Doubling Direct Mail Revenue Using Predictive Analytics in Banking

Case studies

WMS

Doubling Direct Mail Revenue Using Predictive Analytics in Banking

Case study showing how POCKET CARD Co. used SAP InfiniteInsight to build predictive models from millions of customer records, doubling direct mail revenue and lifting conversion rates up to 400%.

Published

June 4, 2026

Read time

3 min read

Source

SAP

POCKET CARD Co., Ltd., a Japanese financial services provider, deployed SAP InfiniteInsight to analyze credit card statements, loans, and repayment history. Analysts created predictive models within hours to segment customers for cash advance, revolving credit, and insurance campaigns. The shift from experience-based to data-driven targeting produced an 180% rise in telemarketing conversion, 200% revenue growth from direct mail, and 400% higher conversion on new-customer promotions.

Key takeaways

Predictive models built from millions of records in hours replaced manual list selection

Direct mail revenue doubled versus non-modeled campaigns to inactive cardholders

Telemarketing conversion for insurance services increased 180%

Cash advance and revolving credit campaigns to new customers achieved 400% higher conversion

Data-driven segmentation improved reactivation of nonactive customers and acquisition of new ones

Market overview

SCR methodology note

Vendor landscape

Leaders

Implementation considerations

Important consideration

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