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Coginiti Target Audience
User Segments
Age: 28
Gender: Female
Occupation: Data Analyst
Education: Master's Degree in Data Science
Age: 32
Gender: Male
Occupation: SQL Developer
Education: Bachelor's Degree in Computer Science
Age: 26
Gender: Female
Occupation: Business Intelligence Analyst
Education: Bachelor's Degree in Business Analytics
Aisha Khan
Age: 28
Gender: Female
Occupation: Data Analyst
Education: Master's Degree in Data Science
Industry: Financial Services
Channels: LinkedInRedditYouTube
Goals
- Efficiently query and analyze large datasets across various platforms
- Automate repetitive SQL tasks and streamline workflow using AI assistance
- Collaborate seamlessly with team members on shared SQL projects and codebases.
Pain Points
- Dealing with slow query performance and inefficient data retrieval
- Lack of integrated tools for managing and versioning SQL code
- Difficulty in collaborating on data projects and sharing insights with colleagues.
Coginiti Geographic Distribution
Primarily focused on North America, especially the US, with growing presence in Europe and Asia, serving global data operations.
Top Countries
United States
50%
Canada
10%
United Kingdom
7%
Germany
5%
India
4%
Age Distribution
Key Insights
Primary age group concentration shows strong presence in:
31-35
Most active age range
Target Audience Socio-economic Profile
Users tend to be in 2-4 person households with high income levels, indicating established professionals.
Employment Status
Income Distribution
Education Level
Coginiti Behavior Analysis
Behavior Profile
Professional Networking
Continuous Learning
Problem-solving
Technology Trends
Data Science Conferences
Software Development
Industry News
LinkedIn Usage
YouTube for Learning
Desktop Productivity
Collaborative Tools Adoption
Seeking Efficiency
AI Assistant Utilization
Code Versioning
Active Analytics Catalog Usage
Query Optimization
Data Analysis
Experimentation
Team Collaboration
Self-Service Analytics
Device Breakdown
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