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Big Health Target Audience
The target audience for Big Health includes individuals suffering from mental health conditions such as insomnia, anxiety, and depression. These individuals may be employees of companies, members of health plans, or adolescents struggling with mood disorders. Big Health also targets organizations like employers, health plans, and benefits consultants, who are looking to provide or recommend effective, evidence-based mental health solutions to their employees or members. The focus is on offering accessible, scalable, and affordable mental health care through digital programs like Sleepio, Daylight, and Spark Direct.
User Segments
Age: 42
Gender: Female
Occupation: Senior Wellness Manager
Education: Master's Degree, Human Resources
Age: 38
Gender: Male
Occupation: Benefits Coordinator
Education: Bachelor's Degree, Business Administration
Age: 45
Gender: Female
Occupation: Employee Wellness Director
Education: Master's Degree, Public Health
Sarah Chen
Goals
- Implement a comprehensive mental health program that reduces employee stress and burnout
- Improve employee productivity and engagement through effective mental wellness initiatives
- Reduce healthcare costs associated with mental health issues within the organization
Pain Points
- Difficulty finding scalable mental health solutions
- Struggling to measure the ROI of current wellness programs
- Facing resistance from employees to adopt new mental health initiatives
Big Health Geographic Distribution
The primary markets are the US and the UK, accounting for 75% of the user base, with secondary focus on Canada, Australia, and Germany.
Top Countries
United States
United Kingdom
Canada
Australia
Germany
Age Distribution
Key Insights
Primary age group concentration shows strong presence in:
31-35
Most active age range
Target Audience Socio-economic Profile
Most users live in households of 2-4 people with a medium income level, indicating families and individuals who can afford health benefits and solutions.
Employment Status
Income Distribution
Education Level
Big Health Behavior Analysis
Behavior Profile
Device Breakdown
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