Informes

Informes en tiempo real

La generación de informes en tiempo real proporciona acceso inmediato a sus datos de pago a medida que se producen las transacciones. Supervise los indicadores clave de rendimiento, detecte anomalías y responda rápidamente a los desafíos operativos.

Esta capacidad respalda la gestión proactiva y la toma de decisiones informadas.

Categoría
Informes
Capacidades
10
Disponible en
Todos los planes
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La visión general

Real-time reporting serves as the primary mechanism for monitoring the health of a merchant's payment infrastructure without the typical delays associated with end-of-day batch processing or T+3 settlement cycles.

Within the contemporary payments stack, this function sits between the gateway's transaction capture and the merchant's financial reconciliation software.

By accessing live data streams through an API or a dashboard, businesses can observe the immediate movement of funds and the status of authorisations as they pass through the acquirer to the issuer.

This visibility encompasses specific data points such as Merchant Category Codes (MCCs), Bank Identification Numbers (BINs), and response codes provided during the 3D Secure authentication process.

Understanding these flows in real-time allows for the identification of systemic issues, such as a regional outage at a particular PSP or a sudden spike in soft declines for specific card types, which might otherwise remain undetected until a daily report is generated.

Cómo funciona

  1. Transaction Event Capture

    As the gateway receives an authorisation request, the system logs the entry immediately. This includes technical metadata such as the terminal ID, IP address, and card-scheme specific details.

    The transmission of this data occurs in milliseconds, ensuring that the reporting database reflects the actual state of the payment funnel as it shifts.

  2. Instant Data Normalisation

    Raw data from various acquirers or alternative payment method providers is converted into a standardised format.

    This process ensures that diverse response codes from different issuers are aggregated into uniform categories, allowing for a consistent view of performance metrics across multiple merchant IDs and different geographic regions or currencies.

  3. Metric Computation and Aggregation

    The system continuously calculates key benchmarks including the gross transaction value and the current authorisation rate. By applying logic at the point of ingestion, the reporting engine updates visual representations of volume and declines.

    This allows for the immediate observation of trends without waiting for periodic report generation cycles.

  4. Threshold and Alert Triggers

    Pre-determined parameters are applied to the live data stream to monitor for deviations. If transaction failure rates exceed a specific percentage within a defined window, the system triggers a notification.

    This logic identifies anomalies such as suspected fraud attacks or technical connectivity failures between the merchant and the acquirer.

  5. Dashboard and API Delivery

    The processed information is surfaced via a secure web interface or exported through webhook notifications. This enables external systems, such as enterprise resource planning software, to ingest live payment statuses.

    Stakeholders gain access to the data immediately, allowing for rapid operational adjustments to routing or customer support protocols.

Por qué importa

Operational Resilience and Recovery

Waiting for static reports to identify technical failures can result in significant lost revenue. Real-time monitoring allows merchants to detect hardware malfunctions or gateway latency as they occur.

By identifying a sudden drop in approval rates, business operators can investigate whether an acquirer is experiencing downtime and potentially re-route traffic to a secondary provider or adjust their risk settings to mitigate further losses.

Fraud Mitigation and Risk Management

Live data feeds are essential for identifying coordinated fraud attempts, such as card testing or velocity attacks. Because reports update instantly, risk teams can notice a surge in small-value transactions or an unusual concentration of declines from a specific BIN range.

This immediate insight enables the implementation of stricter 3DS requirements or temporary blocklists to protect the merchant's reputation and minimise potential chargeback liabilities.

Liquidity and Cash Flow Management

For high-volume businesses, understanding the exact volume of authorised but unsettled transactions is vital for managing liquidity. Real-time reporting provides a clear view of the funds currently in transit across the various levels of the settlement cycle.

This clarity helps financial officers forecast cash flow more accurately and manage rolling reserves or holdbacks imposed by their processing partners.

Casos de uso

High-Volume Retail Sales

During peak events such as seasonal sales, merchants use live data to monitor checkout performance and ensure that the influx of traffic does not cause an increase in payment failures.

Subscription and Recurring Billing

Operators of subscription services monitor real-time dunning success and immediate soft declines to adjust retry logic and ensure that recurring revenue streams remain stable throughout the billing cycle.

Multi-Acquirer Payment Routing

Enterprises using several PSPs analyse live authorisation rates to compare performance, allowing them to shift volume to the acquirer currently providing the highest success rate for specific card types.

Instant Fraud Response

Security teams track live CVV and AVS failure spikes to identify a compromised checkout page or a bot attack, enabling them to alter security rules before significant volume is lost.

En cifras

<5s
Data Reporting Latency

This represents the typical industry delay for a transaction event to be reflected in a reporting interface after the authorisation has been finalised.

10-15x
Operational Response Capability

Organisations using live monitoring typically identify technical failures significantly faster than those relying solely on daily or weekly batch reporting reconciliations.

2-5%
Authorisation Rate Improvement

Industry findings suggest merchants can improve success rates by using live data to identify and resolve regional issuer issues or routing inefficiencies.

Ready to route with Informes en tiempo real?

Talk to our team about a live rollout on your acquiring stack.

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Lo que obtienes con Informes en tiempo real

  • Monitorea los volúmenes y valores de transacciones en vivo a medida que ocurren.
  • Realiza un seguimiento de las tasas de aprobación actuales en todos los MIDs y adquirentes.
  • Recibe alertas inmediatas sobre actividad de pago inusual o rechazos.
  • Visualiza puntuaciones de fraude en tiempo real y banderas de transacciones sospechosas.
  • Evalúa el impacto inmediato de nuevas promociones o campañas de marketing.
  • Ajusta las estrategias de enrutamiento de pagos basándose en datos de rendimiento en vivo.
  • Inspect granular response codes from acquirers to understand the source of payment friction.
  • Verify the immediate impact of changes to risk rules on overall conversion rates.
  • Cross-reference live data with previous daily benchmarks to detect historical performance deviations.
  • Automate notifications based on custom thresholds for decline rates and transaction value spikes.
See Informes en tiempo real on your acquiring stack.

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

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Preguntas sobre Informes en tiempo real

¿Qué tipo de alertas puedo configurar con los informes en tiempo real?

Puede configurar alertas personalizadas para varios eventos, como una caída en las tasas de aprobación por debajo de un cierto umbral, un aumento en las tasas de rechazo para un método de pago específico o volúmenes de transacciones inusuales. Esto permite una acción inmediata.

¿Cómo ayudan los datos en tiempo real en la prevención del fraude?

Los informes en tiempo real permiten la detección inmediata de patrones de transacciones sospechosas o picos repentinos en las puntuaciones de fraude. Esto permite una intervención rápida, el bloqueo de transacciones fraudulentas y el ajuste de las reglas de fraude para mitigar las pérdidas.

¿Los datos en tiempo real son accesibles a través de una API?

Sí, Cardflo proporciona acceso API a los datos de informes en tiempo real. Esto permite a los comerciantes integrar métricas de pago en vivo directamente en sus paneles internos o sistemas operativos para un monitoreo y automatización continuos.

Does real-time reporting include data for alternative payment methods?

Yes, comprehensive reporting should aggregate data from both traditional card networks and alternative payment methods (APMs) like digital wallets or bank transfers. However, the 'real-time' nature can vary.

For example, a card authorisation is nearly instantaneous, whereas certain bank redirects may require several minutes to confirm a successful payment. A unified reporting interface normalises these different timelines into a single view, providing a holistic understanding of the payment landscape.

Can I use real-time data to manage my rolling reserve requirements?

Real-time visibility into transaction volumes and dispute rates allows a merchant to forecast their reserve obligations. If a merchant understands their current risk profile and the volume of funds processed, they can better estimate the amount an acquirer will hold in a rolling reserve.

This helps in managing working capital and ensuring the business has sufficient liquidity, especially in high-risk sectors where reserve requirements are more stringent and subject to frequent adjustment.

How are soft declines handled in real-time reporting displays?

Soft declines, which often occur due to temporary issues like insufficient funds or SCA requirements, are typically categorised separately from hard declines in a live dashboard.

This allows merchants to see exactly how many transactions are eligible for an immediate retry or a second authentication attempt. Monitoring these in real-time is crucial for optimising dunning strategies and recovery of potentially lost revenue before the customer abandons the checkout process.

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