Resources
Use Cases:
Enhancing Pharma Launch Campaigns with Drug-GPT
Access the PDF Use Case.
At a Glance
Challenges
- Manual Bias
- Measuring level of alignment and understanding of HCPs
- Assess impact of marketing
Benefits
- A robust quantitative measurement of HCP alignment
- Measure share of voice
- Decision making tool for evaluation and planning of HCP campaigns
Customer Objective
Healthcare Company C struggled to understand and measure the level of alignment between their Client’s key brand messages and the opinions of Healthcare Professionals (“HCPs”) before and after a drug launch. This made it difficult to assess the impact of their campaigns, ROI, and identify areas for improvement.
Brief
The brief to Talking Medicines was to leverage Drug-GPT to analyze HCP data provided by Healthcare Company C, including social data, transcript data from HCP interviews, and messages from community platforms, in order to assess alignment between the Client’s key brand messages both pre- and post-launch. The aim of this this analysis was to provide valuable intelligence into HCP perspectives and trends, enabling better strategic decision making and measurement of the impact of messaging efforts throughout the brand’s lifecycle.
Solution
This AI-assisted approach led to an 80% improvement in efficiency and provided longitudinal intelligence, decreasing manual bias and allowing for more diverse data sources to be processed.
It allowed Healthcare Company C to:
- Gain a better understanding of HCP alignment with key brand messages before and after the drug’s launch.
- Assess the impact of a Client’s launch campaigns on HCP conversations and alignment levels of HCPs.
- Identify areas for improvement and optimize future campaigns based on the changing trends in HCP alignment scores.
Optimize your marketing impact with Drug-GPT
Contact Britt Gibson, Manager Global Customer Engagement, at [email protected].
