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Youneeq is a Technology Trend

Murray Galbraith's picture
Submitted by Murray Galbraith on Fri, 04/12/2013 - 09:01

Check out this link to top trends for 2013 submitted by JWT inteligence. This is one of many reports that highlights predicitve personalization as being integral to winning the user engagement and revenue race on the internet.

Big Data Revolution

Murray Galbraith's picture
Submitted by Murray Galbraith on Thu, 02/21/2013 - 13:19

BIG DATA REVOLUTION

Web publishing and E-Commerce is going through a profound change. Rules and aggregated based technologies are simple ineffective when it comes to handling big data and getting the right message and products to the right people at the right time. Only an algorithmic approach is able to generate the data which will raise revenues and user engagement levels.

To compete in today’s market digital media and e-commerce sites need to deliverhighly personalized and relevant products, news and information to the public in an engaging and entertaining manner.

Double , triple and quintuple results WOW!!!!!!

Submitted by admin on Mon, 01/28/2013 - 09:09

Can you believe our first set of results, they are off the charts.
 

My CES speaking experience

Murray Galbraith's picture
Submitted by Murray Galbraith on Mon, 01/21/2013 - 09:16

I had the pleasure of sitting on a “Content in the Cloud” (CITC) panel put on by the DCIA (Distributed Computing Industry Association) at this Year’s CES. The topic was Consumer Electronics (CE) Manufacturer Benefits and Drawbacks of Cloud-Delivered Content.
 

Why rules based personalization can't handle big data

Murray Galbraith's picture
Submitted by Murray Galbraith on Mon, 10/15/2012 - 14:29

Rules in a rules based personalization engine are pre-defined, static and have a limit on effectiveness. E.g. all first time users who come to the site will be presented with a special coupon to save 10%. This would be part of a set of rules that govern the delivery of content, promotions etc…. There are drawbacks to this approach. Creating, implementing and maintaining “rules” is labor intensive and thus very costly. Rules simply identify groups and categorize people; as such their intelligence is finite and ineffective when dealing with big data. 
 

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