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Big Health Target Audience

User Segments

Age: 42

Gender: Female

Occupation: VP of Human Resources

Education: Master's Degree, Human Resources Management

Age: 48

Gender: Male

Occupation: Director of Benefits

Education: Bachelor's Degree, Business Administration

Age: 37

Gender: Female

Occupation: Corporate Wellness Manager

Education: Master's Degree, Public Health

Sarah Chen

Sarah Chen

Age: 42
Gender: Female
Occupation: VP of Human Resources
Education: Master's Degree, Human Resources Management
Industry: Human Resources
Channels: LinkedInYouTubeFacebook

Goals

  • To significantly improve overall employee well-being and satisfaction by implementing effective mental health support programs
  • To strategically reduce healthcare costs for the organization by proactively addressing mental health issues
  • To enhance employee productivity and retention through comprehensive benefits packages that support holistic health.

Pain Points

  • Difficulty in proving ROI for new health initiatives to senior leadership
  • Navigating the complex landscape of mental health solutions and identifying truly effective, scalable options
  • Managing increasing employee demand for mental health support with limited internal resources and budget constraints.

Big Health Geographic Distribution

Big Health primarily targets the US and UK markets, with a strong focus on the US due to FDA clearances and CMS reimbursement, indicating a significant operational base there.

Top Countries

United States flag

United States

75%
United Kingdom flag

United Kingdom

20%
Canada flag

Canada

2%
Australia flag

Australia

1.5%
Germany flag

Germany

1.5%

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 are likely to be in medium to high-income households of 2-4 people, aligning with employer and health plan benefit recipients.

Employment Status

Income Distribution

Education Level

Big Health Behavior Analysis

Behavior Profile

Digital Health Adoption
Technology Integration
Online Engagement
Mental Health Seeking
Evidence-Based Solutions
CBT Acceptance
Mobile App Usage
Professional Networking (LinkedIn)
Informational Consumption (YouTube)
Twitter Engagement
Compliance
Treatment Adherence
User Experience
Data Privacy Concerns
Digital Literacy
Peer Influence
Trial Participation
Wellness Program Participation
Community Engagement

Device Breakdown

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