
AI Research is Shaping IGP Decisions
New RepTrak data suggests IGP stakeholders are being influenced by AI further up the funnel, highlighting the need for AI reputation management.
Reputation Intelligence for the Pharmaceutical Industry
Leverage data-driven insights to monitor, measure, and manage your reputation in the Pharmaceutical industry.
While innovation drives progress, public skepticism around drug pricing, transparency, and ethics can erode trust. Negative perceptions not only damage stakeholder relationships but also impact market value. In this high-stakes environment, maintaining your brand's reputation is essential to long-term success.
RepTrak equips Pharma companies with the tools necessary to navigate complex reputational challenges. With continuous insights into public sentiment, media impact, and regulatory perceptions, RepTrak empowers teams to make data-driven decisions. Our team of experts partner with clients to manage risks, enhance trust, and stay ahead in an evolving industry.
Recommendations from experts who understand the nuances of the Pharma industry across global markets.
Scientifically validated approach, fine-tuned for Pharma, providing insights you can act on with confidence.
Leverage millions of global data points from over 20 years and learn from leaders who’ve transformed their reputation.
Built for Data-Driven Communication Teams
Gain insights into the perceptions and expectations of patients, regulators, healthcare professionals, and other key stakeholders.
Global & Local Pharma Insights
The 2024 Pharma Report offers a comprehensive view of the Pharmaceutical industry's reputation landscape, highlighting key trends and challenges across global markets. As public expectations continue to rise in the post-pandemic environment, Pharma companies are confronted with increased regulations, demands for quick innovations, and shaky relationships with critical stakeholders.
Fill out the form to learn more about what's driving the industry's reputation recovery — and where improvement is still needed.
Previous reports can be found here:
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New RepTrak data suggests IGP stakeholders are being influenced by AI further up the funnel, highlighting the need for AI reputation management.
An industry-level view of Global RepTrak 100 data shows a nuanced view of the "multiplayer" trend. For Comms leaders evaluating strategy, this is required reading.
In our Q1 Current Events data, the Informed General Public said companies should be more focused on operational fundamentals that impact the customer and less on topics that skew more narrative-driven and signaling-oriented.
A look at the diverging paths of two storied brands through the lens of Global RepTrak 100 rankings.
RepTrak released the 2026 Global RepTrak 100 on April 8, 2026. The report ranks the most reputable companies in the world and highlights key trends in trust, AI adoption, and corporate reputation.
Many organizations believe they are managing stakeholders. What they are actually managing, in many cases, is averages.
Against a backdrop of mixed public sentiment on AI, a number of companies are beginning to reframe their core product experiences around innately human elements. RepTrak data shows why this trend is likely to accelerate—and points to what you should be tracking.
The consumer health and pharma reputation landscape has shifted structurally since the COVID peak, and not in ways that more communications activity alone will fix. Here's what's facing new comms leaders in the space.
Most comms teams are watching the wrong things during viral moments (they're reacting to volume when they should be diagnosing Reputation driver exposure). We put together a framework for doing exactly that — using RepTrak Compass to move from reactive narrative control to structured reputation diagnosis.
Most comms teams are watching the wrong things during viral moments (they're reacting to volume when they should be diagnosing Reputation driver exposure). We put together a framework for doing exactly that — using RepTrak Compass to move from reactive narrative control to structured reputation diagnosis.
New RepTrak data suggests IGP stakeholders are being influenced by AI further up the funnel, highlighting the need for AI reputation management.
An industry-level view of Global RepTrak 100 data shows a nuanced view of the "multiplayer" trend. For Comms leaders evaluating strategy, this is required reading.
In our Q1 Current Events data, the Informed General Public said companies should be more focused on operational fundamentals that impact the customer and less on topics that skew more narrative-driven and signaling-oriented.
A look at the diverging paths of two storied brands through the lens of Global RepTrak 100 rankings.
RepTrak released the 2026 Global RepTrak 100 on April 8, 2026. The report ranks the most reputable companies in the world and highlights key trends in trust, AI adoption, and corporate reputation.
Many organizations believe they are managing stakeholders. What they are actually managing, in many cases, is averages.
Against a backdrop of mixed public sentiment on AI, a number of companies are beginning to reframe their core product experiences around innately human elements. RepTrak data shows why this trend is likely to accelerate—and points to what you should be tracking.
The consumer health and pharma reputation landscape has shifted structurally since the COVID peak, and not in ways that more communications activity alone will fix. Here's what's facing new comms leaders in the space.
Most comms teams are watching the wrong things during viral moments (they're reacting to volume when they should be diagnosing Reputation driver exposure). We put together a framework for doing exactly that — using RepTrak Compass to move from reactive narrative control to structured reputation diagnosis.
Most comms teams are watching the wrong things during viral moments (they're reacting to volume when they should be diagnosing Reputation driver exposure). We put together a framework for doing exactly that — using RepTrak Compass to move from reactive narrative control to structured reputation diagnosis.







