Quick Overview
Ipsos deployed AI and natural language processing (NLP) to automate the analysis of thousands of free-text comments across multiple languages and cultures in large-scale international surveys. The AI detected key themes, sentiments, and brand associations, reducing manual bias and accelerating time-to-insight. This approach enabled faster, more consistent qualitative data interpretation and deeper consumer insights.
Ipsos
Company Size
Large multinational market research firm
Revenue Range
Not publicly disclosed
Primary Challenge
Accelerating qualitative survey analysis and improving consistency and insight depth
Key Metrics
\- Faster qualitative analysis\- Consistent coding and theme detection\- Reduced manual bias\- Enhanced insight depth across languages and cultures
The Problem
Manual coding of open-ended survey responses was slow, inconsistent, and prone to bias, limiting timely insights
The Solution
AI and NLP-powered automated text analysis platform processing multilingual survey responses, extracting themes and sentiments
Results
\- Significantly reduced time-to-insight\- More accurate and consistent qualitative analysis\- Deeper understanding of consumer attitudes and behaviors\- Scalable analysis across global markets
“AI helped Ipsos to drastically reduce time-to-insight while maintaining the quality and depth of qualitative analysis.”
Ipsos Research Team
Details
Industry
Marketing & Advertising
Departments
Data & Analytics
Use Cases
Market Research
Tags
GenAI
NLP
Scalability
AI Tools Used
No items found.
Sources
https://researchworld.com/articles/successful-ai-implementations-in-market-researchhttps://www.ipsos.com/sites/default/files/ct/news/documents/2022-05/Ipsos-Views_AI-Meets-Consumer-Insights.pdfhttps://aiexpert.network/ai-at-ipsos/
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