Rebalance KOL-Mix As Covid-19 Redefines Pharma Marketing

‘It’s safe to say that 2020 was a year like no other and that 2021 will certainly not revert back to the old normal,’ reiterated the Harvard Business Review Article - ‘10 Truths About Marketing After the Pandemic,’ of March 10, 2021. Amid Covid 2.0, several astute pharma marketers, I reckon, have also realized the same by now. The recent Government announcement on the impending third wave of Covid-19, coupled with slow vaccination pace in the country, further strengthens this possibility.

That said, making all internalize that pharma marketing, and specifically the brand building process will no longer remain – as it traditionally was, may still be a tough task. Mere digitalization of the traditional marketing processes won’t be a magic wand, either, to excel in the rapidly transforming market situation. The task ahead is fundamentally cerebral – ahead of any Artificial Intelligence (AI) tools and applications.

With the market dynamics going through a metamorphosis, pharma marketing needs to be redefined. Capturing the nuances of this redefinition is essential also to ensure the right focus on the right Key Opinion Leaders (KOLs) – for successful branding with long-term image building. Today’s article will focus on this less charted area during the pandemic. Let me begin with a few examples of the redefined areas of marketing triggered by disruptive changes in the current pharma business environment.

Traditional pharma marketing axioms need to be redefined:

To give a flavor of this redefinition, I shall pick up the following two examples from the above Harvard Business Review Article and then zero-in on just one, to explore the recasting and rebalancing need of the KOLs, for business excellence in the new normal:

A.  Technology and human enablement:

Pre-pandemic belief: The right tech stack to drive modern marketing success.

Post-pandemic need: The right balance of factors (including tech stack) to drive modern marketing success.

In pre-pandemic days, focus on “tech stack” was emerging as an end-all game changer for marketing. But in the pandemic days there emerges a need to take a step back. The right approach to human enablement is becoming the key to properly understand the changes and their implications in the pharma business environment. Human enablement includes, making sure that people have the right skills to select and employ the most appropriate environment specific technology tools, effectively. The system should also ensure that the right measurement approaches are in place to motivate innovation and rewarding success.

B.  Relationship building to drive marketing success

Pre-pandemic belief: Relationships matter to drive marketing success

Post-pandemic need: Relationship building is everything to drive modern marketing success

Building relationship with customers rests on the bedrock of trust. Covid-19 has placed a new emphasis on relationships, faced with a near virtual sales environment. New findings indicate, the teams with existing relationships have been able to maintain revenue momentum, capitalizing on the strength of their prior bonds. In contrast, prospecting for new customers has required an evolved set of skills focused on selling solutions, not products, as the Harvard Business Review Article emphasized.

Trust, credibility, and integrity are fundamental to driving market momentum. These are foundational to the value exchange between a company and a consumer. As the Harvard paper writes, this has necessitated ‘a serious recasting of talent to identify people best suited to driving relationships in this new world of online interactions — a world that relies less on charm (and even an expense account) and more on insights and solutions. Trust will be built by and rewarded to those that listen to customer needs and then craft solutions to meet those needs.’

Thus, I believe, in the redefined pharma market, the marketers need to have a fresh look with fresh a pair of eyes to expand and select their KOLs to achieve their business goals – consistently, in the years ahead.

Pandemic impacted pharma’s KOL outreach:

Pharma marketers are well-aware how much they rely on their KOLs in several areas of a brand building strategy, including the creation of widely acknowledged brand reputation, winning key stakeholder trust on brands.  Thus, a robust strategy for engaging with stakeholders – based on KOL inputs, continue to remain an area of paramount importance for drug companies.

From this perspective, as I wrote before, during the early days of national lockdown triggered by Covid-19 pandemic, many marketers felt that in-person KOL outreach activities in physical events have only got disrupted temporarily. As the disruption prolonged, some companies hurriedly shifted online. Others hopefully kept waiting for some more time, and then tried to figure out how to catch up quickly by switching over to a more effective, interactive – and situation-specific contemporary communication channels and platforms, for them.

Marketers require recasting their KOL outreach strategy:

No doubt, KOL engagement remains a high priority area for pharma marketers - for guidance with fresh inputs while charting a new marketing pathway, mainly based on their:

  • Therapy area expertise where the company represents, and the sphere of influence
  • The span of influence to further business progress, gaining stakeholder trust and building brand reputation.

As the market environment and stakeholder expectations have altered significantly, in several marketing related areas, pharma marketers require quickly recasting their KOL outreach strategy, including virtual communication models and platforms. Many may consider, for valid reasons, though, that virtual events may not be as effective as effective as F2F physical events.

Notably, some well-researched digital outreach strategy for the KOLs – tailor-made according to their new expectations in the changing market dynamics, are trying to fetch the best out of them. The new initiative is also improving the effectiveness of virtual interactions manifold, steadily – with the ongoing honing of the processes. However, this would involve fresh mapping, and identification of a contemporary set of KOLs, soon, with in-depth understanding of their needs and interests.

Pharma KOL-mix need to include ‘influencers’ also:

Just to recap, KOLs are experts in their respective fields. Each one of them is also a well-regarded and influential voice, whose expert advice is respected and followed by many others – related to that field. These may include authorities in the same industry, whose opinion or decisions may have significant influence or impact on the business. In that sense, KOLs play the role of influencers, too.

Traditionally, in the drug industry KOLs are selected from accomplished and well-decorated medical experts who are often early adopters of new brands, playing a significant role in the prescription decision of other doctors.

Leveraging two other key roles of KOLs in the changing environment: 

The other two roles that need to be leveraged by pharma companies in the in the changing environment may include:

  • Making more people aware of the critical roles of pharma brands, e.g., what people have witnessed recently with Covid-19 drugs and vaccines.
  • Improving brand credibility and corporate reputation by gaining stakeholder trust. This is usually triggered a favorable word-of-mouth awareness of the role that the company is playing to save and improve the quality of human lives – and, in that process, the livelihoods.

This gets reflected in the most recent annual Axious Harris 100 survey, where two widely publicized Covid-19 vaccine makers – ‘Moderna and Pfizer leaped into the top 10 best-regarded companies in the U.S,’ among all other industries. This clearly highlights ‘Americans love their vaccine makers’. As reported, Moderna ranked third, while Pfizer featured at No. 7 on the strength of its product and innovation scores, nabbing high marks for vision and culture along the way.

‘They’re the first biopharma companies to crack the top 10 in the ranking’s 20-year history.’ Interestingly, Johnson & Johnson, which featured in the top 10 before; this year, it ranks 72 on the list with a reputation score roughly the same as 2020’s,’ the report adds.

KOL outreach needs to be more focused and well-targeted on even niches: 

This is an important need and has been vindicated by Deloitte focus group studies in the U.S., India, South Africa and the U.K and published on May 06, 2021. The studies found that the pandemic did improve overall pharma reputation score with a ‘reason to hope for more.’

However, still many respondents used phrases like, “profit-making” and “harmful”, as reasons of why they don’t trust pharma. Curiously, in the U.S., 29% of people cited “questionable moral integrity of biopharma executives” as a problem. Only about one-fourth (26%) of participants agreed that their trust in drug makers increased during the pandemic, even when Deloitte mentioned vaccine development.

Conclusion:

To mitigate such reputation, trust, and credibility related issues, besides transparency in drug pricing, besides efficacy and safety related research-data, pharma needs to work closely with a wider span of KOLs, who may help in explaining complex science in simpler words.

As the above Deloitte studies bring to the fore, the pandemic could be yet another fresh starting point for pharma to gain long-term trust of customers, and other stakeholders. In that endeavor, a fresh set of KOLs need to be identified through well-structured mapping. This initiative should ideally include, besides top medical and regulatory experts of high repute, globally acknowledged academics, top domain experts, and key members of the government.

Thus, in my view, as the pandemic redefines pharma marketing, there is an important need of rebalancing the KOL-mix of each company, based on their specific needs, especially in the virtual space, as the situation will unfold.

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.

 

Disruptive Impact of AI on Pharma Sales And Marketing

Artificial Intelligence (AI) that refers to the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem solving and decision making, is poised to disrupt our world. Initially conceived as a technology that could mimic human intelligence, AI has evolved in ways that far exceed its original conception. This was articulated in the June 2018 Discussion Paper, titled ‘National Strategy for Artificial Intelligence’ of NITI Aayog, India.

The paper further highlights: With intelligent machines enabling high-level cognitive processes like thinking, perceiving, learning, problem solving and decision making, coupled with advances in data collection and aggregation, analytics and computer processing power, AI’s capability has dramatically expanded. So is its game-changing utility in a growing number of fields to enhance productivity – dramatically.

I also expressed this need in my article, “Indian Pharma To Stay Ahead of The Technology Curve,” published in this Blog on May 22, 2017. Nevertheless, despite galloping progress of AI, a kind of ‘Ostrich Syndrome’ still prevails in some sections of the industry. This attitude, if continues, may catch many drug companies off-guard, with serious repercussions on business. In this article, I shall focus on the possible impact of AI on pharma business, specifically on pharma sales and marketing, instead of being prescriptive in my deliberation.

A disruptive impact on pharma value-chain:

Currently, only a few drug companies have embraced AI-driven technologies to transform pharma value-chain elements, across functional areas of the organization. However, in the next few years, effective adaptation of AI, in the true sense, will be the key success factors for any player – nurturing a burning desire to succeed, consistently. This was, again, an important conclusion of the 2019 FICCI Report titled, ‘Use of Artificial Intelligence and Advanced Analytics in pharmaceuticals.’

While explaining its rationale, the report emphasizes – catalyzed by an exciting range of new, disruptive technologies a paradigm shift is taking place, challenging the status quo with the traditional pharma business model. AI is in the process of disrupting this status quo, especially in the following two areas:

  • Increasing stakeholder pressure to reduce costs and demonstrate greater value of drugs,
  • Evolving swing from treatment to prevention, and patient-centric treatments.

Prompts a critical need to re-imagine the future:

These inevitable shifts prompt a critical need to re-imagine the future, for each drug manufacturer. However, the good news is, some of them, predominantly the global ones, have started making sizeable investments on AI. On a deeper scrutiny, the FICCI paper finds that applications of AI are mostly taking place in the new drug discovery and the supply chain area.

Besides individual company initiatives in the R&D area, important collaborative arrangements on AI with academia, have also been announced, such as, ‘Machine Learning for Pharmaceutical Discovery and Synthesis Consortium (MLPDS). This is a collaboration between the pharma/ biotech industries and the departments of Chemical Engineering, Chemistry, and Computer Science at the Massachusetts Institute of Technology (MIT).

MLPDS is expected to facilitate the design of useful software for the automation of small molecule discovery and synthesis. As on July 02, 2019, reportedly, ‘33 Pharma Companies Using Artificial Intelligence in Drug Discovery.’That said,let me hasten to add that some companies are also testing the water, with all seriousness, in pharma sales and marketing functions. So, the AI wave is fast catching up, driving the drug industry to chart uncharted frontiers. In this scenario, would there be any scope of survival for laggards?

Should it happen faster in pharma sales and marketing, as well?

In my view, the answer is an emphatic ‘Yes.’ This is primarily because, the disruptive impact of AI won’t be any less in pharma sales and marketing. It will, therefore, be prudent for these professionals, not just to understand how AI works in their respective functions, but also the ways to effectively use various AI platforms and applications, to transform the traditional processes, fundamentally.

Moreover, when stakeholders, including patients, doctors, hospitals, health insurance companies and even governments, are directly or indirectly using a host of AI-enabled tools and applications for better outcomes, does pharma have any other option?

Areas in which the impact could be transformative:

The recent publication titled, ‘Boosting Pharmaceutical Sales and Marketing with Artificial Intelligence’ of ZS, analyzed this issue quite well. It emphasized, those functions in the drug industry where there exists a significant reliance on human functions, such as expertise and reasoning, the impact of AI can be transformative.

Sales and marketing are two such focus areas, besides other functions. Companies that use AI to orchestrate a cohesive customer experience, will drive stronger differentiation, better customer access and higher sales impact, the report highlighted. Thus, creating specific opportunities and requisite empowerment, are necessary for deserving people, to foster machine learning and human integration in sales and marketing. This, in turn, will help them gain insight into how to unleash the power and value of AI for achieving business excellence.

Some early adopters of AI in sales and marketing:

Recent reports indicate that some global pharma majors have started using AI in sales and marketing. Let me illustrate this point with two examples – Pfizer and Novartis.

In May 2017, Pfizer Australia, reportedly, adopted AI-powered digital analyst tool for sales and marketing decision making.This ‘What-if Simulator’, allows Pfizer to test and optimize a range of scenarios based on internal and external data sets. It helps simulate the impact of sales and marketing strategies, investigate assumptions and hypothesis difficult to test in the real world, and compare the outcome of various what-if scenarios in order to understand what’s contributing to business results. According to Pfizer, ‘the software will also help to understand deterministic and non-deterministic factors presented in its business operations, as well as see how variables within different questions impact one another’.

Another recent media report titled, ‘Novartis puts AI on the job to help reps say the right things to the right doctors,’ appeared in Fierce Pharma on January 09, 2019. It also confirms the keen interest of pharma in this area. Called “virtual assistant,”this application helps salespeople to make sure when they visit a specific doctor that they are talking about exactly what that doctor is absolutely interested in. “When you turn up at the right time with the right things to say, they’re more interested and put more value in it, and our people like the fact that AI is running in the background helping them plan their day,” Novartis official further elaborated.

Accept the dictum – ‘there is always enough room for improvement’:

Following this dictum, is the starting point for pharma marketers to seriously accept AI as a game changer in this industry, regardless of how successful the company is – in doing what they do, following the traditional business models. The core purpose of a drug company is to make sure that patients get what they want, in those disease areas where the company represents.

If a brand strategy is prepared based on research data collected a few months back, there could probably be a flaw in your strategy. This is because any recent offering to patients by a competitor, may have considerably changed what the patients want now. If a strategy is not based on virtually real-time information on what exactly the customers are looking for now, the result could be far from satisfactory.

The elements which are critical in creating ‘great brands,’ were nicely captured in the May 13, 2019 issue of Customer THINK on ‘AI in Digital Marketing.’ It articulated, ‘Great brands will be those that can think creatively, design effectively, and execute flawlessly to deliver seamless experiences woven together by machines and humans.  Using this approach, marketers and their marketing machines will stay gainfully employed.’ Thus, creative application of AI by astute pharma marketers will help achieving this goal.

Will AI ultimately replace pharma sales and marketing people?

This is a lurking fear in the minds of many. A related article appeared in the pharmaphorum on July 02, 2019, also wrote about a similar apprehension. The paper is titled, ‘Will AI make pharma marketers obsolete?’ It said: ‘Artificial intelligence, is sometimes seen as either a panacea or a destroyer – the fix for all humanity’s problems, or the apocalyptic scourge that will turn on us.’

I too reckon, AI can never replace people in pharma sales and marketing operations. This is because, there are two distinct elements in both these functions. One, the creative power of a professional that creates, develops, hones, and executes new ideas, strategies. It even decides how effectively AI can be used. The second element is the technological power behind AI. This can carry out a host of different very important, but routine and repetitive tasks – with a great amount of precision and virtually flawless. As the key sales and marketing professionals will need both, the AI can’t completelyreplace people in these two critical operational areas.

Some uses of AI in sales and marketing:

Eularis, in its ‘Blog, Comment & Insight’ of January 15, 2018, deliberated on this area. Just to give a feel of possible use of AI in different very important, but routine and repetitive tasks – with a great amount of precision, I am summarizing some of those points, as follows:

  • ‘Identification and Mapping’ of’ Key Opinion Leader (and up-and-coming Key Opinion Leader), which is constantly changing. Alongside, it can help scan and analyze all relevant journal articles, coming out each week, besides the same for ongoing clinical trials in the chosen field – flagging how changes and new additions can impact the KOL database.
  • Disease specific patient identification and physician targeting, especially in rare disease areas.
  • Helps identify individual preferences for content, channels and timing of information, that leads to allowing personalization at scale, and ensuring every customer is receiving what they want, when they want, and in the channel they want.
  • Facilitates utilizing the power of big data, AI tools and apps to identify which patients will cease adherence and how this can be addressed, thereby minimizing the loss of business for non-adherence.
  • Helps create custom messaging for sales reps to use for individual physicians based on what that physician needs at that particular moment in time.

Conclusion:

Use of AI-based technology in the pharma industry, basically means automated algorithms with the capability to perform all those tasks that are now being done mostly with heavy dependence on human intelligence. Thus, its possible use spans across almost all functional domains – from drug discovery, clinical development, supply chain and right up to sales and marketing.

Although, it is still challenging to figure out to what extent AI will transform the industry, one gets a strong signal that it is not just another ‘buzz word’ or a new kid on the block. The technology is surely spreading its roots across the health care space, pharma being an integral part of it. Which is why, according to ‘Executive Insight’ (Volume XX, Issue 60) of  L.E.K. Consulting, ‘all of the largest 10 pharmaceutical companies are investing in AI, and developments in applications are occurring across the spectrum of pharma business.’

In fine, to fathom the disruptive impact of AI on pharma business, I shall conclude by quoting from March 18, 2019issue of Healthcare Weekly. After a thorough analysis, the paper acknowledged thatAI is already redefining biotech and pharma. It concluded by stating, ‘ten years from now, pharma will simply look at artificial intelligence as a basic, every day, technology. The only question is how long pharma executive will wait till they jump on the wagon and leverage AI to improve their operational efficiency, outcomes and profits.’

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.