Case Study
Global Financial Services Firm Improves Marketing Program Speed by 96%
HIGHLIGHTS
96% improvement in marketing program speed
Accessed disparate data for 25 million customers
Delivered personalized and relevant customer journeys
Reduced time to complete complex queries from half a day to minutes
Company Overview
A Fortune 100 global financial services company with approximately 50,000 employees, and the world’s largest global payments network of merchants and financial services partners. Millions of customers include a large segment of business customers.
Challenges + Goals
The company’s fragmented, legacy technology introduced a latency issue that made timely extraction of current data from a 5-terabyte database difficult. Separate databases for international and specialty customers acted as a barrier to the creation of a unified customer view. The result was a limited data model that lacked the necessary speed and efficiency to deliver new segmented campaigns, offers, and multichannel customer journeys.
To ensure highly targeted and relevant engagements, the company needed new technology to streamline access to its customer data and provide contextually relevant experiences at the pace of its customers.
Winning Solution
Leveraging Redpoint, the company gained a unified view of millions of customers. Operating as the single point of operational control, the Redpoint solution allows the company to bring in third-party data, Internet of Things (IoT) data, and unstructured data through Redpoint’s support of data lake and lakehouse technology. This open garden, future-proof architecture enables on-demand customer targeting that provides for more personalized and contextualized messages.
Built-in data quality and direct data access have led to efficiency gains including a 96 percent improvement in campaign speed, and a reduction in customer data queries from hours to minutes for advanced analysis. With a single point of control of data, decisions, and interactions the company now builds personalized customer journeys at scale.
