Patent classifications
G06Q30/0246
Method, medium, and system for shopper integrity estimation in frictionless retail stores
Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include receiving, from first sensors first sensed data indicating selection of a first product by a customer; determining, from the first sensed data, a first property associated with the first product; issuing a first query to the customer regarding the first property and, in response, receiving first information from the customer; comparing the first information with the first property; determining, based on the comparison, an integrity indicator associated with the customer; receiving, from second sensors second sensed data indicating a selection of a second product by the customer; determining, based on the integrity indicator, at least one action to determine a second property associated with the second product; and initiating the at least one action.
Systems, Devices, and Methods for Dynamically Generating, Distributing, and Managing Online Communications
This document describes the collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications. Specifically, the disclosed devices and systems may be employed to produce one or more marketing and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating user engagement, thereby accurately determining the cost benefits of the campaign. The analytic results provided may then be used to guide the generation of original web content, such as for the purposes of enhancing customer or follower experience, driving business, and for driving advertising campaigns. Alternatively, web content that is in the public domain, and determined to perform well, can be reproduced, referenced, or otherwise referred to, in the context of promoting or presenting the user's web content.
CORRECTING COMPUTER-GENERATED MISATTRIBUTION ERRORS IN MEDIA IMPRESSIONS DATA USING A THIRD-PARTY PRIVACY-PROTECTED CLOUD ENVIRONMENT
Methods, apparatus, systems, and articles of manufacture are disclosed to adjust demographic information of user accounts to reflect primary users of the user accounts. An example apparatus includes memory, programmable circuitry, and instructions in the memory, the instructions to cause the programmable circuitry to at least access impression data associated with a user account registered with a database proprietor, the user account associated with first demographics at a database of the database proprietor. The example programmable circuitry is also to determine a primary user of the user account based on the impression data and based on second demographics of multiple users of the user account, the multiple users including the primary user. Additionally, the example programmable circuitry is to modify the first demographics associated with the user account based on at least some of the second demographics, the at least some of the second demographics corresponding to the primary user.
METHODS, SYSTEMS, AND MEDIA FOR INHIBITING THE TRANSMISSION OF MEDIA CONTENT BASED ON FREQUENCY AND EXPOSURE MEASUREMENTS
Mechanisms for inhibiting the transmission of media content based on frequency and exposure measurements are provided. In some embodiments, the method comprises: receiving consumption information of a plurality of content items associated with a plurality of viewers; determining, from the consumption information, exposure frequency for each viewer of the plurality of viewers, exposure time of a set of content items provided to each viewer of the plurality of viewers, and lift for each viewer of the plurality of viewers, wherein the lift corresponds to a difference of an expected number of treated conversions and an expected number of untreated conversions over a sum of the expected number of treated conversions and the expected number of untreated conversions; determining an optimal exposure frequency and an optimal exposure time based on the exposure frequency, the exposure time, and the lift; generating (i) a first user segment in which a plurality of additional content items should be provided to a viewer of the plurality of viewers, (ii) a second user segment in which at least one additional content item should be provided to the viewer of the plurality of viewers, and (iii) a third user segment in which no additional content items should be provided to the viewer of the plurality of viewers; receiving a request for a content item from a user device; determining whether the user device should be assigned with the first user segment, the second user segment, or the third user segment; in response to determining that the user device should be assigned to the first user segment, transmitting the plurality of additional content items until determining that the user device should be assigned to the second user segment based on updated exposure frequency information and updated exposure time information; continuing to transmit the at least one additional content item to the user device while the user device is positioned within the second user segment until determining that the user device should be assigned to the third user segment based on the updated exposure frequency information and the updated exposure time information; and inhibiting the presentation of any additional content items on the user device in response to the user device being positioned within the third user segment.
Automated campaign configuration switching framework
Dynamic campaign optimization systems and methods may be used to continuously test many alternative campaign configurations while allowing all configurations, including configurations formerly identified as successful and unsuccessful, to be re-tested in order to identify successful configurations that may previously have been identified as unsuccessful.
METHODS, SYSTEMS, ARTICLES OF MANUFACTURE, AND APPARATUS TO DETECT PROMOTION EVENTS
Systems, apparatus, articles of manufacture, and methods are disclosed to detect promotion events. An apparatus includes interface circuitry to obtain aligned sales data corresponding to products, the products corresponding to a market and a category; computer readable instructions; and programmable circuitry to instantiate event detection circuitry to: identify product-level promotions based on the aligned sales data and corresponding baseline data for the products; and group ones of the product-level promotions to identify promotion events; and expansion circuitry to determine uplift factors for different promotion characteristics based on the market and the category; and apply the uplift factors to the product-level promotions and the promotion events to identify incremental sales.
Advertising analysis using data clean rooms
Data clean rooms provided for subscribers to advertising analysis services include data regarding advertising impressions, selections, view or conversion events, and memberships of audience segments, and computing functions or capacities for processing the data in an anonymized fashion. When advertisements are presented to customers, and interactions by customers (e.g., impressions, views, clicks, conversions or others) with goods or services are detected, data regarding the interactions may be aggregated and stored. When queries on behalf of an advertiser are identified, data associated with the queries may be retrieved and stored in a data clean room for processing or analysis. Anonymized responses to the query may be returned to the customer or serve as basis for one or more advertising events.
Close-loop advertising system and method
A verification system configured to determine when customers respond to a real-world ad unit is disclosed. The system comprises: a first camera, a second camera, and a processor. The first camera is mounted at a billboard promoting an associated merchant. The second camera is installed at the merchant where it is configured to capture images of people present at the merchant. The processor is configured to: receive images of a first set of people from the first camera at the billboard; receive images of a second set of people from the second camera at the merchant; and identify a subset of people that appear in the first set and then in the second set. The processor can then generate a conversion rate based on the first set of people and the third set of people. The advertising system is therefore a close-loop system for measuring the effectiveness of advertising.
Content modification system with viewer behavior-based content delivery selection feature
A method includes determining, by a computing system, a probability of whether at least a threshold portion of a particular advertisement will be presented on a particular content presentation device, and a cost associated with presentation of the particular advertisement on the particular content presentation device. The computing system calculates an expected revenue associated with presentation of the particular advertisement based on the probability and the cost. When the expected revenue exceeds a threshold revenue, the computing system communicates the particular advertisement to the particular content presentation device.
Management of cannibalistic ads to improve internet advertising efficiency
Generating a cannibalism score for a paid ad in a search engine results page (SERP) by gathering keywords relevant to an advertiser, defining rules that compute a cannibalism score for the ad in relation to a corresponding unpaid listing, where the cannibalism score estimates the reduction in revenue to the advertiser due to the ad appearing in the same SERP as the corresponding listing, providing a keyword to a search engine, receiving a SERP from the search engine, determining the position of a first ad placed by the advertiser from among one or more ads in the SERP, determining the position of a corresponding unpaid listing from among a plurality of unpaid listings in the SERP, and applying the rules to the ad and to the corresponding unpaid listing to obtain a cannibalism score for the ad.