How real-time data transformed pharma commercialization

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Our research explores how data innovations continue to create systematic commercial advantages in pharma — now, at unprecedented speed. Over 25 years ago, Pfizer reshaped pharma commercialization by aggregating prescription claims data, while others relied on HCP publication lists. That shift in data strategy helped propel Lipitor from $3.8B to $12.9B in just seven years. Pfizer’s insight: Quarterly prescription volume data enabled a reach-and-frequency model that changed the industry. Today’s evolution: Real-time contribution margin data at the individual prescription level enables dynamic, prescription-level optimization. At BlinkRx, we've built on that legacy with the Real-Time Rx Graph — our dynamic system that delivers ecommerce-like insights through the Prescription Lifecycle Management Platform (PLMP). It’s a step change that empowers smarter, faster decisions. Then vs. now: Pfizer: Quarterly volume → Reach & frequency BlinkRx: Real-time margin → Rx-level optimization While breakthrough therapies like GLP-1s can thrive on market buzz, most therapies require the kind of systematized, data-enabled approach that made Lipitor a legend — now turbocharged by real-time precision. Discover the three systematic principles that drove Lipitor’s success and how they’re being reimagined in the era of real-time Rx data in our white paper: Data Boom 2.0: The Power of Real-Time Data (link in comments). How is your organization preparing for the real-time data revolution? #Pharma #RealTimeData #DataStrategy #Innovation

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