Abstract: A duplicate keyword selection engine facilitates identification and selection of duplicate keywords that are associated with advertisements and advertising campaigns. The selection engine selects duplicate keywords from one or more sets of duplicate keywords. The duplicate keywords can be selected based on selection criterion specified by the advertiser. The selection criterion for selecting duplicate keywords for inclusion in set of duplicate keywords can be a relative attribute value that a keyword must have relative to attribute values of other keywords in the set of duplicate keywords to which the keyword belongs. For example, the selection criterion can require a duplicate keyword to have a highest attribute value relative to attribute values of the other keywords in the set of duplicate keywords.

Abstract: A client-side editing application allows advertisers and/or customer service representatives to easily and efficiently view, navigate, and edit ad accounts, even those with large numbers of campaigns, ad_groups, keywords and ad creatives. Information viewable in a user interface screen may be limited in scope by a node selection of a hierarchical tree representation of ad account information and limited in type by a tab selection. Ad information, represented in table rows, may be cut, copied and/or moved among different ad groups and ad campaigns.

Abstract: A client-side editing application allows advertisers and/or customer service representatives to easily and efficiently view, navigate, and edit ad accounts, even those with large numbers of campaigns, ad_groups, keywords and ad creatives. Information viewable in a user interface screen may be limited in scope by a node selection of a hierarchical tree representation of ad account information and limited in type by a tab selection. Ad information, represented in table rows, may be cut, copied and/or moved among different ad group and ad campaigns.

Abstract: A client-side user action analysis engine (“analysis engine”) identifies user interactions with a client-side utility and provides data representing the interactions to a server side online resource analytics system (“analytics system”). The analysis engine represents user interactions with the client-side utility as network addresses for presentations of online resources to a user in a browser. The analysis engine provides the network addresses to the analytics system and statistics for the user interactions with the client-side utility are computed based on the network addresses. Reporting data specifying the statistics are received from the analytics system for presentation on a display device. The statistics provide information about user interactions with features of the client-side utility.

Abstract: A client-side user action analysis engine (“analysis engine”) identifies user interactions with a client-side utility and provides data representing the interactions to a server side online resource analytics system (“analytics system”). The analysis engine represents user interactions with the client-side utility as network addresses for presentations of online resources to a user in a browser. The analysis engine provides the network addresses to the analytics system and statistics for the user interactions with the client-side utility are computed based on the network addresses. Reporting data specifying the statistics are received from the analytics system for presentation on a display device. The statistics provide information about user interactions with features of the client-side utility.

Abstract: A client-side editing application allows advertisers and/or customer service representatives to easily and efficiently view, navigate, and edit ad accounts, even those with large numbers of campaigns, ad_groups, keywords and ad creatives. Information viewable in a user interface screen may be limited in scope by a node selection of a hierarchical tree representation of ad account information and limited in type by a tab selection. Ad information, represented in table rows, may be cut, copied and/or moved among different ad groups and ad campaigns.

Abstract: A high impact desktop or palmtop product placement or “shaper” display presentation technique overcomes disadvantages of previous ad display techniques while providing high consumer interest and increased flexibility for content creators. An advertisement is run in front of or behind a web browser view so it appears with the user's desktop as background, and in a non-rectangular shape that looks nothing like a traditional pop-up or pop-under ad. A “shaper” ad can, for example, have any desired shape such as for example an exact replica of a product being advertised e.g., a cell phone, a Sports Utility Vehicle climbing a mountain, a plasma television set, etc.