Influence of Gen AI on Pharmaceutical Marketing – Now and in Five Years – Asrar Qureshi’s Blog Post #1088

Influence of Gen AI on Pharmaceutical Marketing – Now and in Five Years – Asrar Qureshi’s Blog Post #1088

Dear Colleagues! This is Asrar Qureshi’s Blog Post #1088 for Pharma Veterans. Pharma Veterans Blogs are published by Asrar Qureshi on its dedicated site https://pharmaveterans.com. Please email to pharmaveterans2017@gmail.com  for publishing your contributions here.

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Preamble

It is a foregone conclusion that the Generative Artificial Intelligence – Gen AI or simply AI – has already started influencing every walk of life. The pace of change is so rapid that it has become difficult to keep adjusting with it. But we must keep pace with the changing landscape to survive respectably or risk to be perished.

In this blog post, we see how AI has already influenced pharmaceutical marketing. We shall also try to visualize the next five years and the possible changes that might be coming.

My reference is not strictly local landscape because most pharma companies here are either not doing marketing or still sticking to the old guns that are rusted and cannot fire.

I would go a step further and raise the question as to what IQVIA is doing to incorporate AI features in its offerings. IQVIA, as you know, is the compiler and publisher of pharmaceutical market statistics.

Current Influence of AI on Pharmaceutical Marketing  

Artificial Intelligence (AI) is already transforming pharmaceutical marketing in several ways, making it more data-driven, personalized, and efficient.  

Personalized Marketing & Targeting

• AI-powered analytics process vast amounts of patient and physician data to identify precise target audiences for drugs. Pharma industry already has a tradition of targeted work. The products are pitched for seasons, indications, and specialties. However, this is based on general understanding rather than data analysis. The marketing departments mine information from the IQVIA data, but it is quite expensive and not many companies can afford it. 

• Machine learning models predict prescribing behavior, enabling pharma companies to tailor marketing messages effectively. This needs to be incorporated into working. It is a pity that even large pharma companies do not invest in genuine hardware and software which they should in order to get optimum output.

AI-Driven Content Creation & Optimization

• Natural Language Processing (NLP) tools generate highly targeted medical content for healthcare professionals (HCPs) and patients. Content creation is now fast shifting to AI. Apparently, content created by AI appears to be good in quality and id therefore readily accepted. Alternatively, a basic content created by AI can be further refined and improved manually.

• AI personalizes content delivery based on physician preferences and browsing behavior. This is an area where local industry is still not geared properly, for two reasons. One, most physicians do not use internet for getting information; two, the biggest means of communication is WhatsApp. The companies and salespersons are using WhatsApp to send product messages and reminders. The use of WhatsApp cannot be employed to get any qualified information.

Chatbots & Virtual Assistants

• AI chatbots provide instant responses to HCPs and patients, offering drug information, clinical trial updates, and medical guidance. Though the developed countries are already into it, we are far behind. And we do not trust virtual assistants and chatbots generally.

• Virtual medical representatives enhance engagement without requiring in-person visits. Long shot for us here. Our pharma industry is a labor-intensive industry and most of our physicians also seem to have people in real to talk to, not the virtual alternatives.

Predictive Analytics for Sales & Marketing

• AI models analyze prescription trends and market dynamics to help sales teams prioritize outreach efforts. This is a very productive area and must be fully exploited to get better results.

• Sentiment analysis on social media and medical forums helps gauge public perception of drugs. Our DRAP still wants to keep drug information and public far away, and do not want to allow even for educational purpose. 

AI-Powered Drug Launch Strategies

• AI predicts launch success by analyzing historical data, market access barriers, and patient demographics. It is time to dive more deeply rather than using the old book methods. 

• Real-time feedback loops adjust marketing strategies dynamically based on physician and patient responses. Even for generic drugs, it is important to establish feedback loop and respond in real time.

How AI May Change Pharmaceutical Marketing in the Next Five Years

The role of AI in pharma marketing is likely to expand significantly, with new advancements reshaping engagement strategies and business models. It may sound far-fetched to our local pharma industry whose top layer is still dominated by conventional old guard, but as they say, nothing can stop the idea whose time has come. We have seen numerous examples of this already, particularly in the digital space. Some of the predictions from international literature are more relevant to research products, while others apply to all. The developed countries shall be taking maximum benefit from these while we may or may not.

Hyper-Personalized Marketing with AI & Genomics

• AI-driven precision marketing will integrate genetic and biomarker data to target patient populations more accurately.  

• Digital biomarkers and wearable device data will enable pharma companies to provide personalized treatment recommendations.  

AI-Generated Real-World Evidence (RWE) for Marketing

• AI will analyze real-world data (patient outcomes, electronic health records, insurance claims) to validate drug effectiveness.  

• Pharma companies will use RWE insights for more credible marketing messages and regulatory submissions.  

Autonomous AI Sales Reps & Virtual Pharma Events

• AI-driven digital sales reps will engage HCPs via interactive and voice-based AI systems, reducing reliance on traditional salesforces.  

• AI-powered virtual conferences and webinars will provide immersive, data-driven learning experiences for physicians.  

AI-Enhanced Regulatory & Compliance Management

• AI will automate compliance monitoring to ensure marketing content aligns with evolving regulatory standards.

• Smart algorithms will flag misleading claims, reducing the risk of regulatory penalties.

Predictive AI for Market Expansion & Competitive Intelligence

• AI will forecast emerging drug demand in untapped regions, helping pharma companies refine global marketing strategies.  

• Competitive intelligence AI tools will track competitors’ drug launches, pricing strategies, and clinical trial developments.  

Sum Up

AI is revolutionizing pharmaceutical marketing by making it more precise, efficient, and patient-centric. Over the next five years, AI’s role will expand further, enabling hyper-personalized engagement, autonomous sales interactions, and real-world data-driven strategies. Pharma companies that embrace AI-driven marketing will gain a significant competitive edge in an increasingly digital healthcare landscape. It is for us to choose which side we shall be on in the time to come. 

Concluded.

Disclaimers: Pictures in these blogs are taken from free resources at Pexels, Pixabay, Unsplash, and Google. Credit is given where available. If a copyright claim is lodged, we shall remove the picture with appropriate regrets.

For most blogs, I research from several sources which are open to public. Their links are mentioned under references. There is no intent to infringe upon anyone’s copyrights. If, however, it happens unintentionally, I offer my sincere regrets.