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St. Petersburg, FL, United States of America

Catalina Marketing Corporation

Calculating rank

USPTO Granted Patents = 101

% Expired Patents = 12.9

CIPO Patents = 3

EPO Patents = 8

Trademarks = 9

Forward Citations = 2,378

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106 inventors (with patents filed for the assignee):

Scott Wills (11 out of 16 patents)

Jeffrey R Mount (10 out of 10 patents)

Zubin Singh (8 out of 8 patents)

4. Michael Roberts (8 out of 13 patents)

5. Kirk Dikun (7 out of 7 patents)

6. Benjamin S Sprecher (7 out of 7 patents)

7. Gregory B Roberts (7 out of 9 patents)

8. Michael C Scroggie (7 out of 13 patents)

9. Simon Banfield (6 out of 10 patents)

10. Satish Gopalakrishnan (5 out of 8 patents)

11. Paul Tang (5 out of 7 patents)

12. Kelly Carrigan (5 out of 5 patents)

13. Brad Schulz (5 out of 5 patents)

14. Kamran Amjadi (5 out of 5 patents)

15. David A Rochon (5 out of 9 patents)

Core Competencies:

Coupon Validation

Personalized Services

Targeted Advertising

Machine Learning

Consumer Insights

Incentive Networks

Self-Checkout Systems

Media Delivery

Promotional Campaigns

Real-Time Offers

User Monitoring

Inventory Management

101 patents: Sort by Forward Citations

1. 12475481 - Coupon validation and fraud mitigation (2025-11-18),

2. 12417472 - Personalized product service (2025-09-16),

3. 12001986 - System and method of initiating in-trip audits in a self-checkout system (2024-06-04),

4. 11954702 - Identifying consumers online for providing offers and coupon validation online, in real-time, and at the point of sale (2024-04-09),

5. 11900417 - Personalized product service (2024-02-13),

6. 11875326 - Media hub devices with passive monitoring of user devices and targeted media transmission through in-channel transmission or shifted channel transmission (2024-01-16),

7. 11741504 - Parametric tracking and triggering of advertising events in online multimedia environments (2023-08-29),

8. 11651381 - Machine learning for marketing of branded consumer products (2023-05-16),

9. 11636534 - Offer personalization engine for targeted marketing of branded consumer packaged goods (2023-04-25),

10. 11587158 - Offer personalization engine for targeted marketing of branded consumer packaged goods (2023-02-21),

11. 11301899 - Personalized product service (2022-04-12),

12. 11257094 - System and method of a media delivery services platform for targeting consumers in real time (2022-02-22),

13. 11222347 - Machine learning for marketing of branded consumer products (2022-01-11),

14. 11216837 - Identifying consumers online for providing offers and coupon validation online, in real-time, and at the point of sale (2022-01-04),

15. 11170435 - Offer personalization engine for targeted marketing of branded consumer packaged goods (2021-11-09),

Company Overview

Catalina Marketing Corporation, headquartered in St. Petersburg, FL, specializes in innovative marketing technology solutions that enhance consumer engagement and drive sales. The company focuses on coupon validation, personalized services, and targeted advertising, leveraging advanced machine learning techniques to deliver actionable consumer insights. Catalina's expertise extends to incentive networks and self-checkout systems, enabling retailers to optimize media delivery and improve customer experiences in a rapidly evolving marketplace.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

101 Patents

#3 in St. Petersburg, FL

#86 in Florida

#3,766 in US

#7,729 in the World

St. Petersburg, FL, United States of America

Catalina Marketing Corporation

Forward Citations = 2,378

106 inventors:

Scott Wills (11 out of 16 patents)

Jeffrey R Mount (10 out of 10 patents)

Zubin Singh (8 out of 8 patents)

4. Michael Roberts (8 out of 13 patents)

5. Kirk Dikun (7 out of 7 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Catalina Marketing Corporation. Retrieved from https://idiyas.com/company/catalina-marketing

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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