The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 16, 2020

Filed:

Oct. 12, 2017
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Oliver Isaac Goldman, Seattle, WA (US);

Thomas William Randall Jacobs, Cupertino, CA (US);

Kent Andrew Edmonds, San Jose, CA (US);

Kevin Gary Smith, Lehi, UT (US);

Pradeep Saikalyanachakravarthi Javangula, San Jose, CA (US);

Ashley Manning Still, Atherton, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0244 (2013.01); G06Q 30/0245 (2013.01); G06Q 30/0246 (2013.01); G06Q 30/0276 (2013.01); G06Q 30/0277 (2013.01);
Abstract

Techniques and systems are described for analyzing components of digital marketing content as part of a digital marketing campaign. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital marketing content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital marketing content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital marketing content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital marketing content items for digital marketing campaigns.


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