Brooklyn, NY, United States of America

Nicholas M Jordon


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: **The Innovative Mind of Nicholas M. Jordon**

Introduction

Nicholas M. Jordon, an accomplished inventor based in Brooklyn, NY, is known for his contributions to the field of algorithmic technology. With a patent to his name, Jordon has made significant strides in developing techniques for creating look-alike models that offer valuable insights for businesses and marketers.

Latest Patents

Jordon's notable patent, "Tunable Algorithmic Segments," describes innovative techniques that enable the creation of look-alike models based on specific target audience definitions. The method involves obtaining traits associated with a baseline group of consumers who have engaged with online resources in various ways, such as purchasing products or utilizing services. Jordon's patent allows for the adjustment of parameters that fine-tune the reach versus accuracy of the look-alike models, providing clients with the ability to manipulate segment data to generate diverse look-alike groups.

Career Highlights

Working at Adobe Inc., Nicholas M. Jordon has leveraged his expertise in algorithmic development to enhance marketing effectiveness through data-driven strategies. His work has not only enriched Adobe's product offerings but has also set new benchmarks for marketing analytics across the industry.

Collaborations

Throughout his career, Jordon has collaborated with talented individuals such as Margarita Savova and Matvey Kapilevich. These partnerships have contributed to the innovation and refinement of the technologies developed within the company, allowing them to create powerful tools that resonate with a wide range of clients.

Conclusion

Nicholas M. Jordon exemplifies the spirit of innovation that drives success in technology and marketing. With his patent and contributions at Adobe Inc., he continues to influence how businesses approach audience targeting and market segmentation. His work not only demonstrates the potential of algorithmic techniques but also highlights the importance of collaboration in achieving groundbreaking advancements.

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