
Challenge
The client needed a unified internal system to consolidate multiple advertising APIs and financial product pipelines. Key requirements included: • Real-time personalization and product targeting • Fully internal delivery (no third-party ad networks) • High security and strict compliance • 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 • zero-downtime releases • 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
- Campaign setup time reduced from several days to minutes
- Consolidation of data from three separate systems
- Unified monitoring and reporting for conversions and performance
- Stable operation during periods of high campaign traffic
Technical Stack
Backend: Java 11 · Spring
Database: Oracle
Infrastructure: Docker · Kubernetes
CI/CD: Jenkins
Duration: 12 months
Team: 5 engineers
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 at startup speed.
H-Studio worked with the regional Moscow office.
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