Facebook since Sep 2012
product manager
Pearl.com (The largest paid question and answer platform) - San Francisco Bay Area Oct 2011 - Sep 2012
Senior Product Manager
ShareMyFav.com Mar 2011 - Oct 2011
Creator
stealth company Jun 2010 - Oct 2011
founder
Dotomi. Acquired by ValueClick for $295 million Jan 2006 - Jun 2010
Product Manager
Education:
The University of Chicago - Booth School of Business 2009 - 2011
MBA, Entrepreneurship, strategic management
Edward Tufte 2008 - 2008
Mercy College 2006 - 2007
B.SC, Computer Science
Technion-Machon Technologi Le' Israel 1995 - 1997
Practical Engineering, Computer Science and Information
Skills:
Product Management Mobile Devices E Commerce Start Ups Product Development Market Research Analytics Strategy Mobile Applications Business Strategy Agile Methodologies Entrepreneurship Competitive Analysis Online Advertising Web Analytics Strategic Partnerships Management Leadership Product Marketing Online Marketing Product Strategy Product Design Databases Mobile Marketing Software Project Management Database Marketing Predictive Modeling Churn Road Maps Intrapreneurship User Profiling Competitive Landscape Analysis Customer Profitability
- Menlo Park CA, US Wenjie Fu - Foster City CA, US Haomin Yu - Mountain View CA, US Ou Jin - Mountain View CA, US Eitan Shay - Palo Alto CA, US Richard Bill Sim - Belmont CA, US Jun Yang - Sunnyvale CA, US
Assignee:
Facebook, Inc. - Menlo Park CA
International Classification:
G06Q 30/02 G06Q 50/00
Abstract:
An advertising system predicts advertisement reach for a received advertisement request based on an advertiser-specified bid amount and a specification of a target audience. The system samples the target audience, and for each sampled user of the target audience, accesses a recent impression history to obtain costs or bids associated with recent advertisement impressions. The system compares the advertiser-specified bid amount in the received advertisement request to costs or bid values associated with successful advertisement impressions, for each sampled user, in order to determine whether the received advertisement request would have won a bid auction for each given sampled user to successfully reach each given sampled user. An estimated aggregate reach for the sampled users is computed and extrapolated to the targeted user population to estimate a total reach of the advertisement content for the target audience.
Generation Of An Advertisement Bid-Reach Landscape
- Menlo Park CA, US Wenjie Fu - Foster City CA, US Haomin Yu - Mountain View CA, US Ou Jin - Mountain View CA, US Eitan Shay - Palo Alto CA, US Richard Bill Sim - Belmont CA, US Jun Yang - Sunnyvale CA, US
Assignee:
Facebook, Inc. - Menlo Park CA
International Classification:
G06Q 30/02 G06Q 50/00
Abstract:
An advertising system receives from an advertiser at a social networking system an advertisement request, the advertisement request comprising advertisement content and a specification of a target audience for the advertisement content. The advertising system defines a plurality of bid values for the advertisement request. For each of the plurality of bid values, the advertisement system estimates a corresponding value of advertisement reach for the target audience, for example, by estimating a number of users of the target audience for each of whom the given bid value is expected to have resulted in at least one successful impression. The advertiser is provided a visual representation of a bid-reach landscape representing the estimated plurality of advertisement reach values as a function of the plurality of bid values. The advertising system provides, to the advertiser, one or more recommendations for bid values for which corresponding return-on-investment metrics exceed a specified threshold.
Monitoring Conversions And Fee Determination Of Online Advertisements Using A Social Networking System
- Menlo Park CA, US Jun Yang - Sunnyvale CA, US Mathew Varghese - Los Altos CA, US Eitan Shay - Palo Alto CA, US Feng Yan - Fremont CA, US
International Classification:
G06Q 30/02
US Classification:
705 1445
Abstract:
When the social networking system selects an advertisement for presentation to the user by a client device, a content identifier associated with the selected advertisement is stored in an advertisement history associated with the user. When the user performs a conversion event associated with the selected advertisement, the social networking system receives a content identifier and a user identifier from a client device used that performed the conversion event and retrieves the user's advertisement history. If the retrieved advertisement history includes a content identifier for the selected advertisement matching the content identifier received from the client device and a time between the conversion event and providing the selected advertisement to the client device is less than a threshold time period, a fee is determined for presentation of the selected advertisement.
Monitoring Conversions And Fee Determination Of Online Advertisements Using A Social Networking System
- Menlo Park CA, US Jun Yang - Sunnyvale CA, US Eitan Shay - Palo Alto CA, US Jiahui Wu - Menlo Park CA, US Spencer Powell - San Francisco CA, US William Bullock - Palo Alto CA, US
International Classification:
G06Q 30/02
US Classification:
705 1445
Abstract:
A group of social networking system users are associated with a holdout group for an advertisement. Users in the holdout group are not presented with the advertisement. When the advertisement is selected for presentation to a user, the social networking system presents the advertisement to the user if the user is not in the holdout group. However, if the user is in the holdout group, alternative content is presented to the user. If a user performs a conversion event associated with the advertisement via a client device, the social networking system determines a fee for an advertiser if the advertisement was presented to the user. The fee may be adjusted based on differences between conversion events by users in the holdout group for the advertisement and by users not in the holdout group.
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