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Development of a Performance-Based AdTech Platform with CRM Integration and Automated Campaign Optimization
  1. case
  2. Development of a Performance-Based AdTech Platform with CRM Integration and Automated Campaign Optimization

Development of a Performance-Based AdTech Platform with CRM Integration and Automated Campaign Optimization

wesoftyou.com
Advertising & marketing
Financial services

Identified Challenges in Modern Digital Advertising Platforms

The client faces complexities in managing multi-channel advertising campaigns across mobile, video, app, and social media channels. Existing processes lack automation for campaign optimization, resulting in suboptimal ROI and difficulty in managing large volumes of client data. Additionally, integrating an advanced CRM system is essential to streamline client communication and target management, while ensuring platform scalability and performance under high traffic conditions are critical issues.

About the Client

A mid-to-large scale digital advertising agency specializing in performance-based mobile, video, app, and social media advertising, seeking to enhance campaign effectiveness and client management through advanced automation and integration.

Key Goals for Enhancing Digital Advertising Operations

  • Develop a comprehensive platform enabling performance-based advertising across multiple channels, ensuring targeted and efficient ad placements.
  • Integrate a sophisticated CRM system to facilitate seamless client management, communication, and targeted marketing strategies.
  • Implement multichannel automated campaign optimization algorithms to dynamically adjust campaigns in real-time, maximizing ROI for advertisers and maintaining competitive CPM rates for publishers.
  • Ensure the platform is scalable, reliable, and capable of handling high traffic volumes with optimal performance and security.
  • Leverage insights gained from the platform to achieve market growth, increased profitability, and a competitive edge in the digital advertising industry.

Core Functionalities for the Next-Generation AdTech Platform

  • Performance-based advertising support allowing cost optimization based on predefined metrics.
  • Multichannel advertising capabilities across mobile, video, applications, and social media platforms.
  • Automated real-time campaign optimization leveraging advanced algorithms to maximize ROI and ensure competitive CPM rates.
  • Deep CRM integration for streamlined client management, segmentation, and targeted outreach.
  • Advanced audience targeting and segmentation features for precise ad placements.
  • High scalability and performance architecture to manage large-scale impression data and high user traffic.

Recommended Technologies and Architectural Approaches

Frontend: Vue.js (Nuxt.js)
Backend: Django with Django REST Framework
Programming Languages: Python, Go (for performance-critical components)

External Systems and Data Sources for Integration

  • Ad exchange and DSP integrations for real-time bid management and impression data
  • CRM systems for client and campaign management
  • Analytics and reporting tools for performance insights
  • Payment gateways for transaction processing if applicable

Critical Non-Functional System Requirements

  • Scalability: Platform must support high-volume impressions and user traffic with minimal latency
  • Performance: Real-time campaign optimization algorithms should deliver updates within milliseconds
  • Reliability: 99.9% uptime with robust error handling and failover capabilities
  • Security: Data encryption, access controls, and compliance with relevant data protection regulations
  • Maintainability: Modular architecture facilitating future feature enhancements

Anticipated Business Outcomes and Benefits

The new performance-based adtech platform is expected to significantly enhance campaign efficiency, leading to higher ROI for advertisers and competitive CPM rates for publishers. It aims to facilitate market expansion, increase revenue streams, and provide a data-driven foundation for continuous optimization and client engagement, replicating the high-impact results observed in previous successful implementations.

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