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Development of a Advanced Identity Resolution and Audience Analytics Platform for Digital Marketing Optimization
  1. case
  2. Development of a Advanced Identity Resolution and Audience Analytics Platform for Digital Marketing Optimization

Development of a Advanced Identity Resolution and Audience Analytics Platform for Digital Marketing Optimization

intersog.com
Advertising & marketing
Media
Business services

Identifying Key Challenges in Audience Data Integration and Campaign Optimization

The client faces difficulties in connecting disparate social platform data, building holistic customer profiles while maintaining privacy, and dynamically optimizing marketing campaigns in real-time to maximize ROI. Legacy systems are outdated, slow, and lack automation, limiting the ability to adapt swiftly to market trends and consumer behaviors.

About the Client

A mid to large-sized global media and marketing enterprise seeking to enhance campaign efficiency through advanced audience profiling, real-time analytics, and personalization capabilities.

Core Goals for Enhancing Audience Insights and Campaign Performance

  • Develop a robust data integration platform connecting multiple social media and advertising platforms with a unified identity management system.
  • Implement real-time analytics and reporting to monitor campaign performance and audience engagement dynamically.
  • Enable personalized communication strategies for inbound and outbound marketing activities.
  • Automate data processing and report generation to increase efficiency and reduce manual effort.
  • Improve campaign ROI through optimized media spend allocation based on real-time insights.

Functional System Requirements for Audience Analytics and Campaign Management

  • Connectivity modules to integrate data from social platforms, advertising networks, and customer databases with a centralized identity resolution system.
  • Holistic customer profiling through identity matching and segmentation, ensuring privacy compliance.
  • Real-time media performance tracking and visualization dashboards.
  • Automated audience analysis and trend detection to identify potential buyer segments.
  • Media spend allocation algorithms to optimize marketing budgets based on performance metrics.
  • High-speed data processing pipelines capable of handling gigabyte-scale datasets daily.
  • Interactive and customizable reporting tools for campaign insights and audience metrics.
  • Personalization engine to tailor marketing communications depending on audience segment traits.

Preferred Technologies and Architectural Standards

Java-based backend frameworks (Spring Framework, Hibernate)
Big Data processing platforms (e.g., Hadoop, Spark)
RESTful API architecture (Apache CXF or similar)
Frontend technologies utilizing HTML5, CSS3, AJAX, JQuery
Database systems like PostgreSQL and MySQL

External Systems and Data Sources Integration Needs

  • Social media platforms (Facebook, Instagram, Twitter, Google) for audience engagement data
  • Advertising networks (Amazon, Google Ads, Facebook Ads) for performance metrics
  • Identity resolution services for customer profiling
  • Reporting and visualization tools for real-time dashboards

Critical Non-Functional System Requirements

  • System should support processing of and analytics on multi-terabyte datasets daily.
  • Real-time analytics with a latency of under 5 seconds for dashboard updates.
  • Scalable architecture to support growing data volume and user base.
  • High system availability with 99.9% uptime.
  • Data security and privacy compliance aligned with industry standards and regulations.

Expected Business Benefits from Implementing the Audience Analytics Platform

The new platform is expected to significantly enhance the client's ability to analyze and react to audience behaviors in real time, leading to increased campaign effectiveness, higher ROI, and improved personalization. Anticipated outcomes include faster decision-making, more efficient media spending, and a stronger position in the competitive digital marketing landscape, mirroring previous successes where campaign efficiencies improved profit margins and market responsiveness.

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