Abstract: Systems and methods of evaluating performance of an information resource in a computer networked environment are provided. A data processing system can obtain a request for a performance metric of an information resource. A number of visits to the information resource by an audience segment, and an aggregate number of visits to the information resource can be determined and used to identify a first metric. A global audience segment number and a global aggregate audience number can also be determined and used to identify a second metric. A performance metric associated with the information resource can get determined based on the first metric and the second metric.

Abstract: A request for aggregate data stored in an aggregates database is received from a client device. A key-to-value dimension widening rule that applies to an aggregated data element of the requested data is identified. The key-to-value dimension widening rule includes a value dimension. A quantity of data elements that combined to form the aggregated data element is determined. A widened value dimension for the aggregated data element is calculated using the determined quantity and the value dimension. The widened value dimension is reported to the client device in response to the request.

Abstract: Systems and methods of evaluating performance of an information resource in a computer networked environment are provided. A data processing system can obtain a request for a performance metric of an information resource. A number of visits to the information resource by an audience segment, and an aggregate number of visits to the information resource can be determined and used to identify a first metric. A global audience segment number and a global aggregate audience number can also be determined and used to identify a second metric. A performance metric associated with the information resource can get determined based on the first metric and the second metric.

Abstract: A request for aggregate data stored in an aggregates database is received from a client device. A key-to-value dimension widening rule that applies to an aggregated data element of the requested data is identified. The key-to-value dimension widening rule includes a value dimension. A quantity of data elements that combined to form the aggregated data element is determined. A widened value dimension for the aggregated data element is calculated using the determined quantity and the value dimension. The widened value dimension is reported to the client device in response to the request.

Abstract: Systems and methods of evaluating merchant performance in a computer networked environment are provided. A data processing system can obtain ecommerce traffic data identifying a product, and can obtain, separately from the ecommerce traffic data, catalog data not present in the ecommerce traffic data. Subsequent to obtaining the ecommerce traffic data and the catalog data, the data processing system can receive a query for a report. The query can include a key identifying the product. Using the key and responsive to the query for the report, the data processing system can direct a plurality of report generation servers to join at least part of the ecommerce traffic data with at least part of the catalog data to create joined data. The data processing system can generate the report, including the joined data, and the data processing system can provide the report to a merchant computing device.