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Blog, Comment & Insight

For Pharmaceutical Marketing Analytics

How to Get the Business Results You Want from Your AI Initiatives

Most pharma companies have invested something, if not a significant amount, in some kind of artificial intelligence (AI) initiative. However, not all companies are getting the returns they anticipated. A report from MIT Sloan Management Review of over 2500 executives found that 7 out of 10 had minimal or no gains so far from these initiatives.
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Where is AI Heading in Healthcare in 2020? Part 2

In part 1 (click to access part 1) of this article I examined human collaboration, marketing personalization, AI becoming creative, and AI running within medical devices. In part 2 we examine some more areas we could see more focus on AI in 2020.
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Where is AI Heading in Healthcare in 2020? Part 1

The use of AI in healthcare has increased considerably in recent years due to the more widespread availability of big data. However, despite significant investment, most have yet to realize its full potential.
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Why AI will soon be indispensable for pharma sales teams

on Oct 16, 2019 3:09:29 AM By | Dr. Andrée Bates | 0 Comments | Sales Force Effectiveness Marketing Effectiveness
We have the technology … We can make him better than he was.  Better, stronger, faster.
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Can Artificial Intelligence Increase Sales Productivity in Pharma?

on Sep 23, 2019 4:05:21 AM By | Dr. Andrée Bates | 0 Comments | Sales Force Effectiveness Marketing Effectiveness
If your reps aren’t hitting their sales quotas, you are not alone. Timetrade report[1] that since 2007 sales quota have risen by 33% while the percentage of reps hitting their quotas has fallen by 25%. And according to Aberdeen[2], two-thirds of sales reps fail to meet their annual sales quota goal. The problem could be that they have too many tasks keeping them from actually engaging their prospects.
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16 Examples of Successful Applications of Artificial Intelligence in Pharma Marketing Part 3

Part 1 of this article can be found here. www.eularis.com/blog/16-examples-of-successful-applications-of-artificial-intelligence-in-pharma-marketing-part-1 and Part 2 can be found here www.eularis.com/blog/16-examples-of-successful-applications-of-artificial-intelligence-in-pharma-marketing-part-2  
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16 Examples of Successful Applications of Artificial Intelligence in Pharma Marketing Part 2

Part 1 of this article can be found here. www.eularis.com/blog/16-examples-of-successful-applications-of-artificial-intelligence-in-pharma-marketing-part-1 I will continue listing examples to stimulate your mind as to what can be done, and has been done, with AI in pharma sales and marketing. The examples in this article series are by far not the only ones and only the tip of the ice berg.
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16 Examples of Successful Applications of Artificial Intelligence in Pharma Marketing Part 1

I recently presented the plenary session at the ePhMRA annual conference in Warsaw. Covering how AI is transforming pharma sales and marketing, I provided examples Eularis had completed for pharma client projects.   Several of the attendees sent me emails afterwards wanting to know more about the specific examples I gave, which were as varied as our client product needs. It was interesting to learn how few of these types of applications they were familiar with, and I thought the readers of this blog would want to know about them, too.   I’ve written about many of these topics before, and I’m including those links at the end of each section in case you are interested in digging deeper into a specific topic.
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Which Segmentation Method Will Yield the Strongest Business Results for Your Brand?

Customer segmentation has always been something pharma have implemented. But until now the most common traditional approaches were either based on how much of your brand they use, or by personality profile or market research response, or by demographics, or a combination of these.
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How to Use AI to Create Value for Physicians, Not Just Target Them

You may have read my blog about predictive precision targeting and how, by using big data and Artificial Intelligence, we can identify which physician has the potential to write a script for your product this week (or even today), which physician has the highest potential number of patients who need your product and even which physician is a priority to see this week.
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