One-to-one digital media modeling systems and methods are disclosed for optimizing digital media reach within digital networks. A data seed is generated that defines a seed audience of users defined by targeting criteria for a digital media asset. The data seed is provided to a lookalike algorithm that applies the data seed to a userbase comprising user data of additional users to generate a lookalike media model comprising a campaign audience dataset defining a plurality of audience datasets having a relevancy score and each having users selected from the seed audience or the additional users. An exposed lookalike audience dataset is created by merging each of the plurality of audience datasets having the relevancy score above a relevancy threshold value, wherein the exposed lookalike audience dataset defines a subset of targeted users. The digital media asset is then transmitted across a digital network for display on a user device.

A method to solicit a user generated response to determine if a consumer made a purchase is provided. The method includes retrieving a transaction information when a consumer is in a point of sale at a retail store. The transaction information is indicative of a purchase of one or more items identified with a unique product code. The method also includes providing, to the consumer, a transaction card indicative of at least a portion of the transaction information; requesting, from the consumer, a validation of the purchase and providing the transaction information to a server when the purchase is validated by the consumer. The method also includes allowing the consumer to modify the transaction information upon request. A system and a non-transitory, computer-readable memory storing instructions to perform the above method are also provided.

Methods and apparatuses are described for automated optimization and personalization of customer-specific communication channels using feature classification. A server captures historical interaction data comprising a channel type, a user identifier, an interaction date, and a user response value. The server generates a channel feature vector for each combination of channel type, user identifier, and interaction date. The server identifies features from the channel feature vectors for each different channel type and aggregates the features into a common feature vector. The server executes a trained classification model on the common feature vectors to select user identifiers for each different channel type that have an engagement probability value at or above a corresponding threshold. The server determines, for each different channel type, a distance value between the engagement probability value and the corresponding threshold and communicates with a remote computing device via a channel that is associated with an optimal distance value.

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.

An addressable asset system (100) includes user equipment devices (UEDs) (102), a cloud decisioning system (CDS) (106) and a business data management system (BDMS) (108). The BDMS (108) collects information that is used by the CDS (106) to manage delivery of assets by the UEDs (102). In an exemplary network architecture, the CDS (106) is independent of the network insertion and delivery equipment. In particular, the broadcast content stream is delivered to the UED (102) by a digital content management (DCM) system (110) and certain assets are separately delivered to the UED (102) by the asset download network (ADN) (112). This allows the CDS (106) to remain independent of the network of the UED (102) such that the CDS (106) can operate across networks.

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.

The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

A system and method are provided for local network public notification negotiation. A local network includes a plurality of neighborhood media nodes and each neighborhood media node is configured to project a plurality of n media message per a first time period to a general public. The media messages can be public service announcements, such as traffic or weather conditions, or public library hours to name a few examples. An interface associated with the neighborhood media nodes accepts local network program choices including neighborhood media node selections cross-referenced to media message selections. A local arbitrator arranges media messages for each node, resolves local network program choice conflicts, and supplies a local network selection decision to the neighborhood media nodes. The neighborhood media nodes project media messages in response to the local network selection decision. The media nodes can also be enabled to project messages from intra-neighborhood and remote sources.

The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.