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Girls Who Code Target Audience
User Segments
Age: 42
Gender: Female
Occupation: Software Engineer Manager
Education: Master's Degree, Computer Science
Age: 48
Gender: Male
Occupation: University Professor (Education)
Education: Master's Degree, Educational Leadership
Age: 37
Gender: Female
Occupation: Marketing Director
Education: Bachelor's Degree, Business Administration
Sarah Chen
Goals
- To ensure her daughter receives a strong foundational education in STEM, particularly computer science, to prepare her for future career opportunities
- To find effective and engaging programs that foster a genuine interest in coding and technology in her child
- To connect with other like-minded parents and educators to share resources and best practices for nurturing tech talent in young girls.
Pain Points
- Lack of accessible and high-quality STEM programs specifically designed for girls in her local area
- Difficulty in balancing her demanding career with actively seeking out and coordinating educational enrichment activities for her children
- Worry about her child falling behind in an increasingly tech-driven world if not exposed to these skills early enough.
Girls Who Code Geographic Distribution
Primarily US-focused, Girls Who Code also reaches globally, with significant presence in Canada, UK, India, and Australia, delivering programs remotely and through partnerships.
Top Countries
United States
Canada
United Kingdom
India
Australia
Age Distribution
Key Insights
Primary age group concentration shows strong presence in:
31-35
Most active age range
Target Audience Socio-economic Profile
Target users primarily come from medium to high-income households (90.0%), often with 3-4 members (50.0%), reflecting parents' ability to support extracurriculars.
Employment Status
Income Distribution
Education Level
Girls Who Code Behavior Analysis
Behavior Profile
Device Breakdown
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