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Development of a Custom Mobile and Web Platform to Enhance Client Engagement and Data Analytics
  1. case
  2. Development of a Custom Mobile and Web Platform to Enhance Client Engagement and Data Analytics

Development of a Custom Mobile and Web Platform to Enhance Client Engagement and Data Analytics

compu-vision.me
Media

Identifying Challenges in Media Content Distribution and Audience Data Management

The client faces difficulties in effectively managing multiple content distribution channels, engaging users across platforms, and deriving actionable insights from audience data. Existing systems lack integration, real-time analytics, and personalized content delivery, hindering growth and user retention.

About the Client

A mid-sized media company aiming to optimize its digital presence and analytics capabilities to better serve its audience and monetize content.

Goals for Developing an Integrated Content and Analytics Platform

  • Build a centralized platform that consolidates content distribution across multiple channels (mobile apps, websites, social media).
  • Implement real-time analytics dashboards to track user engagement, content performance, and platform health.
  • Enable personalized user experiences through targeted content recommendations based on analytics data.
  • Improve operational efficiency and content push workflows via automation and streamlined management tools.
  • Achieve measurable increases in user engagement metrics and content monetization opportunities.

Core Functionalities for the Media Content Management and Analytics System

  • Multi-platform content management system supporting mobile app, website, and social media integrations.
  • Real-time analytics dashboard displaying user metrics, content performance, and system health indicators.
  • Personalized content recommendation engine leveraging audience analytics data.
  • Content scheduling, automation, and push notification capabilities.
  • User profile management for targeted engagement and segmentation.
  • Secure access controls and data privacy compliance features.
  • API endpoints for third-party integrations with ad platforms and CRM systems.

Technological Stack and Architecture Preferences

Cloud-based backend infrastructure (e.g., AWS, Azure, or Google Cloud).
Microservices architecture to ensure scalability and modular development.
Real-time data processing using streaming technologies (e.g., Kafka, WebSockets).
Mobile development frameworks supporting cross-platform deployment (e.g., React Native).
Analytics tools compatible with data visualization libraries (e.g., D3.js, Tableau).

External System Integration Needs

  • Social media platforms for content distribution and analytics.
  • Advertising networks for campaign performance tracking.
  • Customer relationship management (CRM) systems for audience segmentation.
  • Content management system (CMS) for media asset management.
  • Email marketing and notification services.

Critical Non-Functional System Expectations

  • System scalability to support a growing user base and content volume.
  • High availability with 99.9% uptime.
  • Data security measures aligned with privacy regulations (e.g., GDPR).
  • Response time under 2 seconds for analytics dashboards.
  • Mobile app performance optimized for smooth user interactions.

Projected Business Benefits and Outcome Metrics

The new platform is expected to significantly increase user engagement by providing real-time insights and personalized experiences, leading to an estimated 25% boost in content consumption. Operational efficiency improvements and automation are projected to reduce content distribution and data analysis workload by 30%, supporting scalable growth and monetization strategies.

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