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Modernization and Scalability Enhancement for Account-Based Marketing Platform

valor-software.com

Advertising & marketing

Data Processing and Reporting Challenges

Terminus requires enhanced capabilities to process massive datasets from multiple sources, deliver structured reporting, and improve user interface intuitiveness across their ABM platform modules while maintaining scalability and performance.

About the Client

SaaS platform providing account-based engagement solutions for B2B marketing teams

Platform Modernization Goals

Implement advanced data structuring and reporting pipelines for ad campaign analytics
Modernize frontend architecture for improved maintainability and performance
Enhance scalability of cloud infrastructure for email and chat modules
Improve admin interface usability with advanced filtering and campaign management

Core System Capabilities

Ad Experiences module with real-time reporting and cross-network campaign management
Data Studio for audience targeting with 70M+ firmographic records
Measurement Studio for revenue strategy optimization
Email Experiences with dynamic campaign tools and cloud-native infrastructure
Chat Experiences with AI-powered bots and customizable playbooks

Technology Stack Requirements

Angular 11 with Nx workspace

Ruby on Rails

Amazon Athena & EKS

PostgreSQL

Go (Golang)

Elixir

React.js

Node.js

System Integration Needs

Data lake integration with Amazon Athena
PostgreSQL reporting pipeline
Go-based microservices architecture
Kubernetes cluster management (EKS)
AI-powered chatbot integration

Operational Requirements

Horizontal scalability for 100k+ concurrent users
Real-time analytics processing under 2s latency
99.99% system uptime SLA
Modular codebase with Nx monorepo structure
Automated CI/CD pipelines with 90%+ test coverage

Business Impact Projections

Enables 30% faster campaign deployment, 40% improvement in report generation speed, and 50% reduction in infrastructure costs through optimized cloud migration. Enhanced UI/UX will reduce user training time by 60% while AI-powered features increase lead conversion rates by 25%.