Emotion AI interface showing various emotional metrics

Meet Advanced
Emotion AI

Enlighty's emotion detection engine analyzes digital consumer data to identify and quantify 17 distinct emotional states: desire, disgust, anxiety, fear, gratitude, happiness, anger, approval, disapproval, regret, surprise, love, hope, despair, shame, neutral and sadness.

Each emotion is measured continuously across consumer data, providing granular emotional intelligence that goes far beyond basic sentiment analysis.

17-Emotion Classification

Understand which emotions drive your audience and tailor messaging accordingly. Different emotions require different strategies.

Engagement metrics with emotional depth

Multi-dimensional emotional state tracking per consumer segment

Emotion scoring across all data sources

Emotion Prediction

Enlighty foresees what will make your audience react so you can act fast with targeting that feels instinctive.

  • Emotion-to-action correlation modeling
  • Predictive indicators for engagement, conversion, and churn
  • Emotional pattern recognition across time series data
Emotion prediction interface

Emotion-Based Segmentation

Create consumers that mirror emotional negativity with product categories, helping build demographics that targeting for emotional personas

  • Segment audiences by dominant emotions
  • Track emotional shifts within specific consumer groups
  • Create emotion-targeted marketing strategies
Emotion-based segmentation interface

Campaign Impact Measurement

Track how your marketing efforts shift emotional responses over time, connecting actions to real consumer impact

  • Pre/post campaign emotional state analysis
  • Emotion shift tracking across marketing touchpoints
  • ROI correlation with emotional response patterns
Campaign impact measurement dashboard

Turn Consumer Intelligence Into
Market Leadership.

Combine emotion detection, root cause analysis, and predictive forecasting to understand what moves your audience—and act on what's coming next.

17-emotion detection
Root cause analysis
Predictive forecasting