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Aggie Sports Analytics Target Audience
User Segments
Age: 20
Gender: Female
Occupation: Undergraduate Student
Education: Bachelor's Degree (in progress)
Age: 21
Gender: Male
Occupation: Undergraduate Student
Education: Bachelor's Degree (in progress)
Age: 19
Gender: Female
Occupation: Undergraduate Student
Education: Bachelor's Degree (in progress)
Maya Chen
Age: 20
Gender: Female
Occupation: Undergraduate Student
Education: Bachelor's Degree (in progress)
Industry: Technology
Channels: YouTubeInstagramLinkedIn
Goals
- Gain hands-on experience in data science and machine learning for sports
- Network with industry professionals and faculty mentors
- Build a strong portfolio of real-world projects to secure a competitive tech internship.
Pain Points
- Lack of practical, real-world project opportunities in academic settings
- Difficulty finding experienced mentors in sports tech
- Balancing demanding coursework with extracurricular project commitments.
Aggie Sports Analytics Geographic Distribution
Primarily US-centric due to UC Davis base, with minimal international reach. Focus on university and local sports market.
Top Countries
United States
95%
Canada
1%
United Kingdom
0.5%
Australia
0.5%
Germany
0.5%
Age Distribution
Key Insights
Primary age group concentration shows strong presence in:
31-35
Most active age range
Target Audience Socio-economic Profile
Mix of single/small households and families, with varying income levels reflecting student and professional involvement.
Employment Status
Income Distribution
Education Level
Aggie Sports Analytics Behavior Analysis
Behavior Profile
Sports
Technology
Data Science
Machine Learning
Web Development
Hands-on Projects
Networking
Community
AI
Computer Vision
Academic Clubs
Hackathons
Coding Challenges
Journalism
LinkedIn
YouTube
Instagram
GitHub
Desktop Usage
Real-world Applications
Device Breakdown
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