Increase is attempting to tighten the feedback loop between transaction processing and real-time decisioning by integrating merchant data enrichment directly into its card authorization flow. By incorporating Spade’s proprietary Merchant Graph, Increase now embeds granular merchant details—including legal names, logos, and industry categories—into card records during the authorization process. This move targets the persistent friction in digital banking where ambiguous transaction descriptors lead to increased customer disputes and inefficient fraud detection. For fintechs and vertical software platforms using Increase, this integration provides a mechanism to verify merchant identities at the moment of transaction.
Spade Merchant Graph Integration Details
The integration allows Increase card programs to access enriched records that include a merchant's name, website, phone number, and store location. This data is matched in real time against Spade’s Merchant Graph, which the company claims covers 99.9% of US and Canadian businesses. A critical technical component of this integration is the ability to link specific store locations to the parent brand and owner, even as merchant IDs (MIDs) change. This capability is designed to maintain continuity as businesses operate under different descriptors or utilize third-party payment processors like Square.
Spade’s data delivery is engineered for high-velocity environments, returning information in under 40 milliseconds with over 99% accuracy. The enrichment field is structured as an optional component, meaning the core authorization process is not dependent on the availability of the Spade data. This ensures that the integration can support enhanced visibility without introducing latency risks to the primary transaction flow.
Strategic Utility for Card Issuers
Card programs can leverage this enriched data to address three distinct operational areas: user experience, dispute mitigation, and fraud prevention. By providing clean names and logos, issuers aim to help cardholders recognize charges immediately, potentially reducing "unrecognized charge" inquiries. Furthermore, the inclusion of merchant contact information and physical addresses provides a layer of transparency intended to resolve questions before they escalate into formal disputes.
From a risk management perspective, the integration allows for more sophisticated authorization and fraud rules. Issuers can now execute logic based on specific merchant categories or geographic data, such as calculating the distance between a cardholder’s home and a merchant's location. Additionally, the consistent data set provides a foundation for building long-term analytics, AI-driven features, and personalized spending insights. This positioning suggests that Increase is moving beyond simple processing toward providing a comprehensive data layer for modern financial infrastructure.
Key Takeaways
- Increase has integrated Spade’s Merchant Graph to provide real-time merchant enrichment, including legal names, logos, and industry categories, during card authorizations.
- Spade’s dataset covers 99.9% of US and Canadian businesses and returns data in under 40 milliseconds with over 99% accuracy.
- The integration enables card programs to utilize merchant location and category data for real-time fraud rules and dispute reduction.
FinanceInsyte's Take
In our view, this integration signals a shift in the competitive landscape for banking-as-a-service (BaaS) providers, where the value proposition is moving from mere connectivity to data intelligence. By embedding Spade’s Merchant Graph into the authorization record, Increase is not just facilitating payments; it is providing the context necessary for sophisticated risk management and customer retention. For fintechs, the ability to distinguish between a coffee shop and a fine-dining restaurant—or to identify the true merchant behind a third-party processor—is a significant upgrade in data fidelity. This move effectively lowers the operational cost of disputes while providing the granular data required to power next-generation AI spend analytics.
Questions & Answers
How does the integration impact transaction latency during authorization?
The integration is designed to be non-disruptive; Spade returns data in under 40 milliseconds, and the enrichment field is optional, meaning an authorization decision is not dependent on the data being present.
What specific merchant identifiers are included in the enriched records?
Enriched records include the merchant's name, legal name, logo, website, phone number, store location, and an industry category that can be as granular as four levels deep.
How does the technology handle changing Merchant IDs (MIDs)?
The Spade Merchant Graph links store locations to the underlying brand and owner, allowing the system to recognize a business even when it appears under different descriptors due to MID changes.
Can this data be used for fraud prevention?
Yes, card programs can use the location and category data to inform authorization rules, such as measuring the distance between a cardholder's home address and the merchant's store location.
Source: Increase
