Real-Time Subscription Analytics Platform Development

Medium Priority
Data Engineering
Subscription Economy
👁️7382 views
💬509 quotes
$15k - $50k
Timeline: 6-10 weeks

A scale-up in the Subscription Economy is seeking to develop a real-time analytics platform to optimize customer engagement and retention. Utilizing cutting-edge technologies like Apache Kafka and Spark, the project aims to provide actionable insights into subscriber behavior and preferences, enabling the company to enhance its product offerings and improve customer satisfaction.

📋Project Details

As a forward-thinking company in the Subscription Economy, we recognize the critical need to harness data for effective decision-making. We aim to develop a real-time analytics platform that captures, processes, and analyzes subscriber data to provide immediate insights into customer behaviors and preferences. This project will leverage tools such as Apache Kafka for event streaming, Apache Spark for large-scale data processing, and Airflow for orchestrating complex data workflows. The platform will integrate with Snowflake and BigQuery for scalable data storage and query execution. Additionally, we will employ dbt for data transformation and build a machine learning model pipeline using Databricks to predict customer churn and recommend personalized content. The successful implementation of this project will allow us to proactively address customer needs, optimize engagement strategies, and ultimately drive retention and growth. We are looking for experienced data engineers to design and implement this robust platform over a 6-10 week period.

Requirements

  • Proven experience in designing and implementing real-time analytics platforms
  • Strong knowledge of event streaming and data processing technologies
  • Expertise in data modeling and ETL processes
  • Ability to collaborate with cross-functional teams to define data needs
  • Proficiency in using cloud-based data warehouses like Snowflake and BigQuery

🛠️Skills Required

Apache Kafka
Apache Spark
Airflow
Snowflake
Databricks

📊Business Analysis

🎯Target Audience

Subscription-based businesses seeking to enhance customer engagement and retention through data-driven insights.

⚠️Problem Statement

Our company lacks the ability to efficiently process and analyze subscriber data in real-time, limiting our ability to understand and respond to customer needs promptly.

💰Payment Readiness

The market is ready to pay for solutions that offer a competitive advantage through enhanced customer insights and retention, driven by the need for personalized services.

🚨Consequences

Failing to solve this problem could result in lost revenue due to subscriber churn, reduced competitive edge, and missed opportunities to enhance customer satisfaction.

🔍Market Alternatives

Currently, companies may rely on traditional batch processing analytics, which does not provide the immediacy required for timely decision-making in the fast-paced subscription industry.

Unique Selling Proposition

Our platform will provide real-time analytics and predictive insights, differentiating us from competitors who only offer periodic data processing solutions.

📈Customer Acquisition Strategy

Our go-to-market strategy involves targeting subscription-based enterprises through digital marketing campaigns, partnerships with industry influencers, and direct outreach to decision-makers in potential client companies.

Project Stats

Posted:August 5, 2025
Budget:$15,000 - $50,000
Timeline:6-10 weeks
Priority:Medium Priority
👁️Views:7382
💬Quotes:509

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