The present disclosure provides methods, systems, and computer-readable media for performing at least the following: receiving a definition of a geographical zone; calculating at least two vectors of propagation to be tracked within the geographical zone, determining a first and second vector of propagation to qualify a mobile computing device tracked within the geographical zone; establishing content to be transmitted to consumers within the geographical zone, receiving a first and second content associated with the first and second vector; and qualifying a consumer associated with the mobile computing device for the content based on a comparison a direction of travel of the mobile computing device associated with the consumer with at least one of the first and second vectors.

This disclosure describes systems and methods for managing the reputation of a practitioner, such as a medical practitioner or another professional service provider, by requesting reviews after a procedure or other service has been provided. A targeted patient or client acquisition system leverages the strengthened reputation of the practitioner to acquire target patients. The targeted patient acquisition system identifies a target geographic region for targeted advertisement based on a weighted function of targeting factors for each of a plurality of geographic regions within a travel threshold of an office of the practitioner. A marketing management subsystem manages the electronic distribution of advertisements to individuals within the identified target geographic region. Calculated profitability metrics of new patients acquired via the targeted advertisements are used to adjust the target geographic region.

An information processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the instructions to: generate viewing data relating to viewing of a content to be output according to an output schedule; determine whether to change the output schedule, based on the viewing data of which a predetermined value relating to the generated viewing data does not satisfy a predetermined target value; and change the output schedule, based on a result of the determination, in such a way that a predetermined value relating to the viewing data satisfies the predetermined target value.

Systems and methods for verifying an advertisement impression in a digital environment are provided. In some aspects, methods of the subject technology include operations for defining a portion of the digital environment as an impression area, wherein the impression area is associated with a tagged advertisement area, providing a stream of an advertisement to the tagged advertisement area, and updating advertising impression information stored in memory regarding the advertisement, wherein an advertising impression is based on the identification of the character within the impression area and the availability of an unobstructed line-of-sight between the character and the tagged advertisement area. In some aspects, computer readable media are also provided.

A universal identification graph algorithm connects identities across computing devices and digital channels to one customer. The universal identification allow marketers to engage customers with relevant brand experience as they move between devices and across all digital channels. The universal identification graph algorithm enables mapping of a customer's journey across multiple, different identifications, allows deep personalization based on behaviors, habits, and preferences across the entire customer journey, helps create a more comprehensive customer profile to enable marketers to target the customer with relevant content at the right time and through the right channels, and also provides the customer with the ability to quickly opt out.

Embodiments are disclosed for a method that may include accessing events in a field-searchable data store. The events may include raw machine data associated with a timestamp. The raw machine data may represent interactions between a mobile device and one or more network devices at a locale. The method may further include determining, based on the interactions, one or more geographic positions of the mobile device, and calculating a metric for the locale using the geographic positions.

The present invention relates to a system (1) for carrying out estimation and analysis of revenue and subscriber expectations in relation to both a related campaign and campaigns to be conducted in the future when a campaign is over in telecommunication companies conducting mass campaigns and companies being engaged in other sectors.

Systems, methods and computer-readable storage media for determining an outcome of a content promotional message are described. For example, a media network may be configured to transmit content to a plurality of content playback devices, such as a television or a computing device. The content may include a content promotion message configured to promote content, such as a television program or a website, available through the media network. The content promotion message and the content may be associated with network identifiers generated by the media network for tracked content. When the content is played by the content playback device, a device identifier may be generated for the content. The device identifiers may be compared with the network identifiers to determine which, if any, content tracked by the media network has been played by the plurality of content playback devices.

An improved architecture including system and methods for online advertising placement that provide possibly defaulting advertisement tags the opportunity to serve an advertisement ahead of a lower value tag that is guaranteed to fill, resulting in higher CPMs (i.e., Cost Per Mille) for web publishers. The system and methods are configured to deterministically render an advertisement impression from a list of possibly defaulting advertisements in a JavaScript-enabled web browser. The knowledge of the complete outcome of such an ad chain at render-time significantly reduces complexity and latency in the supporting ad server. The system and method centers around a novel JavaScript approach to detect when an advertisement has been loaded but not defaulted. Additionally, the system and methods integrate the network and RTB demand channels by looking at all demand sources simultaneously and selecting the buyer from within the user's browser, and address predictive pricing to further enhance the online advertising placement process.

In an example embodiment, a bid of an impression of a piece of content, while dynamically set at impression time, may be based on a base bid that is something of a rough indicator of what the estimated price will be. That base bid then is adjusted dynamically up or down at impression time. This base bid can be determined by dividing the expected number of impressions for a day by a total daily budget. The expected number of impressions may be determined by using the empirical number of impressions from the previous day. As such, in an example embodiment, the prediction of the number of impressions for a day utilizes a corrected version of the empirical number of impressions from the prior day, with the corrected version based on a specialized formula with weights trained by a machine learning algorithm.