Abstract: Adjusting internet advertising bids in internet advertising campaigns, including maintaining at least one auction rule that that specifies how to adjust a bid for a search term in an internet advertising auction in the case that the auction is determined to be uncontested, where a successful bid for a search term results in a corresponding paid ad provided by an advertiser to appear in a search engine results page (SERP), and, where in an uncontested auction the SERP displays only one paid ad, the paid ad provided by the advertiser, receiving a search term, computing a contest score that estimates the likelihood that an auction for the search term is uncontested, determining, based on the contest score that the auction is uncontested; and performing an uncontested auction method that executes a bid for the search term.

Abstract: Generating a cannibalism score for a paid ad in a search engine results page (SERP) by gathering keywords relevant to an advertiser, defining rules that compute a cannibalism score for the ad in relation to a corresponding unpaid listing, where the cannibalism score estimates the reduction in revenue to the advertiser due to the ad appearing in the same SERP as the corresponding listing, providing a keyword to a search engine, receiving a SERP from the search engine, determining the position of a first ad placed by the advertiser from among one or more ads in the SERP, determining the position of a corresponding unpaid listing from among a plurality of unpaid listings in the SERP, and applying the rules to the ad and to the corresponding unpaid listing to obtain a cannibalism score for the ad.

Abstract: Generating a cannibalism score for a paid ad in a search engine results page (SERP) by gathering keywords relevant to an advertiser, defining rules that compute a cannibalism score for the ad in relation to a corresponding unpaid listing, where the cannibalism score estimates the reduction in revenue to the advertiser due to the ad appearing in the same SERP as the corresponding listing, providing a keyword to a search engine, receiving a SERP from the search engine, determining the position of a first ad placed by the advertiser from among one or more ads in the SERP, determining the position of a corresponding unpaid listing from among a plurality of unpaid listings in the SERP, and applying the rules to the ad and to the corresponding unpaid listing to obtain a cannibalism score for the ad.

Abstract: Generating a cannibalism score for a paid ad in a search engine results page (SERP) by gathering keywords relevant to an advertiser, defining rules that compute a cannibalism score for the ad in relation to a corresponding unpaid listing, where the cannibalism score estimates the reduction in revenue to the advertiser due to the ad appearing in the same SERP as the corresponding listing, providing a keyword to a search engine, receiving a SERP from the search engine, determining the position of a first ad placed by the advertiser from among one or more ads in the SERP, determining the position of a corresponding unpaid listing from among a plurality of unpaid listings in the SERP, and applying the rules to the ad and to the corresponding unpaid listing to obtain a cannibalism score for the ad.

Abstract: Generating an estimate of reclaimed ad spend for an Internet advertising campaign, by receiving a set of keywords, where each keyword corresponds to a paid ad that is supplied to a search engine, gathering a cannibalism score for each paid ad, where a cannibalism score indicates that the presence of a designated paid ad in a SERP reduces the chance that a user will click on a corresponding unpaid listing, and estimating a reclaimed ad spend as the difference between the actual revenue reported for a period of time and an estimate of the expected ad spend for a comparable period of time when de-cannibalizing actions were taken; and reporting the estimate of the reclaimed ad spend.

Abstract: Generating an estimate of reclaimed ad spend for an Internet advertising campaign, by receiving a set of keywords, where each keyword corresponds to a paid ad that is supplied to a search engine, gathering a cannibalism score for each paid ad, where a cannibalism score indicates that the presence of a designated paid ad in a SERP reduces the chance that a user will click on a corresponding unpaid listing, and estimating a reclaimed ad spend as the difference between the actual revenue reported for a period of time and an estimate of the expected ad spend for a comparable period of time when de-cannibalizing actions were taken; and reporting the estimate of the reclaimed ad spend.

Abstract: Generating a cannibalism score for a paid ad in a search engine results page (SERP) by gathering keywords relevant to an advertiser, defining rules that compute a cannibalism score for the ad in relation to a corresponding unpaid listing, where the cannibalism score estimates the reduction in revenue to the advertiser due to the ad appearing in the same SERP as the corresponding listing, providing a keyword to a search engine, receiving a SERP from the search engine, determining the position of a first ad placed by the advertiser from among one or more ads in the SERP, determining the position of a corresponding unpaid listing from among a plurality of unpaid listings in the SERP, and applying the rules to the ad and to the corresponding unpaid listing to obtain a cannibalism score for the ad.