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Gain an 80% Productivity Boost and Drive Strategic Excellence

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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
  • Limited Insight Extraction: Difficulty identifying key trends from vast HCP conversations

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 assess conversations about Drug X pre and post a regulatory event.

Brief

The brief to Talking Medicines was to analyze HCP conversations from multiple sources pre, post the regulatory event 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 social listening.

Solution

Talking Medicines ingested the Healthcare Advertising Agency’s Conversational Data and applied its Advanced Data Science and AI models. As a result, the comprehensive analysis provided a 360° view of HCP conversations, revealing:

  • FDA safety concerns were not widely discussed
  • Positive mentions of Drug X were more prevalent

The customer was able to understand the key topics and language used around the brand with high accuracy and relevance which were utilized in new brand strategies.

Productivity benefit: The Healthcare Advertising Agency found that their core team had spent 4 days on this Client project, an 80% productivity boost compared to previous projects which had taken 20 days.

Gain an 80% Productivity Boost with Drug-GPT

Contact Britt Gibson, Manager Global Customer Engagement, at [email protected].

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