logo

For the Inventor, By the Inventor

Albany, CA, United States of America

John M Trenkle

USPTO Granted Patents = 8 

Average Co-Inventor Count = 4.2

ph-index = 3

Forward Citations = 17(Granted Patents)


Company Filing History:

goldMedal8 out of 6,925 
 
Adobe, Inc.
 patents

Years Active: 2018-2021

Loading Chart...
8 patents (USPTO):Explore Patents
1. 11120467 - Systems and methods for predicting and pricing of gross rating point scores by modeling viewer data (2021-09-14),
2. 11010794 - Methods for viewer modeling and bidding in an online advertising campaign (2021-05-18),
3. 10949893 - Real-time bidding system that achieves desirable cost per engagement (2021-03-16),
4. 10878448 - Using a PID controller engine for controlling the pace of an online campaign in realtime (2020-12-29),
5. 10453100 - Real-time bidding system and methods thereof for achieving optimum cost per engagement (2019-10-22),
6. 10185971 - Systems and methods for planning and executing an advertising campaign targeting TV viewers and digital media viewers across formats and screen types (2019-01-22),
7. 10049382 - Systems and methods for predicting and pricing of gross rating point scores by modeling viewer data (2018-08-14),
8. 10007926 - Systems and methods for predicting and pricing of gross rating point scores by modeling viewer data (2018-06-26),

Title: Innovations of John M Trenkle

Introduction

John M Trenkle is a notable inventor based in Albany, CA (US). He has made significant contributions to the field of online advertising through his innovative patents. With a total of 8 patents, Trenkle has developed systems and methods that enhance the effectiveness of media campaigns.

Latest Patents

One of his latest patents is focused on systems and methods for predicting and pricing gross rating point (GRP) scores by modeling viewer data. This invention characterizes websites and viewers to predict GRPs for online advertising media campaigns. It involves establishing a truth set of viewers with known characteristics and comparing it with historical media viewing activity to determine the degree of polarity for different media properties. This method allows for accurate pricing of media campaigns based on the predicted GRPs delivered.

Another significant patent involves methods for viewer modeling and bidding in online advertising campaigns. This system employs supervised machine learning to analyze viewer activities and attributes, producing models that determine the probabilities of an unknown viewer belonging to specific demographic segments. These probabilities are crucial for bidding in online media auctions and predicting on-target impressions and GRPs in advance of campaigns.

Career Highlights

Throughout his career, John M Trenkle has worked with prominent companies such as Adobe, Inc. and Adobe Systems Inc. His experience in these organizations has contributed to his expertise in the field of online advertising and viewer analytics.

Collaborations

Trenkle has collaborated with notable individuals in his field, including John Hughes and Adam Rose. These partnerships have likely fostered innovative ideas and advancements in his work.

Conclusion

John M Trenkle's contributions to the field of online advertising through his patents demonstrate his innovative spirit and expertise. His work continues to influence how media campaigns are structured and executed, showcasing the importance of data-driven approaches in advertising.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…