Disney Enterprises, Inc.

Cameron Davies

Deborah A Montague

Anjali Dange

Miguel Campo-Rembado

John Christopher Anderson

Andrew Witkin

Mark W Shafer

Xia Ying

Rudranil Manna

Phi Hoang

In a networked system, a method and apparatus for measuring advertising effectiveness involves broadcasting an advertisement at a broadcast time, monitoring at least one social network or other online forum following the broadcast time, filtering social network traffic to identify messages, search engine queries to identify queries, or other traffic entries, that appear to be responsive to the broadcast advertisement, determining a time of initiation for at least a plurality of entries that appear to be responsive to the broadcast advertisement, and determining at least one demographic for at least the plurality of the entries that appear to be responsive to the broadcast advertisement.

Data mining to determine online user responses to broadcast messages

One embodiment of the present invention sets for a mechanism for determining an optimized investment strategy across a portfolio of media channels for a given product or service. For each media channel in the portfolio, the unadjusted elasticity indicating an estimated effectiveness of the media channel when used for marketing is adjusted based on risk information associated with the media channel. The risk adjusted elasticity corresponding to each media channel in the portfolio is then used to determine an investment allocation for the media channel.

System and method for optimizing media portfolio allocation

A computer-implemented method for clustering a plurality of observations included in a dataset. The method includes selecting a subset of variables from a set of variables, where each variable in the subset is associated with each observation in the dataset; for each of a first number of times, randomly selecting an initial value for each variable in the subset to generate a seed value set that includes an initial value for each variable in the subset; generating a number of pre-clusters equal to the first number based on a similarity between each observation in the dataset and each of the first number of seed value sets; and applying a hierarchical clustering algorithm to the first number of pre-clusters to derive a second number of clusters.

System and method for hybrid hierarchical segmentation

Growing community of inventors

Winter Garden, FL, United States of America

Cameron Davies