Digital media environment for analysis of components of content in a digital marketing campaign

1. In a digital medium environment to optimize a digital marketing content system, a method implemented by at least one computing device, the method comprising:

receiving, by the at least one computing device, user interaction data that describes an effect of user interaction with a plurality of items of digital marketing content on achieving an action, each item of digital marketing content of the plurality of items of digital marketing content formed, respectively, using at least one component of a plurality of components;

identifying, by the at least one computing device, which of the plurality of components are included in respective ones of the plurality of items of digital marketing content;

generating, by the at least one computing device, outcome data describing a likely effect of respective components of the plurality of components on achieving the action based on association with respective ones of the plurality of items of digital marketing content; and

outputting, by the at least one computing device, the outcome data in a user interface.

2. The method as described in claim 1 , wherein the identifying, the generating, and the outputting are further performed for a plurality of attributes of at least one of the plurality of components, the plurality of attributes describing characteristics of respective components of the plurality of components.

3. The method as described in claim 2 , wherein at least one of the plurality of attributes is an intrinsic attribute that is inherent to the at least one of the plurality of components.

4. The method as described in claim 2 , wherein at least one of the plurality of attributes also includes an attached attribute that associates a user or application to the at least one of the plurality of components.

5. The method as described in claim 1 , wherein the outcome data represents whether the digital marketing content item was successful, unsuccessful, or had no effect on achieving the action.

6. The method as described in claim 1 , wherein the generating further comprises:

assigning the outcome data to multiple of the components of a particular digital marketing content item of the plurality of digital marketing content items; and

determining a most effective component within the particular digital marketing content item on achieving the outcome.

7. The method as described in claim 1 , wherein the generating further comprises generating the outcome data describing another likely effect of the plurality of components on achieving an additional action based on the association with the respective ones of the plurality of items of digital marketing content.

8. The method as described in claim 1 , wherein the generating further comprises comparing the user interaction data for a particular component of the plurality of components to same or similar components of additional digital marketing content items.

9. The method as described in claim 1 , further comprising generating a recommendation for one or more of the plurality of components to configure at least one subsequent item of digital marketing content based at least in part on the outcome data.

10. The method as described in claim 9 , wherein the generating the recommendation further comprises automatically generating an additional digital marketing content item that includes components having a likely successful effect on achieving the action.

11. In a digital medium environment to optimize content for a digital marketing campaign by a service provider system, a system comprising:

a content identification module implemented at least partially in hardware of a computing device to receive user interaction data that describes an effect of user interaction with a plurality of items of digital marketing content on achieving an action, and identify which of a plurality of components form respective ones of the plurality of items of digital marketing content;

an outcome module implemented at least partially in hardware of the computing device to generate outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective ones of the plurality of items of digital marketing content; and

a content recommendation module implemented at least partially in hardware of the computing device to generate a recommendation to configure at least one subsequent item of digital marketing content based at least in part on the outcome data.

12. The system as described in claim 11 , wherein the outcome module is further configured to:

assign the outcome data to multiple of the components of a particular digital marketing content item of the plurality of digital marketing content items; and

determine a most effective component within the particular digital marketing content item on achieving the outcome.

13. The system as described in claim 11 , wherein the outcome module is further configured to generate the outcome data describing another likely effect of the plurality of components on achieving an additional action based on the association with the respective ones of the plurality of items of digital marketing content.

14. The system as described in claim 11 , wherein the outcome module is further configured to compare the user interaction data for a particular component of the plurality of components to same or similar components of additional digital marketing content items.

15. The system as described in claim 11 , wherein the content recommendation module is further configured to automatically generate an additional digital marketing content item that includes components having a determined successful effect on achieving the action.

16. The system as described in claim 11 , wherein the content recommendation module is further configured to automatically generate multiple additional digital marketing content items that each include components having different determined successful effects on achieving the action.

17. In a digital medium environment to optimize content for a digital marketing campaign by a service provider system, a system comprising:

means for receiving user interaction data that describes an effect of user interaction with a plurality of items of digital marketing content on achieving an action, in which:

each item of digital marketing content of the plurality of items of digital marketing content formed, respectively, using at least one component of a plurality of components; and

each of the plurality of components has a respective attribute of a plurality of attributes that defines the component;

means for identifying which of the plurality of components and the plurality of attributes of at least one of the plurality of components are included in respective ones of the plurality of items of digital marketing content;

means for generating outcome data describing a likely effect of the plurality of components and the attributes of the at least one of the plurality of components on achieving the action based on association with respective ones of the plurality of items of digital marketing content; and

means for outputting the outcome data.

18. The system as described in claim 17 , wherein at least one of the attributes is an intrinsic attribute that is inherent to the at least one of the plurality of components.

19. The system as described in claim 17 , wherein at least one of the attributes includes an attached attribute that associates a user or application to the at least one of the plurality of components.

20. The system as described in claim 17 , wherein the means for determining is further configured to compare the user interaction data for a particular component of the plurality of components or a particular attribute to same or similar components or attributes of additional digital marketing content items.