Abstract: Techniques for recommending Web pages or other content sources as candidates for link placement are described. Some embodiments provide a marketing activity support system (“MASS”) configured to recommend candidate Web pages for link placement. Recommending candidate Web pages may include determining multiple Web pages that include or reference one or more keywords that describe some subject matter domain. Recommending candidate Web pages may then further include ranking or ordering at least some of the multiple Web pages based on how many times each of the at least some Web pages references another one of the multiple Web pages. The ordered Web pages may then be presented as recommended candidate sites for link placement.

Abstract: Techniques for generating marketing lead intelligence information are described. Some embodiments provide a marketing activity support system (“MASS”) configured to generate lead intelligence by aggregating marketing activity information and customer information. In one embodiment, the MASS transmits a marketing message that references a Web page or other marketing content. Next, the MASS receives tracking information about activities of a customer with respect to the referenced Web page. The MASS then generates lead intelligence information about the customer by aggregating the tracking information, personal information about the customer, and/or information about an associated marketing campaign. The MASS may then present the generated lead intelligence information, such as by displaying details about the customer and their activities with respect to the Web page.

Abstract: Methods, systems, and techniques for keyword management are described. Some embodiments provide a keyword management system (“KMS”) configured to determine the effectiveness of multiple candidate keywords. In some embodiments, the KMS generates multiple candidate keywords based on an initial keyword. The KMS may then determine an effectiveness score for each of the candidate keywords, based on marketing information about those keywords. Next, the KMS may process the candidate keywords according to the determined effectiveness scores. In some embodiments, processing the candidate keywords includes applying rules that conditionally perform actions with respect to the candidate keywords, such as modifying advertising expenditures, modifying content, or the like.

Abstract: Techniques for recommending Web pages or other content sources as candidates for link placement are described. Some embodiments provide a marketing activity support system (“MASS”) configured to recommend candidate Web pages for link placement. Recommending candidate Web pages may include determining multiple Web pages that include or reference one or more keywords that describe some subject matter domain. Recommending candidate Web pages may then further include ranking or ordering at least some of the multiple Web pages based on how many times each of the at least some Web pages references another one of the multiple Web pages. The ordered Web pages may then be presented as recommended candidate sites for link placement.

Abstract: Techniques for generating marketing lead intelligence information are described. Some embodiments provide a marketing activity support system (“MASS”) configured to generate lead intelligence by aggregating marketing activity information and customer information. In one embodiment, the MASS transmits a marketing message that references a Web page or other marketing content. Next, the MASS receives tracking information about activities of a customer with respect to the referenced Web page. The MASS then generates lead intelligence information about the customer by aggregating the tracking information, personal information about the customer, and/or information about an associated marketing campaign. The MASS may then present the generated lead intelligence information, such as by displaying details about the customer and their activities with respect to the Web page.