Inmar Clearing, Inc.

Irving Turner

Brent Snyder

Andrew B Jump

Robert Zomok

Christopher J Henry

Sinem Hurst

Srujana Takkallapally

Andrew Wood

Amy Callahan

Jordan Ivey

Leah Logan

Ryan Devoe

Blake Marts

J Brooke Smith

James Hertel

Tiffany Williams Khan

William Thomas Borders, Jr

Jennifer Mauldin

Laura O'Steen

Jp Petermann

A content influencer scoring system may include influencer computers each associated with a respective content influencer having influencer historical performance data and legacy influencer content associated therewith. A remote server may obtain advertisement campaign data associated with an advertisement campaign and parse the advertisement campaign data for advertisement keywords. The remote server may match content influencers to the advertisement campaign data based on the advertisement keywords and, for each content influencer, generate an advertisement campaign score. The score may be generated by determining whether the content influencer is suitable for the advertisement campaign based upon a term frequency of the advertisement keywords for each document from the legacy influencer content, and frequency of the advertisement keywords across the documents, and when suitable, determining whether the advertisement campaign score based upon the historical performance data to generate the advertisement campaign score.

Content influencer scoring system and related methods

A promotion processing system may include a point-of-sale terminal at a store to collect purchased product identifiers from products being purchased, and a promotion generation server. The server may obtain the collected purchased product identifiers from the point-of-sale terminal, determine a store-transaction count based upon the collected purchased product identifiers, and for each purchased product identifier, map the corresponding product to an aisle location within the store. The server may determine a corresponding aisle-transaction count for the aisle location corresponding to each product based upon the mapped aisle locations, and determine shopper paths of travel within the store based upon the store- and aisle-transaction counts. The server may identify a location within the store for an aisle violator sign for a promoted product located in one of the aisle locations based upon the shopper paths of travel and the aisle-transaction counts, and generate a digital promotion for the promoted product.

Promotion processing system for identifying store location for an aisle violator sign and related methods

Growing community of inventors

Bentonville, AR, United States of America

Irving Turner