A method, a device, a storage medium and a terminal for pushing advertisement. The method includes: during a video playing process, determining an object picture in a frame of the video; matching the object picture with a corresponding advertised commodity picture in an advertisement database and then generating a corresponding object advertisement data based on the advertised commodity picture, or recognizing an object name based on the object picture, then obtaining a corresponding object advertisement data according to the object name; and pushing the object advertisement data to the terminal. When the server pushes the advertisement data corresponding to the object, the user can directly access the object's commodity page through the object advertisement data, and it is no longer necessary for the user to search on the official website or third-party service platform to access the object's commodity page, improving the accuracy of advertising and the user experience.

A system for video generation having a computer, a database in data communication with the computer, a plurality of blueprints and a user device in data communication with the computer. The computer receives at least one asset and a selection of a blueprint from the user device. The computer generates a video based on the at least one asset and the blueprint associated with the selection. The computer is in data communication with at least one advertising platform which receives the video and displays the video. The advertising platform generates performance data based on the display of the video. The computer generates a second video based on the at least one asset, the blueprint associated with the selection, and the performance data.

A technique is provided to determine whether a region within a web page is viewable to a user through a browser window. Often, browsers will only show part of a web page at given time, creating a difficulty in establishing whether a region of the web page, which may be an advertisement for example, is in view. This is addressed by providing one or more test features within the region, rendering the web page, monitoring a behavioural characteristic of the test features and determining whether the region is in view based on the monitored behavioural characteristic, wherein the behavioural characteristic varies according to whether the test feature is currently being displayed. One example of a behavioural characteristic is a frame progression rate. Browsers will typically redraw elements of a web page at a higher rate if they are currently in view through the browser window, and this characteristic can therefore be used to determine whether the test feature, and thus the region, is in view. The present invention finds particular utility where the region contains an advertisement, as it allows an advertiser to discover whether the advertisement has been seen by users.

The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Methods and apparatus to monitor media presentations are disclosed. Disclosed example apparatus include memory, instructions, and at least one processor to execute the instructions to at least receive demographic information from a user, transmit the demographic information to a central facility, cause storage of a consent identifier in a pasteboard of the media device, the consent identifier accessible to a first instrumented application and a second instrumented application executed in a sandbox environment, the consent identifier to indicate to the first instrumented application and the second instrumented application that monitoring is allowed, access the consent identifier from the pasteboard, present media, generate monitoring information if the consent identifier permits collection of monitoring information, not generate monitoring information if the consent identifier does not permit the collection of the monitoring information, and transmit the monitoring information to the central facility.

At least one aspect is directed to determining an estimate of an intersection of user identifiers in a first set of user identifiers and a second set of user identifiers. The first and second sets of user identifiers can be populated with user identifiers that have interacted with the same content item or content item campaign. Estimates of intersections of the first and the second sets can be determined based on a binomial vector approach, a vector of counts approach, or a hybrid approach. The binomial vector approach generates vectors based on k hashes of each user identifier in the first set and summing the vectors to generate a first vector. The intersection can be determined based on a dot product of the first vector and a second vector similarly generated from the second set of user identifiers.

A system and method for attributing in-store visits to exposure to advertisement (“ad”) impressions associated with an ad campaign are disclosed. The system gathers impression data and uses that data to identify users who were exposed to the ad impressions. The system then uses location data, activity information and in some instances beacon data points reported by mobile devices of the impression users to determine if the impression users visited a target place during a conversion window. Based on the impression users who were exposed to the ad impressions, the system establishes a control group of users who were not exposed to the ad impressions to perform quasi-experimental analyses to assess whether the ad impressions had any impact on changing the impression users' physical in-store visitation behavior.

Systems, methods, and non-transitory computer-readable media can determine a set of mappings between vectors in a first dataset associated with a first party to a set of shared universal identifiers based on a secure multi-party computation. A set of mappings can be determined between vectors in a second dataset associated with a second party to the set of shared universal identifiers based on the secure multi-party computation. Membership information for each vector in the first dataset can be obtained. The membership information indicating whether an individual associated with the vector is assigned to a test group, a control group, or neither. Conversion information for each vector in the second dataset can be obtained. The conversion information indicating whether an individual converted. Conversion counts for the test group and the control group can be determined based at least in part on the membership information and the conversion information.

A quantification system is configured for debiasing media creative efficiency. In some embodiments, the quantification system leverages a weighted generalized linear model (GLM) to determine the individual impacts of media creatives beyond network effects. To prepare input data for fitting the weighted GLM, the quantification system analyzes spot airing data, creates a specific data structure for storing observations (e.g., network-media creative combinations) that can be provided to the weight GLM as input, and computes additional input data points needed by the weighted GLM (e.g., network spend, media creative efficiency per network-media creative combination, etc.). The weighted GLM is then fitted to obtain coefficients representing the individual impacts of the media creatives. The quantification system utilizes the computed impacts to adjust the previously computed media creative efficiency for each media creative. In this way, relative performance of media creatives can be objectively quantified across networks without needing digital evidence.

A media creative attribution method includes determining a response profile within an attribution time window, the response profile being a portion of a unique visitor (UV) curve associated with a website. In some cases, a shadow baseline analysis is run on every media creative that aired within an extended time window to determine whether to adjust the response profile. A total lift within the attribution time window is determined utilizing a baseline of the UV curve. A weight for each media creative that aired within the attribution time window is determined. Utilizing the weight, the total lift is allocated to individual media creatives that aired within the attribution time window. The allocated attribution can be utilized to generate performance metrics relating to the individual media creatives that aired within the attribution time window. The performance metrics such as cost per visitor can be visualized through a user interface or dashboard.