Time For Predictive Rather Than Reactive Pharma Strategy

Traditionally, pharmaceutical industry, across the world, is mostly reactive – rather than proactive or predictive in its strategic approach – spanning across all its business domains. A large number of pharma players – both innovators and generic drug makers, formulate their business strategy – generally reacting to competition, changing market dynamics and patient/ doctor /other stakeholder preferences. The same is being witnessed even during Covid-19 pandemic. However, this trend seems to be more prevalent in India – as one looks around.

For example, in R&D – be it a statin drug, proton pump inhibitors and right up to monoclonal antibodies or cancer immunotherapies – after a first-in-class molecule comes, a plethora of ‘me-too’ – but patented molecules soon follow. A comparable trend in the generic drug categories is also all-pervasive, including fixed-dose combinations (FDCs).

Similarly, even in the good old days of sales and marketing, we have seen – after the first product detailing folder was successfully introduced by a leading pharma company in India, how competition lapped the concept up – considering this change as a magic wand for brand demand generation!

In recent days, a similar trend is surfacing for ‘Digitalization’ of pharma business, mostly reacting to the changing practices of key competitors, or involving patients or doctors’ preferences. It gets reflected in other business domains, as well. With this perspective, in this article, I shall deliberate on this area, especially in view of the current situation.

Traditional ‘safe sailing’ is no longer an option:

The Coronavirus pandemic could be a stronger catalytic factor for the drug industry to initiate the much-desired transition from being reactive to predictive in its strategic business approach- faster. Interestingly, way back in June 2007, the PwC Whitepaper titled “Pharma 2020: The vision”, had also articulated: ‘The social, demographic and economic context in which the pharmaceutical industry (Pharma) operates is changing dramatically.’

Some drug players have already opted to transform their organizations in sync with the changes in the operating environment. But, a vast majority of them preferred to stick to the traditional reactive mindset, for a safe sail, as it were. However, this doesn’t seem to be an option, any longer. Be that as it may, there is nothing wrong in being reactive in strategic business practices, although formulating a predictive or proactive growth strategy demands more cerebral prowess and is much different from the reactive ones.

The difference, I reckon, is similar to that of a leader and the followers, with nearly similar impact on overall corporate image and performance, besides a prime-mover advantage of the latter. Nevertheless, there could be a predictive approach even within a reactive approach to competition. To illustrate the point, let me cite an example related to ‘me-too’ – patented-drug development.

Making an overall reactive strategic approach proactive in nature: 

Among several examples of making a reactive strategic approach – proactive in nature with innovative goals, let me quote a very recent one. For decades, drug companies have been selling ‘me too’ but patented drugs, at prices similar to the original and ‘first-in-class’ drugs, which are successful and enjoying a market monopoly.

Moving away from this trend, a startup drug maker, reportedly, wants to disrupt the traditional pharma industry practices by delivering what most patients and healthcare stakeholders want. It has set a novel goal of becoming patient-centric in its offering by making innovative drugs available at affordable prices. The startup wants to achieve this objective ‘by changing long-held industry practices for developing, pricing, and selling slightly different versions of costly brand-name drugs.’

Accordingly, with a proactive or predictive approach within an overall ‘reactive’ trend, it wants to create a unique niche for itself. The entity ‘will focus on developing “me too” drugs, which imitate the biological functions of existing drugs, but use distinct molecular structures so they don’t infringe on existing drug patents.’

Evolving a new demand of value-based health care system:

During disruptive changes and uncertainties in the business environment, such as what is being experienced today, gaining actionable insight on how these changes will call for new strategies to excel, would require a predictive mindset. This is of critical importance, particularly when a new demand for a value-based health care system is fast unfolding. This subject was well deliberated also in the book – ‘Healthcare Disrupted: Next Generation Business Models and Strategies.’

About six years back what the authors of this book predicted, seems to be a reality today. They had said: The concept of “value” rules the day, undoubtedly. The transition from the old ‘fee-for-service’ to ‘fee for value’, is game changing. On the same subject, another article - Focus on Value 1: The “Tsunami of Change”, published in the ‘eye for pharma’ on March 22, 2026, quoted the authors of this book – explaining the scenario lucidly.

They said, today’s health care system is largely reactionary, as the health services react to the persistence of consumers, their phone calls, queuing for services, waiting in the waiting room and calls to healthcare insurers. Whereas, ‘tomorrow’s system would prompt the health care providers to answer a seemingly simple question: how will they become relevant to a customer group?

Even six years down the line, especially in the current global pandemic situation with an evolving demand of a value-based health care system, this concept remains so relevant, possibly more than ever before. That said, an unforeseen and unprecedented situation could also force a pharma player – already moving on a predictive strategic path, to choose a reactive path – mostly for survival and progress of business.

When a company moves into a ‘reactive’ path from a ‘predictive’ one:

Such instances are infrequent. But a major event like Covid -19 may give rise to such a situation. For example, in the Pharma and Biopharma R&D space, it happened and is still happening. As ‘Evaluate Vantage Covid-19 Report’ of April 16, 2020 highlighted, as follows:

‘Anyone thinking that 2020 might travel down a predictable path for the biopharma sector was swiftly disabused of this view in the opening weeks of the year. The Coronavirus pandemic has changed the focus for almost every drug developer, whether they are working on potential treatments or trying to keep their businesses on track – or both.’ Good or bad, this is the reality today.

However, many of these organizations are unlikely to jettison their well-thought out ‘predictive’ pathway and are expected to soon find ways to move back to it. Thus, the question that one may pose, how does a company move into a predictive pathway from a reactive one? And particularly considering, if Covid-19 pandemic has caused some irreversible changes, or even – a long-term change in the business environment.

Getting back to predictive strategic path from a reactive one:

This issue was also covered in the article – ‘Three Proactive Response Strategies to COVID-19 Business Challenges,’ published in the MIT Sloan Management Review, on April 17, 2020. It wrote, as organizations move from a reactive to a proactive approach to dealing with COVID-19, they should ask themselves the following three questions:

  • Can we offer a version of our products and/or services through an online channel? Going online is the closest equivalent to low-hanging fruit in the current environment.
  • Can we use our existing infrastructure to produce products and/or offer services that are in demand?  Many organizations have allocated infrastructure to produce goods and services to support the fight against COVID-19, but some strategic companies would think beyond the crisis to future changes in consumer needs.
  • How can we rapidly increase our capacity to produce and distribute on-demand products and/or services?  Turning to partnerships with other companies can boost capacity in a crunch situation, such as today.

The need for collaboration, in such extraordinary situation, has also been underscored by the European Pharmaceutical Review. It pointed out - how academia, government and the pharmaceutical industry can work together to potentially ‘repurpose drugs’ for the treatment of COVID-19. This is another example of formulating a predictive growth strategy to create a win-win situation, while being in the midst of a reactive one.

Conclusion:

Meanwhile, despite national Lockdowns at a very early stage on March 24, 2020, India has now climbed up to occupy the fourth highest position in terms of the number of Coronavirus infected cases. Continuing the steep ascending trend, as on June 14, 2020 morning, the recorded Coronavirus cases in the country reached 321,616 with 9,199 deaths.

During the current global pandemic of a humongous scale, drug companies are trying to respond to rapid challenges across their business operations, right from planned R&D programs to effectively maintaining supply chain, including manufacturing activities. If the current COVID-19 pandemic lasts for medium/long term, there could also be significant delays in the execution of various other ongoing projects/programs. This was the analysis of Deloitte in a paper, titled, ‘COVID-19 response for Pharma companies – Respond. Recover. Thrive’

While the full impact of the Coronavirus pandemic is still unknown, adopting a predictive strategy in the prevailing overall reactive environment, is expected to yield a significantly better business performance. As I said earlier, the core difference between adopting a ‘predictive’ and a ‘reactive’ business pathway, under the circumstances, is akin to the difference between a leader and a follower.

Unlocking the value innovation in all areas of pharma business is the name of the game, for excellence. Leveraging Artificial Intelligence (AI) based contemporary ‘predictive’ tools will help pharma players break the new ground, even in such trying times. Coming from this perspective, a ‘predictive’ strategy rather than a ‘reactive’ one, apparently, is the demand of time – where we all are in – today.

By: Tapan J. Ray

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.

A New Pharma Marketing Combo Places Patients At The Center Of Business

As discussed in several of my previous articles, most pharma players need to walk the talk on ‘patient-centricity’, coming out of prevailing high decibel lip-service. This is not an easy task, and far from being every company’s cup of tea.

Effective implementation of patient-centricity by an organization, entails understanding of behavioral science by today’s pharma marketers. Many of them, I am sure, have already studied it in Business Schools. Be that as it may, by harnessing this scientific knowledge, the insights that they will acquire on primary and secondary pharma customers, will be unique. The important cues that will come out of the insights, will help them create well- targeted strategic marketing game plans having a cutting-edge. When implemented on an ongoing basis, this will help catalyze a win-win business environment, for reaping a rich harvest over a long period of time.

In today’s article, I shall dwell on the increasing relevance of an interesting combo of behavioral science – predictive analytics and patient-centricity, for a sustainable business performance. This is especially for the millennial pharma marketers to try and implement. With blessings from the top management, this model will help them jettison – the increasingly counterproductive – ‘gratification model’ of pharma business, imbibing ‘patient-centric ones’ – that patients themselves can feel and will appreciate.

The basic requirements to make it happen:

The basic requirements of the pharma companies to make it happen is to gradually move away from its core strategy of ‘buying prescriptions’ that often happens through contentious means. No doubt, it has the power to create a temporary strong brand push. But is definitely not sustainable, as these usually go against patients’ health and economic interest.

For a sustainable demand for a pharma brand, pharma companies would need to design a strong ‘brand pull’ in the new paradigm. This would prompt drug companies acquiring deep insights on how to leave a cherishing treatment experience with the patients for the brand. This would, consequently, have a strong-positive rub-off effect on the corporate image, as well. Likewise, a doctor would also like to know, how to create similar patient-experience with his treatment, to draw more of them in the future. This is diametrically opposite to generation of demand for a brand through ‘payment to doctors for prescriptions.’

Pharma marketer’s understanding of behavioral science is necessary:

This is because, it helps to get targeted deep-stick studies done on the way pharma customers, such as doctors and patients, behave. The span of the behavioral study should commence from the onset of a patient’s search for a disease treatment process, right up to when the individual gets an ‘after treatment experience’ – good, bad or average. It is, therefore, necessary for a drug company, to become more patient-centric, rather than self-serving, for achieving the desired goals of pharma business, consistently.

This wisdom would enable pharma marketers developing the following five broad insights for being ‘patient-centric’:

  • Understanding the process of thinking of a type or a group of patients about making their treatment choices. It could often mean not going for any treatment at all, or not adhering to prescribed treatment.
  • What makes patients behave the way they do, while undergoing a treatment?
  • Understanding both mental and physical feelings of patients while suffering from certain disease conditions, for effective engagement with them.
  • What type of holistic treatment experience the patients would value most to cherish.
  • What type of treatment experience the doctors would value most to provide to patients to enhance their practice and professional reputation.

While doing so, pharma marketers would need to clearly harmonize the two areas – one pertaining to doctors, and the other involving patients. This is important for the purpose of a clear focus on a comprehensive brand strategy formulation, based on well-analyzed data.

The key point to note, however – a creative blend of behavioral science with new-age pharma marketing tools can bring a sea change in the business performance of a company, along with providing a delightful treatment experience to patients with its drugs.

Generation of a huge pool of customer behavioral data is the starting point:

The first step of making a patient-centric organization is the generation of a huge pool of data on customer-behavior dynamics. That said, making predictions on the company’s customer behavior for future outcomes of the brand performance, from this data pool, would involve the use data analytics, which for this purpose will be ‘predictive data analytics.’

The use of ‘predictive analytics’ in pharma marketing:

In my article titled, ‘Data: The New Magic Wand For Pharma Business Excellence’, published in this Blog on October 01, 2018, I discussed the importance of well targeted data-based decision-making process, across the pharma functional areas. Taking this idea forward, let me explain here the critical role that ‘predictive data analytics’ can play in acquiring insights of the trend of behavior of the customers, especially patients and doctors.

Simply put, ‘predictive analytics’ is a type of advanced analytics, which are used to get deep insights and making well-informed predictions, based on both past and current data feeds. In pharma, especially for the subject that I am discussing, it pertains to insights on doctor and patient behavior related predictions, encompassing the entire span of a disease treatment process. Skillfully executed, this will strengthen, at least, two critical success factors in the pharma business:

  • Acquiring predictable insights on the targeted customers’ behavioral trend and pattern any given time-frame.
  • With such customer insights making the organization ‘patient-centric’ for more effective engagement with its customers.

Combining the above two points, I can well say, by analyzing a huge pool of data from behavioral-science-based information – ‘predictive analytics’ helps acquire deep insights on predictable customer behavior, with high precision. These are so useful, not just for better engagement with doctors, patients and other stakeholders, but also in making the organization patient-centric, in true sense. Nevertheless, many still question - Is ‘patients centricity’ really feasible in the pharma industry?

Is ‘patient centricity’ really feasible in the pharma industry?

This question was also raised in the 2017 paper titled, “Patient Centricity and Pharmaceutical Companies: Is It Feasible?” -  published in Vol. 51(4) of the Therapeutic Innovation & Regulatory Science (TIRS). The paper captures patient-centricity as integrated measures for listening to and partnering with patients, and placing patients’ well-being at the core of all business initiatives. It represents a holistic approach to the disease management process.

The concept brand-oriented patient-centricity is not too difficult to understand. But, I reckon, the difficulty lies somewhere else. It is to fathom where and how a pharma player can predictably add differentiating value, for those patients who need a right kind of treatment. That’s why, the question of feasibility of ‘patient-centricity’ is being raised.

There is no doubt that such an effort presupposes considerable insights on patients’ behavior, alongside the requisite expertise to predict these, for different time-frames, with a great degree of precision. This not an insurmountable task, either, particularly in today’s paradigm – with state-of-the-art ‘predictive data analytic’ tools. This prompts me to believe, it is very much possible to make a truly patient centric organization, assuming that there will exist a strong will to survive in the business and prosper!

Are ‘predictive data analytics’ different from other analytics?

Yes, the following two key points make ‘predictive data analytics’ quite different from other data analytics:

  • General data analytics usually help acquire insights on the past and present.
  • Whereas, predictive data analytics help looking at near-mid and long-term future, regarding most probable customer behavior pattern and trend, with great accuracy.

Currently, with the ability to generate relevant and real-time big data pool, together with application of machine learning, data-mining and statistical modelling – predictive analytics have the power to help acquire future insights. This insight is totally data-based, sans any gut-feel. Thus, effective use of this process can enable pharma players effectively predict trends and behaviors of doctors and patients for meaningful engagement with them for their chosen brands.

Has potential to create a win-win outcome: 

To ensure a game-changing payback from this process, crafty dovetailing of the following three steps, complementing each other is critical:

  • Generate a huge pool of real-time data on doctors’ and patients’ behavior pattern, for a pre-selected time-frame.
  • With the knowledge of behavioral science, help analyze them with predictive analytics.
  • Understand from the results, the trend of behavioral dynamics of selected customers from the brand perspective.
  • Frame rewarding business strategies to create a win-win situation, involving both – the pharma players and the patients.

Some pharma players are on the ball:

One of the key reasons for imbibing patient-centricity, is the proliferation of ‘me-too’ types of brands – both patented and generics. It has started happening even in the market of high-priced oncology medicines, with not much difference in price between them.

In this situation, predictive data analytic tools can help understand multi-variable relationship between patient’s needs, their interaction with physicians, the oncologist’s prescriptions to them, type of physician-engagement of drug companies and patients’ experience before, during and after the treatment. This is not an easy task, nor all pharma companies have wherewithal of doing this, to gain brand market share, significantly.

With predictive data analytics, many pharma companies are keeping eyes on the ball, using it in different business areas, such as drug discovery. But not many of them, are using this combo-approach to make a patient-centric pharma organization. It is just a matter of time, I reckon, that global pharma will decide to move in this direction – fortified with deep pockets, but with a battered reputation, and facing a hostile pricing environment, across the world.    

Conclusion:

Customer insights, acquired through the crafty application of behavioral science, have immense potential to make sales and marketing decisions more informed, than what it is today. In tandem, it will help create a ‘worth remembering’ treatment experience for the patients with the brand used.

From this perspective, I reckon, skillful application of behavioral science to generate a huge pool of data, and their analysis with ‘predictive analytics’ will go a long way to create a truly ‘patient-centric’ organization.

When executed by a well-integrated expert team of market research, medical affairs and pharma marketing professionals, this new marketing-combo-approach has the potential to fetch a game-changing performance outcome, placing patients at the center of business. The net gain to the organization will be much more than the sum total of what each of these steps can ensue individually – remarkably enhancing corporate reputation, in tandem.

By: Tapan J. Ray     

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.