Abstract: A method including accessing, by one or more processors, a data structure associated with an entity, the data structure storing information associated with a set of interactions, calculating, by the one or more processors using one or more models, a contribution associated with the entity based on the information, comparing, by the one or more processors using the one or more models, the information to trends associated with one or more entities sharing a characteristic with the entity, determining, by the one or more processors using the one or more models, whether to trigger an intervening action with respect to the entity based on the comparison of the information to the trends, triggering, by the one or more processors, the intervening action in response to the determination, and recalculating, by the one or more processors using the one or more models, the contribution associated with the entity to determine an effect of the intervening action.

Abstract: Systems, methods, and computer-readable storage media that may be used to generate a competitive metric are provided. One method includes receiving interaction data elements including identifiers and time stamps and generating a path data structure. A path data structure includes the interaction data elements sorted by identifier and time stamp. Further, the method includes sorting, parsing, and filtering the path data structure to generate a minor path data set. The method includes generating the competitive metric by using the minor path data set to determine the number of interactions an entity has with a group of content providers and comparing that number of interactions to the number of interactions a second entity has with the same group of content providers.

Abstract: Systems, methods, and computer-readable storage media that may be used to generate recommendations based on organic search term analysis are provided. One method includes determining conversion path data for a content provider. The method further includes determining a plurality of organic search keywords within the conversion path data. The method further includes analyzing the plurality of organic search keywords within the conversion path data to generate an analysis metric for each of the plurality of organic search keywords. The method further includes selecting one or more of the plurality of organic search keywords based on the analysis metrics for the organic search keywords, and generating one or more recommendations for new content to be published by the content provider based on the selected one or more organic search keywords.

Abstract: Systems, methods, and computer-readable storage media that may be used to generate a competitive metric are provided. One method includes receiving interaction data elements including identifiers and time stamps and generating a path data structure. A path data structure includes the interaction data elements sorted by identifier and time stamp. Further, the method includes sorting, parsing, and filtering the path data structure to generate a minor path data set. The method includes generating the competitive metric by using the minor path data set to determine the number of interactions an entity has with a group of content providers and comparing that number of interactions to the number of interactions a second entity has with the same group of content providers.

Abstract: Systems, methods, and computer-readable storage media that may be used to generate recommendations based on organic search term analysis are provided. One method includes determining conversion path data for a content provider. The method further includes determining a plurality of organic search keywords within the conversion path data. The method further includes analyzing the plurality of organic search keywords within the conversion path data to generate an analysis metric for each of the plurality of organic search keywords. The method further includes selecting one or more of the plurality of organic search keywords based on the analysis metrics for the organic search keywords, and generating one or more recommendations for new content to be published by the content provider based on the selected one or more organic search keywords.

Abstract: Systems, methods, and computer-readable storage media that may be used to evaluate performance of resources and/or content campaign impressions are provided. One method includes, for each of a first set of resources: (1) filtering path data to extract a first set of path data items including an interaction with the resource and a second set of path data items including paths excluding an interaction with the resource; (2) calculating first and second conversion metrics based on an amount of the first and second sets of path data items, respectively, resulting in a conversion action; and (3) calculating an incremental conversion metric for the resource based on the first conversion metric and the second conversion metric. The method further includes generating resource comparison data comparing one or more of the first set of resources based on the incremental conversion metrics.

Abstract: Systems, methods, and computer-readable storage media that may be used to evaluate impact of negative interactions on revenue are provided. One method includes receiving path data representing a plurality of paths and identifying one or more negative interactions within one or more of the paths ending in an interaction other than a conversion. Each negative interaction includes one of one or more types of interactions that decrease a likelihood of a path resulting in a conversion. The method further includes, for each of the one or more negative interactions, determining an estimated probability that the one or more paths including the negative interaction would have resulted in a conversion if the one or more paths excluded the negative interaction. The method further includes estimating an amount of lost revenue associated with one or more of the negative interactions based on the estimated probability.

Abstract: Systems, methods, and computer-readable storage media that may be used to analyze user path data and determine price-competitiveness of offers reflected therein are provided. One method includes receiving user path data representing a plurality of user paths, each including one or more sales interactions in which a user was presented with an offer to purchase an item at an offer price. One or more user paths include conversion events in which the user purchases the item. The method further includes receiving competitive price data indicating one or more prices at which the item was offered for sale by one or more third party entities and determining a price-competitiveness metric for at least one of the sales interactions based on a comparison of the offer price with the competitive price data. The method further includes providing data based on the price-competitiveness metric to the content provider.

Abstract: Systems, methods, and computer-readable storage media that may be used to generate content placement recommendations are provided. One method includes determining conversion path data and determining, for each of a plurality of domains: (1) a first metric based on a first set of the conversion paths for which interactions related to the domain are earlier in the conversion paths than one or more last interactions prior to the conversion actions; (2) a second metric based on a second set of the conversion paths for which interactions related to the domain are one of the one or more last interactions prior to the conversion actions; and (3) an analysis metric based on the first metric and the second metric. The method further includes generating one or more recommendations for obtaining content placements in one or more of the domains based on the analysis metrics for the domains.

Abstract: Systems, methods, and computer-readable storage media that may be used to generate recommendations based on organic search term analysis are provided. One method includes determining conversion path data for a content provider. The method further includes determining a plurality of organic search keywords within the conversion path data. The method further includes analyzing the plurality of organic search keywords within the conversion path data to generate an analysis metric for each of the plurality of organic search keywords. The method further includes generating one or more recommendations for organic search keywords to add to the set of paid keywords based on the analysis metrics for the plurality of search keywords.

Abstract: Systems, methods, and computer-readable storage media that may be used to generate recommendations based on organic search term analysis are provided. One method includes determining conversion path data for a content provider. The method further includes determining a plurality of organic search keywords within the conversion path data. The method further includes analyzing the plurality of organic search keywords within the conversion path data to generate an analysis metric for each of the plurality of organic search keywords. The method further includes selecting one or more of the plurality of organic search keywords based on the analysis metrics for the organic search keywords, and generating one or more recommendations for new content to be published by the content provider based on the selected one or more organic search keywords.

Abstract: Systems, methods, and computer-readable storage media that may be used to evaluate leads based on path data are provided. One method includes receiving lead data and determining path data representing one or more paths including one or more interactions leading to submission of the lead data. The method further includes determining a cost metric representing a cost to a content provider of the one or more interactions leading to submission of the lead data, a delay metric between a first interaction of the one or more interactions and submission of the lead data, and an engagement metric relating to a level of engagement of the device identifier with one or more resources associated with the content provider prior to submission of the lead data. The method further includes generating an effort score based on a combination of the cost metric, the delay metric, and the engagement metric.

Abstract: Systems, methods, and computer-readable storage media that may be used to determine a cause of user abandonments in relation to a resource are provided. One method includes receiving user path data representing a plurality of user paths. The method further includes identifying a plurality of user paths ending with an abandonment event associated with a first resource. The method further includes determining a first abandonment metric indicating a first plurality of the identified user paths having a first condition of a characteristic. The method further includes determining a second abandonment metric indicating a second plurality of the identified user paths having a second condition of the characteristic. The method further includes determining whether the abandonment events associated with the first resource are at least partially related to the characteristic based on a comparison of the first abandonment metric and the second abandonment metric.

Abstract: Systems, methods, and computer-readable storage media that may be used to limit exposure of content to users based on a cumulative user cost are provided. One method includes calculating a cumulative user cost based on previous interactions of a user with one or more content items of a content campaign. The method further includes determining an expected revenue contribution resulting from a conversion. The method further includes determining whether to cause a content management system serving content items to limit serving of content items of the content campaign to the user based on the comparison of the cumulative user cost to the expected revenue contribution.