a smoother user experience.

High-Value Goods Retailers

Retailers selling luxury items use issuer information to flag high-limit credit cards for manual review or enhanced security, reducing the risk of high-value chargebacks from stolen card details.

By the numbers

2-5%
Authorisation Rate Improvement

Industry reports often show these gains when implementing intelligent routing based on geographic BIN data to match local acquirers with local issuers.

10-20%
Interchange Cost Reduction

Typical savings observed by enterprise merchants who shift from cross-border to domestic routing by accurately identifying card origins.

>95%
Fraud Detection Accuracy

The reliability of identifying the issuing bank and country type, which serves as a foundation for broader risk assessment and velocity check logic.

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What you get with BIN intelligence

  • Identify the financial institution responsible for issuing the specific payment card.
  • Distinguish between debit, credit, prepaid, and commercial card product types.
  • Determine the issuing country to calculate accurate cross-border interchange rates.
  • Categorise cards by brand levels such as Gold, Platinum, or Infinite programmes.
  • Flag prepaid or virtual cards that may indicate higher risk for recurring payments.
  • Enable dynamic routing to local acquirers based on the card's geographic origin.
  • Optimise 3DS workflows by identifying cards exempt from specific regulatory requirements.
  • Verify if the card supports specific features like 3-D Secure or tokenisation.
  • Analyse BIN ranges to detect patterns associated with coordinated fraudulent activity.
  • Facilitate precise reporting on payment performance across different issuing bank segments.
See BIN intelligence on your acquiring stack.

A short scoping call, then a written plan for your MIDs.

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Questions about BIN intelligence

What is the difference between a 6-digit and 8-digit BIN?

The industry is currently transitioning from 6-digit to 8-digit BINs due to the shortage of available numbers caused by the growth in card issuers. An 8-digit BIN provides more granular detail, allowing for a larger number of unique identifiers.

Merchants must ensure their systems can handle this longer format to accurately identify card attributes. Failure to support 8-digit BINs can lead to incorrect routing, inaccurate fee calculations, and potential issues with regulatory compliance in regions that have already fully adopted the longer numerical standard.

How does BIN intelligence assist in reducing interchange fees?

Interchange fees are determined by card schemes and are influenced by the card's type and origin.

By identifying a card as 'domestic' through BIN intelligence, a merchant can route the transaction through a local acquirer, which typically incurs lower fees than an international or inter-regional transaction.

Furthermore, identifying corporate or premium cards through their BIN ranges helps businesses understand the true cost of acceptance for different customer segments, allowing for better negotiation with their PSP or acquirer regarding blended or interchange-plus pricing structures.

Can BIN data be used to block specific countries?

Yes, BIN intelligence is a common tool for implementing geographic restrictions. If a merchant's risk profile or licensing prevents them from doing business in certain jurisdictions, they can configure their gateway to automatically decline transactions originating from BINs assigned to those countries.

This is often used alongside IP filtering to prevent users from bypassing restrictions. It is an essential component of a robust AML and KYB strategy, ensuring that the business remains compliant with international sanctions and regional legal requirements.

Is BIN data considered sensitive under PCI-DSS?

The first six to eight digits of a card number (the BIN) are generally not considered sensitive authentication data when stored in isolation. However, PCI-DSS requirements stipulate how much of the primary account number can be displayed or stored.

While the BIN itself is a public identifier for the bank, it must be handled according to industry standards when part of a full transaction record.

Accessing BIN intelligence through a lookup service allows merchants to gain insights without necessarily storing the full, unmasked card number themselves.

How often is BIN database information updated?

BIN databases require frequent updates because new card ranges are issued and existing ones are transferred between institutions regularly. Most enterprise-grade routing systems and PSPs update their BIN tables daily or weekly.

Accuracy is critical, as outdated information can lead to incorrect routing decisions, such as treating a domestic card as an international one, which increases costs and may lead to unnecessary soft declines.

Reliable BIN intelligence providers utilise direct feeds from card schemes to maintain the highest possible data integrity.

Does BIN intelligence help with 3-D Secure 2.0 implementation?

It is fundamental to modern 3DS workflows. By identifying the issuer through the BIN, the merchant can determine if the bank supports frictionless authentication or if a challenge is mandatory.

For example, some issuers may have higher success rates with specific versions of 3DS.

Intelligence regarding the issuer’s behaviour allows the payment orchestrator to send the appropriate version of the protocol, reducing the chance of technical errors and improving the overall conversion rate for secured transactions.

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