Retail — Customer Segmentation for Targeted Marketing Campaigns

Overview

The primary purpose of the retail_kmds_customer_segmentation DAG is to effectively segment customers to enable targeted marketing campaigns. This process begins with the ingestion of various data sources, including transaction logs, customer interaction data, and demographic information. The data is then processed through a series of steps that include data cleansing, feature extraction, and the application of segmentation models. The segmentation models leverage machine learning algorithms to c

The primary purpose of the retail_kmds_customer_segmentation DAG is to effectively segment customers to enable targeted marketing campaigns. This process begins with the ingestion of various data sources, including transaction logs, customer interaction data, and demographic information. The data is then processed through a series of steps that include data cleansing, feature extraction, and the application of segmentation models. The segmentation models leverage machine learning algorithms to classify customers into distinct groups based on their purchasing behavior and engagement levels. Once the segmentation is complete, the results are stored in a feature store, allowing for easy access and integration with marketing automation tools. Monitoring of key performance indicators (KPIs) such as campaign conversion rates is implemented to assess the effectiveness of the segmentation strategy. Additionally, error handling mechanisms are in place to generate reports in case of processing failures, ensuring that issues can be addressed promptly. This DAG not only streamlines the customer segmentation process but also enhances the overall effectiveness of marketing campaigns, leading to improved customer engagement and increased sales.

Part of the Customer Personalization solution for the Retail industry.

Use cases

• Increases marketing campaign effectiveness through targeted approaches
• Enhances customer engagement with personalized content
• Improves conversion rates by reaching the right audience
• Reduces marketing costs by optimizing resource allocation
• Provides actionable insights for strategic decision-making