Pharmaceutical Product Branding Strategies

 

Name Pharmaceutical Product Branding Strategies — Simulating Patient Flow and Portfolio Dynamics
Modelers Mark Paich, Corey Peck, Jason Valant
Contact Jason Valant or Corey Peck
Client/Participant Numerous Pharmaceutical Companies
Client Type Corporation
The Official Website

Lexidyne, LLC specializes in helping clients understand and leverage key cause–and–effect relationships using the principles of System Dynamics. Combining strong facilitation skills with powerful simulation tools and over 100 years of collective System Dynamics experience, the Lexidyne team offers consulting solutions to government agencies, non–profit organizations, and several Fortune 500 companies. Headquartered in Colorado, Lexidyne works with clients across the country and around the globe.

 

The Issue You Tackled Pharmaceutical companies face many complexities guiding a new drug through the development process toward the launch of the product — a complicated endeavor involving numerous milestones and a large investment of human and financial resources.

The efforts of the Brand Plan team result in a comprehensive look at the disease marketplace, the competitive landscape, currently available and pipeline treatment options, the assessment of the unmet medical needs in the market, and other information designed to inform decision makers about the conditions into which a new compound might be introduced. From a marketing standpoint, however, the key outcome of the Brand Planning process is the concept of brand positioning. Brand positioning helps establishing a series of product strategies created to leverage the collective knowledge of the disease market and effectively use resources to increase uptake of the new product. The strategies are often categorized by areas of target influence, such as patient and or physician segmentation, impact on the regulatory environment, effect on pricing/reimbursement, publication strategy, etc.

The typical brand planning process can be hindered in four key ways:

  1. Misapplication of product analogs
  2. Failure to leverage the institutional knowledge of cross-functional team members
  3. Inherent limitations of static approaches
  4. Maintaining consistent assumptions when evaluating alternative strategic options

Often there is a lack of integration between forecasts and product strategies. In the prelaunch timeframe however, rigorously testing the effects of possible strategies is impossible without an operational way to evaluate the expected outcome of strategic marketing decisions.

What You Actually Did This updated Second Edition of Pharmaceutical Product Branding Strategies details how marketers, forecasters, and brand planners can achieve optimal success by building internally consistent simulation models to project future behavior of patients, physicians, and R&D processes. By introducing the reader to the complexities facing many pharmaceutical firms, specifically issues around cross-functional coordination and knowledge integration, this guide provides a framework for dynamic modeling of interest to several pharmaceutical markets, including epidemiology, market definitions, compliance/persistency, and revenue generation in the context of patient flows or movements.

Using clear terminology, Pharmaceutical Product Branding Strategies provides a solid framework for dynamic modeling to help marketers, forecasters, and brand planners to successfully:

  • Predict the behavior of patients, physicians, and R&D processes
  • Build a successful brand management strategy
  • Target a wider audience with your product
  • This didactic guide discusses the complexities faced by many pharmaceutical firms and explains how dynamic modeling effectively addresses these problems in a systematic way. The positive effects of this method are supported by articles from recent business publications, literature reviews, definitions sections, and collectable market-level data. Dynamic modeling is also compared and contrasted with other existing techniques to give the reader background information and context before initiating a plan.

Strategies highlighted as part of a strong brand planning formula include:

  • Cross-functional coordination and knowledge integration to assess the patient’s needs
  • Diffusion, segmentation quantification, and ultimate calibration to encourage doctors to adopt your product
  • Choice models, conjoin analysis,, competitive sets, data collection/estimation, and market calibration to create an “attractive” treatment for consumers
  • Integration of three basic analysis platforms (patient dynamics doctor adoption, and treatment attractiveness) to sell your brand.

A “typical” disease market model would follow the following evolution (Doctor Adoption and Portfolio Model examples follow similar processes):

  1. Begin by leveraging the system dynamics principles of stocks and flows to establish epidemiological projections for specific disease markets
  2. Often times a combination of modeling approaches are used within this framework
    a.System Dynamics models provide a clear aggregate view of epidemiology dynamics.
    b.While Agent Based models support the inclusion of more extensive segmentation and discrete dynamics.

  3. Each patient’s journey can be virtualized based on probabilities that are tied to conditional probabilities related to their micro-demographic epidemiology status.
  4. Once robust epidemiological underpinnings have been established, we analyze longitudinal treatment data to distill segmented therapy dynamics that are incorporated into the simulation structure thus creating opportunity for strategic insights.
The Results Numerous pharmaceutical companies have adopted this dynamic modeling approach to evaluate disease markets, doctor adoption, and the R&D pipeline process. Over 100 models have been implemented across numerous indications both in US markets and internationally.

These models have been instrumental in creating optimal strategic initiatives and have enhanced the forecasting process. These models also often serve as the repository for analytics from “big data” as well as institutional team knowledge about the disease area and provide a transparent shared view of data driven dynamics and market assumptions. The “what if” scenario testing capability of the models provides these organizations with a tool to test marketing strategies and evaluate hypothetical changes in future market evolution dynamics, allowing these organizations to understand implications of an uncertain future.

 

Related Publications Pharmaceutical Product Branding Strategies: Simulating Patient Flow and Portfolio Dynamics download

 

Did You Know?

System Dynamics Forrester Award

The Jay Wright Forrester Award recognizes the authors of the best contribution to the field of System Dynamics in the preceding five years. In 2010, the award was presented to Mark Paich, Corey Peck, and Jason Valant of Lexidyne, LLC for their winning work Pharmaceutical Product Branding Strategies: Simulating Patient Flow and Portfolio Dynamics, published by Informa Healthcare; 2nd edition March 2009. More information on this book can be found at this link.

The citation and winners’ speech (delivered at the award ceremony in Seoul) has been published in full in the System Dynamics Review.
(Jul 2010)

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