At Hansa Cequity, we believe Analytical Marketing  will be the biggest competitive advantage enterprises will have in the next decade or two. Successful enterprises of tomorrow will be the ones who can organize and leverage customer information at speed ,to optimize their marketing performance, increase accountability, improve profit and deliver growth. Hansa Cequity insights will bring to you trends and insights in this area and it's our way of sharing best practices so as to help you accelerate this culture and thinking in your organization. We call this kind of an approach Analytical Marketing and we will constantly bring in "best practices" for improving your capabilities in Analytical Marketing.

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How to make information affect behaviour?

  
  
  
  

I read an interesting article on how data which is coverted into information affects behaviour. Most often, all data analyzed and presented as information to users or even to customers may not necessarily have the desired impact to affect behaviour.

Here are some interesting perspectives and points that we need to think to help present data in a manner that can seriously help people change behaviour: 

  1. Intuit/Mint are great examples of customers having their financial data(online) of where they spend their monies and how they invest & save. By uploading this data, do people change their behaviour to either spend less or save more? - Mint definitely believes so. According to Mint, they started as analysis tool but slowly progressed into providing insights to customers on their current behaviour and promoting actions that affect behaviour!
  2. The question really is if data can help change behaviour, how do we present this data so that it really has a telling impact on the customers/users who are using it?

       The idea data according to this article that can help this is:

      a. Passive data ( The user has nothing to do with this data)

      b. Non-invasive

      c. Real-time

      d. Focussed ( Like a dashboard with key metrics)

      e. Linked in real-time to the desired effect

      f. Simple to gain insight and understand

      g.Linked to private and personal benefits ( Weight loss/gain)

      h. Linked to public benefits ( Reduces carbon footprint)

      i  Quirky positive feedback

      j. Non-threatening negative feedback

      k. Socially connected to take advantage of human nature

This led me to think how we present various data to our stakeholders across businesses and user departments today. We still have a long way to go especially given the fact that discovery of insights after mining the data, needs to be presented well for it to change behaviour across an organization. Also, if we want customers to either buy from us more or recommend alternative products or services, it needs to be done a lot more intuitively by presenting the facts & insights well to get them to consider our recommendation.   

 

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