Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new online and offline business methods based on online consumer behavior.

Abstract: A first set of usage data for a first set of resources on a network and a second set of usage data for a second set of resources on a network are accessed. The first set of resources were accessed by a first group of client systems and the first set of usage data is determined based on information received from the first group of client systems sent as a result of beacon instructions included with the first set of resources. The second set of usage data is determined based on information received from monitoring applications installed on a second group of client systems that accessed the second set of resources. Users of the second group of client systems are a sample of a larger group of users that use resources on the network. Initial usage measurement data for a third set of resources on the network is determined based on the first set of usage data. The third set includes one or more common resources that are included in the first set of resources and the second set of resources.

Abstract: Usage data representing the access of a set of resources on a network is accessed. The usage data is based at least in part on information received from client systems sent as a result of beacon instructions included with the set of resources. First and second sets of usage data representing access by client systems classified as a first type and a second type, respectively, are determined based on the accessed usage data. Counts of unique visitors accessing the network resources from each of the first and second types of client systems, based on the first and sets of usage data, respectively, are each determined. A total count of unique visitors accessing the network resources from the first and second types of client systems is determined based on data representing the usage overlap of devices of the first type with devices of the second type.

Abstract: An appliance for analyzing a network interaction is disclosed. The appliance includes an input to monitor network traffic that includes a network interaction without interfering with the network traffic. The appliance further includes a processor to analyze network traffic to derive information about the network interaction wherein the information about the network interaction is used to distinguish whether the network interaction is a qualified network interaction with a user.

Abstract: Systems and methods for capturing user engagements with Ad content included in a webpage. An example method renders a webpage having an Ad unit within a browser on a display of a user's computer. Then, a cursor event for an Ad unit included in the rendered webpage is recorded based on cursor position relative to an area on the webpage associated with the Ad unit and the recorded cursor event is transmitted to a server via a network for reporting to interested parties. The cursor event includes an initial cursor entry event, any click actions or any hover actions, and all related timings of such events. The recordation of a cursor event is further based on location information associated with the browser within the display, the webpage within the browser and the ad area within the webpage.

Abstract: Panel and census data representing accesses by sets of users with multiple types of media platforms to media content associated with multiple media entities is accessed. An overlap in the accessed panel data that represents users who have accessed media content associated with the media entity with more than one of the multiple types of media platforms is determined. Based on the accessed panel data, the determined overlap in the accessed panel data, and the accessed census data, an overlap function that estimates an overlap in the accessed census data is derived. The derived overlap function is applied to census data associated with a media entity to estimate an overlap in the census data associated with the media entity. The overlap in the census data represents users who have accessed media content associated with the media entity with more than one of the multiple types of media platforms.

Abstract: Tuning data representing a television viewing event associated with a particular household is accessed. Household member data representing information on individual members of the particular household is accessed. Viewing profile data representing information on individual members of other households regarding viewership by the individual members of the other households is accessed. Fractional viewership values for the individual members of the particular household are determined based on the tuning data, the household member data, and the viewing profile data. Household viewership data is determined based on the fractional viewership values.

Abstract: A combined reach can be determined for multiple resources. Usage data, including audience duplication data, is used to generate audience duplication measurements for pairs of the resources. A child-resource pair is identified, and the audience duplication measurement for that resource pair is modified. The modified measurement is used to determine a combined reach for the multiple resources. A report is also generated based on the combined reach.

Abstract: A method and system for analysing and measuring multiple sources of data over a communications network (18) so as to ascertain information or usage of one or more resources, such as resource servers (2). A data collection and processing means (20) collects and processes the data sources which are forwarded to a reporting server (34) as a combined data source made available to interested parties.

Abstract: A system may analyze beacon data over a particular period of time in order to estimate a total number of unique devices that visited web entities during that period.

Abstract: An identifier associated with a client machine is accessed, and parameters that define a control group of client machines for a particular advertising campaign are accessed. The advertising campaign is associated with one or more standard advertisements. Whether the client machine is a member of the control group based on the identifier associated with the client machine and the parameters that define the control group is determined. If the determination of whether the client machine is a member of the control group indicates that the client machine is a member of the control group, a control advertisement is caused to be presented on the client machine. The control advertisement is an advertisement not associated with the advertising campaign.

Abstract: Transferring metadata is disclosed. Information about a network interaction is processed to generate metadata describing the network interaction. Based on the metadata it is determined whether the metadata is to be transferred to an aggregator. In the event that the metadata is to be transferred, one or more aggregators are determined to which the metadata is to be transferred. The metadata is transferred to the one or more aggregators.

Abstract: Requests for data received from multiple subscribers are accessed. At least some of the requests for data originate from one or more addresses associated with a particular subscriber of the multiple subscribers. The accessed requests for data are organized into sets of requests based on the one or more addresses such that a set of requests corresponds to the particular subscriber, and a characteristic of the particular subscriber is determined based on aspects of the set of requests corresponding to the particular subscriber and a behavior model.

Abstract: The effectiveness of advertisement(s) that are included in an advertising campaign may be determined by displaying a control advertisement to a control group of webpage visitors and inviting the users in the control group and/or the users exposed to the advertisement(s) that are in the campaign to complete a survey regarding the advertisement(s) or overall objectives of the campaign.

Abstract: An identifier associated with a client machine is accessed, and parameters that define a control group of client machines for a particular advertising campaign are accessed. The advertising campaign is associated with one or more standard advertisements. Whether the client machine is a member of the control group based on the identifier associated with the client machine and the parameters that define the control group is determined. If the determination of whether the client machine is a member of the control group indicates that the client machine is a member of the control group, a control advertisement is caused to be presented on the client machine. The control advertisement is an advertisement not associated with the advertising campaign.

Abstract: A system to collect personal and demographic data from user's of cellular mobile communications system devices. This system uses a standard web browser to collect the personal and demographic data instead of the device itself because of the limited interactive experience available to cellular mobile communications system device users. After obtaining data from the user including the user's cellular mobile communications system device's cellular phone number, a message is sent to the device. When a link is the message is activated a small event collection data software module is downloaded to the cellular mobile communications system device. The return message to the data collection entity incorporates the cellular mobile communications system device's International Mobile Equipment Identifier (IMEI) number. This number then ties the event data collected by the module to the personal and demographic information collected from the cellular mobile communications system device user.

Abstract: A first set of usage data for a first set of resources on a network and a second set of usage data for a second set of resources on a network are accessed. The first set of resources were accessed by a first group of client systems and the first set of usage data is determined based on information received from the first group of client systems sent as a result of beacon instructions included with the first set of resources. The second set of usage data is determined based on information received from monitoring applications installed on a second group of client systems that accessed the second set of resources. Users of the second group of client systems are a sample of a larger group of users that use resources on the network. Initial usage measurement data for a third set of resources on the network is determined based on the first set of usage data. The third set includes one or more common resources that are included in the first set of resources and the second set of resources.

Abstract: An appliance for analyzing a network interaction is disclosed. The appliance includes an input to monitor network traffic that includes a network interaction without interfering with the network traffic. The appliance further includes a processor to analyze network traffic to derive information about the network interaction wherein the information about the network interaction is used to distinguish whether the network interaction is a qualified network interaction with a user.

Abstract: A first set of data including a first tracking identifier for a first webpage component and a destination address for the first webpage component is accessed. A second set of data that includes an address for retrieving a second webpage component, is accessed. The address includes a second tracking identifier. Whether the second tracking identifier is the same as the first tracking identifier is determined. The second webpage component is associated with the destination address when the second tracking identifier is the same as the first tracking identifier.

Abstract: Information associated with responses and requests that result from one or more selections of a webpage component is collected. The webpage component corresponds to at least one identifier. At least one set including the at least one identifier and the collected information associated with the responses and requests is determined. A destination webpage for the webpage component corresponding to the webpage component based at least on the information associated with the responses and requests is determined.