Automated advertising agency apparatuses, methods and systems
First Claim
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1. A processor-implemented method, comprising:
- determining a revenue lift elasticity by measuring a statistical correlation between at least one intent driver associated with a document corpus and at least one product revenue;
identifying a target group for advertisement having the revenue lift elasticity higher than a threshold elasticity value;
selecting at least one target intent driver associated with the target group based on correlations between the at least one intent driver and the target group identified in a document corpus;
determining a messaging strategy based on the at least one intent driver; and
initiating the messaging strategy, includingselecting an advertisement configuration template, configured as at least one markup language file, based on a comparison of template metadata tags to the at least one target intent driver;
selecting advertising content data based on the at least one target intent driver; and
automatically populating the advertisement generation template with the advertising content data.
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Abstract
The AUTOMATED ADVERTISING AGENCY APPARATUSES, METHODS AND SYSTEMS (“AAA”) provides a platform that, in various embodiments, is configurable to provide advertisement generation and/or placement facilities leveraging real-time or near real-time updating of social media data. The AAA may be configured to automatically direct advertising purchasing, configuration and placement, guide marketing efforts, and implement marketing strategies maximizing target impact. The AAA may further be configurable to forecast financial data, such as revenues, associated with queried products or services, and to direct optimized advertising configuration, purchasing and/or placement.
35 Citations
26 Claims
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1. A processor-implemented method, comprising:
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determining a revenue lift elasticity by measuring a statistical correlation between at least one intent driver associated with a document corpus and at least one product revenue; identifying a target group for advertisement having the revenue lift elasticity higher than a threshold elasticity value; selecting at least one target intent driver associated with the target group based on correlations between the at least one intent driver and the target group identified in a document corpus; determining a messaging strategy based on the at least one intent driver; and initiating the messaging strategy, including selecting an advertisement configuration template, configured as at least one markup language file, based on a comparison of template metadata tags to the at least one target intent driver; selecting advertising content data based on the at least one target intent driver; and automatically populating the advertisement generation template with the advertising content data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A system, comprising:
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a memory; and a processor disposed in communication with the memory and configured to issue processing instructions stored in the memory, the instructions comprising; determine a revenue lift elasticity by measuring a statistical correlation between at least one intent driver associated with a document corpus and at least one product revenue; identify a target group for advertisement having the revenue lift elasticity higher than a threshold elasticity value; select at least one target intent driver associated with the target group based on correlations between the at least one intent driver and the target group identified in a document corpus; determine a messaging strategy based on the at least one intent driver; and initiate the messaging strategy, including select an advertisement configuration template, configured as at least one markup language file, based on a comparison of template metadata tags to the at least one target intent driver; select advertising content data based on the at least one target intent driver; and automatically populate the advertisement generation template with the advertising content data.
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26. A processor-readable non-transitory medium storing processor-issuable instructions, the instructions comprising:
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determine a revenue lift elasticity by measuring a statistical correlation between at least one intent driver associated with a document corpus and at least one product revenue; identify a target group for advertisement having the revenue lift elasticity higher than a threshold elasticity value; select at least one target intent driver associated with the target group based on correlations between the intent driver and the target group identified in a document corpus; determine a messaging strategy based on the at least one intent driver; and initiate the messaging strategy, including select an advertisement configuration template, configured as at least one markup language file, based on a comparison of template metadata tags to the at least one target intent driver; select advertising content data based on the at least one target intent driver; and automatically populate the advertisement generation template with the advertising content data.
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Specification