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Development of an Advanced Customer Data Platform (CDP) for Enhanced Marketing Automation
  1. case
  2. Development of an Advanced Customer Data Platform (CDP) for Enhanced Marketing Automation

Development of an Advanced Customer Data Platform (CDP) for Enhanced Marketing Automation

https://clearcode.cc
Advertising & marketing
Information technology

Identifying Challenges in Customer Data Integration and Marketing Personalization

The client faces difficulties in managing diverse customer data sources, ensuring data portability and deduplication, and providing real-time insights to improve campaign targeting. Their existing platform lacks a cohesive, scalable architecture to support advanced marketing automation and personalized user experiences, risking inefficiency and limited campaign effectiveness.

About the Client

A mid-to-large-sized marketing services provider specializing in data-driven targeted advertising and personalized campaign management, seeking to optimize customer data integration and real-time reporting capabilities.

Goals for Building a Scalable and Intelligent Customer Data Platform

  • Define clear technical and business requirements for an advanced CDP to enable seamless data transfer, profile deduplication, and real-time analytics.
  • Create an interactive prototype to validate core functionalities and user flows.
  • Establish a robust foundation for the MVP development phase, reducing project risks and scope creep.
  • Set up a collaborative partnership framework to ensure ongoing alignment and iterative improvements.

Core Functionalities and Features of the Customer Data Platform

  • Data ingestion modules supporting data portability and transfer between components
  • User profile deduplication and unification engine
  • Real-time event tracking and analytics dashboards
  • Audience segmentation and targeting tools
  • Integration with marketing automation and campaign management systems
  • Interactive prototype illustrating component workflows
  • Story mapping and requirement prioritization for phased development

Preferred Technologies and Architectural Approaches

Component-based architecture with microservices approach
Data transfer protocols ensuring data portability
Prototyping tools for interactive mockups and user flow validation
Tech stack capable of handling real-time data processing

External System Integration Needs

  • Marketing automation platforms
  • Tag management systems
  • Customer relationship management (CRM) systems
  • Real-time analytics and reporting tools

Non-Functional Requirements for Scalability and Security

  • System scalability to support growing data volumes and user base
  • Low latency for real-time data processing and reporting
  • High data security and compliance with relevant privacy standards
  • Reliability with minimal downtime and robust error handling

Projected Business Benefits and Expected Outcomes

The implementation of the new CDP is anticipated to enhance data integration efficiency, reduce project risks, and enable real-time insights for targeted marketing. This will lead to improved campaign conversion rates and customer engagement, establishing a solid foundation for future feature expansion and automation capabilities.

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