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Use Cases:
Gain an 80% Productivity Boost and Drive Strategic Excellence
Access the PDF Use Case.
At a Glance
Challenges
- Time-Consuming Analysis: Manual conversations tracking is slow, delaying timely insights
- Resource-Heavy Process: Traditional methods require extensive labor and time to create holistic intelligence
- Limited Insight Extraction: Difficulty identifying key trends from unstructured HCP data
Benefits
- 80% Time Savings: Accelerates and elevates data driven decision making
- Resource Efficiency: Reduces labor and costs, optimizing overall productivity
- Actionable Insights: Quickly identifies relevant intelligence enabling more informed and timely brand decisions
Customer Objective
The Healthcare Advertising Agency’s primary objective was to analyze unstructured Healthcare Professional (HCP) conversations to understand in depth opinions about Drug X pre, during and post advertising campaign.
Brief
The brief to Talking Medicines was to analyze HCP conversations from multiple sources pre, during and post the campaign to assess whether there was a shift in opinion regarding Drug X and the ripple effect this had on competitor brands.
Previously, this would have been performed by the Healthcare Advertising Agency through in-depth interviews and social listening.
Solution
Talking Medicines ingested the Healthcare Advertising Agency’s unstructured health-related data, this was then curated, and Advanced Data Science and AI technologies were applied. As a result, the comprehensive analysis provided a 360° view of HCP conversations, revealing:
- A landscape view of the audience pre, during and post Campaign
- Deep analysis of Message Affinity to brand statements pre, during and post Campaign
- Access to verbatims to analyze language used
This solution drove efficiency and effectiveness with the Customer – it was estimated an 80% productivity boost compared to previous workflows.
Gain an 80% Productivity Boost with Drug-GPT
Contact Britt Gibson, Manager Global Customer Engagement, at [email protected].