Abstract: Systems and methods to select targeted advertising for display are disclosed. Example systems disclosed herein are to determine an opportunity metric for a first product based on a first quantity of the first product determined to be purchased by a first household during a first period of time and a second quantity of the first product expected to be purchased by the first household during the first period of time. Disclosed example systems are also to select, based on at least the opportunity metric, a first advertisement associated with the first product to deliver to the media device, and transmit the first advertisement to the address of the media device.

Abstract: Systems and methods to select targeted advertising for display are disclosed. Example systems disclosed herein are to access an address of a media device associated with a household, access purchase data reported from a logging device that logs product purchase activity at the household, determine a consumer segment associated with the household, determine an opportunity metric for a first product to be purchased by the household based on the purchase data reported from the logging device and purchase behavior associated with the consumer segment, select a first advertisement associated with the first product to deliver to the media device based on the opportunity metric and a saturation metric associated with the household for the first advertisement, the saturation metric based on detection of codes embedded in prior instances of the first advertisement delivered to the media device, and transmit the first advertisement to the address of the media device.

Abstract: Systems and methods to select targeted advertising for display are disclosed. An example system to select a targeted advertisement includes an opportunity calculator to assign a household to a consumer segment based on (1) geodemographic characteristics of the household and (2) characteristics of the consumer segment.

Abstract: Systems and methods to select targeted advertising for display are disclosed. Example systems disclosed herein are to access an address of a media device associated with a household, access purchase data reported from a logging device that logs product purchase activity at the household, determine a consumer segment associated with the household, determine an opportunity metric for a first product to be purchased by the household based on the purchase data reported from the logging device and purchase behavior associated with the consumer segment, select a first advertisement associated with the first product to deliver to the media device based on the opportunity metric and a saturation metric associated with the household for the first advertisement, the saturation metric based on detection of codes embedded in prior instances of the first advertisement delivered to the media device, and transmit the first advertisement to the address of the media device.

Abstract: Systems and methods to select targeted advertising for display are disclosed. An example system to select a targeted advertisement includes an opportunity calculator to assign a household to a consumer segment based on (1) geodemographic characteristics of the household and (2) characteristics of the consumer segment.

Abstract: Systems and methods to select targeted advertising for display are disclosed. An example method to select targeted advertising for display includes identifying an advertisement corresponding to the first product, identifying a saturation metric for the advertisement, determining a net effectiveness metric based on an opportunity metric and the saturation metric, the opportunity metric being based on a difference between an expected consumption of a first product by the household and actual consumption of the product by the household, and delivering the advertisement to the household via a media transmission when the net effectiveness metric is greater than a threshold.

Abstract: Methods and apparatus to determine shopper traffic in retail environments are disclosed herein. In a disclosed example method of generating shopper traffic data, in-person-based count data and sensor-based count data are obtained. The in-person-based count data is indicative of a first quantity of shoppers within a first zone of a monitored establishment is obtained. The sensor-based count data is indicative of a second quantity of shoppers within the first zone of the monitored establishment. The example method also involves determining a relationship value indicative of a relationship between the in-person-based count data, the sensor-based count data, and first sales data associated with the first zone of the monitored establishment.

Abstract: Methods and apparatus to determine shopper traffic in retail environments are disclosed herein. In a disclosed example method of generating shopper traffic data, in-person-based count data and sensor-based count data are obtained. The in-person-based count data is indicative of a first quantity of shoppers within a first zone of a monitored establishment is obtained. The sensor-based count data is indicative of a second quantity of shoppers within the first zone of the monitored establishment. The example method also involves determining a relationship value indicative of a relationship between the in-person-based count data, the sensor-based count data, and first sales data associated with the first zone of the monitored establishment.