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What does it do?

  • Audience Segmentation
  • Audience Insights
  • Influencer Identification
  • Competitive Analysis
  • Marketing Strategy

How is it used?

  • Access via web browser
  • analyze social data for insights.
  • 1. Access web platform
  • 2. Analyze audience
  • 3. Identify influencers
See more

Who is it good for?

  • Advertising Agencies
  • Social Media Managers
  • Marketing Professionals
  • Market Researchers
  • Brand Managers

Details & Features

  • Made By

    Audiense
  • Released On

    2011-08-27

Audiense is an AI-powered audience intelligence platform that helps marketers, agencies, and brands gain deep insights into their target audiences. By analyzing social data and applying machine learning, Audiense provides comprehensive audience segmentation, insights, and influencer identification to inform more effective marketing strategies and campaigns.

Key features:
- Social Audience Segmentation: Creates unique audience segments based on interests, affinities, and online behavior using machine learning and social data analysis
- Audience Insights: Provides detailed information on audience demographics, personality traits, content preferences, and sources of influence
- Influencer Identification: Offers advanced search capabilities to find relevant influencers based on follower count, engagement rate, and audience overlap
- Competitive Analysis: Allows users to compare their audience segments to competitors or industry baselines for benchmarking and opportunity identification
- Psychographic Profiling: Utilizes IBM Watson to generate insights on personality traits and values based on social media activity and content engagement

How it works:
1. Collect and analyze social data from platforms like Twitter and Facebook
2. Apply machine learning models to segment audiences and identify affinities
3. Generate insights on audience demographics, psychographics, and behavior
4. Identify relevant influencers based on audience overlap and engagement metrics
5. Provide comparative analysis against competitors or industry benchmarks

Integrations:
- Compatible with popular social listening and marketing platforms
- Offers API integrations for incorporation into existing marketing workflows and tools

Use of AI:
- Machine learning for audience segmentation and affinity analysis
- Network graph analysis to identify audience interconnectivity
- IBM Watson for psychographic profiling
- AI models for influencer assessment and identification

AI foundation model:
- IBM Watson (for psychographic insights)

Target users:
- Marketing teams
- Agencies
- Brands
- Market researchers

How to access:
- Web-based software platform
- Accessible through desktop or mobile browsers

  • Supported ecosystems
    Twitter, Twitter, Facebook, IBM, Facebook, Meta, Twitter
  • What does it do?
    Audience Segmentation, Audience Insights, Influencer Identification, Competitive Analysis, Marketing Strategy
  • Who is it good for?
    Advertising Agencies, Social Media Managers, Marketing Professionals, Market Researchers, Brand Managers

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