- Customer expectations are rapidly changing, demanding personalized interactions.
- Rocket's mission: 'Help everyone home' drives its technology and data strategy.
- Unified data foundation on AWS enables scalable, personalized customer experiences.
- Significant outcomes include a 10% conversion lift and 20% refinance pipeline increase.
In an era where customer expectations evolve at an unprecedented pace, financial services companies face immense pressure to deliver personalized, timely, and relevant interactions. Rocket, a leading financial services provider, has successfully tackled this challenge by building a robust, unified customer data platform on Amazon Web Services (AWS), transforming its approach to conversion and customer engagement.
The traditional view of conversion as a 'mechanical problem' solvable by frictionless funnels is outdated. Today, conversion is fundamentally about context. As Sajjin from AWS highlighted, customers expect every interaction to be relevant, connected, and timely. This necessitates a shift from process optimization to deep customer understanding, which can only be achieved through a unified data strategy.
Rocket's journey began with a clear mission: 'Help everyone home.' This mission guided their technological decisions, emphasizing a simpler, faster, and more personalized customer experience. Recognizing that modern applications and fragmented data access were insufficient, Rocket established a unified data foundation. This involved shared ingestion patterns, common open table formats, and centralized governance, moving away from data fragmentation to connected customer insights, enabling personalization, AI application, and automation at scale.
The next hurdle was operationalizing this unified data. Rocket focused on building shared architectural patterns across ingestion, transformation, and consumption, eliminating one-off pipelines and isolated implementations. This approach supported diverse workloads—batch, event-driven, and streaming—ensuring data was processed once and made available for everyone. This agility proved crucial, especially during significant acquisitions like Mr. Cooper and Ruten, allowing Rocket to rapidly onboard new data, analytics, and operational demands without sacrificing speed or accuracy.
A cornerstone of this strategy is the 'Client 360' view. Far from a mere customer profile, it's a connected, end-to-end view of the customer journey, from initial engagement to servicing. By stitching together all data points and maintaining them throughout the home ownership lifecycle, Rocket's business areas gained real-time context, enabling them to offer truly personalized experiences. This foundation also paved the way for other '360' views, such as Transaction 360 and Mortgage 360, ensuring a consistent and actionable understanding of key business entities across the organization. The results speak for themselves: a 20% increase in refinance pipeline, a 10% conversion lift, and recapture rates three times the industry average, with rapid lead onboarding during acquisitions.
“Unified customer understanding is far more important than isolated AI initiatives. Why? Because AI will be fueled by that shared context of your business entities.”
