Société Générale

This enterprise solution enables near-real-time personalization workflows for internal financial product communication, leveraging customer data and behavioral analytics to deliver targeted campaigns at scale.

This case study describes a project-specific internal platform implemented for a regulated enterprise environment. The architecture and outcomes are presented in a generalized form and do not disclose confidential internal systems or customer data.

Challenge

The client needed a unified internal system to consolidate multiple advertising APIs and financial product pipelines. Key requirements included: • Near-real-time personalization and product targeting • Fully internal delivery (no third-party ad networks) • Designed to meet high security and regulatory requirements typical for financial institutions • Stability during heavy campaign loads • Consolidated data instead of fragmented systems The platform had to support enterprise-level processes while remaining modular enough for rapid campaign iteration.

Our Approach

We developed a modular backend platform that unified several core areas: 1 — Customer Profiles & Real-Time Scoring Integration of internal customer data, product logic, and behavior-based scoring models. 2 — Campaign & Rule Engine • Flexible segmentation • Engagement tracking • Dynamic product offer delivery 3 — API Orchestration Layer The platform acts as a unified gateway between: • CRM systems • Product and credit scoring services • Campaign management modules • Internal data APIs 4 — CI/CD & Deployment A Jenkins-driven CI/CD pipeline provided: • automated testing • secure deployment • deployments designed to minimize downtime and release-related interruptions • consistent version control and auditability 5 — Infrastructure & Scaling Kubernetes ensured: • horizontal auto-scaling • resilient microservices • stable performance under load • isolated service environments A behavioral analytics layer was added to measure engagement and feed ML models — improving ad targeting over time.

Results

• Fully automated, personalized delivery of financial product offerings
• Significantly faster campaign setup compared to previous manual and fragmented processes
• Consolidation of data from three separate systems
• Unified monitoring and reporting for conversions and performance
• Stable operation observed during periods of increased campaign traffic

Technical Stack

Why It Matters

This project strengthened our capabilities in: • Real-time personalization • Internal API orchestration • High-scale enterprise microservice architecture • Behavioral analytics and targeting logic The design principles we developed here now power many of our CRM and automation systems — giving startups and enterprises enterprise-grade intelligence combined with modern, agile engineering practices.

H-Studio collaborated with a regional enterprise team within the client organization.