Abstract: Information associated with a content provider within an online system can be acquired. The information can include data about interactions performed by the content provider. A machine learning model can be applied to the information. A metric indicating a predicted likelihood that the content provider will perform an action related to a content item when the content provider is presented with a coupon for the content item can be determined. It can be determined that the metric satisfies specified threshold criteria. An opportunity to present the coupon to the content provider can be detected. The coupon and a communication can be provided to the content provider at the opportunity. The communication can encourage the content provider to perform the action related to the content item. An instruction to execute the action can be acquired from the content provider. The content item can be provided to users of the online system.

Abstract: An online system maintains a page of content for a user that includes content provided to the online system by the user. To allow the user to more easily present content items to other online system users, the online system receives an objective specifying a desired interaction by users presented with the content item from the user and generates a set of content items from content included on the page. One or more content items of the set are selected and a budget for presenting the selected one or more content items is received, and the online system includes one or more of the selected content items in selection processes along with bid amounts based on the budget that select content for presentation to other users. The online system may update the selected content items of the set over time as content included on the page is modified.

Abstract: Information associated with a content provider within an online system can be acquired. The information can include data about interactions performed by the content provider. A machine learning model can be applied to the information. A metric indicating a predicted likelihood that the content provider will perform an action related to a content item when the content provider is presented with a coupon for the content item can be determined. It can be determined that the metric satisfies specified threshold criteria. An opportunity to present the coupon to the content provider can be detected. The coupon and a communication can be provided to the content provider at the opportunity. The communication can encourage the content provider to perform the action related to the content item. An instruction to execute the action can be acquired from the content provider. The content item can be provided to users of the online system.

Abstract: An online system maintains a page of content for a user that includes content provided to the online system by the user. To allow the user to more easily present content items to other online system users, the online system receives an objective specifying a desired interaction by users presented with the content item from the user and generates a set of content items from content included on the page. One or more content items of the set are selected and a budget for presenting the selected one or more content items is received, and the online system includes one or more of the selected content items in selection processes along with bid amounts based on the budget that select content for presentation to other users. The online system may update the selected content items of the set over time as content included on the page is modified.

Abstract: An online system manages online accounts for a number of content providers and monitors them for lack of activity. For such online accounts, the online system determines whether the content provider of the account had a content item that performed relatively well, e.g., as measured by comparing the past performance of the sponsored content item against a benchmark, such as a percentile of a cost-per-objective metric for a country, page category, and objective type. If the past performance exceeds the threshold, the online system generates a recommendation message to the content provider that communicates that the past campaign performed particularly well and that contains a link to purchase another sponsored content item.