Michael J Zenor

US Patent:

20080294475, Nov 27, 2008

Filed:

Apr 25, 2008

Appl. No.:

12/110095

Inventors:

Michael John Zenor - Deerfield IL, US
William J. Dupre - Downers Grove IL, US
Frank W. Piotrowski - Arlington Heights IL, US

International Classification:

G06Q 10/00

US Classification:

705 7

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.

US Patent:

20110314495, Dec 22, 2011

Filed:

Dec 9, 2010

Appl. No.:

12/964481

Inventors:

Michael Zenor - Deerfield IL, US

International Classification:

H04N 7/025
G06Q 30/00

US Classification:

725 34, 705 1441

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.

US Patent:

20140067478, Mar 6, 2014

Filed:

Sep 4, 2012

Appl. No.:

13/602892

Inventors:

Michael J. Zenor - Deerfield IL, US

International Classification:

G06Q 30/02

US Classification:

705 734, 705 733

Abstract:

Methods and apparatus are disclosed to dynamically estimate consumer segment sales with point-of-sale data. An example method includes generating a dataset of observed category panelist trips for a segment of interest, identifying a first signal variable associated with non-panelist data for a time period of interest, calculating a trip likelihood for the segment of interest based on the first signal variable, and estimating a decomposition of purchases by segment based on the trip likelihood and the non-panelist data.

US Patent:

20200005343, Jan 2, 2020

Filed:

Jun 28, 2019

Appl. No.:

16/457127

Inventors:

- New York NY, US
Michael J. Zenor - Cedar Park TX, US
Mitchel Kriss - Long Grove IL, US
Congrong Lou - Naperville IL, US

International Classification:

G06Q 30/02

Abstract:

Methods, apparatus, systems and articles of manufacture to identify local trade areas are disclosed. An example method includes selecting, with a processor, census block groups (CBGs) associated with a retailer location, identifying, with the processor, a plurality of stores within the selected CBGs and associated all commodities volume (ACV) values for respective ones of the plurality of stores, calculating, with the processor, similarity index values associated with respective pairs of the plurality of stores, generating, with the processor, local trade areas (LTAs) of subgroups of the plurality of stores based on a comparison of the similarity index values to a similarity threshold value, and when a respective one of the LTAs includes a violation of a releasability criterion, preventing, with the processor, erroneous disclosure of market share information by re-distributing the stores within the respective one of the LTAs to a geographically adjacent LTA.

US Patent:

20190289352, Sep 19, 2019

Filed:

May 31, 2019

Appl. No.:

16/428397

Inventors:

- New York NY, US
Michael John Zenor - Cedar Park TX, US

International Classification:

H04N 21/2668
H04N 21/25
H04N 21/258
G06Q 30/02

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.

US Patent:

20180278980, Sep 27, 2018

Filed:

May 25, 2018

Appl. No.:

15/990341

Inventors:

- New York NY, US
Michael John Zenor - Cedar Park TX, US

International Classification:

H04N 21/2668
H04N 21/25
H04N 21/258
G06Q 30/02
H04N 21/81

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. The example system also includes a collaborative filter to: determine, for the consumer segment assigned to the household, a relationship metric between purchases of a first product and purchases of a second product; determine an expected consumption of the first product by the household based on (1) the relationship metric and (2) actual consumption of the first product by the household; determine an opportunity metric based on a quantity difference between the expected consumption of the first product by the household and the actual consumption of the first product by the household; and improve advertising resource utilization by permitting exposure of the targeted advertisement to the household when the opportunity metric satisfies a threshold, wherein at least one of the collaborative filter, or the opportunity calculator is implemented using a processor.

US Patent:

20180174173, Jun 21, 2018

Filed:

Dec 15, 2016

Appl. No.:

15/380327

Inventors:

- New York NY, US
Michael J. Zenor - Cedar Park TX, US
Mitchel Kriss - Long Grove IL, US

International Classification:

G06Q 30/02
G06F 17/30

Abstract:

Methods and apparatus to identify retail pricing strategies are disclosed herein. An example apparatus for identifying a pricing strategy employed by a store includes a calculator to calculate a first pricing strategy variable for the store based on sales data of the store. The example apparatus includes an index creator to index the first pricing strategy variable against aggregated data for a plurality of stores to generate a pricing index. The example apparatus includes a pricing strategy identifier to identify a pricing strategy for the store based on the pricing index.

US Patent:

20170091795, Mar 30, 2017

Filed:

Sep 30, 2015

Appl. No.:

14/870944

Inventors:

- New York NY, US
Michael J. Zenor - Cedar Park TX, US
Mitchel Kriss - Long Grove IL, US
Congrong Lou - Naperville IL, US

International Classification:

G06Q 30/02

Abstract:

Methods, apparatus, systems and articles of manufacture to identify local trade areas are disclosed. An example method includes selecting, with a processor, census block groups (CBGs) associated with a retailer location, identifying, with the processor, a plurality of stores within the selected CBGs and associated all commodities volume (ACV) values for respective ones of the plurality of stores, calculating, with the processor, similarity index values associated with respective pairs of the plurality of stores, generating, with the processor, local trade areas (LTAs) of subgroups of the plurality of stores based on a comparison of the similarity index values to a similarity threshold value, and when a respective one of the LTAs includes a violation of a releasability criterion, preventing, with the processor, erroneous disclosure of market share information by re-distributing the stores within the respective one of the LTAs to a geographically adjacent LTA.