Placed, Inc.

Snap Inc.

Foursquare Labs, Inc.

Fouresquare Labs, Inc.

Nick Gerner

David Shim

Weilie Yi

George Varghese

Brad Bicknell

Elliott Waldron

Andrea Eatherly

Siddharth Rajaram

Michael Grebeck

Jeremy Tryba

A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.

Inference pipeline system and method

A system and method for attributing in-store visits to exposure to advertisement ('ad') impressions associated with an ad campaign are disclosed. The system gathers impression data and uses that data to identify users who were exposed to the ad impressions. The system then uses location data, activity information and in some instances beacon data points reported by mobile devices of the impression users to determine if the impression users visited a target place during a conversion window. Based on the impression users who were exposed to the ad impressions, the system establishes a control group of users who were not exposed to the ad impressions to perform quasi-experimental analyses to assess whether the ad impressions had any impact on changing the impression users' physical in-store visitation behavior.

Attributing in-store visits to media consumption based on data collected from user devices

A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.

Determining targeting information based on a predictive targeting model

A data collection system that provides the means to collect, store and make data available for a location analytics inference pipeline. The system incorporates a feedback mechanism enabling algorithms produced from the inference pipeline to drive the collection strategy to yield higher data quality and to produce reference data for model validation.

System and method for data collection to validate location data

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Seattle, WA, United States of America

Nick Gerner