Monday, November 28, 2011

3 ideas how “recommendation algorithms” could have a role in pharma marketing

Recommendation algorithms are best known for their use on e-commerce Web sites, where they generate a list of recommended items based on input about a customer’s interests.

When you compare two important measures of Web-based and email advertising effectiveness – click-through and conversion rates – these personalized suggestions perform vastly better compared to untargeted content (such as banner ads and top-seller lists).
 
From our pharma marketing viewpoint, I’ve been pondering the health, medical, and wellness applications of such recommendations:
  1. If you have this condition, you should pay attention to these associated risk factors.
  2. If you’re taking this prescription, you might consider this companion product/food to make it more tolerable.
  3. If you are seeing this kind of doctor, you could also benefit from these supportive healthcare services. 
Read more about these CRM-enabled Web messages on my Brand Liberator blog post at www.gsw-w.com/blog

1 comment:

Anonymous said...

Bonnie Feldman (@DrBonnie360)

Mark,

I have been asking the same question as a follow up to my research on mobile health games and online support for behavior change

http://www.mobihealthnews.com/offers_5/Mobile_Games_for_Health.php

There is some beginning hints at this question in the Quantified Self movement and again in the crowd sourcing companies such as Patients Like Me and Cure Together. I will be at the mHealth Summit in Washington pondering the use of these types of data analytics in healthcare.