Competitive Intelligence

Traditional Marketing Engagement in Pharma: A Background Excellent customer experiences are a key driver of business value in life sciences companies. However, pharma companies are yet to take advantage of this trend. Most struggle to offer a consistent level of engagement across digital and non-digital channels and face an uphill challenge for relevance. Marketing methods…

Introduction: Understanding Pharma CI Conferences Medical and scientific conferences are intersection points for industry dialogue and pharma company announcements. The interaction with KOLs makes such events important sources of primary and secondary competitive intelligence. Pharma companies participate in conference coverage by attending symposiums, oral, poster and booth sessions that gauge competitor positioning and messaging. They…

Competitor Monitoring in Pharma: Background The pharmaceutical organizations are facing a double whammy since the need for rapid innovation has been fuelled by evolving treatment landscapes and patient needs, and patent expiry for approved drugs. The need to keep the pipeline rich and strong has driven fierce competition in the industry. This in turn requires…

Background: Traditional Data Journeys in Pharma CI Drug companies are constantly driven by the need to innovate, discover drugs, and market them seamlessly globally. With average drug life cycles spanning two decades, right from the drug development, approval and commercialization, commercial competitive intelligence (CI) poses unique challenges. Traditional CI research includes practices such as wargaming,…

Background to CI Platforms and Team Structure in Pharma Historically, strategy teams must deal with unfathomable amount of data and it’s not just a competitive intelligence (CI) platform that does the trick in processing the data for insights. The structure of CI teams is also very crucial here in the way data is managed. The…

Background to AI implementation and Use in Pharma Pharma companies have traditionally leveraged artificial intelligence (AI) and machine learning for drug manufacturing, R&D processes in drug discovery and clinical trials. According to the Mckinsey Global Institute, AI, and machine learning in the MedTech and biopharma domain could generate nearly $100 billion revenue annually in the…

Background to Traditional Competitive Intelligence Solutions in Pharma With the onset of the pandemic, the pharmaceutical marketplace has seen a lot of turbulence that was unseen in the past. As biotech firms strongly compete to keep their product pipeline competitive in the face of rapid innovation, heavy demand, changing patient needs, stringent regulatory and patent…

If you want to win in a competitive pharma market, you need a best-in-class competitive intelligence (CI) program which includes – tracking and analyzing information related to your competitors with the intent of empowering internal stakeholders to generate insights that can facilitate the decision-making. To have a best-in class CI program, you need to have an efficient…