This global investment bank operated with a fragmented MarTech landscape built through siloed initiatives across retail, corporate, and wealth divisions.
Overlapping tools, inconsistent data models, and the absence of a unified customer identity limited marketing productivity and slowed campaign execution. Despite strong data assets, the lack of AI-driven insights constrained personalization and reduced the return on digital investments.
Leadership recognized that customer engagement quality and growth were limited by operational complexity rather than market demand.
The bank implemented a unified, data-driven personalization platform to standardize customer engagement across business lines.
The platform integrated customer data, AI-based segmentation, automated journey orchestration, and omnichannel delivery into a single operating layer. Manual campaign execution was replaced with automated, insight-led workflows.
A test-and-learn operating model aligned marketing, analytics, and technology teams around shared KPIs and rapid iteration cycles.
Improved conversion created a 9% revenue uplift opportunity, while rationalization of redundant tools delivered $100M+ in cost-saving potential.
Campaign execution accelerated through reduced manual effort, improving both marketing productivity and engagement quality.
The platform established a scalable foundation for AI-led growth across retail, corporate, and wealth businesses.