Pharosity Consulting Inc

Inputs for Pre-Launch Gross-to-Net (GTN) Forecasting Modeling: You know you need the modeling capability, but what do you need to make it happen? Business assumptions and data inputs are necessary assets to project various GTN forecast results. Yet obtaining these data sets and assumptions is often one of the most challenging aspects of GTN forecasting, particularly for pre-launch products where there may be a dearth of available data sources.  Ready to learn more? Check out our blog on this topic: https://lnkd.in/gePrJmKh

Check out the highlights from our latest webinar on Reimagining Demand & GTN Forecasting. https://lnkd.in/g2Vv3cEG

Add North Carolina to your Price Transparency Reporting list!  North Carolina’s Senate Price Transparency Reporting Bill 479 SB4799 was signed into law on July 9, 2025, and contains two price transparency reporting requirements for manufacturers related to new drug launches and price increase thresholds. North Carolina’s Price Transparency reporting begins January 1, 2026. The price increase threshold will be 15% or more during the prior calendar year, and price increase reports will be due by January 31 annually. New drug reporting will also be required within three days of any launch. Expect more details over the next five months as North Carolina prepares its data collection portal for these reports.   Contact us at www.Pharosity.com/contact to help you track and complete these new North Carolina reports as well as all other State Price Transparency Reporting and PDAB-related activities. 

Still using isolated point solutions for Gross to Net or demand forecasting? Pharma manufacturers are shifting away from rigid, pre-built tools and embracing common platforms that connect GTN, demand forecasting, accruals, and commercial planning. 👉 Discover why putting your solution “on an island” no longer works: https://hubs.la/Q03qf_xc0 Pharosity Consulting Inc, Michael McCarthy, Rob Ririe & Tara Rockers

In the world of pharmaceutical forecasting, especially when it comes to Gross-to-Net (GTN) channel forecasting, staying ahead of market dynamics is both an art and a science. As commercial teams aim to predict customer- and channel-level revenue performance, one of the most effective tools in the toolkit is the Market Events Library. Read our latest blog to learn more: https://lnkd.in/gjpzy4NS

What projection model is right for you?  As a demand forecaster, you generally have a list of market events that you know you’ll need to apply to your baseline forecasts. But when it comes to those baseline forecasts, how do you choose the right projection methodology that best suits each brand in your portfolio? When we conduct projects to answer this question, the analysis considers where your product is in its lifecycle, the purchasing behavior of the marketplace, and nuanced adjustments to achieve the outcome that your organization can support. Throughout the analysis, we want to make sure the use of statistical algorithms matches the knowledge and skills of your organization. Here are some things to think about. 💊 If your drug is in a steady state with consistent purchasing behavior, consider a more straight-forward methodology like a linear projection.  💊 Exponential growth methodologies are better suited to drugs in growth phases where demand is increasing.  💊 Consider your drug’s natural sales peaks and valleys to see if seasonal factors and adjustments suit your situation best. If so, there are numerous statistical algorithms and forecasting techniques that match well with that situation. Let Pharosity help. Visit pharosity.com/contact.

Aren’t you tired of having to stitch together results from multiple forecast tools and spreadsheets to complete your forecasting cycle? Wouldn’t it be more efficient if the nuances of Demand forecasting, GTN forecasting, and What-if scenario modeling could be catered to with a common platform? 💡It can! Last week, Pharosity Consulting Inc and Twelve Consulting Group presented an insightful webinar on the benefits of Enterprise Performance Management (EPM) platforms like Anaplan. An EPM platform can provide comprehensive functionality to enable the statistical and event driven needs in Demand Forecasting, as well as the complex connectedness required in a comprehensive GTN forecasting model. And, sharing results across models on the platform requires no point-to-point interfaces. Thanks to the data automation that comes with EPM implementation, business teams can look forward to forecasting cycles without the hunting and gathering that typically begins their processes. Teams handling Demand Forecasting can achieve:  🖱️ Flexibility to design and implement the baseline trending approach that suits a given brand  🖱️ Centralized statistical forecasting eliminating the dependency on external forecasting tools like Forecast Pro, if desired  🖱️ A market events library and standard methodologies to apply future events to forecasts And GTN Forecasting teams can achieve:  🖱️ Multiple forecasting methodologies selectable by time period for each brand, channel, and customer combination  🖱️ Modeling of detailed discount terms enabling your optimal level of forecast granularity  🖱️ Government Price Type projections that incorporate forecasted commercial discounts  🖱️ Comparative Analytics & Reporting on a common platform, with outputs to downstream analytics and systems Ready to leverage the power of an EPM? Email Mike@pharosity.com to schedule a demo today. 

Who said all GTN implementation projects are successful? Business and technical team members are critical to driving successful Gross-To-Net (GTN) implementations. They know the business, they know multiple forecasting methodologies, they have insights from past experiences, they can configure a solution utilizing the appropriate technologies, and they can test specific functionalities. Typically, they adapt and are versatile.   Then why does one GTN project struggle while others succeed? Lack of project management is frequently the answer. This work stream is the foundation for executing the project against its overall objectives, scope, timeline, and budget, and must be a core element of any solution implementation. We all know GTN forecasting and management processes are famous for the sheer number of data sources, methodologies and workflows that need to be coordinated, so it should be no surprise that GTN solution implementations require particular attention to project management. Pharosity takes this discipline seriously, addressing key fundamentals and tools on every implementation engagement, including: 👉 Project kickoff and early data request to ensure organizational alignment from the start  👉 Tracking progress against a strategic but detailed work plan  👉 Communicating progress, including risks, action items, issues, and decisions in a clear, documented and organized fashion  👉 Managing project financial goals and the project management options to achieve them Contact Pharosity today to get your next project over the finish line. Pharosity.com/contact

Pharma manufacturers are increasingly moving away from siloed models and manual workarounds. In this session, we’ll showcase how leading teams are aligning Demand Planning and Gross to Net on a single, scalable platform. During the webinar, we’ll cover: 💡 How to apply market events and statistical models in one forecasting model 💡 Building a market events library to improve future forecast accuracy 💡 Creating consistency across GTN and Demand assumptions 💡 A live Anaplan demo that brings the connected approach to life Register today: https://lnkd.in/gve9Q3dt

What inputs should you consider when forecasting demand? As they say, what’s past is prologue. While factoring knowledge about future events into forecasts is critical, forecasting demand begins with the development of baseline trends, usually informed by an historical view of your product’s sales or those of an analog. When establishing your demand forecasting business function, consider the following elements as key inputs: third-party syndicated data, expected patient counts per time, assumptions or knowledge of competitor strategies, and the impact of regulatory developments. 🎯 Acquire third-party syndicated data that can show your performance compared to your competitors, or the performance of analog products  🎯 If applicable, analyze how a competitor’s new or existing drug in the market will affect your market share  🎯 In the absence of reliable syndicated data, develop baseline forecasts based on epidemiological assumptions and/or expected patients per time  🎯 Stay in tune with government regulation and whether changes will help or hinder your brand  🎯 Some of these items will involve gathering input from multiple areas of your company from account management to government affairs, each having different parts of the equation. But, ensuring a well-rounded set of reliable inputs will get your baseline trending off on the right foot. Contact Pharosity today for a free consultation. Visit Pharosity.com/contact