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 detecting online digital activities related to a retail store and originating from customers in the retail store; receiving position information indicating positions from which the detected online digital activities originated; clustering the detected online digital activities based on the position information to provide clusters of detected online digital activities, each cluster being associated with a different region of the retail store; using an image acquisition device to capture images of a particular region of the retail store associated with a particular cluster; analyzing the images to detect a condition of the retail store associated with the detected cluster; and automatically initiating a remedial action to address the detected condition.

One or more computing devices, systems, and/or methods for isolated budget utilization are provided. A first budget pacing component is assigned to control bidding by a first content serving component for a set of content items. A second budget pacing component is assigned to control bidding by a second content serving component for the set of content items. The first budget pacing component controls the bidding by the first content serving component according to a first portion of a content item budget based upon a traffic share of the first content serving component. The second budget pacing component controls the bidding by the second content serving component according to a second portion of the content item budget based upon a traffic share of the second content serving component.

Disclosed are methods, systems, and non-transitory computer-readable medium for transition-coded media, measuring engagement of transition-coded media, and distribution of components of transition-coded media. For instance, the method may include: obtaining a media file; determining whether the media file includes transition-coded media; in response to determining the media file includes the transition-coded media, setting up a dynamic media environment; detecting whether a user is interacting with the transition-coded media; and in response to detecting the user is interacting with the transition-coded media, executing the transition-coded media with the dynamic media environment.

An example system disclosed herein includes programmable circuitry to identify audience measurement panelists associated with database proprietor accounts, when a sign- out percentage of the audience measurement panelists is zero, determine a first probability that a second server of a database proprietor associated a first demographic with a logged impression when the logged impression corresponds to a second demographic, when the sign-out percentage of the audience measurement panelists is one hundred, determine a second probability that the second server of the database proprietor associated the first demographic with the logged impression when the logged impression corresponds to the second demographic, determine an adjustment factor based on a weighted combination of the first and second probabilities, and apply the adjustment factor to database proprietor impressions data to reduce a computer-generated error.

The present invention discloses an analysis system for advertising effectiveness comprising a user data receiving module, a merchant visiting data analysis module and an advertising effectiveness processing module. The user data receiving module derives a target advertising audience data cluster from first raw data which are advertisement data before the advertisement is advertised. The merchant visiting data analysis module sorts a merchant visitor data cluster from second raw data which are advertisement data after the advertisement is advertised. The advertising effectiveness processing module is connected to the user data receiving module and the merchant visiting data analysis module and derives an overlapping proportion of the visitor amount.

Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. In some examples, an apparatus comprising processor circuitry to execute the instructions to at least generate an individualization model based on truth data indicating first true users exposed to media via first panelist client devices, produce user probabilities for second panelist client devices based on the individualization model, the user probabilities indicating likelihoods of second true users being exposed to media via the second panelist client devices, select a user probability from the user probabilities based on an impression, and assign the impression to the set of second true users.

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.

Branded content, or a target asset, may be included in a set of ordered assets based on the category of an anchor asset. Fill rates, total views of the target asset, or a combination may be used in selecting an optimization strategy. A dual optimization may be used to reduce the burden of presentation based on historical yield rates and follow-on rates observed from category transition data. Serendipity may be incorporated in the process through use of a reserve pool of transitions.

A targeted advertising scheduling and displaying process in the context of product terminal displays is made possible by the present invention. An embodiment described herein provides for a first server retrieving digital content from CMS. The first server formats the digital content to be output by at least one product terminal of a plurality of product terminals in accordance with one or more characteristics of the at least one product terminal. Each product terminal of the plurality of product terminals is disposed in a fixed location remote from the first server. The server identifies the at least one product terminal from the plurality of product terminals to output the formatted digital content and causes output of the formatted digital content by the at least one product terminal by transmitting the formatted digital content to a second server associated with the at least one product terminal.

Methods, systems, and media for managing online advertising campaigns based on causal conversion metrics are provided. In some embodiments, the method comprises: receiving conversion information corresponding to test group including consumers that were presented with an advertisement using an advertising channel; receiving advertisement viewability information indicative of a probability that each of the consumers viewed the advertisement; determining that a subset of the consumers did not view the advertisement based on the probability; placing the consumers into a control group and a test group based on the probability corresponding to each of the consumers; calculating a causal conversion metric based on a comparison of the conversion information corresponding to consumers of the control group and conversion information corresponding to consumers of the test group; and determining whether to place an advertisement using the advertising channel based on the causal conversion metric.