Research
Research-driven insights unlock consumer sentiment to power smarter decisions and market innovation.
Pennsylvania Department of Agriculture — Heptascore & Hemp Consumer Behavior
Heptaloop’s AI uncovers real-time sentiment patterns that predict purchase intent and behavior in the hemp retail market—empowering policy makers and brands with actionable, ground-truth insights.
- Examines emotional sentiment (Heptascore) and its link to hemp purchase intent.
- Finds strong correlations between positive sentiment and likelihood to buy.
- Uncovers demographic pockets with unexpectedly high positivity.
- Guides education and sentiment-based marketing to grow the category.
Heptascore & Consumer Trust in Sustainability
- Analyzes how emotion influences trust in eco-friendly claims.
- Higher Heptascores correlate with stronger trust and purchase intent.
- Highlights generational differences in validation needs.
- Optimizes sustainability messaging with sentiment intelligence.
Source Reliability Score & Financial News Credibility
- Links Source Reliability Score (SRS) to investor confidence and actions.
- Shows low SRS correlates with misinformation-driven decisions.
- Higher SRS builds market trust and investment quality.
- Recommends integrating credibility metrics into risk models.
Känsla & AI-Driven Predictive Marketing for Retail
- Uses Känsla to forecast responses to personalized messaging.
- AI strategies lift engagement and conversion rates.
- Predictive scores correlate with higher ROI and retention.
- Positions AI-backed personalization as a competitive edge.
Emotion AI & Brand Loyalty in Automotive
- Measures how emotion influences loyalty across car brands.
- Heptascore predicts perception shifts after major events.
- Negative sentiment correlates with brand switching risk.
- Enables proactive engagement to protect reputation.
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