Real-Time Analytics Platform for Audience Engagement in Podcast & Radio

High Priority
Data Engineering
Podcast Radio
👁️18976 views
💬725 quotes
$15k - $50k
Timeline: 8-12 weeks

Develop a sophisticated data engineering solution to enable real-time analytics for audience engagement in the Podcast & Radio industry. The solution will leverage cutting-edge technologies to provide deep insights into listener behavior, enabling informed decision-making and personalized content delivery.

📋Project Details

Our scale-up company in the Podcast & Radio industry is seeking an experienced data engineer to create a real-time analytics platform designed to enhance audience engagement. As we scale up, understanding our listeners' behaviors and preferences in real time becomes critical to maintaining our competitive edge. The project involves building a robust data pipeline architecture utilizing technologies such as Apache Kafka for event streaming, Spark for processing large data sets, and Airflow for orchestrating complex workflows. dbt will be used for data transformation, while Snowflake and BigQuery will serve as our data warehouses to facilitate efficient analytics. Implementing data observability and MLOps practices will ensure our data processes are reliable and scalable. The outcome of this project will empower our content teams to make data-driven decisions, personalize listener experiences, and optimize content strategies based on real-time listener feedback.

Requirements

  • Proven experience in building real-time data pipelines
  • Strong understanding of event streaming and data mesh architecture
  • Ability to implement data observability and MLOps practices
  • Experience with cloud data warehouses like Snowflake or BigQuery
  • Familiarity with podcast and radio industry analytics needs

🛠️Skills Required

Apache Kafka
Spark
Airflow
dbt
Snowflake

📊Business Analysis

🎯Target Audience

Podcast and radio content producers seeking to enhance engagement and optimize content delivery strategies.

⚠️Problem Statement

The inability to access real-time listener insights hinders our ability to personalize content and respond swiftly to audience preferences, putting us at a competitive disadvantage.

💰Payment Readiness

The market's willingness to pay is driven by the need for a competitive advantage, as real-time insights allow for dynamic content adjustments and improved listener retention, directly impacting revenue.

🚨Consequences

Failing to solve this problem could lead to lost revenue opportunities, decreased listener engagement, and a weakened competitive position in the rapidly evolving podcast and radio market.

🔍Market Alternatives

Current alternatives include delayed analytics reports and manual data processing, which do not offer the speed or precision required for actionable insights.

Unique Selling Proposition

Our platform offers real-time, actionable insights specifically tailored for the podcast and radio industry, leveraging the latest data engineering technologies to deliver unmatched performance and scalability.

📈Customer Acquisition Strategy

Our go-to-market strategy includes targeted campaigns at industry conferences, partnerships with podcast networks, and demonstrating the ROI of our solution through case studies and pilot programs.

Project Stats

Posted:July 21, 2025
Budget:$15,000 - $50,000
Timeline:8-12 weeks
Priority:High Priority
👁️Views:18976
💬Quotes:725

Interested in this project?