How would you define the success of SeatGeek's event recommendation system?

Introduction

Defining the success of SeatGeek's event recommendation system is crucial for optimizing user experience and driving business growth. To approach this product success metrics problem effectively, I will follow a simple product success metric framework. I'll cover core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

SeatGeek's event recommendation system is a core feature of their ticketing platform, designed to help users discover events they're likely to enjoy. It leverages user data, preferences, and behavior to suggest relevant concerts, sports games, and other live events.

Key stakeholders include:

1. Users: Seeking personalized event recommendations
2. Event organizers: Want to reach the right audience
3. SeatGeek: Aims to increase ticket sales and user engagement

User flow:

1. User logs in or browses anonymously
2. System analyzes user data and preferences
3. Recommendations are displayed on homepage, search results, and via notifications
4. User interacts with recommendations, providing feedback for system improvement

This feature is central to SeatGeek's strategy of becoming the go-to platform for event discovery and ticket purchases. It differentiates them from competitors like Ticketmaster or StubHub by offering a more personalized, user-centric experience.

The recommendation system is in the growth stage of its product lifecycle. It's established but continually evolving to improve accuracy and user engagement.