Abstract: Techniques are described for machine learning-based generation of target segments is leveraged in a digital medium environment. A segment targeting system generates training data to train a machine learning model to predict strength of correlation between a set of users and a defined demographic. Further, a machine learning model is trained with visit statistics for the users to predict the likelihood that the users will visit a particular digital content platform. Those users with the highest predicted correlation with the defined demographic and the highest likelihood to visit the digital content platform can be selected and placed within a target segment, and digital content targeted to the defined demographic can be delivered to users in the target segment.

Abstract: Techniques are described for machine learning-based generation of target segments is leveraged in a digital medium environment. A segment targeting system generates training data to train a machine learning model to predict strength of correlation between a set of users and a defined demographic. Further, a machine learning model is trained with visit statistics for the users to predict the likelihood that the users will visit a particular digital content platform. Those users with the highest predicted correlation with the defined demographic and the highest likelihood to visit the digital content platform can be selected and placed within a target segment, and digital content targeted to the defined demographic can be delivered to users in the target segment.

Abstract: Techniques and systems are described to enable an analytics system to generate a forecast value for audience impressions of subsequent digital video content. In one example, an analytics system generated a linear regression model using data. The data describes audience segment values for past audience impressions of digital video content and a time series of when the digital video content is made available for consumption. The analytics system generates forecast values for audience impressions of digital video content using the linear regression model. In one example, the analytics system generates a forecast value for audience impressions of a subsequent item of digital video content based on scheduled availability for the subsequent item.

Abstract: Creating audience segments for campaigns is described. In one or more embodiments, an audience manager is configured to create, for one or more videos, a video audience segment associated with the video by storing, in a data management platform, user identifiers of users that viewed the video. The user identifiers can be received from a client player each time that a video is played at the client player. The audience manager is further configured to extract demographic information from a demographic report associated with the video that is received from a demographics provider, and to associate the demographic information with the video audience segment. The audience manager is further configured to generate a target audience segment for a campaign by merging and combining user identifiers that are included in two or more video audience segments.

Abstract: Techniques and systems are described to enable an analytics system to generate a forecast value for audience impressions of subsequent digital video content. In one example, an analytics system generated a linear regression model using data. The data describes audience segment values for past audience impressions of digital video content and a time series of when the digital video content is made available for consumption. The analytics system generates forecast values for audience impressions of digital video content using the linear regression model. In one example, the analytics system generates a forecast value for audience impressions of a subsequent item of digital video content based on scheduled availability for the subsequent item.

Abstract: The present disclosure is directed towards systems and methods for adjusting impression inventory within overlapping packages and based on impression inventory reservations. The systems and methods receive attributes of a first package and a second package to create impression inventories for the first package and the second package. Additionally, the systems and methods determine overlap between the impression inventory of the first package and the impression inventory of the second package. Moreover, upon receiving an inventory reservation request, the systems and methods adjust, based on the reservation request, the impression inventories of both the first package and the second package.

Abstract: Creating audience segments for campaigns is described. In one or more embodiments, an audience manager is configured to create, for one or more videos, a video audience segment associated with the video by storing, in a data management platform, user identifiers of users that viewed the video. The user identifiers can be received from a client player each time that a video is played at the client player. The audience manager is further configured to extract demographic information from a demographic report associated with the video that is received from a demographics provider, and to associate the demographic information with the video audience segment. The audience manager is further configured to generate a target audience segment for a campaign by merging and combining user identifiers that are included in two or more video audience segments.

Abstract: Creating audience segments for campaigns is described. In one or more embodiments, an audience manager is configured to create, for one or more videos, a video audience segment associated with the video by storing, in a data management platform, user identifiers of users that viewed the video. The user identifiers can be received from a client player each time that a video is played at the client player. The audience manager is further configured to extract demographic information from a demographic report associated with the video that is received from a demographics provider, and to associate the demographic information with the video audience segment. The audience manager is further configured to generate a target audience segment for a campaign by merging and combining user identifiers that are included in two or more video audience segments.

Abstract: Creating audience segments for campaigns is described. In one or more embodiments, an audience manager is configured to create, for one or more videos, a video audience segment associated with the video by storing, in a data management platform, user identifiers of users that viewed the video. The user identifiers can be received from a client player each time that a video is played at the client player. The audience manager is further configured to extract demographic information from a demographic report associated with the video that is received from a demographics provider, and to associate the demographic information with the video audience segment. The audience manager is further configured to generate a target audience segment for a campaign by merging and combining user identifiers that are included in two or more video audience segments.

Abstract: The present disclosure is directed toward systems and method for limiting frequency of marketing content provided to users. For example, systems and methods described herein involve tracking a total quantity of marketing content received by a particular user for a marketing campaign. In particular, the systems and method described herein involve tracking a total quantity of marketing content received by a user across multiple devices and/or from multiple publishers. The systems and methods further involve preventing the user from receiving marketing content beyond a maximum allowable quantity of marketing content for the user within a predetermined period of time.