BIN reporting
Historical BIN reporting allows payment data analysts to evaluate authorisation trends across specific card portfolios. Analysts export historical acceptance rates, map decline codes against exact prefixes, and identify cost variances to optimise long-term commercial strategy.
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BIN reporting offers comprehensive analytics on transaction performance segmented by Bank Identification Number. Cardflo provides detailed reports on authorisation rates, decline reasons, and costs associated with specific BINs.
This data enables merchants to identify trends, optimise routing configurations, and negotiate better terms with acquirers.
Our BIN reporting tracks authorisation rates by card type for all connected acquirer partners, providing clear insights into performance. Merely by analysing this data, you can strategically optimise your acquiring setup and negotiate more favourable terms.
BIN reporting overview
Bank Identification Number (BIN) reporting systematically analyses the first six to eight digits of a primary account number, identifying the issuing bank, card scheme, type, and country. Within the payments stack, BIN reporting resides in the analytics and orchestration layer, offering granular visibility into payment traffic behaviour across diverse acquirers.
Segmenting transaction data by BIN enables merchants to differentiate between debit, credit, prepaid, and corporate cards, which is crucial for precise interchange cost calculation. This detailed reporting is also essential for identifying patterns in authorisation success rates, optimising payment processing flows.
BIN reporting typically integrates with a merchant's gateway or payment service provider, surfacing critical data points like decline codes and settlement times. Understanding these variables facilitates the adjustment of routing logic, enhancing transaction efficiency and success rates.
Furthermore, it allows for the implementation of retry strategies, specifically tailored to an issuer's historical performance. These strategic adjustments ultimately reduce unnecessary friction during the checkout process, improving the overall customer experience.
How BIN reporting works
Data ingestion and extraction
The system captures the BIN from the initial authorisation request. The reporting engine extracts this digit string before the card data is tokenised or encrypted for storage. This ensures the metadata remains available for longitudinal analysis. It does not compromise the security requirements central to maintaining PCI DSS compliance across the processing environment.
Enrichment via BIN tables
Raw BINs are cross-referenced against global databases to determine attributes such as issuing bank name, card product level, and geographic territory. This enrichment adds context to the raw transaction data. It allows for deeper segmentation beyond simple pass or fail results. These results are communicated by the acquirer during the authorisation phase.
Performance metrics aggregation
The platform aggregates performance indicators including authorisation rates, decline codes, and average transaction values for each specific BIN. This allows merchants to observe if certain issuers are frequently returning specific refusal reasons. These reasons include suspected fraud or insufficient funds. They may differ from the broader portfolio average.
Economic impact analysis
Cost data is mapped to the BIN level to isolate the impact of interchange and scheme fees. Corporate or premium cards often carry higher interchange rates. This step allows for an accurate assessment of the net margin. That net margin is associated with different customer segments and card products in real-time.
Why BIN reporting matters
Authorisation rate optimisation
Merchants can identify specific issuers that frequently decline transactions due to overly sensitive fraud filters or technical incompatibility with 3DS implementations. By analysing these patterns, businesses can adjust their smart routing configurations to optimise authorisation rates. They can send traffic from these BINs through acquirer partners with better technical relationships or higher historical success rates. This strategic routing may potentially recover revenue that would otherwise be lost to false positives and improve overall payment efficiency.
Interchange cost management
Precise BIN reporting offers a transparent breakdown of interchange-plus or blended pricing models, which is crucial for cost management. Different card types attract varying scheme fees and interchange rates, impacting overall processing costs significantly. Identifying a high volume of premium or commercial cards enables merchants to better predict their processing overheads. This data provides the necessary evidence to negotiate more favourable merchant service charges and optimise pricing strategies.
BIN reporting use cases
Prepaid portfolio acceptance audit
Payment data analysts compare historical authorisation rates for prepaid and debit BIN ranges, where insufficient funds and restricted-card declines can distort overall portfolio performance. Cardflo groups decline reasons by BIN and card product, then provides trend visualisation and exports for auditing acceptance across the merchant’s current setup.
Acquirer portfolio comparison
Analysts assess how the same BIN ranges performed across acquirer partners during previous reporting periods, separating portfolio effects from changes in transaction mix. Cardflo consolidates historical acceptance rates and decline codes into comparable BIN-level reports, enabling payment teams to identify persistent performance gaps within the acquirer partner network.
Digital goods BIN trend audits
Finance teams examine BIN-level transaction costs where consumer, commercial, debit and credit portfolios attract different interchange treatment and scheme fees. Cardflo combines historical cost and acceptance data by BIN, card type and reporting period, giving analysts exportable evidence for portfolio profitability reviews and acquirer statement reconciliation.
SaaS portfolio BIN analysis
Payment analysts monitor BIN performance before and after a portfolio migration, reissue programme or card product change that alters the transaction mix. Cardflo visualises historical BIN trends and exports period comparisons, helping teams distinguish sustained acceptance changes from temporary shifts in volume, decline reasons or portfolio composition.
BIN reporting by the numbers
This reflects the typical uplift observed when merchants use BIN data. They use BIN data to reroute transactions away from issuers or acquirers with documented technical incompatibilities.
An industry-standard range for savings achieved by B2B merchants who identify high-cost BINs and negotiate specific domestic acquiring rates for those segments.
This is the current ISO standard for BIN length. It provides the necessary level of detail to distinguish between different card products within the same financial institution.
Methodology: these figures are illustrative ranges drawn from published industry data and observed merchant cohorts, not guarantees. Actual results depend on your risk profile, card mix, geography and acquiring setup, and are confirmed only in your own pricing and approval terms.
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What you get with BIN reporting
- Segmentation of authorisation success rates by specific issuing bank and geographic region.
- Categorisation of card products into debit, credit, prepaid, and commercial classifications.
- Mapping of decline codes to specific BINs to identify issuer-side technical issues.
- Analysis of 3D Secure version adoption and success rates across different BIN ranges.
- Calculation of net margin by accounting for BIN-specific interchange and scheme fee costs.
- Identification of top-performing BINs to inform customer loyalty and incentive programmes.
- Longitudinal tracking of BIN performance to detect shifts in issuer risk appetites.
- Exportable reports for reconciling acquirer statements against actual transaction card types.
- Validation of BIN ranges for domestic versus international transaction processing configurations.
- Detection of high-risk BINs to inform custom routing and fraud prevention rules.
A short scoping call, then a written plan for your MIDs.
Questions about BIN reporting
How does BIN reporting help in reducing payment processing costs?
BIN reporting provides visibility into the card mix being processed, specifically identifying premium, corporate, and international cards that attract higher interchange fees under an interchange-plus pricing model.
By analysing this data, merchants can identify if they are being overcharged by their acquirer for certain card types.
Furthermore, it allows for the implementation of smart routing, where specific BINs are directed to the acquirer that offers the lowest scheme fees or most competitive domestic rates for that particular card range, effectively lowering the overall cost of acceptance.
How can BIN reporting reveal declining acceptance across card portfolios?
BIN reporting groups historical authorisation outcomes by card prefix and reporting period, allowing analysts to compare acceptance rates across portfolios. Trend visualisation can expose gradual deterioration, sudden changes or recurring patterns for particular BIN ranges, while decline-reason breakdowns provide context for the movement.
Analysts can export the underlying portfolio data for further investigation alongside transaction volumes and BIN-level costs.
Can BIN reporting identify if a card is a prepaid or virtual card?
Yes, enriched BIN data specifically flags card sub-types, including prepaid, virtual, and gift cards. This is particularly useful for merchants with recurring billing models or high-risk profiles.
Prepaid cards often have lower authorisation rates for subscription renewals because they lack a linked credit line or bank account.
By identifying these cards at the point of entry via BIN reporting, merchants can implement alternative payment strategies, such as requesting a secondary payment method or applying different risk parameters to those transactions.
How can BIN data be used to improve authorisation rates for cross-border payments?
International transactions often suffer from higher decline rates because issuers may flag foreign acquirers as high-risk. BIN reporting identifies the country of the issuing bank, allowing the merchant to see which regions are performing poorly.
With this information, the merchant can route transactions from specific country-coded BINs to a local acquirer within that same jurisdiction.
This domestic routing frequently leads to higher authorisation rates as the transaction no longer appears as a cross-border risk to the issuing bank's fraud detection systems.
What role does BIN reporting play in managing 3D Secure (3DS) performance?
Different issuers have varying levels of technical maturity regarding 3DS protocols, such as the transition from 3DS1 to 3DS2. BIN reporting allows merchants to track which issuers are currently failing 3DS challenges or causing high latency during the authentication process.
If a specific BIN range shows a high abandonment rate during the 3DS step, the merchant can investigate if there is a technical mismatch or if they should utilise specific SCA exemptions permitted under PSD2 for that issuer to improve the conversion rate.
Does BIN reporting require the storage of full Primary Account Numbers (PAN)?
No, effective BIN reporting does not require the storage of the full 16-digit card number. Because the BIN only comprises the first six to eight digits, it is considered non-sensitive data under many PCI DSS interpretations, provided the remaining digits are truncated or tokenised.
This allows merchants to gain all the analytical benefits of BIN-level insights without the increased security burden and compliance risk associated with storing full cardholder data within their internal reporting databases or analytics platforms.
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