Media — Media Streaming Pricing Optimization Pipeline

Overview

The primary purpose of this DAG is to optimize pricing strategies for media streaming services, ultimately maximizing revenue and profit margins. It ingests historical sales and promotional data from ERP and CRM systems, ensuring a comprehensive view of past performance. The ingestion pipeline includes data normalization to standardize inputs for accurate analysis. The processing steps involve calculating price elasticities, which measure consumer response to price changes, and generating a simu

The primary purpose of this DAG is to optimize pricing strategies for media streaming services, ultimately maximizing revenue and profit margins. It ingests historical sales and promotional data from ERP and CRM systems, ensuring a comprehensive view of past performance. The ingestion pipeline includes data normalization to standardize inputs for accurate analysis. The processing steps involve calculating price elasticities, which measure consumer response to price changes, and generating a simulator that allows stakeholders to test various pricing strategies in a controlled environment. Quality controls are integral to the process, incorporating data validation tests and governance rules to ensure compliance and reliability of the data used. The outputs are presented through a KPI dashboard, which tracks performance metrics and alerts users to any anomalies that may require attention. By leveraging this DAG, media companies can make informed pricing decisions that align with market dynamics, ultimately driving business value through increased sales and improved customer satisfaction.

Part of the Pricing Optimization solution for the Media industry.

Use cases

• Increases revenue through optimized pricing strategies
• Enhances profit margins by understanding price sensitivity
• Improves decision-making with data-driven insights
• Facilitates agile responses to market changes
• Boosts customer satisfaction with tailored pricing models