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Tavus Target Audience

User Segments

Age: 32

Gender: Female

Occupation: Senior Software Engineer

Education: Master's Degree, Computer Science

Age: 40

Gender: Male

Occupation: Director of Product Management

Education: Master's Degree, Business Administration

Age: 35

Gender: Female

Occupation: AI Research Scientist

Education: Doctorate Degree, Artificial Intelligence

Sarah Chen

Sarah Chen

Age: 32
Gender: Female
Occupation: Senior Software Engineer
Education: Master's Degree, Computer Science
Industry: Software Development
Channels: RedditLinkedInYouTube

Goals

  • Successfully integrate cutting-edge AI features into our product to enhance user engagement and retention
  • Optimize system performance and scalability to handle increasing user loads efficiently
  • Drive innovation within my team by exploring and adopting new technologies and frameworks.

Pain Points

  • Dealing with legacy codebases that are difficult to modify or extend
  • Time spent on manual testing and debugging rather than feature development
  • Lack of clear documentation or support for new third-party APIs.

Tavus Geographic Distribution

Primarily focused on the US market, with significant presence in Canada and the UK. Expanding reach to other tech-forward countries like Germany and India.

Top Countries

United States flag

United States

55%
Canada flag

Canada

10%
United Kingdom flag

United Kingdom

8%
Germany flag

Germany

5%
India flag

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 are primarily individuals or small households with high income, indicating tech professionals or business owners.

Employment Status

Income Distribution

Education Level

Tavus Behavior Analysis

Behavior Profile

Device Breakdown

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