C-Cubed

C-Cubed is a comprehensive platform designed to streamline user segmentation, campaign management, and automated marketing initiatives. This document provides an overview of the architecture and functionality of C-Cubed, which includes the Segmentation Service, Campaigns Service, and Automated Campaigns Service, all leveraging data from the Kafka queue.

Architecture

C-Cubed follows a modular and scalable architecture, consisting of the following key components:

1. Segmentation Service: Responsible for segmenting users based on predefined criteria or manual segmentation rules created from data received from the data Kafka queue.

2. Campaigns Service: Enables the creation and management of marketing campaigns targeted at specific user segments. Campaigns can offer vouchers or points for redemption based on specified criteria and segmentation rules.

3. Automated Campaigns Service: Facilitates the creation of automated marketing actions triggered by user interactions or predefined events. When users achieve certain actions, such as completing a purchase or signing up for a service, they receive vouchers or points for redemption.

4. Data Ingestion from Kafka Queue: All services within C-Cubed leverage data from the Kafka queue for segmentation, campaign targeting, and automated actions. Data received from various sources, including user interactions, demographics, and behavioral patterns, is processed and utilized to drive targeted marketing efforts.

Functionality

C-Cubed offers the following core functionality:

1. User Segmentation:

   • The Segmentation Service categorizes users into segments based on predefined criteria or manual segmentation rules derived from data received from the Kafka queue.

   • Segmentation enables precise targeting of marketing campaigns and personalized messaging tailored to specific user groups.

2. Campaign Management:

   • The Campaigns Service allows marketers to create and manage marketing campaigns targeting segmented user groups.

   • Campaigns can offer vouchers or points as incentives for user engagement, with redemption criteria defined based on segmentation rules and campaign objectives.

3. Automated Marketing Actions:

   • The Automated Campaigns Service automates marketing actions triggered by user interactions or predefined events.

   • Users receive vouchers or points for completing specific actions, such as making a purchase, referring a friend, or completing a survey, based on predefined rules and segmentation criteria.

Usage Example

To illustrate the functionality of C-Cubed, consider the following example:

1. User Segmentation:

   • The Segmentation Service analyzes data from the Kafka queue to identify user segments based on demographics, behavior, and other relevant criteria.

   • Users are categorized into segments such as "High-Spenders," "Frequent Shoppers," or "Inactive Users" based on their interaction history and profile attributes.

2. Campaign Creation:

   • Marketers use the Campaigns Service to create a targeted marketing campaign aimed at the "High-Spenders" segment.

   • The campaign offers a discount voucher for users who have made purchases exceeding a certain threshold within the past month.

3. Automated Marketing Action:

   • The Automated Campaigns Service sets up an automated action to reward users with points for referring friends to the platform.

   • Users who successfully refer friends receive bonus points that can be redeemed for rewards or discounts.