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Scalable, Rideshare Ad Platform for a Leading Telecom Company

We developed a scalable, in-car advertisement solution that helped a leading telecommunications client to create a new monetization avenue and significantly enhance passenger experience during rideshare trips.

Client

A leading US telecommunications company providing wireless voice and data services to millions of customers.

Problem Statement

The client was failing to monetize the captive time of passengers within the rideshare ecosystem, leaving a significant potential revenue stream untapped. The core challenge was implementing a resilient, scalable platform that could deliver a highly engaging and targeted advertisement experience without impacting passenger loyalty.

Industry

Telecommunication

Automotive

Solution

Digital Experience

Product Engineering

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Quick Summary

QBurst delivered a resilient, kiosk-mode tablet application and a full-stack backend to power a new digital advertising ecosystem in rideshare vehicles.

  • New Revenue Stream: Created a direct, scalable revenue stream for ridesharing companies and drivers by monetizing in-car idle time.
  • Enhanced Engagement: Increased customer satisfaction and engagement through real-time interactive games, trivia, and location-specific content.
  • Targeted Advertising: Implemented advanced data capabilities, including TensorFlow for rider detection, to deliver highly targeted and effective advertising campaigns.
  • Streamlined Operations: The internal admin dashboard provided simple content management, increasing operational efficiency for ad deployment.
     

Client

Leading telecommunications company that provides wireless voice and data services to customers in the United States.

Challenges

  • Resilience & Security: Building a scalable, resilient tablet application that operates reliably in kiosk mode across a distributed network, preventing unauthorized user access.
  • Content and Ad Management: Developing a flexible and robust admin dashboard to manage complex ad creatives, content updates, and dynamic ad set assignments.
  • Real-Time Data Extraction: Ensuring accurate, real-time tracking of user engagement (data pings) and location data for precise ad attribution and robust analytics.
  • Complex Integrations: Seamlessly integrating third-party APIs for live content (game scores, weather) and external advertising platforms (SSPs) to support monetization.
     

QBurst Solution: Android-Based Tablet Application

We delivered an in-car advertisement solution comprising a kiosk-mode Android application, a web-based internal admin dashboard, and a robust, scalable backend infrastructure. The system securely deploys ads and engaging content, while utilizing sophisticated data collection methods to provide value to advertisers.

Key aspects of the implementation:

  • Kiosk Mode Application: Developed the tablet application using Android SDK and Java, operating in secure kiosk mode (MDM integration) to ensure continuous ad playback and prevent unauthorized use.
  • Intelligent Backend: Built the backend using Django and PostgreSQL, deployed on AWS EC2 instances with autoscaling enabled for resilience and high availability across multi-zone deployment.
  • Dynamic Ad Delivery: The app retrieves driver-specific data and plays user-specific ad sets after checking for successful data fetches. Location/data pings are sent to the backend for engagement tracking.
     

Technical Highlights

  • Ad Targeting & AI: Integrated TensorFlow for advanced features such as rider detection to optimize ad delivery.
  • Data Pipeline & Analytics: Implemented ETLs to securely export engagement and location data to a Snowflake warehouse for deep analytics.
  • Resilient Architecture: Utilized Django and PostgreSQL deployed on EC2 instances with autoscaling for multi-zone resilience, monitored by Datadog and New Relic for uptime assurance.
  • Real-Time Content: Integrated with the Stats Perform API for live game scorecard integration and other third-party services for interactive games and trivia.
     

Impact: Improving Customer Satisfaction

  • Added Revenue Stream: Created a crucial new revenue stream for ridesharing partners and drivers by monetizing in-car idle time.
  • Increased Customer Engagement: Interactive games, trivia, and engaging content increased customer engagement and satisfaction, leading to higher ratings for drivers.
  • Enhanced Customer Targeting: Targeted ads based on demographics, location, and other criteria improved the effectiveness of advertising campaigns and brand awareness for advertisers by over 50%.
  • Increased Operational Efficiency: The internal admin dashboard and scalable backend streamlined operations, making it easier to manage advertisements across multiple vehicles and locations.
     

Client

Challenges

QBurst Solution

Technical Highlights

Impact

Recognized for Growth. Trusted for Impact.

Deloitte Technology Fast 50 India, Winner 2024

Deloitte Fast 50 India, Winner 2024

Dun & Bradstreet

Leading Mid-Corporates of India, 2024

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Major Contender, QE Specialist Services


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