Abstract: Particular embodiments comprise a method for estimating the value of an organic marketing campaign. A computing device receives an identification of one or more entry pages associated with a website, as well as one or more keywords related to the entry pages. The computing device may determine conversion data, wherein the conversion data is based on traffic information identifying visits to at least one of the entry pages, and wherein the visits comprise organic referrals from a search engine. Using the keywords, the computing device may retrieve organic search results from the search engine, and then analyze the organic search results to determine rank positions of the entry pages. Finally, the computing device may identify a correlation between the rank positions of the entry pages, the conversion data, and the keywords.

Abstract: Embodiments are directed to implementing a multi-tenant architecture in an analytics platform. In an embodiment, a computer system receives a user's login credentials at a multi-tenant system. The multi-tenant system includes multiple different tenants, each of which includes various users. The multi-tenant system includes multiple instantiated partition instances configured to store various types of analytics information for each tenant. The computer system determines which partition instance the user belongs to, so that analytics information collected for the user is stored in the determined partition instance. The computer system collects analytics information based on the user's interaction with the multi-tenant system and stores the collected analytics information in the determined partition instance. The multi-tenant system is also extended for implementation in a cloud computing system.

Abstract: A method of optimizing placement of references to an entity includes identifying at least search term to be optimized, determining a score for results of a search of a network with respect to the entity, determining costs associated with improving the score, and determining values associated with improving the score.

Abstract: A method for optimizing search results for an entity includes determining a grouping for actions related to an entity. The grouping may include a plurality of terms. The method may also include searching a network for the terms associated with the grouping. Thereafter, results of the searches may be analyzed to determine a rank for the entity within the results.

Abstract: A method for managing reference to an entity on a network includes determining shares of voice for an entity and other entities across a plurality of channels with respect to a plurality of search terms. The method also includes correlating shares of voice for the entity and the other entities with respect the search terms to determine a relative change in share of voice for the entity with respect to the other entities. Thereafter, shares of voice for the entity across the plurality of channels may be correlated to determine relative changes in share of voice for the entity within each of the channels. The relative change in share of voice for the entity with respect to the other entities and the relative changes in share of voice for the entity within each of the channels may then be displayed.

Abstract: One embodiment includes a method for correlating external references to a Web Page with conversions performed by one or more visitors to the Web Page. The method includes receiving the Web Page to monitor and determining one or more conversions to correlate. The one or more conversions to correlate include one or more actions performed on the Web Page by a visitor to the Web Page. The method also includes identifying the visitor to the Web Page. The visitor to the Web Page completed at least one action included in the conversions to correlate. The method also includes identifying the at least one action completed by the visitor and identifying an external reference that directed the visitor to the Web Page. The external reference contains a reference to the Web Page.