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Talentsky Target Audience

User Segments

Age: 26

Gender: Female

Occupation: Marketing Coordinator

Education: Bachelor's Degree, Marketing

Age: 30

Gender: Male

Occupation: Software Engineer

Education: Master's Degree, Computer Science

Age: 33

Gender: Female

Occupation: Financial Analyst

Education: Bachelor's Degree, Finance

Amelia Chen

Amelia Chen

Age: 26
Gender: Female
Occupation: Marketing Coordinator
Education: Bachelor's Degree, Marketing
Industry: Marketing
Channels: LinkedInYouTubeInstagram

Goals

  • To acquire new digital marketing skills to advance into a management role within the next two years
  • To build a strong professional network with industry leaders and mentors
  • To enhance her personal brand by showcasing verifiable achievements and projects.

Pain Points

  • Struggling to find relevant and practical online courses that directly lead to career progression
  • Feeling that her current skills are not fully recognized in her organization's traditional hierarchy
  • Limited opportunities for direct, live interaction with experienced professionals in her field.

Talentsky Geographic Distribution

Talentsky's primary market is the United States, followed by Canada and the UK. This reflects a strong focus on North American and English-speaking developed markets for its innovative skill-based platform.

Top Countries

United States flag

United States

65%
Canada flag

Canada

10%
United Kingdom flag

United Kingdom

8%
Australia flag

Australia

5%
India flag

India

3%

Age Distribution

Key Insights

Primary age group concentration shows strong presence in:

31-35

Most active age range

Target Audience Socio-economic Profile

Users primarily live in 2-4 person households, with a strong leaning towards medium to high-income brackets, reflecting professionals investing in career growth.

Employment Status

Income Distribution

Education Level

Talentsky Behavior Analysis

Behavior Profile

Online Learning
Live Workshops
Skill Seeking
Mentorship
Professional Networking
Career Development
Self-Improvement
Technology Adoption
Frustration with Traditional Methods
Continuous Learning
Social Media Usage
Desktop Preference
Interactive Engagement
Proactive Approach
Content Sharing

Device Breakdown

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