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“… this mirror will give us neither knowledge or truth. Men have wasted away before it, entranced by what they have seen, or been driven mad, not knowing if what it shoehs is real or even possible.”
J.K. Rowling. - Harry Potter and the Philosopher’s Stone.
Internet and others electronic distributions medias have blurred our old market segmentation approach.
The users are no more organized in discrete market segments. Rigth now each one of us belongs to multiple long tail distributions so it is almost impossible to fit all our criteria in singled market pattern. Even worse each market category has a fuzzy frontier. The customer information provided by market is becoming white noise.
As a social networkers, people are changing their patterns of participation from active to more passive participation. Social networkers are now in their niches with a small and local activity. They are waiting for the market proposal coming from the network. So here we have a very lazy and highly exigent user. Producers need to discover what these social networkers want and the only clues they provide to us are a small and local activity.
The customer space is becoming a continuous, so it clusterizaton is no more a discrete function.The only opportunity to satisfy the custommers requierements is to find out what they want. There are two options:
- Convince them (the customer) that our proposals are good or
- Help them to build their own proposals
If we accept the second option we have to figure out how to map the product description specified by the sellers with each customers preferences. I think that there is onother solution: proactive discover of products description: analyzing individual customer to discover products with enougth demand to make it profitable.
So the questions is Can we apply the wall street performer protocol to build a user characterization?