Abstract: A system and method for populating and analyzing a member consumer profile database for implementing an incentive driven targeted product marketing program is disclosed. To implement the targeted product marketing program, personal profile information is collected from several member consumers and stored in a profile database. A group of the member consumers are identified and selected, and the promotion operator provides a promotion to this group on behalf of a sponsor. During and/or after the promotion, information is solicited from the member consumer about the promotion in exchange for rewards. In addition, interactive behavior information of the member consumer is tracked. The solicited information and the interactive behavior information can then be used to enrich the profile database for future promotions.

Abstract: A system and method for populating and analyzing a member consumer profile database for implementing an incentive driven targeted product marketing program is disclosed. To implement the targeted product marketing program, personal profile information is collected from several member consumers and stored in a profile database. A group of the member consumers are identified and selected, and the promotion operator provides a promotion to this group on behalf of a sponsor. During and/or after the promotion, information is solicited from the member consumer about the promotion in exchange for rewards. In addition, interactive behavior information of the member consumer is tracked. The solicited information and the interactive behavior information can then be used to enrich the profile database for future promotions.

Abstract: A method of matching a first entity to a second entity by evaluating Boolean expressions includes identifying a set of criteria vertices for a second entity vertex by traversing a graph database in a manner constrained to fact vertices identified for the second entity. The graph database relates fact vertices to the criteria vertices by edges corresponding to Boolean expressions for satisfying criteria for matching first entities to second entities. The method additionally includes selecting one of the first entities based on the criteria vertices of the set. The method further includes matching the first entity to the second entity based on the selection.

Abstract: A method of matching a panelist to a market research project includes accessing, by one or more computer processors, a set of quota cells identified for the panelist and having priorities assigned thereto. The method additionally includes selecting, by the one or more computer processors, a market research project by weighting random selection of market research projects according to the priorities assigned to their respective quota cells identified for the panelist. The method further includes matching, by the one or more computer processors, the panelist to the market research project based on the selection.

Abstract: An online marketing research measurement that allows a user to derive and/or monitor knowledge metrics, such as awareness metrics, recommendation metrics, advocacy metrics, etc. about a target subject, such as the user's brands and/or products using existing data on the Internet. Rather than requiring responses solicited from active participants in a survey (as in traditional surveys), unsolicited opinion data residing on the Internet can be gathered and processed for deriving various types of knowledge metrics. A recommendation metric can be derived from opinion data gathered from the Internet, which reflects a measure of recommendation opinions about the target subject. Users may identify the specific brand in which they are interested. After an Internet crawler is sent out to select data, the engine cleans the results of poor quality data, codes the data according to the appropriate constructs or variables, and then scores the sentiment using the system's sentiment engine.

Abstract: An online marketing research system where users identify a specific brand and/or competitive brands in which they are interested. An internet crawler engine collects sentiments relating to the identified brands according to a sampling method, which may be created by the user. The results from the internet crawler are refined using a refinement engine. The refined sentiments are then scored by a sentiment engine. Users may view the scored results via a user interface, which itself includes an interactive sentiment modeler. The interactive sentiment modeler provides quantified insights and allows users to select types of charts, the constructs, and timelines that are important to them.

Abstract: An online marketing research measurement that allows a user to derive and/or monitor knowledge metrics, such as awareness metrics, recommendation metrics, advocacy metrics, etc. about a target subject, such as the user's brands and/or products using existing data on the Internet. Rather than requiring responses solicited from active participants in a survey (as in traditional surveys), unsolicited opinion data residing on the Internet can be gathered and processed for deriving various types of knowledge metrics. A recommendation metric can be derived from opinion data gathered from the Internet, which reflects a measure of recommendation opinions about the target subject. Users may identify the specific brand in which they are interested. After an Internet crawler is sent out to select data, the engine cleans the results of poor quality data, codes the data according to the appropriate constructs or variables, and then scores the sentiment using the system's sentiment engine.

Abstract: Systems and methods are disclosed for conducting surveys of panelists via mobile devices without requiring persistent network connectivity with the mobile devices. A survey application is downloaded to a user's processor-based device, and executes locally on the device. A survey definition file is generated that specifies various information defining a given survey, such as specific questions to be asked, etc. The survey definition file is downloaded to the user's device. Once downloaded to the user's processor-based device, the survey definition file is interpreted by the survey application executing on the user's processor-based device in order to present a user interface on the user's processor-based device with which a user can interact to take the survey, as defined by the downloaded survey definition file. The survey definition file may be generated by a tool as a result of processing a predefined survey definition file.

Abstract: System and method for optimizing composition of a pool from which members are selected to serve on market research panels are described. In one embodiment, the system includes a database comprising a plurality of member profiles and survey data associated with the members and a datamart for periodically scanning the database to discover events and subsequently logging each of the discovered events in an event log. The system further includes an offense module for periodically evaluating the event log to determine whether one of the discovered events comprises an offense committed by one of the members and logging the offense in an offense log and an audit module for performing an audit of the one of the members and logging results of the audit in an audit log.