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Limbic Target Audience

User Segments

Age: 48

Gender: Female

Occupation: Clinical Services Manager

Education: Doctorate Degree, Clinical Psychology

Age: 55

Gender: Male

Occupation: Principal Clinical Lead

Education: Master's Degree, Healthcare Administration

Age: 42

Gender: Female

Occupation: Senior Clinician / PWP Lead

Education: Professional Degree, Mental Health Nursing

Dr. Eleanor Vance

Dr. Eleanor Vance

Age: 48
Gender: Female
Occupation: Clinical Services Manager
Education: Doctorate Degree, Clinical Psychology
Industry: Mental Healthcare
Channels: LinkedInYouTubeX

Goals

  • To significantly reduce patient wait times and expand access to mental health services within the organization
  • To improve clinician satisfaction and reduce burnout by optimizing intake and assessment processes
  • To ensure the delivery of high-quality, evidence-based mental healthcare outcomes for all patients.

Pain Points

  • Struggling to manage overwhelming patient demand with limited staff and resources
  • Dealing with inefficient and time-consuming manual patient intake and triage procedures
  • Facing challenges in retaining skilled clinicians due to heavy workloads and administrative burdens.

Limbic Geographic Distribution

Limbic has a strong foothold in the UK (NHS) and a significant presence in the US, indicating a focus on established healthcare markets for its AI solutions.

Top Countries

United Kingdom flag

United Kingdom

45%
United States flag

United States

35%
Canada flag

Canada

5%
Australia flag

Australia

4%
Germany flag

Germany

3%

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 typically live in households of 2-4 and are in medium to high income brackets, reflecting professionals in healthcare management.

Employment Status

Income Distribution

Education Level

Limbic Behavior Analysis

Behavior Profile

LinkedIn
Healthcare Innovation
Digital Health Trends
Mental Health Policy
Leadership Development
Data Analytics
Clinical Research
Desktop Usage
Information Consumption
Problem Solving
Evidence-Based Solutions
Technology Adoption
Seeking Efficiency
Improving Outcomes
Operational Burden

Device Breakdown

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