Gary M Katz

US Patent:

6795809, Sep 21, 2004

Filed:

Sep 3, 1998

Appl. No.:

09/146199

Inventors:

Michael R. OBrien - St. Petersburg FL
George W. Off - Gulfport FL
Timothy L. Cherney - Fullerton CA
Gary M. Katz - Northbrook IL

Assignee:

Catalina Marketing International, Inc - St. Petersburg FL

International Classification:

G06F 1760

US Classification:

705 16, 705 1, 705 14, 705 17, 705 20

Abstract:

A system for automatically distributing discount coupons or certificates in a retail store, conditioned on a preselected combination of present and past shopping behavior of a customer whose order is being processed at a checkout stand. Generation of a printable discount coupon can be based on any desired combination of customer-supplied data, obtained from a customer identification data base, past shopping activity, derived from data gathered during previous customer visits to the store, and present shopping activity, as evidenced by items identified in the current customer order. Collection of data pertaining to past behavior of customers is facilitated by filtering all sales transaction data at the point of sale. If all of the preselected conditions for generation of a coupon are satisfied, the coupon is generated and printed at the checkout stand.

US Patent:

8583474, Nov 12, 2013

Filed:

Mar 7, 2002

Appl. No.:

10/498003

Inventors:

Gary M. Katz - Northbrook IL, US
Ryan Carr - South Elgin IL, US
Angela Clemens Kimes - St. Louis MO, US

Assignee:

Catalina Marketing Corporation - St. Petersburg FL

International Classification:

G06Q 30/00

US Classification:

705 141

Abstract:

The invention provides a system, computer program, and method for generating price point based incentives comprising: determining a category specific price point () associated with a dominant competitive brand and a client brand; generating an incentive () for said client brand based upon said price point and an anticipated price differential ().

US Patent:

8650065, Feb 11, 2014

Filed:

Aug 27, 2010

Appl. No.:

12/870764

Inventors:

Ryan Carr - South Eigin IL, US
Mark Davis - Clearwater FL, US
Gary M. Katz - Northbrook IL, US

Assignee:

Catalina Marketing Corporation - St. Petersburg FL

International Classification:

G06Q 10/00

US Classification:

705 733, 705 731

Abstract:

A system and method for anticipating consumer behavior and determining transaction incentives for influencing consumer behavior comprises a computer system and associated database for determining cross time correlations between transaction behavior, for applying the function derived from the correlations to consumer records to predict future consumer behavior, and for deciding on transaction incentives to offer the consumers based upon their predicted behavior.

US Patent:

20020077901, Jun 20, 2002

Filed:

Apr 9, 2001

Appl. No.:

09/828122

Inventors:

Gary Katz - Northbrook IL, US

Assignee:

Catalina Marketing International, Inc. - St. Petersburg FL

International Classification:

G06F017/60

US Classification:

705/014000, 705/036000

Abstract:

A novel method, system, and computer-readable medium that use a historical record of consumer behavior and/or demographic information relating to identify a more relevant promotion that is to be paired with a second low relevance product and/or product class. By pairing a more relevant promotion with a low relevance promotion, the consumer's attention can be captured and the likelihood that the low relevance promotion will be exercised increased.

US Patent:

20020107728, Aug 8, 2002

Filed:

Feb 6, 2001

Appl. No.:

09/776683

Inventors:

Tony Bailey - Long Grove IL, US
Gary Katz - Northbrook IL, US

Assignee:

Catalina Marketing International, Inc. - St. Petersburg FL

International Classification:

G06F017/60

US Classification:

705/014000

Abstract:

A method, system, and computer-readable medium that determine a promotion for a consumer based at least in part upon promotions exercised by the consumer. By examining exercised promotions, promotions likely to be exercised by certain consumers and consumers likely to exercise certain promotions can be identified. This invention can also be performed across the boundaries of product industry, class, and/or type.

US Patent:

20020107729, Aug 8, 2002

Filed:

Feb 6, 2001

Appl. No.:

09/776714

Inventors:

Gary Katz - Northbrook IL, US

Assignee:

CATALINA MARKETING INTERNATIONAL, INC. - St. Petersburg FL

International Classification:

G06F017/60

US Classification:

705/014000

Abstract:

A method, system, and computer-readable medium for timing the provision of promotions based upon previously received promotions. Through the examination of the parameters of previously provided promotions, new promotions that are likely to be redeemed in high numbers and/or rates can be provided to the consumer. Example parameters of previously provided promotions include the timing, the industry, the valid dates, the valid locations, the packaging, and other factors that relate to the previously provided promotions.

US Patent:

20040088221, May 6, 2004

Filed:

Jun 26, 2003

Appl. No.:

10/451845

Inventors:

Gary Katz - Northbrook IL, US
Joni Elmore - Clearwater FL, US
Laura Rangel - Orange CA, US

International Classification:

G06F017/60

US Classification:

705/014000

Abstract:

The invention provides a system, computer program, and database for the accurate determination of customer loyalty by using a combination of shopping history data, household personal data, and demographic data (). The invention defines a set of detailed measures of customer loyalty and computes values for those measures using unique combinations of data to provide better understanding of their customers shopping behavior (), as a basis for rewarding or effectively incentivising desired behavior ().

US Patent:

20060143075, Jun 29, 2006

Filed:

Sep 13, 2004

Appl. No.:

10/559937

Inventors:

Ryan Carr - South Elgin IL, US
Mark Davis - Clearwater FL, US
Gary Katz - Northbrook IL, US

International Classification:

G06Q 30/00
G07G 1/00

US Classification:

705014000, 705010000

Abstract:

A system and method for anticipating consumer behavior and determining transaction incentives for influencing consumer behavior comprises a computer system and associated database for determining cross time correlations between transaction behavior, for applying the function derived from the correlations to consumer records to predict future consumer behavior, and for deciding on transaction incentives to offer the consumers based upon their predicted behavior.