Various embodiments relate to an engagement server and a related method of initiating an engagement between an agent device and a user device based on formed and modified engagement rules. In one embodiment, the engagement server can receive one or more third-party analytic reports and use them to form engagement rules that determine when the engagement server initiates an engagement between the agent device and user device. In some embodiments, the engagement server can also receive user interaction data from the user device to modify engagement rules to fit a particular user. In some embodiments, the engagement server can use the third-party analytic reports and/or user interaction data from a plurality of users to form a statistical model. The engagement server may then use the statistical model to form and/or modify the engagement rules.

Analytics driven engagement

An interactive marketing communication and transaction services platform for managing personalized customer relationships. The platform facilitates communication and transactions between consumers, retailers and manufacturers, by helping suppliers customize product/service offerings, presentations and advertising messages to reflect individual consumers' needs, while providing portals with premium advertising messages for personal interactive info/news/entertainment services. The core of the platform consists of i) a central database system with ‘product/retail information’ and ‘holistic purchase-behavior specific consumer profiles’, generated by registering on-line product/retail information retrieved by consumers, as well as purchases made both on-line and in-store, using a loyalty card; ii) software applications, that create ‘market intelligence’ on manufacturer/retailer offers, consumer purchase needs, market performance of products/retailers and impact of brand/retailer presentations and ads on consumer purchase behavior; and iii) standard performance indicators, that make it possible to benchmark individual consumer communication programs against each other.

Marketing communication and transaction/distribution services platform for building and managing personalized customer relationships

In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.

Targeted television advertisements based on online behavior

The system of the present invention provides systems and methods for selling goods and services on, over, through, and in conjunction with the Internet. The system receives session (clickstream) information on a customer's website session from the enterprise's website and may also receive customer information on the customer from the enterprise's CRM or eCRM system. The session information referred to comprises the goods or services the customer is searching and metadata about such search and the relevant products, such as the surfing pattern itself. The system determines from the received information, based on the interaction between matching rules created using the system by the enterprise and the system's matching engine, whether the customer is a candidate for assistance from a sales associate. The system creates and indexes information on available sales associates and their performance, selling capabilities and product expertise. The system further matches the customer with at least one sales associate, ideally the most appropriate sales associate, based on the customer, session, and sales profile associate information, and facilitates communication between the sales associate and the customer. Additionally, the system provides information on the customer, products or services the customer is interested in, and the collateral sales materials (both internal and external to the enterprise) and selling techniques to the sales associate based on the particular sales opportunity. The system facilitates communication between the sales associate and the customer on the basis of chat, voice over IP, email and the public switched telephone network, including the concept of bridging a chat session into a PSTN conference call during which call the sales associate and customer maintain a co-browsing session with regard to the opportunity over the Internet.

Systems and methods to facilitate selling of products and services

A system tracks user actions associated with advertisements. The system may receive information in response to a user action. The system may then determine whether the action performed by the user resulted from an advertisement.

Systems and methods for determining user actions

A method of evaluating Internet advertisement effectiveness that involves collecting Internet activity information associated with a multitude of cookies, and storing the information in a database. An advertisement strategy is generated for evaluation, and a plurality of user segments are established, each having a different Internet activity characteristic. An advertising strategy is assigned to each segment. When a user visits a site where an advertisement is to be served, a cookie is determined. The stored Internet activity information for the cookie is retrieved, and based on the retrieved information, the cookie is assigned to a user segment associated with the retrieved Internet activity information. Then, an advertisement is served based on the assigned advertising strategy.

Method of analyzing internet advertising effects

A method of serving Internet advertisements to users having associated cookies includes receiving a cookie from a user visiting a publisher, then retrieving a database record of past Internet activity associated with the cookie. Based on the record, is it determined whether the cookie is associated with past interactions with any of the advertisers. If the cookie has had interactions with multiple advertisers, an advertisement associated with the advertiser with the greatest level of desired attributes is served. If there are no past interactions, past web activity of the cookie is analyzed to determine the advertiser with the best prospects for success.

Method of selecting an internet advertisement to be served to a user

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Method of analyzing internet advertising effects

Method of selecting an internet advertisement to be served to a user