Abstract: A content provider specifies a content campaign along with a desired metric to achieve for the campaign, such as a budget. For each opportunity to present content to a user, an online publishing system selects content to a group of users using a selection process. To achieve the desired metric for the content campaign, the publishing system determines a probability of participating in the selection process with content from the content campaign based on feedback about the current performance of the campaign. For example, the system compares the opportunities passed and the budget spent for the content campaign to a current time and budget expenditure, and then it calculates an equilibrium probability that will achieve the desired budget at the end of the campaign. The system then determines whether to participate in a selection process for each new opportunity to present content using this adjusted equilibrium probability.

Abstract: A sponsor specifies a content campaign along with a budget, a duration, a maximum bid value and one or more objectives associated with the content campaign. An online system presenting the sponsored content calibrates the pacing factor of the content campaign to present the sponsored content evenly throughout the specified duration of the campaign. Paced bids are provided for the content campaign to compete for placement in opportunities during a ramp-up period, in which the paced bid associated with the campaign is adjusted to the maximum bid value. The target-ramp up period is iteratively determined as the current paced bid approaches the maximum bid value to avoid overspending the budget early in the campaign. When a conversion event occurs, the ramp-up period ends and the content campaign transitions to a normal pacing algorithm.

Abstract: The present disclosure is directed toward systems, methods, and computer-readable media that automatically detect and correct advertising exploits for an advertising campaign. For instance, one or more of the systems disclosed herein employs various metrics to automatically determine when an advertising campaign exceeds an exploit threshold. In addition, upon determining that an advertising campaign is an exploit campaign, one or more of the disclosed systems automatically throttles the execution of an advertising campaign until the exploit is corrected. For example, the disclosed system can modify one or more of the campaign parameters of the exploit campaign to limit placement of at least one future advertisement from the advertising campaign.

Abstract: A sponsor specifies a content campaign along with a budget, a duration, a maximum bid value and one or more objectives associated with the content campaign. An online system presenting the sponsored content calibrates the pacing factor of the content campaign to present the sponsored content evenly throughout the specified duration of the campaign. Paced bids are provided for the content campaign to compete for placement in opportunities during a ramp-up period, in which the paced bid associated with the campaign is adjusted to the maximum bid value. The target-ramp up period is iteratively determined as the current paced bid approaches the maximum bid value to avoid overspending the budget early in the campaign. When a conversion event occurs, the ramp-up period ends and the content campaign transitions to a normal pacing algorithm.