A system provides consumers more product information to make informed buying decisions as well as recommendations, promotional messages, or couponing associated with a selected or related product. When used in a retail environment, radio or visual tagging of the products, displays, or retail shelf allows a mobile or other computing device to read a unique identifier and use it to retrieve the product information from a remote server. In some embodiments, structured identifiers indicate particular sources, product lines, production batches, marketing channels, retail destinations, and the like. In others, the information is retrieved as a function of one or a combination of products that the consumer has considered during a single in-store shopping trip.

A method and system for dynamically establishing content advertisements where the method comprises the steps of (a) receiving a content request from a user device where said request includes information for identifying said user, (b) obtaining the profile of the user from said identification information of the user, (c) obtaining an advertising plan for said content requested for said user based on the profile of said user and the advertising spaces available in said content where said obtainment of the plan comprises the steps of (i) selecting a first set of advertisements, the target audience of which has the same characteristics as those of the profile of said user, (ii) selecting a subset of said first set of advertisements which fulfill the following: they have not fulfilled the coverage objective or is not within the coverage range which they had fixed and they have not fulfilled the objective number of impacts or is not within the range of advertising impacts for said user, or they have fulfilled the coverage objective or is within the coverage range which they had fixed, they previously impacted on this user and have not fulfilled the objective number of impacts or is not within the range of advertising impacts for said user and (iii) selecting a subset of the subset obtained in the previous step (ii) which fits into the advertising spaces available for said content; (d) including said advertisements obtained in (c) in said advertising spaces of said content and (e) showing said content with said advertisements on the user device (110).

A system, method and computer program product for providing targeted messages to a person using telephony services by generating user profile information from telephony data and using the user profile information to retrieve targeted messages.

A method for caching targeted webpage content is disclosed. In one embodiment, such a method includes dividing a cacheable content pertaining to a website into a static portion and a dynamic frame for displaying visitor targeted content. The method determines a result for one or more targeting rules applied to a visitor's activity on a portion of the website and provides the result to the visitor's browser. The method further includes loading the dynamic frame of the cacheable content with visitor targeted content based on the provided result. A corresponding apparatus and computer program product are also disclosed.

Methods and apparatus are disclosed regarding an e-commerce system that places customers into a plurality of clusters and tailors services provided to a customer based on the cluster in which the customer is placed. In one embodiment, the e-commerce system defines the clusters based on purchase history data for customers having sufficient purchase history data. The e-commerce system then places customers without sufficient purchase history data into one of the defined clusters based on demographic data for the customer and demographic data for the customers in the cluster.

Techniques are described herein for predicting one or more behaviors by an email recipient and, more specifically, to machine learning techniques for predicting one or more behaviors of an email recipient, changing one or more components in the email to increase the likelihood of a behavior, and determining and/or scheduling an optimal time to send the email. Some advantages of the embodiments disclosed herein may include, without limitation, the ability to predict the behavior of the email recipient and suggest the characteristics of an email which will increase the likelihood of a positive behavior, such as a reading or responding to the email, visiting a website, calling a sales representative, or opening an email attachment.

A system and method for providing personalized recommendations or promotional information to consumers based upon a recommendation algorithm selected from a number of recommendation algorithms, by matching personal contextual information of each consumer to detailed contexts in which each recommendation algorithm exhibits optimal performance with regard to particular business performance measures.

A method and computer-readable medium for carrying out a promotional campaign, comprising: identifying at least one influencer of at least one target of the promotional campaign; identifying at least one indicator of association between the influencer and a brand associated with the promotional campaign; and releasing towards the target a data element derived from the indicator of association.

Systems and methods are for identifying online advertisements to display to a user based on historical user data collected across the user's use of a plurality of Internet devices. One method includes receiving, over a network, a request for an advertisement to display at a first device of the user, the request including a unique identifier stored on the user's first device; accessing, in a database, a demographic or browsing history information generated from the user's use of a second device, the demographic or browsing history information being stored in the database in relation to the unique identifier; and identifying, based on the demographic or browsing history information, an advertisement to display at the user's first device. The demographic or browsing history information is synchronized based on the unique identifier being stored on the user's first device and the user's second device.

A method and apparatus of applying user profile information to a customized application are disclosed. One example method of operation may include receiving an inquiry from a user device at a customer call center server and identifying and authorizing the user from the received inquiry. The method may also provide retrieving a user profile from memory that includes history information based on previous interactions between the user device and the customer call center server and calculating a prediction as to a purpose for the inquiry. The prediction may be based on user profile history, social networking profile information, recent transactions, etc. The method may also provide transmitting a response to the inquiry based on the calculated prediction.