MARKETING CONSUMER RESEARCH

Brand Owner (click to sort) Address Description
SPECTRA Spectra Marketing Systems, Inc. 200 West Jackson Boulevard Chicago IL 60606 marketing and consumer research and consulting services;
SPECTRA ADVANTAGE Spectra Marketing Systems, Inc. 200 West Jackson Boulevard Chicago IL 60606 marketing and consumer research and consulting services;
SPECTRA ADVANTAGE Spectra Marketing Systems, Inc. 200 West Jackson Boulevard Chicago IL 60606 MARKETING AND CONSUMER RESEARCH AND CONSULTING SERVICES;
SPECTRA ADVANTAGE CONSUMER ACQUISITION SYSTEM Spectra Marketing Systems, Inc. 200 West Jackson Boulevard Chicago IL 60606 marketing and consumer research and consulting services;CONSUMER ACQUISITION SYSTEM;
SPECTRA ADVANTAGE CONSUMER INTELLIGENCE SYSTEM Spectra Marketing Systems, Inc. 200 West Jackson Boulevard Chicago IL 60606 marketing and consumer research and consulting services;CONSUMER INTELLIGENCE SYSTEM;
SPECTRA SALES ADVANTAGE Spectra Marketing Systems, Inc. 200 West Jackson Boulevard Chicago IL 60606 marketing and consumer research and consulting services;SALES;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. Predictive modeling of consumer financial behavior, including determination of likely responses to particular marketing efforts, is provided by application of consumer transaction data to predictive models associated with merchant segments, which are derived from the consumer transaction data based on co-occurrences of merchants in sequences of transactions. Merchant vectors represent specific merchants, and are aligned in a vector space as a function of the degree to which the merchants co-occur. Supervised segmentation is applied to merchant vectors to form merchant segments. Merchant segment predictive models provide predictions of spending in each merchant segment for any particular consumer, based on previous spending by the consumer. Consumer profiles describe summary statistics of each consumer's spending in the merchant segments, and across merchant segments. Consumer profiles include consumer vectors derived as summary vectors of selected merchants patronized by the consumer. Predictions of consumer behavior are made by applying nearest-neighbor analysis to consumer vectors.