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STOCKS SOCCER
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Soccer Fantasy Sports Platform

Sports
Soccer
Web
API Workflow

🚀 MAU, Engagement

Next.JS
TensorFlow

Web-based soccer fantasy platform with player valuation, real-time performance analytics and engagement mechanics.

Problem

One of the key challenges for sports clubs is low fan engagement. Fans are divided into several levels of engagement:

  • Newcomers
  • Casual TV viewers
  • Stadium attendees
  • Loyalty program participants Clubs struggle because fans at the latter two levels rarely engage in referral programs or actively involve their friends.

Scope of Work

  • Creation of a fan engagement system similar to fantasy sports, incorporating a referral program for sports clubs and a white-label model to increase fan engagement beyond current levels.
  • Designed and developed a clickable prototype in Figma.
  • Developed backend and multiple versions of a pilot web application. The system itself was conceptualized as a white-label implementation of specific engagement mechanics, featuring:
  • Quizzes
  • Competitions between players
  • Onboarding processes This approach aimed to enhance fan interaction and retention through interactive and competitive elements tailored to sports club environments.
stocks_soccer project image

Insights

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