Automated advertising agency apparatuses, methods and systems
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.
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, 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.
2. The method of claim 1 , wherein the threshold elasticity value is the second highest revenue lift elasticity among a collection of candidate target groups.
3. The method of claim 1 , wherein the target group comprises a demographic group.
4. The method of claim 1 , wherein the target group is associated with a particular customer characteristic.
5. The method of claim 1 , wherein the document corpus comprises at least one social media data feed.
6. The method of claim 5 , wherein the at least one social media data feed is associated with a microblogging web service.
7. The method of claim 1 , wherein the messaging strategy comprises an advertisement generation option.
8. The method of claim 1 , wherein the messaging strategy comprises an advertisement target option.
9. The method of claim 8 , wherein the advertisement target option comprises an advertisement target template.
10. The method of claim 9 , wherein initiating the messaging strategy comprises automatically populating the advertisement target template.
11. The method of claim 9 , further comprising:
placing the strategic advertisement according to values populating the advertisement target template.
12. The method of claim 1 , further comprising:
receiving advertisement feedback in association with the messaging strategy; and
storing the advertisement feedback in association with the messaging strategy.
13. The method of claim 12 , further comprising:
updating the messaging strategy based on the advertisement feedback.
14. The method of claim 12 , wherein the advertisement feedback comprises user comments or user ratings.
15. The method of claim 12 , wherein the advertisement feedback comprises a measure of user interactions with the marketing strategy.
16. The method of claim 15 , wherein the measure of user interactions comprises click-through rates.
17. The method of claim 15 , wherein the measure of user interactions comprises purchase consummations.
18. The method of claim 1 , wherein initiating the messaging strategy further comprises:
providing at least one marketing strategy recommendation for display to a user.
19. The method of claim 18 , wherein the at least one marketing strategy recommendation is selectable.
20. The method of claim 19 , further comprising:
receiving selection of the at least one marketing strategy recommendation; and
initiating the marketing strategy automatically based on the selection.
21. The method of claim 19 , further comprising:
determining a marketing strategy price; and
providing the marketing strategy price for display in association with the selectable marketing strategy recommendation.
22. The method of claim 21 , further comprising:
charging the marketing strategy price associated with the selection of the at least one marketing strategy recommendation.
23. The method of claim 1 , further comprising:
selecting at least one advertisement placement template based on the target group, wherein the advertisement placement template comprises a plurality of placement fields directing advertising placement.
24. The method of claim 23 , wherein the advertisement placement template comprises a universal resource locator field, an inventory target category field, a demographic characteristics field, and a geographic characteristics field.
25. A system, comprising:
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.
26. A processor-readable non-transitory medium storing processor-issuable instructions, 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 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.