Mark Miller, Managing Director of Life Science Advertising, Marketing & Commerce at Deloitte, joins the podcast to discuss leveraging data in AI use cases in pharmaceutical sales and marketing. He emphasizes the importance of connected data and decision algorithms to engage with healthcare professionals effectively. Topics include challenges in the life sciences field, the impact of AI and data on marketing and sales, adapting strategies in life sciences, and applying Gen AI in the pharmaceutical industry.
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Quick takeaways
The pharmaceutical industry prioritizes next best engagement, leveraging connected data and decisioning algorithms to effectively engage with healthcare professionals through various channels and intelligent orchestration.
Successful pharmaceutical and medtech organizations are shifting towards custom experience design, focusing on delivering relevance at every touchpoint, encouraging agility, risk-taking, and continuous learning.
Deep dives
Importance of Cross-Functional Capabilities in Pharma Sales and Marketing
Mark Miller emphasizes the need for new and effective ways for pharmaceutical companies to reach and engage with their stakeholders, including doctors, care teams, patients, and hospitals. This requires interconnected data and non-traditional analytics to understand and personalize content for different audiences. The challenge lies in the complexity of the current healthcare environment, which demands understanding audiences in new ways, finding them through various channels, and delivering tailored content. The goal is to engage with audiences through dialogue, being educational, polite, and professional, while avoiding overwhelming them with aggressive marketing tactics.
Utilizing Behavioral Data and Intelligent Orchestration in Pharma Sales and Marketing
In the pharmaceutical industry, a dominant capability area is next best engagement, which involves leveraging connected data and decisioning algorithms to engage with healthcare professionals more effectively. This includes engaging through field force interactions, various marketing channels, and intelligent orchestration. Micro segmentation plays a crucial role in understanding audiences based on their current behavior, which requires tapping into fast-moving online behavioral data in real-time. Pharma companies also focus on channel and content optimization to ensure the right message is delivered through the right channels at the right time. This requires bringing data together, using decisioning algorithms, and continuously optimizing strategies based on clearly defined business use cases.
The Shift Towards Custom Experience Design in Pharma Sales and Marketing
Successful pharmaceutical and medtech organizations are shifting towards custom experience design, which involves engaging with audiences by delivering relevance at every touchpoint. This shift requires a mindset starting from the top-down, encouraging agility, risk-taking, and continuous learning. The key is to focus on solutions that benefit every brand, portfolio, and region, while ensuring uniformity and standardization for scalability. Collaboration, shared successes, and a focus on clear KPIs are crucial to maintaining momentum and achieving impact. While new capabilities such as gen AI and machine learning are important, the ability to adapt, adopt, and adjust strategies based on data and market insights is what sets companies apart in an evolving landscape.
Today’s guest is Mark Miller, Managing Director of Life Science Advertising, Marketing & Commerce at Deloitte. He joins Emerj CEO and Head of Research Daniel Faggella on today’s podcast to discuss leveraging data in proven AI use cases in pharmaceutical sales and marketing, particularly when it comes to the ‘next best’ engagement. Throughout the episode, Mark emphasizes the importance of connected data and decision algorithms to engage with healthcare professionals more effectively. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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