Calibrating pacing of a content campaign

• US 10,713,691 B2
• Filed: 09/09/2017
• Issued: 07/14/2020
• Est. Priority Date: 09/09/2017
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Green, Perry Aaron
• Primary Examiner(s): Iosif, Mario C.
• Application Number:
  US15/700,125
• Publication Number:
  US 20190080361A1
• Time in Patent Office: 1,039 Days
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 10/06316 Sequencing of tasks or work
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 30/0249 based upon budgets or funds
• CPC Class Codes: G06Q 30/0275 Auctions

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.

Claims

1. A method comprising:

receiving a content campaign including a budget, a time period, and a maximum bid amount;

determining an initial pacing factor for a ramp-up period of the content campaign;

during the ramp-up period and while the budget is unspent, identifying an opportunity to present content to a user targeted by the content campaign;

providing a paced bid for the content campaign to compete with other content for placement in the opportunity, the paced bid determined based on the pacing factor and the maximum bid amount;

calibrating the initial pacing factor for the content campaign during the ramp-up period, until a conversion event occurs, by at least once iteratively;

determining a target ramp-up time based on a ratio of the paced bid to the budget at a current time and time period of the content campaign;

identifying a non-linear path from the paced bid at the current time to the maximum bid amount at the target ramp-up time, the non-linear path providing a function transitioning the current paced bid at the current time to the maximum bid amount during the target ramp-up period;

determining a next step value on the path, the next step value used to determine the point on the path at which the next iteration begins;

updating the paced bid based on the next step value and the path; and

when the conversion event occurs, setting the initial pacing factor for the remaining portion of the time period based on the updated paced bid.

2. The method of claim 1, wherein calibrating the calibration pacing factor during the ramp up period further comprises:

setting the target ramp-up time to a fixed time;

responsive to the current time reaching a transition time within the ramp-up period, at least once iteratively setting the target ramp-up time based on the ratio of the paced bid to the budget at the current time and time period of the content campaign.

3. The method of claim 2, wherein the transition time is the time at which the target ramp-up time based on the ratio of the paced bid to the budget at the current time and time period of the content campaign exceeds the fixed time.

4. The method of claim 1, wherein the target ramp-up time based on a ratio of the paced bid to the budget at the current time and time period of the campaign is determined according to a desired conversion rate to spend the budget of the campaign evenly throughout the time period of the campaign.

5. The method of claim 4, wherein the target ramp-up time is calculated multiplicatively using the maximum ratio of the paced bid to the budget at the current time and the time period of the campaign.

6. The method of claim 1, wherein the slope of the non-linear path increases over the ramp-up period.

7. A computer program product for calibrating a pacing factor of a content campaign to find a value in which, relative to a maximum bid, conversion events occur, the computer program product comprising a non-transitory computer-readable storage medium containing computer program code for:

receiving a content campaign including a budget, a time period, and a maximum bid amount;

determining an initial pacing factor for a ramp-up period of the content campaign;

during the ramp-up period and while the budget is unspent, identifying an opportunity to present content to a user targeted by the content campaign;

providing a paced bid for the content campaign to compete with other content for placement in the opportunity, the paced bid determined based on the pacing factor and the maximum bid amount;

calibrating the initial pacing factor for the content campaign during the ramp-up period, until a conversion event occurs, by at least once iteratively;

determining a target ramp-up time based on a ratio of the paced bid to the budget at a current time and time period of the content campaign;

identifying a non-linear path from the paced bid at the current time to the maximum bid amount at the target ramp-up time, the non-linear path providing a function transitioning the current paced bid at the current time to the maximum bid amount during the target ramp-up period;

determining a next step value on the path, the next step value used to determine the point on the path at which the next iteration begins;

updating the paced bid based on the next step value and the path; and

when the conversion event occurs, setting the initial pacing factor for the remaining portion of the time period based on the updated paced bid.

8. The computer program product of claim 7, wherein calibrating the calibration pacing factor during the ramp up period further comprises:

setting the target ramp-up time to a fixed time;

responsive to the current time reaching a transition time within the ramp-up period, at least once iteratively setting the target ramp-up time based on the ratio of the paced bid to the budget at the current time and time period of the content campaign.

9. The computer program product of claim 8, wherein the transition time is the time at which the target ramp-up time based on the ratio of the paced bid to the budget at the current time and time period of the content campaign exceeds the fixed time.

10. The computer program product of claim 7, wherein the target ramp-up time based on a ratio of the paced bid to the budget at the current time and time period of the campaign is determined according to a desired conversion rate to spend the budget of the campaign evenly throughout the time period of the campaign.

11. The computer program product of claim 10, wherein the target ramp-up time is calculated multiplicatively using the maximum ratio of the paced bid to the budget at the current time and the time period of the campaign.

12. The computer program product of claim 7, wherein the slope of the non-linear path increases over the ramp-up period.