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Jay Ranjan Prasad

from Carlsbad, CA
Age ~49
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Also known as:
Jay R Prasad, Jay W Prasad, Jay Parsad
Phone and address:
2582 Glasgow Dr, Carlsbad, CA 92010
(312) 498-0379
Related to:
William R BauerRekha R Prasad, 78Sumeet R Prasad, 57Rekha Prasad, 82Christine A Hanson, 67Whitney A Prasad, 43Jayati Prasad, 53Reena P Vokoun, 48
Connected to:
Ajay D Prasad, 56Ajit Prasad, 63Aju Prasad, 43Akhileshwar Prasad, 40Alan R Prasad, 64Albert R Prasad, 63Amita D Prasad, 50Amlesh D Prasad, 53Andrew Prasad, 36Anshuman Prasad, 45

Jay Prasad Phones & Addresses

  • 2582 Glasgow Dr, Carlsbad, CA 92010 (312) 498-0379
  • 555 4Th St, San Francisco, CA 94107 (415) 896-4409
  • 1069 14Th St, Chicago, IL 60601 (312) 929-3377 (312) 850-1491
  • 1069 W 14Th St UNIT 201, Chicago, IL 60608 (312) 929-3377
  • 2623 Halsted St, Chicago, IL 60614 (773) 929-6919
  • Champaign, IL

Work

Company: Blinkx, inc. Address: 795 Folsom St Fl 1, San Francisco, CA 94107 Position: Director of business development-distribution Industries: Business Services

Resumes

Resumes

Jay Prasad Photo 1

Global Bd, Sales, Video & Branding

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Position:
Senior Director Global Business Development & Partnerships at TubeMogul, Inc.
Location:
San Francisco Bay Area
Industry:
Online Media
Work:
TubeMogul, Inc. - San Francisco Bay Area since May 2013
Senior Director Global Business Development & Partnerships
LiveFyre - San Francisco Jul 2012 - May 2013
Head of Strategic Sales
FreeWheel - San Mateo, CA Aug 2011 - May 2012
Director of Strategic Development
Yahoo! - San Francisco Bay Area Nov 2009 - Aug 2011
Strategic Account Director
Cooliris - San Francisco Bay Area Jan 2009 - Nov 2009
Advisor- Media & Monetization
Education:
London Business School 1997 - 1997
University of Wisconsin-Madison 1993 - 1997
Skills:
Video Advertising
Digital Media
Mobile
Advertising Sales
Search
VOD
Digital Strategy
Distribution
Content Acquisition
Content Aggregation
Social Media Integration
Social Media Advertising
Mobile Devices
Advertising
Strategic Partnerships
Software Acquisition
SEM
Mobile Advertising
Strategy
Digital Marketing
Online Advertising
Integrated Marketing
Lead Generation
Social Media
Entrepreneurship
Jay Prasad Photo 2

Jay Prasad

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Location:
United States
Jay Prasad Photo 3

Medical Practice Professional

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Location:
United States
Industry:
Medical Practice

Business Records

Name / Title
Company / Classification
Phones & Addresses
Jay Prasad
Director Of Business Development-distribution
Blinkx, Inc.
Business Services
795 Folsom St Fl 1, San Francisco, CA 94107
Jay Prasad
Owner
Fiji Flavors
Eating Place
8625 Lk Murray Blvd, San Diego, CA 92119
Jay Prasad
Director Of Business Development-distribution
Blinkx, Inc.
795 Folsom St FL 1, San Francisco, CA 94107
Jay Prasad
Principal
Innovative Concepts
Business Services
2623 N Halsted St, Chicago, IL 60614
Jay Prasad
Director Of Business Development-distribution
Blinkx, Inc.
Business Services
795 Folsom St Fl 1, San Francisco, CA 94107

Publications

Us Patents

Cross-Screen Optimization Of Advertising Placement

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US Patent:
20230032230, Feb 2, 2023
Filed:
Oct 4, 2022
Appl. No.:
17/938033
Inventors:
- Los Angeles CA, US
Ross McCray - Pacific Palisades CA, US
David Gullo - Laguna Hills CA, US
Jay Prasad - San Francisco CA, US
International Classification:
H04N 21/81
H04N 21/2668
H04N 21/258
H04N 21/45
H04N 21/25
H04N 21/2543
G06Q 30/02
H04N 21/2385
H04N 21/466
Abstract:
The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which an advertiser can access relevant information about inventory and success of a given placement.

Yield Optimization Of Cross-Screen Advertising Placement

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US Patent:
20210105541, Apr 8, 2021
Filed:
Oct 20, 2020
Appl. No.:
17/075639
Inventors:
- Santa Monica CA, US
Ross McCray - Santa Monica CA, US
David Gullo - Laguna Hills CA, US
Jay Prasad - San Francisco CA, US
International Classification:
H04N 21/81
G06Q 30/02
G06Q 30/00
H04N 21/466
H04N 21/2385
H04N 21/45
H04N 21/2668
H04N 21/25
H04N 21/266
H04N 21/2543
H04N 21/258
H04N 21/845
Abstract:
The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system permits targeting of advertising content to consumers on TV and mobile devices that can be operated from within a multi-channel video programming distributor's environment. The system is able to use hard and soft constraints to come up with a number of possible targets for an advertising campaign and can then provide tools for optimizing those targets. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which a user can adjust various constraints and optimize a distributor's revenue yield from advertising.

Cross-Screen Optimization Of Advertising Placement

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US Patent:
20200288215, Sep 10, 2020
Filed:
May 26, 2020
Appl. No.:
16/883935
Inventors:
- Santa Monica CA, US
Ross McCray - Santa Monica CA, US
David Gullo - Laguna Hills CA, US
Jay Prasad - San Francisco CA, US
International Classification:
H04N 21/81
H04N 21/2668
H04N 21/258
H04N 21/45
H04N 21/25
H04N 21/2543
G06Q 30/02
H04N 21/2385
H04N 21/466
Abstract:
The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which an advertiser can access relevant information about inventory and success of a given placement.

Programmatic Tv Advertising Placement Using Crossscreen Consumer Data

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US Patent:
20190149869, May 16, 2019
Filed:
Nov 13, 2018
Appl. No.:
16/190056
Inventors:
- Los Angeles CA, US
Ross McCray - Santa Monica CA, US
David Gullo - Laguna Hills CA, US
Jay Prasad - San Francisco CA, US
International Classification:
H04N 21/2668
G06Q 30/02
H04N 21/258
H04N 21/45
H04N 21/2385
H04N 21/466
G06F 17/18
H04N 21/81
H04N 21/266
H04N 21/2547
H04N 21/25
Abstract:
The current invention relates to a computer-generated method for optimizing placement of advertising content to consumers' TV's using a programmatic TV bidding model. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which an advertiser can access relevant information about inventory and success of a given placement.

Sequential Delivery Of Advertising Content Across Media Devices

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US Patent:
20180338189, Nov 22, 2018
Filed:
May 21, 2018
Appl. No.:
15/985639
Inventors:
- Santa Monica CA, US
Ross McCray - Santa Monica CA, US
David Gullo - Laguna Hills CA, US
Jay Prasad - San Francisco CA, US
International Classification:
H04N 21/81
H04N 21/845
H04N 21/45
H04N 21/442
H04N 21/44
H04N 21/414
G06Q 30/02
H04N 21/41
H04N 21/258
H04N 21/2668
Abstract:
The technology relates to sequential or tailored delivery of advertising content across a plurality of media conduits. The invention achieves sequential story telling for advertising campaigns in place of single-series advertising, by delivering over a period of several sessions on a variety of devices. An advertiser can air a campaign on a consumer individual's cell phone device, continue the second portion of the campaign via a desktop browser session, and conclude with the third portion of the campaign on the individual's OTT device. The technology provides advanced controls over targeting and scheduling with high precision.

Cross-Screen Optimization Of Advertising Placement

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US Patent:
20180270544, Sep 20, 2018
Filed:
May 21, 2018
Appl. No.:
15/985634
Inventors:
- Santa Monica CA, US
Ross McCray - Santa Monica CA, US
David Gullo - Laguna Hills CA, US
Jay Prasad - San Francisco CA, US
International Classification:
H04N 21/81
H04N 21/2385
H04N 21/258
G06Q 30/02
H04N 21/2668
H04N 21/45
H04N 21/466
Abstract:
The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which an advertiser can access relevant information about inventory and success of a given placement.

Yield Optimization Of Cross-Screen Advertising Placement

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US Patent:
20170208370, Jul 20, 2017
Filed:
Jan 13, 2017
Appl. No.:
15/406647
Inventors:
- Santa Monica CA, US
Ross McCray - Santa Monica CA, US
David Gullo - Laguna Hills CA, US
Jay Prasad - San Francisco CA, US
International Classification:
H04N 21/81
G06Q 30/00
H04N 21/45
H04N 21/845
H04N 21/2385
G06Q 30/02
H04N 21/466
Abstract:
The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system permits targeting of advertising content to consumers on TV and mobile devices that can be operated from within a multi-channel video programming distributor's environment. The system is able to use hard and soft constraints to come up with a number of possible targets for an advertising campaign and can then provide tools for optimizing those targets. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which a user can adjust various constraints and optimize a distributor's revenue yield from advertising.

Programmatic Tv Advertising Placement Using Cross-Screen Consumer Data

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US Patent:
20170142465, May 18, 2017
Filed:
Jan 31, 2017
Appl. No.:
15/421243
Inventors:
- Santa Monica CA, US
Ross McCray - Santa Monica CA, US
David Gullo - Laguna Hills CA, US
Jay Prasad - San Francisco CA, US
International Classification:
H04N 21/2668
H04N 21/466
G06F 17/18
H04N 21/2385
G06Q 30/02
H04N 21/45
H04N 21/258
Abstract:
The current invention relates to a computer-generated method for optimizing placement of advertising content to consumers' TV's using a programmatic TV bidding model. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which an advertiser can access relevant information about inventory and success of a given placement.
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Jay Ranjan Prasad from Carlsbad, CA, age ~49 Get Report