Cars.com, LLC

Sainaga Srikantham

Addhyan Pandey

William R Page

Larry F Vance

Chirag S Patel

Joe Grosspietch

Crispina Chong

Michael Dehner

Jim Cissell

David Matthew Krell

Seth Goldberg

Mike Costa

Balaaji Parthasarathy

Michael D Heinley

Bree J Radloff

Dennis R Sherman

Roger Kurth

Greg Heidorn

Barbara August

Michael N Morgan

Joe Oliveri

Ben Stark

Leena Ansari

Samantha Volker

Anthony Arguelles

Systems and methods for guided vehicle matching are disclosed. In order to generate vehicle recommendations for a user of an electronic vehicle listing service, a plurality of vehicle-related lifestyle options are presented to the user, and a user selection received. Additional data regarding the user's vehicle preferences, requirements, or usage may be obtained. Based upon such information, a set of example vehicles is generated and presented to the user. Each example vehicle has characteristics representing a plurality of other vehicles. Based upon user ratings or selections of at least some of the example vehicles, a plurality of vehicle recommendations for specific available vehicles are generated and presented to the user. In some embodiments, further user interaction with such recommendations is used to refine the vehicle recommendations and identify additional vehicle recommendations.

Method, system, and manufacture for personalized vehicle matching based upon user preferences

Systems and methods for personalizing electronic messages for users based upon determining user mobile device location data indicating user locations within an area of interest are disclosed. User geospatial location data is obtained at user mobile devices upon the triggering event of a user action (e.g., visiting a web site or using an application on the user mobile device). The location data is stored and compared against map data accurately and precisely defining a map area of the area of interest, such as a vehicle dealer lot. A user data sheet is generated to store information regarding the user location and time at the area of interest. The user data sheet may include a user status identifier based upon elapsed time since the user was at the area of interest. Personalized messages are then generated and transmitted to the user based upon the information in the user data sheet.

Integrated location-based message personalization

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Chicago, IL, United States of America

Sainaga Srikantham