Lighthouse: AI-Powered Audience Intelligence Platform

  • Traditional audience analysis takes weeks and costs thousands. Lighthouse AI uses UMAP + HDBSCAN to automatically discover hidden behavioral patterns and psychographic segments in your audience’s data, delivering insights that would take human analysts months to uncover.

    ✨ Key Benefits:

    - 10x Faster: From data to personas in under 5 minutes

    - Hidden Insights: AI discovers non-obvious audience segments humans miss

    - Visual Intelligence: Interactive charts reveal patterns at a glance

    -Actionable Output: Get ready-to-use persona descriptions with behavioral drivers

  • - Market Researchers: Segment large survey datasets instantly

    - Marketing Teams: Build data-driven personas for targeting

    - Product Managers: Understand user segments for feature prioritization

    - Strategy Consultants: Deliver client insights faster

  • Step 1: Upload Your Data

    - Required Format: CSV file with survey responses

    - Must Include: Category columns (3 tiers), Question, Answer, and audience index columns

    - Sample Size: Best results with 1,000+ responses

    Step 2: Select Your Target Audience - Choose from auto-detected audience segments in your data

    - Set quality thresholds (sample size, index limits)

    Step 3: Explore Visual Insights

    - Sunburst Chart: See hierarchical topic relationships - Distribution Analysis: Understand index patterns - Filter by Category: Drill down into specific behavioral areas

    Step 4: Generate AI Personas

    - Automatic Clustering: AI groups similar behavioral patterns

    - Topic Extraction: Natural language processing identifies key themes

    - Persona Profiles: Get detailed descriptions of each segment

  • - `category_tier_1/2/3`: Hierarchical categorization of questions

    - `question`: The survey question text - `answer`: Response options

    - `index_[audience]`: Over/under-indexing vs population (100 = average)

    - `sample_[audience]`: Sample size for reliability

    - `vertical_[audience]`: Percentage metrics

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