Connect every purchase to the right reward
Spade standardizes, verifies, and enriches transaction data to eliminate attribution errors and power scalable, compliant programs.
- Accurate attribution
- Personalized offers
- Fewer customer complaints
- Lower support costs
- Accurate attribution
- Personalized offers
- Fewer customer complaints
- Lower support costs




Bad merchant data means bad attribution — frustrated customers, rising support costs, and outdated methods that limit how fast your program can grow.
Spade links every transaction to a verified merchant and location, giving rewards teams the confidence to run accurate, scalable programs that drive real loyalty.
Eliminate attribution errors
Connect every transaction to the right merchant, even when identifiers overlap or processors vary, with verified enrichment.
Scale your network faster
Onboard and manage new merchant partners effortlessly, without the operational overhead of manual mapping or maintenance.
Automate attribution your way
Use Spade’s enriched data directly or let us handle everything end-to-end with our Attribution Agent, from validation to reporting.
Personalize and prove performance
Build tailored rewards that reflect real spending habits, and measure impact by merchant, category, or geography.
Whether you’re building your own attribution workflows or activating Spade’s Attribution Agent, the result is the same: better data, faster attribution and smarter rewards.
Faster, clearer data. Fully under your control.
Full attribution automation. Zero manual maintenance.
Faster, clearer data. Fully under your control.
Send transaction data
Connect your transaction stream to Spade’s enrichment API.
Receive enriched data
Every transaction is matched to a verified merchant, category, and location in under 50 milliseconds.
Build your own attribution logic
Your team maps enriched transactions to your partner database or internal offers.
Manage updates manually
As new merchants or partners are added, your system maintains the mapping logic.








