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Women in Voice

Women in Voice (WiV) is a global non-profit organization dedicated to celebrating, amplifying, and connecting women and individuals of minority genders in the voice technology and conversational AI industry. They provide resources, mentorship programs, events, and a supportive community to empower women in this growing field. WiV also advocates for diversity and inclusion in tech, aiming to create a more equitable and representative industry.

Company : Women in Voice

Industry : Voice TechnologyArtificial IntelligenceConversational AI

Major Markets

United States flagUnited States
India flagIndia
United Kingdom flagUnited Kingdom

Key Competitors

Women in AI
RE•WORK
AI4ALL

Women in Voice Key Value propositions

Community
Mentorship
Career Advancement
Diversity & Inclusion

Women in Voice SWOT Analysis

Strengths

Strong global community and networkNiche focus on women in voice techProvides valuable resources and support

Weaknesses

Reliance on volunteer-driven effortsPotential lack of funding compared to for-profit companiesLimited brand awareness outside of the voice tech niche

Opportunities

Expand partnerships with tech companiesDevelop more scalable online programsIncrease global reach, especially in emerging tech hubs

Threats

Competition from other women in tech organizationsLack of engagement from men in the industryEconomic downturn impacting funding and job opportunities

Top Marketing Strategies for Women in Voice

Personalized User Onboarding

This strategy helps new members feel welcomed and engaged. It provides a tailored experience that guides them through key features, resources, and community connections, increasing member retention and participation.

Leveraged Reciprocity

This involves offering valuable content, resources, or mentorship in exchange for engagement or participation. This strategy builds trust, strengthens relationships, and encourages active involvement within the WiV community.

Dedicated User Community

This creates a space for women and non-binary individuals in voice tech to connect, share knowledge, and support each other. It fosters a sense of belonging and empowers members to achieve their career goals within a supportive and inclusive environment.

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Women in Voice User Persona

Women in Voice Geographic and Demographic Insights

Geographic Insights: North America dominates with a significant user base in the US and Canada. India also holds a strong presence, indicating a growing tech scene.

Top Countries

  • United States flag

    United States

    35%

  • India flag

    India

    15%

  • United Kingdom flag

    United Kingdom

    10%

  • Canada flag

    Canada

    8%

  • Germany flag

    Germany

    7%

Demographic Insights: Women in Voice primarily targets females aged 25-34 who are likely establishing their careers in tech.

Age Distribution

Gender Distribution

Women in Voice Socio-economic Profile

Household and Income Insights: Users commonly belong to households of 2-4 people with medium income levels, reflecting young professionals and families.

Educational and Employment Insights: The majority of target users are highly educated with University/College degrees, primarily employed full-time in the industry.

Households Size

Income Distribution

Education Level

Employment Status

Women in Voice Behavioral Insights

Interest-Based Insights: Users show a strong interest in AI, voice tech, data science, and are passionate about diversity and inclusion within the tech industry.

Technology and Social Media Usage: Users are highly active on LinkedIn and Youtube, prefer a mix of Desktop and Mobile devices, indicating tech-savviness.

Interests

Artificial IntelligenceTechnology PodcastsData ScienceWomen in TechMachine LearningVoice AssistantsDiversity and Inclusion

Device Breakdown

Social Media Usage

Women in Voice Top Competitors

Competitor
Estimated market share
Top domains
Women in AI25%Artificial Intelligence, Data Science, Machine Learning
RE•WORK15%AI Events, Women in Tech, AI Community
AI4ALL10%AI Education, Diversity & Inclusion, Youth in AI

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