An information processing apparatus includes a predicting unit that predicts a first transaction count by which a user performs a commercial transaction of an item when an advertisement explaining the item is displayed and a second transaction count by which the user performs the commercial transaction of the item when the advertisement is not displayed, a determination unit that determines a degree of influence that the advertisement has on the commercial transaction of the item from information on the first transaction count and the second transaction count and information on the item, an identifying unit that identifies a combination of an item and an advertisement, the combination having a maximum degree of influence, and a controller that performs control to display the identified combination of the item and the advertisement.

In order to automatically calculate and assess a channel-specific contribution to marketing performance and provide a result of the assessment to a user, an apparatus is provided, which is for providing marketing performance contribution information, the apparatus including a server connected to a network and configured to collect channel cooperation encounter information of a customer and action information of the customer from a plurality of marketing channels, a memory storage configured to store the collected channel cooperation encounter information and action information, and a processing unit configured to calculate a channel-specific contribution on the basis of the channel cooperation encounter information and the action information, wherein the processing unit calculates the channel-specific contribution from a performance index difference due to channel cooperation when a user requests contribution information through a user terminal.

The present invention is a system and a method for collecting advertising data, as well as real-time monitoring and analysis of advertising performance using mobile terminals and a network.

The present invention relates to a computerized and automated system and method for monitoring and analyzing performance of advertisement campaigns use a mobile device or a computer and network to communicate with a server and implement an advertisement campaign through the planning, execution, monitoring and analysis and tuning stages. The advertisement campaign operates a campaign with advertisements in different media and provides a common computerized user interface for each of the campaign stages.

An advertising system including one or more advertisements, at least one identification means and a consumer portal, said consumer portal linked to at least one database wherein the database includes data relating to the one or more advertisements and records further data relating to the input of the identification means into the consumer portal such that cost per lead or cost per acquisition advertising models can be applied to printed advertising campaigns.

Systems and methods for measuring brand uplift in a computer networked environment are provided. A data processing system can assign a first set of device identifiers to an experimental arm and a second set of device identifiers to a control arm. Computing devices associated with the experimental arm receive third-party content items promoting a brand for which a brand uplift experiment is performed, while computing devices associated with the control arm do not receive third-party content items promoting the brand. At the end of the experiment, a brand uplift metric value is computed by analyzing search query logs of the computing devices. The brand uplift metric value is then provided to an advertiser for display.

A business monitoring system is described herein that brings together the previously separate worlds of social media and offline secret shopper and similar programs. With the business monitoring system, owners of brands are able to monitor the local voice of the customer to detect local and regional trends in sentiment and activity, build benchmarks and goals for local storefronts, evaluate in-store operations and customer service trends, and measure the local impact of marketing and advertising initiatives. The system collects and analyzes signals from online sources, producing reports, analytics, benchmarks, and alerts regarding offline activity at the local/store-front level. The system normalizes the signals from various sources, analyzes the signals at the individual location level, aggregates the data across various dimensions, builds benchmarks for comparison, and fires triggers notifying appropriate people upon detecting a meaningful variance. Thus, the system provides a rich and timely set of information to business decision makers.

A first electronic message being widely disseminated can be identified. First content of the first electronic message can be analyzed and a determination can be made as to whether the first content satisfies at least a first criterion. Responsive to determining that the first content satisfies at least the first criterion, a second electronic message including second content can be automatically generated. Communication of the second electronic message to a first set of people can be initiated, and responses by the first set of people to the second electronic message can be monitored. A determination can be made as to whether the responses satisfy at least a second criterion. Responsive to determining that the responses satisfy at least the second criterion, the second electronic message can be communicated to at least a second set of people.

High conversion rate content can be displayed with primary content from one or more publishers in order to determine whether the content is being displayed to human users or provided to automated processes such as robots. Convertible content such as advertising will generally result in conversions or other actions within an expected range of occurrences. Convertible content performing significantly below the range can be indicative of robotic traffic. Such determinations can be difficult for publishers with low volume traffic, however, as there may not be sufficient data to make an accurate determination. For such publishers, or users viewing content for such publishers, high conversion rate content can be displayed that will allow such determinations to be made with fewer data points. The rates can be used to determine robotic users, which can be blocked, as well as to determine poorly performing placements of the content by the publishers.

A system and method for contextually enriching a concept database. The method includes determining, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of third concepts stored in the concept database, at least one matching first concept among the plurality of third concepts; generating a reduced representation of the first MMDE; comparing the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching MMDEs among the plurality of second MMDEs; generating, based on the reduced representation of the first MMDE and the signatures representing the plurality of matching MMDEs, a second concept; and generating at least one context based on the second concept and the plurality of third concepts, wherein each context includes at least one common pattern among the second concept and at least one of the plurality of third concepts.

A system and method for providing augmented reality challenges. The method includes obtaining at least one multimedia content element; causing generation of at least one signature for each obtained multimedia content element; determining, based on the generated signatures, at least one augmented reality challenge; identifying, based on the determined at least one augmented reality challenge, at least one augmented reality object; creating at least one challenge multimedia content element by causing addition of the at least one augmented reality object to the obtained at least one multimedia content element; and causing a display of the created at least one challenge multimedia content element.