A system and methods are disclosed that enable advertisers, publishers, and consumers to interact to provide well-targeted advertisement impressions, while preserving consumer privacy. Particularly, the system and methods enable accurate and reliable targeting of advertisements without the need for privacy-invasive tracking and collection of consumer information by advertisers or publishers. Instead, the consumer retains complete control of his or her own private information, even while that private information is used for programmatic targeting of advertisements. The system and methods disclosed herein advantageously utilize blockchain as a tool for arbitrating data, which accounts for and helps to eliminate fraud, costly arbitrage, and brand safety concerns by providing the programmatic advertising ecosystem with trust, permanence, transparency, and auditability.

The effectiveness of advertisements with respect to a group of panelists is measured. Based on the results of such analysis, advertisements and/or variants thereof are selected for presentation to consumers. Effectiveness of advertisements is measured, in one embodiment, by detecting exposure to advertisements, and then monitoring panelist behavior following exposure to an advertisement. In one embodiment, the group of panelists is a representative sample of a larger population, so that observations of panelist behavior can be used as a basis for making decisions regarding presentation of advertisements to a larger audience having characteristics similar to those of the panelists. Once the relative effectiveness for various audiences has been determined, advertisements can be selected for presentation to individual consumers or to groups of consumers, so as to maximize effectiveness. In one embodiment, such analysis and selection is performed substantially in real-time.

An example apparatus includes means for extracting characters from first cookies stored in a first memory space, the first cookies collected from client devices via network communications, and means for storing in a second memory space, a pattern of characters in association with a first demographic to indicate that the pattern of characters and the first demographic are both representative of a same first unique audience member, the storing being in response to determining that at least two of the first cookies (1) include the pattern of characters, and (2) correspond to the first demographic.

An advertising campaign may be carried out using moving outdoor advertising. Advertisers typically like to manage and track the success of their advertising campaigns. Aspects of the present application may be seen to assist with such management and tracking by providing impression analytics, location analytics, time analytics and frequency reports. Furthermore, aspects of the present application may be seen to provide an ability to augment a moving outdoor advertising campaign with a mobile device retargeting advertising campaign. Then, such metrics as return on investment, profit and gross profit may be tracked. In some aspects, Wi-Fi signals and Bluetooth signals may be collected from mobile devices that are in the range of a Moving Impression Analytics Tracking Device.

A method is disclosed for displaying dynamic media content on a vehicle-mounted display as the vehicle travels along a route. The dynamic content may be audio or video content, and is selected based in part on sensor data, which may pertain to contextual or environmental factors. The content may be dynamically adjusted during playback, such as by bouncing or sharply changing direction during a sudden change in velocity or acceleration. Aside from motion-related factors, other contextual and environmental factors include weather, visibility, traffic, location, and time of day.

Aspects of the subject disclosure may include, for example, providing, by a processing system, a user interface presented at a communication device of a broker for managing curated deals in electronic advertising The processing system can obtain, via the user interface, user input comprising pricing data, targeting data, margin data, and assigned buyers. The processing system can generate multiple curated deals based on combinations of prices, targets and margins derived from the pricing data, other targeting data, and other margin data, respectively. Other embodiments are disclosed.

An approach mobile intelligent dynamic advertising is disclosed. The approach includes detecting a presence of pedestrians within a predetermined distance of a vehicle and/or live platform and determining, leveraging machine learning, an advertisement to be displayed to the pedestrians based on predetermined displayed criteria. The approach determines an optimal area or surface for displaying the advertisement and can dynamically alter a layout of the advertisement based various factors.

The disclosure is directed to approaches for combining server-side decisions based on user attributes and/or demographics with client-side decisions based on expressed or implied user interests determined based on the contents of a web page being visited by the user. A server is responsive to an occurrence of an operation of a client device at the web page. Processing steps determine particular executable web page content to send to the client device (e.g., where the particular executable web page content is determined in response to a particular client-side operation). The web page is rendered with the aforementioned executable web page content. Server-side processing receives messages that are emitted conditionally, based on the occurrence of a user event. An event log message comprises a portion of the web page, such as a string, indicating or implying user interest. A targeted advertisement is presented to the user based on the user interest.

A system and method for quantifying impact of script error exceptions on performance of an online retail platform. A method includes selecting at least one performance metric for a webpage, wherein the selected performance metric has an impact due to at least one script error exception encountered on the webpage visited by a first user device; retrieving a normal value for each of the at least one selected performance metric for the webpage visited by a second user device; retrieving an abnormal value for each of the at least one selected performance metric for the webpage visited by the second user device; comparing the abnormal value to the normal value of a respective selected performance metric; and determining a performance impact score based on the comparison, wherein the performance impact score is indicative of a reduction in a performance metric of each of the least one selected performance metric.

A computer implemented method includes allocating to an advertisement campaign, planned bookings for certain time periods and for certain digital displays from an Out Of Home inventory. The method also allocates, by a real-time bidding process, unplanned bookings to the time periods. Forecasts of unplanned bookings demand are taken into account in allocating planned bookings.