DYNAMICALLY MODIFYING DIGITAL CONTENT DISTRIBUTION CAMPAIGNS BASED ON TRIGGERING CONDITIONS AND ACTIONS

• US 20190130436A1
• Filed: 10/30/2017
• Published: 05/02/2019
• Est. Priority Date: 10/30/2017
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Ma, Xiaoxiao, Chang, Ko Ching, Nour, Mohamed Yasser Ahmed Hammad
• Granted Patent: US 10,692,106 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 3/04817 using icons graphical or visual programming using iconic symbols G06F8/34
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 30/0244 Optimization

Abstract

The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Claims

1. A method comprising:

providing for display, to a publisher device, a user interface comprising a plurality of triggering conditions corresponding to a content distribution campaign and a plurality of actions corresponding to the content distribution campaign;

in response to user selection of a triggering condition from the plurality of triggering conditions and user selection of an action from the plurality of actions, generating a custom rule operable to modify the content distribution campaign, the custom rule comprising the triggering condition and the action;

upon executing the content distribution campaign, monitoring activity corresponding to the content distribution campaign to detect satisfaction of the triggering condition;

in response to detecting satisfaction of the triggering condition, automatically;

modifying the content distribution campaign according to the action of the custom rule; and

executing the modified content distribution campaign.

2. The method of claim 1, wherein the plurality of triggering conditions comprises at least one of a budget threshold, a cost threshold, or an impressions threshold.

3. The method of claim 1, wherein the plurality of actions comprises at least one of a modify budget action, a modify target audience action, a modify bid amount action, or a pause content distribution campaign action.

4. The method of claim 1, wherein providing for display, to the publisher device, the user interface comprises providing a notification option via the user interface, and the method further comprising:

detecting user selection of the notification option and the triggering condition; and

in response to detecting satisfaction of the triggering condition automatically providing a notification according to the notification option.

5. The method of claim 1, wherein providing for display, to the publisher device, the user interface comprises providing a plurality of content distribution campaigns for display via the user interface.

6. The method of claim 5, further comprising:

in response to user selection of at least two content distribution campaigns, generating a custom rule for modifying each of the at least two content distribution campaigns; and

upon executing each of the at least two content distribution campaigns, monitoring activity corresponding to each of the at least two content distribution campaigns from the plurality to detect satisfaction of the triggering condition.

7. The method of claim 1, further comprising generating a suggested triggering condition and a corresponding suggested action by analyzing the content distribution campaign utilizing a machine learning model trained based on a plurality of historical content distribution campaigns.

8. The method of claim 7, further comprising providing the suggested triggering condition and the corresponding suggested action for display to the publisher device via the user interface.

9. A system comprising:

at least one processor; and

at least one non-transitory computer readable storage medium storing instructions that, when executed by the at least one processor, cause the system to;

provide for display, to a publisher device, a user interface comprising a plurality of triggering conditions corresponding to a content distribution campaign and a plurality of actions corresponding to the content distribution campaign;

in response to user selection of a triggering condition from the plurality of triggering conditions and user selection of an action from the plurality of actions, generate a custom rule comprising the triggering condition and the action;

upon executing the content distribution campaign, monitor activity corresponding to the content distribution campaign to detect satisfaction of the triggering condition;

in response to detecting satisfaction of the triggering condition, automatically;

modify the content distribution campaign according to the action of the custom rule; and

execute the modified content distribution campaign.

10. The system of claim 9, wherein:

the plurality of triggering conditions comprises at least one of a budget threshold, a cost threshold, or an impressions threshold; and

11. The system of claim 9, wherein:

the plurality of actions comprises at least one of a modify budget action, a modify target audience action, a modify bid amount action, or a pause content distribution campaign action.

12. The system of claim 9, further comprising storing instructions that, when executed by the at least one processor, cause the system to:

provide a notification option via the user interface; and

in response to detecting satisfaction of the triggering condition, automatically generate a notification according to the notification option.

13. The system of claim 9, further comprising instructions that, when executed by the at least one processor, cause the system to:

provide for display, to the publisher device, the user interface by providing a plurality of content distribution campaigns for display via the user interface;

in response to user selection of at least two content distribution campaigns, generate a custom rule for modifying each of the at least two content distribution campaigns; and

upon executing each of the at least two content distribution campaigns, monitor activity corresponding to each of the at least two content distribution campaigns from the plurality to detect satisfaction of the triggering condition.

14. The system of claim 9, further comprising instructions that, when executed by the at least one processor, cause the system to:

generate a suggested triggering condition and a corresponding suggested action by analyzing the content distribution campaign utilizing a machine learning model trained by a plurality of historical content distribution campaigns; and

provide the suggested triggering condition and the corresponding suggested action for display to the publisher device via the user interface.

15. A non-transitory computer readable medium storing instructions thereon that, when executed by at least one processor, cause a computer system to:

provide for display, to a publisher device, a user interface comprising a plurality of triggering conditions corresponding to a content distribution campaign and a plurality of actions corresponding to the content distribution campaign;

in response to user selection of a triggering condition from the plurality of triggering conditions and user selection of an action from the plurality of actions, generate a custom rule comprising the triggering condition and the action;

upon executing the content distribution campaign, monitor activity corresponding to the content distribution campaign to detect satisfaction of the triggering condition;

in response to detecting satisfaction of the triggering condition, automatically;

modify the content distribution campaign according to the action of the custom rule; and

execute the modified content distribution campaign.

16. The non-transitory computer readable medium of claim 15, wherein the plurality of triggering conditions comprises at least one of a budget threshold, a cost threshold, or an impressions threshold.

17. The non-transitory computer readable medium of claim 15, wherein the plurality of actions comprises at least one of a modify budget action, a modify target audience action, a modify bid amount action, or a pause content distribution campaign action.

18. The non-transitory computer readable medium of claim 15, further comprising instructions that, when executed by the at least one processor, cause the computer system to:

provide for display, to the publisher device, the user interface by providing a notification option via the user interface; and

in response to detecting satisfaction of the triggering condition, automatically generate a notification according to the notification option.

19. The non-transitory computer readable medium of claim 15, further comprising instructions that, when executed by the at least one processor, cause the computer system to:

provide for display, to the publisher device, the user interface by providing a plurality of content distribution campaigns for display via the user interface;

in response to user selection of at least two content distribution campaigns, generate a custom rule for modifying each of the at least two content distribution campaigns; and

upon executing each of the at least two content distribution campaigns, monitor activity corresponding to each of the at least two content distribution campaigns from the plurality to detect satisfaction of the triggering condition.

20. The non-transitory computer readable medium of claim 15, further comprising instructions that, when executed by the at least one processor, cause the computer system to:

generate a suggested triggering condition and a corresponding suggested action by analyzing the content distribution campaign utilizing a machine learning model trained based on a plurality of historical content distribution campaigns; and

provide the suggested triggering condition and the corresponding suggested action for display to the publisher device via the user interface.