Blog, Comment & Insight

For Pharmaceutical Marketing Analytics

Are Alexa and Siri the Future of Data Analytics in Pharma Marketing?

Pharma marketers have access to more data than ever before. Big data can bring together patient registry data, social media data, claims data, sensor data, CRM data and a wide array of other big data sets. And technology has advanced to be able to sort through this vast information.
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Using Artificial Intelligence to Improve Patient Adherence Results and Patient Outcomes

Pharmaceutical companies spend a significant percentage of their marketing budgets to capture initial market share. Since the majority of spend goes towards attracting new customer, efforts at retaining existing customers are given short shrift, with a paltry percent of budgets focused on these. By focusing mostly on new customers, companies are missing a valuable opportunity to increase sales and market share.
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Predictive messaging, Big data & Artificial Intelligence: how to personalize multi-channel pharma marketing

People make decisions quickly online. They are bombarded with content and messages and so if your message is not right for them at that point in time, the journey you are aiming to lead them on will not be started. The marketer has numerous channels to utilize for their various messages but each customer will need different focus from the messages, and different channels to go through in a different sequence to be most engaged and get to believe in and become loyal to your brand faster.
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KOL Identification and Mapping: Can Big Data and AI Confer Stronger Results Than Traditional Approaches? Finding Those Who Matter Using Artificial Intelligence

Key Opinion Leader Mapping is an integral part of pharmaceutical marketing. Despite pharma being the most knowledgeable about their products, a respected third party physician is often a preferred source of information for other physicians as it seems more independent. The success of many drugs is dependent on the views of the key opinion leaders in their therapy area. So pharmaceutical companies all invest a lot of time in ensuring that they map all the thought leaders in their therapy space. 
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Is Your Launch Planned for Success?

on Feb 11, 2018 4:37:28 AM By | Dr. Andrée Bates | 0 Comments | Marketing Insights Pre-Launch Planning Launch Success
Launch teams understandably have concerns when the launch happens and these concerns are not unfounded given the number of launch failures in recent years. Nearly half all pharmaceutical launches underperform the expectations set internally and by industry analysts. Even meticulously planned launches are failing, but if it is failing, teams that turn this around are prepared to quickly change direction and reprioritize based on results. When planning your next launch, here are a few things to keep in mind.
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Cancer Blood Test Using AI Improves Detection in Early Stage Cancer

on Feb 2, 2018 4:43:02 AM By | Dr. Andrée Bates | 0 Comments | Marketing Insights Advanced Analytics Clinical Trials
The CancerSEEK liquid biopsy (bloodtest) detects small amounts of DNA and proteins released into the blood stream from cancer cells to then indicate the presence of different types of cancer including ovarian, liver, stomach, pancreatic, oesophageal, bowel, lung or breast. It can be used even prior to any signs of cancer for early detection. It uses AI for prediction and reliably detects early stage cancer. The study was published in Science, and the research was led by a team from John Hopkins University, with collaboration from Australian scientists at the Walter and Eliza Hall Institute.
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Utilizing the Power of Chatbots in Pharma Marketing

My first experience with chatbots was in the 90’s with Eliza but chatbots have come a very long way since then. Everyone has experienced using Siri or Cortana or Amazon Alexa, or Echo. The experience is familiar now, and useful, as the increasing use of these takes hold across many areas of our lives.
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7 Ways to Leverage AI for Stronger Pharma Marketing Results

Pharmaceutical marketers are starting tentatively to utilize AI in their sales and marketing activities which is a big improvement on 5 years ago. At that time, we were utilizing AI with some clients and I would ask others how they saw AI as having a role in their work and the response was usually ‘It doesn’t, does it?’. It does. There are so many applications of AI in pharma and every project we do unveils new and interesting applications of AI to enhance our pharma client results. Here are a few examples.
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What Will 2018 Hold for Pharma?

With 2017 in our rearview mirror, thoughts now turn to 2018 and what lies ahead. Here are some possibilities for 2018.
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Predictive Physician Targeting: Are You Missing Out on Valuable Prescriptions?

on Dec 12, 2017 4:08:39 AM By | Dr. Andrée Bates | 0 Comments | Marketing Insights Advanced Analytics Business Analytics Big Data
A recent project we did in predictive physician targeting, and discussions with several others, has made me realize how many companies are still relying on historical information to make physician targeting decisions. Up till now, the client had physicians in the call plan that are believed to be valuable, and historically they have been valuable. But the market is not about yesterday, it is about tomorrow. We are fortunate today that the data available allows us to make more precise predictions about tomorrow using AI.
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