How does

Kantar

Use AI?

Speeds up research analysis and reveals deeper trends

Project Overview

Analyzing open-ended survey responses at scale to uncover consumer insights.

Layman's Explanation

Kantar’s AI reads through piles of written survey answers and quickly figures out what people are really saying—without a human needing to read each one.

Details

Kantar uses AI to process and analyze open-text responses from surveys, applying natural language processing to identify themes, sentiments, and emerging patterns. This allows researchers to move beyond manually coding responses, enabling faster and more scalable analysis while preserving the richness of consumer feedback. By automating this step, Kantar delivers deeper, real-time insights to clients for more informed marketing strategies.

Analogy

It’s like giving your focus group a smart voice translator that instantly summarizes what everyone’s really thinking.

Machine Learning Techniques Used

  • Natural Language Processing: Analyzes open-ended survey responses for insights.
  • Sentiment Analysis: Identifies themes in survey data.
  • More Use Cases in

    Marketing & Advertising

    3

    /5

    Novelty Justification

    NLP for survey analysis is now a best practice in market research, improving speed and depth.

    Project Estimates

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