Optimizing Messaging for Key Patient Personas with Drug-GPT

Customer Objective

A Healthcare Advertising Company (Customer)were working with a major Pharma Co (Client) on a strategic educational brand campaign. The Client worked in the Respiratory space and were looking to launch a campaign based on the term “Type II Inflammation”. They needed to understand whether Patients were actively using this terminology and whether it was likely to resonate with the various Patient personas that have this condition.

Brief

The Customer briefed Talking Medicines to curate their Client’s educational content, app data, website content, social sources, and survey data with Drug-GPT. From this structuring and curation the Customer would then be able to understand the aggregated personas. The Customer could then use Drug-GPT to ask natural language questions of each of these personas to determine whether Patients were discussing “Type II Inflammation” and if the term was understood.

Solution

Through using Talking Medicines Drug-GPT, the Customer learned that only one group of patients were actively using the terminology “Type II Inflammation” and understood what it meant. Using this information the Customer was able to make more informed decisions, and subsequently adjusted their strategy and refined their messaging. The Customer measured the success of this through using Drug-GPT again. The Advanced Data Science and AI-assisted approach led to an 80% improvement in efficiency, and provided longitudinal insights, decreasing manual bias.