Patent classifications
G06Q30/0244
METHODS AND APPARATUS FOR ESTIMATING TOTAL UNIQUE AUDIENCES
Disclosed examples determine a unique audience exposed to media while reducing memory resources of a computing device. Example instructions program programmable circuitry to log a plurality of impressions corresponding to media accessed at client devices; generate a first value based on a count of the impressions and a count of users of a database proprietor that accessed the media; generate a second value based on the first value and a count of demographic impressions logged by the database proprietor; and determine a unique audience size based on the second value.
METHOD AND A SYSTEM FOR ADAPTIVE ADVERTISING AND INFORMATION
The invention relates to means for advertising and informing. The technical result is to expand the functional capabilities of a method and a system for advertising and informing, to raise the effectiveness of same and to expand the existing range of advertising methods. A method of adaptive advertising and informing consists in arranging a peripheral processor in a bag/backpack, equipping the bag/backpack with a video camera and a screen/display which are connected to the peripheral processor and are aimed outward so that an image of people entering the field of view of the video camera can be read with the aid of said video camera, and allowing the visualisation of photo and/or video material on the screen/display according to display criteria set by the user, the continuous monitoring for compliance with said display criteria, the termination of display if one or all of the display criteria are not met, and the generation of a post-display report to allow subsequent processing and analysis of the corresponding data.
METHODS, SYSTEMS, APPARATUSES, AND DEVICES FOR FACILITATING A DRIVER TO ADVERTISE PRODUCTS TO PASSENGERS
Disclosed herein is a device for facilitating a driver to advertise products to passengers, in accordance with some embodiments. Accordingly, the device may include a presentation device, an input device, a storage device, a monitoring device, a processing device, and a communication device. Further, the presentation device is configured for presenting a product list to the driver and presenting an advertisement of a product to a passenger. Further, the input device is configured for receiving a selection of the product. Further, the storage device is configured for retrieving the advertisement. Further, the monitoring device is configured for generating monitoring data based on monitoring the presenting of the advertisement. Further, the processing device is configured for analyzing the monitoring data and generating a driver reward and a passenger reward. Further, the communication device transmits the driver reward to a driver device and the passenger reward to a passenger device.
INFORMATIVE APPARATUS AND METHOD
An apparatus, system, and methods for displaying information and advertisements in public or private venues including a body portion adapted to a seat structure or other seat supported apparatus, either as a base unit or a retrofit apparatus, wherein the seat structure or seating apparatus may provide the structure and housing for electronics necessary to power and control an electronic display that may be disposed on an adjustable modular bracket system that may be attached to a seat, a seat back, a cupholder, a cupholder attachment apparatus, a portable or mobile device attachment apparatus, which may be accessible, visible, and/or useable by a patron at a public venue.
Systems and Methods of Delegated Analytic Collection
A method including tagging a feature of a mobile application as an event generator, in response to a user interacting with the feature of the mobile application on a mobile device, generating an event having an event type, requesting, by an interaction measurement software development kit (SDK) from the mobile application, interaction data associated with the user interaction with the mobile application based on the event type, and securely transmitting, by the interaction measurement SDK, the interaction data to a first computing device indicated by the interaction measurement SDK.
SYSTEM AND METHOD FOR INDIVIDUALIZED EXPOSURE ESTIMATION IN LINEAR MEDIA ADVERTISING FOR CROSS PLATFORM AUDIENCE MANAGEMENT AND OTHER APPLICATIONS
A system and method for advertisement exposure forecasting are described herein, which advantageously provide viewer-level advertisement exposure forecasting for linear media platforms. Based on historical viewing data, a viewing proportion estimation model is trained for each of a plurality of viewers/devices. A plurality of viewing proportions is determined with respect to a plurality of future programs for each of the plurality of viewers/devices. Based on the plurality of viewing proportions, a reach and frequency of an advertising campaign are determined based on advertisement spot counts for each future program that is involved in the advertising campaign.
System and method for mobile media distribution
A system and method are provided for location-targeting the provision of media distributed by a mobile platform. The method provides a mobile platform with an attached media projection subsystem, and an identifier associated with the media projection subsystem. The media projection subsystem is selectively enabled, the geographic location of the mobile platform is determined, and the identifier and the enablement of the media projection system are verified. Verification information, including the mobile platform (media projection subsystem) location, identifier, and enablement of the media projection subsystem is communicated to a server and stored in a non-transitory memory. A targeting application may direct the system to a target location in cooperation with analyzing the verification information, weighted for factors such as proximate vehicular traffic, line of sight, proximate pedestrian traffic, proximity to cultural events, proximity to cultural facilities, the time of day, and the length of time the media is being projected.
Real-time video ad evaluation
There are disclosed devices, system and methods for predicting a likelihood of whether digital video ads will start on a given user device using a predictive model of the user device. The predictive model simulates a start of play in the user device and determines if the digital video ad started to play.
SYSTEM AND METHOD FOR COLLECTING DATA TO ASSESS EFFECTIVENESS OF DISPLAYED CONTENT
A system and method for rapidly and scalably tracking attentiveness. The system includes means for collecting relevant data streams from a plurality of client devices while consumers view content, means for analysing the collected data with an AI-driven module that outputs one or more attentiveness metrics indicative of real attention, and means for synchronising the collected data with the attentiveness metrics. The system provides the ability to synchronise attentiveness metrics with other data streams to make accessible the reasons that drive attention. A digital advertising campaign can be optimised using an effectiveness data set that expresses evolution over time of an attentiveness parameter. An effect on the attentiveness parameter caused by an adjustment to a target audience can be predicted and evaluated against a campaign objective, which can be updated for predictions that yield a positive effect.
Systems and methods for priority-based optimization of data element utilization
Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving a selection of a first objective and a second objective, the first objective and second objective comprising goals associated with distribution of a plurality of data elements; receiving an indication that the first objective has a higher priority than the second objective; receiving a first goal metric associated with the first objective and a second goal metric associated with the second objective; determining a first forecasted metric based on the first goal metric associated with the first objective; determining a second forecasted metric based on the second goal metric associated with the second objective; and allocating resources for the distribution of a plurality of data elements based on the first goal metric, the second goal metric, the first forecasted metric, the second forecasted metric, and the indication that the first objective has a higher priority than the second objective.