Pharmaceutical Sales Tracking Data

Pharmaceutical Sales Tracking Data
At Nomad Data we help you find the right dataset to address these types of needs and more. Submit your free data request describing your business use case and you'll be connected with data providers from our over 3,000 partners who can address your exact need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
At Nomad Data we help you find the right dataset to address these types of needs and more. Sign up today and describe your business use case and you'll be connected with data vendors from our nearly 3000 partners who can address your exact need.


Understanding the dynamics of pharmaceutical sales, particularly tracking sales by drug manufacturers, has historically been a complex challenge. Before the digital age, insights into drug sales were primarily derived from manual records, industry reports, and surveys, which were not only time-consuming but also often outdated by the time they were published. Companies relied on these antiquated methods, lacking real-time data or any data at all in some cases, to make critical business decisions.

The advent of sensors, the internet, and connected devices, alongside the proliferation of software and databases, has revolutionized the way data is collected and analyzed. This technological evolution has made it possible to track pharmaceutical sales in real-time, providing businesses with timely insights that were previously unimaginable. The importance of data in understanding pharmaceutical sales cannot be overstated. It has transformed the landscape from one of speculation and delayed reports to one of precision and immediacy.

Historically, firms were in the dark, waiting weeks or months to understand changes in drug sales. Now, with the advent of various data types, changes in the pharmaceutical market can be understood in real time. This shift has not only enhanced the accuracy of market analyses but also significantly reduced the time it takes to make informed decisions.

The transition from traditional data collection methods to modern, data-driven approaches has opened up new avenues for understanding pharmaceutical sales. This article will explore how specific categories of datasets can provide better insights into tracking drug sales by manufacturer, highlighting the importance of healthcare data, alternative data, and transaction data in shedding light on this complex topic.

Healthcare Data

Healthcare data has been instrumental in providing insights into pharmaceutical sales. This category encompasses a wide range of data, including historic drug sales data collected from company filings and drug-level consensus forecasts. The technology advances in data collection and analysis have significantly contributed to the availability and utility of healthcare data.

Historically, healthcare data was limited and often difficult to access. However, the digital transformation in the healthcare sector has led to an acceleration in the amount of available data. This has been further enhanced by the development of platforms that aggregate and analyze data from various sources, providing comprehensive insights into drug sales.

Healthcare data can be used to:

  • Track historic sales of specific drugs on both annual and quarterly bases.
  • Analyze drug-level consensus forecasts, constructed from equity analyst forecasts, to predict future sales trends.

Industries and roles that benefit from healthcare data include pharmaceutical companies, market researchers, and healthcare consultants. These stakeholders can leverage healthcare data to gain a competitive edge, inform strategic decisions, and better understand market dynamics.

Alternative Data

Alternative data provides a unique perspective on pharmaceutical sales, offering insights that traditional data sources may not capture. This category includes healthcare claims data, which can offer a granular view of drug sales for specific medications.

The use of alternative data in tracking pharmaceutical sales is a relatively new phenomenon, driven by the availability of large datasets and advanced analytics. This data type has become increasingly important as companies seek to understand the nuances of drug sales beyond traditional sales reports.

Alternative data can be used to:

  • Provide coverage of sales for specific drugs, offering insights into market penetration and performance.
  • Supplement traditional sales data with healthcare claims information, enriching the overall understanding of drug sales dynamics.

Roles and industries that benefit from alternative data include pharmaceutical manufacturers, healthcare providers, and insurance companies. By integrating alternative data into their analysis, these stakeholders can achieve a more comprehensive view of the pharmaceutical market.

Transaction Data

Transaction data, particularly from point of sale (POS) systems, offers real-time insights into drug sales at the retail level. This data type captures sales data from retail grocery store chains and in-store pharmacies, providing a direct view of consumer purchasing behavior.

The emergence of transaction data as a valuable source of insights into pharmaceutical sales is closely tied to the digitalization of retail and the widespread adoption of POS systems. This has allowed for the collection of detailed sales data, which can be analyzed to understand trends and patterns in drug sales.

Transaction data can be used to:

  • Track over-the-counter (OTC) and prescription (Rx) drug sales at participating retail locations.
  • Analyze geographic diversity in drug sales, offering insights into regional market dynamics.

Industries and roles that benefit from transaction data include retail pharmacies, market analysts, and pharmaceutical companies. This data provides a ground-level view of drug sales, enabling stakeholders to make informed decisions based on consumer behavior.


The importance of data in understanding pharmaceutical sales cannot be overstated. The advent of healthcare data, alternative data, and transaction data has revolutionized the way companies track drug sales by manufacturer. These data types offer unique insights, enabling business professionals to make better decisions and gain a competitive edge.

As organizations become more data-driven, the discovery and utilization of diverse data sources will be critical to achieving a comprehensive understanding of the pharmaceutical market. The future of pharmaceutical sales tracking will likely see the emergence of new data types, further enriching the insights available to companies.

Corporations are increasingly looking to monetize the valuable data they have been creating for decades. This trend underscores the growing recognition of data as a strategic asset, capable of providing critical insights into drug sales and beyond. As the landscape of data continues to evolve, the potential for innovative analyses and informed decision-making in the pharmaceutical industry is boundless.


Industries and roles that could benefit from the discussed data types include investors, consultants, insurance companies, market researchers, and pharmaceutical companies. These stakeholders face various challenges, from understanding market dynamics to predicting future trends, and data has transformed the way these challenges are addressed.

The future of data in the pharmaceutical industry is promising, with advancements in AI and analytics poised to unlock the value hidden in decades-old documents and modern government filings. This evolution will enable stakeholders to derive even deeper insights, further revolutionizing the understanding of pharmaceutical sales.

Learn More