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Next-Generation Digital Marketing Platform with Advanced Analytics and Automation

tridhyatech.com

Advertising & marketing

Information technology

eCommerce

Business Challenges in Marketing Platform Operations

The client faced critical challenges including failed Matomo API integration for website analytics, inefficient contact management in broadcast modules causing delays, and a segment module bug causing infinite loops. These issues hindered data-driven decision-making and operational efficiency.

About the Client

A digital marketing firm providing performance marketing services through cutting-edge technology and analytics to help businesses grow customer bases and revenue

Strategic Project Goals

Implement seamless Matomo API integration for accurate website analytics
Optimize broadcast module contact management with batch processing
Resolve segment module indexing issues to enable efficient data segmentation
Establish a hybrid Agile-Waterfall methodology for flexible development
Create a scalable foundation for future marketing technology integrations

Core System Capabilities

Matomo API integration for real-time website data tracking and reporting
Batch processing engine for multi-channel contact list management
Segmentation module with optimized indexing logic
Facebook webhook integration for social media analytics
Centralized dashboard for cross-module performance monitoring

Technology Stack Requirements

Laravel

Vue.js

MySQL

DigitalOcean

Inertia JS

PHP

Critical System Integrations

Matomo API
Facebook Marketing API
Third-party messaging platforms

Operational Requirements

99.9% system uptime for mission-critical modules
Support for 10,000+ concurrent users during peak campaigns
Data processing latency under 200ms
Role-based access control with GDPR compliance
Auto-scaling architecture for seasonal traffic spikes

Expected Business Transformation

The solution will enable 360-degree campaign visibility through unified analytics, reduce contact management processing time by 70%, and eliminate segmentation failures. This will empower data-driven marketing strategies, improve client ROI through actionable insights, and position the platform for future AI-driven personalization capabilities.