Case Study
Generating Brand Insights from Millions of Social Media Posts with AI
Jan 23, 2024
A pharmaceutical company needed to extract insights from noisy social media data across multiple languages and regions to inform their marketing strategies. The data informed decisions of various internal teams and was updated regularly. They proposed using NLP for analyzing this large, unstructured data as part of a digital intelligence initiative.

IQVIA developed an AI-driven data feed to analyze social media data, providing key insights for brand teams. The system used a blend of methods, including BERT for persona identification, and was designed for flexibility to accommodate future AI advancements.

IQVIA's work significantly impacted the program, providing valuable insights for brand teams' marketing and engagement strategies. Their use of AI tools enabled accurate post tagging and categorization, facilitating efficient identification of key topics. This led to improved stakeholder engagement, operational efficiency, and cost reductions.
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