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Development of a Scalable Marketing Automation Platform with Multi-Channel Customer Journey Support
  1. case
  2. Development of a Scalable Marketing Automation Platform with Multi-Channel Customer Journey Support

Development of a Scalable Marketing Automation Platform with Multi-Channel Customer Journey Support

seven-pro.com
Advertising & marketing

Identified Challenges in Scaling a Multi-Channel Marketing Platform

The client requires an upgraded marketing automation platform capable of handling significantly increased audience volumes across multiple communication channels (email, SMS, messaging apps, push notifications). The existing system's monolithic architecture leads to performance bottlenecks, slowdowns, and difficulties in integrating new technologies, limiting scalability and operational efficiency. The client seeks to improve platform flexibility, reduce latency, and support large-scale personalized customer journeys.

About the Client

A mid to large-sized marketing technology firm providing multi-channel campaign management tools to enterprise clients, aiming to enhance platform scalability and efficiency.

Goals for Building an Advanced, Scalable Marketing Automation System

  • Upgrade the core architecture from monolithic to microservices to enhance scalability and flexibility.
  • Implement a multi-channel communication framework supporting email, SMS, messaging apps, and push notifications for unified customer journeys.
  • Improve system responsiveness and reduce operation time for end-user processes.
  • Ensure the platform can effectively manage and deliver campaigns to user bases of millions with minimal disruptions.
  • Integrate modern technologies to support future growth and technological advancements.
  • Achieve high system availability and performance consistency under increased load conditions.

Core Functionalities for a Multi-Channel Customer Engagement Platform

  • Microservices architecture to enable modular development and scalability.
  • Support for multiple communication channels (email, SMS, WhatsApp, push notifications).
  • User journey orchestration with customizable workflows for personalized campaigns.
  • Real-time data processing and analytics to track campaign performance.
  • Efficient message queueing and delivery mechanisms to handle high-volume traffic (e.g., using Apache Kafka).
  • Intuitive user interface with enhanced user flows for faster campaign setup and management.
  • Robust backend systems utilizing technologies such as Java, .NET Core, and a scalable database platform.
  • Integration APIs for third-party systems and internal data sources.

Technologies and Architecture for Scalable Marketing Platforms

Microservices architecture
Java and .NET Core for backend development
Apache Kafka for message streaming
Apache Storm for real-time data processing
Elasticsearch for search and data indexing
Microsoft SQL Server for data persistence
REST APIs for service communication
Redis for caching and fast data access

Key Integrations for Seamless Data and Communication Flows

  • Third-party messaging services for SMS, email, and chat integrations
  • Customer data platforms for personalized marketing data
  • Analytics and reporting tools
  • Existing CRM and marketing tools used internally

Performance, Scalability, and Reliability Benchmarks

  • Platform must support audience segments of millions with minimal latency.
  • System uptime and availability targeted at 99.9%.
  • Message delivery latency should be within seconds to milliseconds depending on channel.
  • Extensible architecture to facilitate future technology integrations.
  • Security measures to ensure data privacy and compliance standards.
  • Responsive backend capable of handling peak loads without performance degradation.

Projected Business Benefits from the Improved Marketing Platform

The upgraded platform is expected to significantly enhance campaign efficiency, supporting larger user bases with high reliability, and reducing message delivery times. This will enable the client to deliver personalized customer journeys at scale, increase marketing engagement, and expand revenue opportunities. The new architecture aims to improve system responsiveness, operational resilience, and scalability to accommodate continuous growth, ultimately leading to elevated customer satisfaction and competitive advantage.

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