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Benoit Vatere

from Santa Monica, CA
Age ~44
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Also known as:
Benoit Yasmine Vatere, Vatere Benoit
Related to:
Yasmine Vatere, 46
Connected to:
Drew O Vaterlaus, 38Leann A Vaterlaus, 41Thomas D Vaterlaus, 89Petko V Vatev, 46Carter D Vath, 52David T Vath, 57Gerard T Vath, 33Jan B Vath, 80Linda C Vath, 71Michael D Vath, 52

Benoit Vatere Phones & Addresses

  • Santa Monica, CA
  • 520 Lucia Ave, Redondo Beach, CA 90277 (310) 798-9420
  • 1800 S Pacific Coast Hwy #52, Redondo Beach, CA 90277
  • 116 Paseo De La Concha, Redondo Beach, CA 90277 (310) 378-9010
  • 401 Avenue G, Redondo Beach, CA 90277 (310) 543-0468
  • Los Angeles, CA

Work

Company: Nami media Apr 2013 Address: Greater Los Angeles Area Position: Vp, media buying

Education

Degree: Master School / High School: Ecole nationale d'Ingénieurs des Travaux agricoles de Bordeaux 1997 to 2000 Specialities: Engineering, Marketing

Skills

SEM • PPC • Online Advertising • Conversion Optimization • Online Marketing • Media Buying • Advertising • Strategic Partnerships • Affiliate Marketing • Marketing • Email Marketing • Start-ups • Multi-channel Marketing • Strategy • Search Advertising • Web Analytics • Integrated Marketing • Google Adwords • Digital Marketing • Analytics • Digital Strategy • E-commerce • Mobile Advertising • Interactive Marketing • Lead Generation • Social Media Marketing • Digital Media • Media Planning

Industries

Internet

Resumes

Resumes

Benoit Vatere Photo 1

Vp, Media Buying At Nami Media

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Position:
VP, Media Buying at Nami Media
Location:
Greater Los Angeles Area
Industry:
Internet
Work:
Nami Media - Greater Los Angeles Area since Apr 2013
VP, Media Buying
LookSmart May 2011 - Feb 2013
VP, Distribution Network
magnify360 Jun 2008 - May 2011
VP, Client Success
magnify360 May 2005 - May 2008
Director, Client Success
Qpuncture Inc. Aug 2003 - Apr 2005
Director, Marketing
Education:
Ecole nationale d'Ingénieurs des Travaux agricoles de Bordeaux 1997 - 2000
Master, Engineering, Marketing
Skills:
SEM
PPC
Online Advertising
Conversion Optimization
Online Marketing
Media Buying
Advertising
Strategic Partnerships
Affiliate Marketing
Marketing
Email Marketing
Start-ups
Multi-channel Marketing
Strategy
Search Advertising
Web Analytics
Integrated Marketing
Google Adwords
Digital Marketing
Analytics
Digital Strategy
E-commerce
Mobile Advertising
Interactive Marketing
Lead Generation
Social Media Marketing
Digital Media
Media Planning

Business Records

Name / Title
Company / Classification
Phones & Addresses
Benoit Vatere
President
Carbon Hire, Inc
1447 2 St, Santa Monica, CA 90401
Benoit Vatere
Vice-President
Salesbuilder, Inc
Nonclassifiable Establishments
PO Box 91314, Los Angeles, CA 90009
9841 Airport Blvd, Los Angeles, CA 90045
Benoit Vatere
President
SAMPLE SPOON INC
1020 Palos Verdes Dr W, Redondo Beach, CA 90277
1020 Palos Verdes Dr W, Palos Verdes Estates, CA 90274

Publications

Us Patents

Website User Profiling Using Anonymously Collected Data

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US Patent:
8626697, Jan 7, 2014
Filed:
Feb 28, 2011
Appl. No.:
13/037168
Inventors:
Olivier Antoine Chaine - Los Angeles CA, US
Benoit Vatere - Redondo Beach CA, US
Anand Ramamurthy - Hermosa Beach CA, US
Scott A. Riley - Bourbonnais IL, US
Assignee:
magnify360, Inc. - Los Angeles CA
International Classification:
G06F 17/00
G06N 5/02
US Classification:
706 50, 709222, 709217, 709224, 709228, 709229
Abstract:
First contextual data characterizing behavioral attributes of a user visiting at least one web page is received. The first contextual data is collected by anonymously tracking interaction of the user with the at least one web page via a data collector embedded in the at least one web page. Second contextual data characterizing non-behavioral attributes of the user is also received. The second contextual data is based solely on anonymously collected information and it originates from a data source other than the data collector. Thereafter, it is determined which attributes among a plurality of pre-defined attributes are present for the user based on the first contextual data and the second contextual data. The determined plurality of attributes are associated with a best fit amongst a plurality of clusters or associations generated by grouping users with similar attributes that participated in a plurality of historical transactions. Subsequently, using at least one predictive model trained with historical user conversion data, it is determined which of a plurality of available offers for presentation via at least one web page is most likely to result in a conversion of the user based on the pertinent cluster or association so that the presentation of the identified available offer can be initiated.
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Benoit Vatere from Santa Monica, CA, age ~44 Get Report