Mobile Groove

In brief: An exclusive interview with JumpTap CMO Paran Johar connects the dots in this week’s announcement to support permission-based advertising with a new feature that lets consumers choose mobile display ads they will accept. PLUS a wider discussion of the value of

In brief: A sneak peek at my upcoming personalization report and a request for case studies. The second in the series on mobile personalization examines Openwave and features an exclusive Q&A with Mayur Pitamber, Openwave Product Management Strategist. We ask the question: Is Openwave gearing up for something big?

It was great to have the last days off and even better to map out an exciting line-up of MSearchGroove projects for the next months. One that I am particularly honored to announce: my collaboration with GigaOM Pro, the new research arm of the highly-respected tech blog GigaOM. By way of background, GigaOM Pro has brought together an impressive roster of industry authorities and analysts (including my esteemed colleague Chetan Sharma) to “address the gap that exists in real-time expert industry analysis on emerging technology markets.” The GigaOM Pro solution: Make timely, highly relevant analysis and insights accessible and practical.

I’m on board to write an in-depth examination of personalization and recommendation technologies and business models, a natural next step given my long track record analyzing mobile search and my deep involvement in the recommender space. (This includes work with Strands, a major provider of recommender systems, on recommender industry events including RecSys 09 – October 22-25, NYC.)

The report is an ambitious undertaking and I am naturally interested in connecting with personalization/recommendation companies –so please contact me directly if you wish to be considered for inclusion. peggy@msearchgroove.com

Why the buzz about personalization?

The advance of Internet-specific smartphones and the spread of app store schemes turns up the pressure mobile operators (and their content providers) to decipher data transactions (on and off the network), combine it with location and demographic data and use the results to create a 360-degree view of the individual.

Where does this shift leave mobile operators?