CUSTOMER INSIGHT SYSTEMS AND METHODS
First Claim
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1. A method comprising:
- generating seed data associated with a likely advertisement audience;
generating, using one or more processors, sets of interests and demographic clusters based on the seed data;
launching an advertisement campaign based on the sets of interests and demographic clusters;
dividing the demographic clusters into smaller clusters based on advertisement campaign results, the smaller clusters associated with specific targeting of advertisements; and
identifying interests associated with individuals engaging with specific advertisements.
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Abstract
Example systems and methods of identifying customer insights are described. In one implementation, a method generates seed data associated with a likely advertisement audience, and generates sets of interests and demographic clusters based on the seed data. An advertisement campaign is launched based on the sets of interests and the demographic clusters. The demographic clusters are divided into smaller clusters based on advertisement campaign results. The method then identifies interests associated with individuals engaging with specific advertisements.
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Citations
20 Claims
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1. A method comprising:
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generating seed data associated with a likely advertisement audience; generating, using one or more processors, sets of interests and demographic clusters based on the seed data; launching an advertisement campaign based on the sets of interests and demographic clusters; dividing the demographic clusters into smaller clusters based on advertisement campaign results, the smaller clusters associated with specific targeting of advertisements; and identifying interests associated with individuals engaging with specific advertisements. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. An apparatus comprising:
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a memory to store data associated with a plurality of individuals; and one or more processors coupled to the memory, the one or more processors configured to; generate seed data associated with a likely advertisement audience; generate sets of interests based on the seed data; launch an advertisement campaign based on the sets of interests; divide the sets of interests into smaller clusters based on advertisement campaign results, the smaller clusters associated with specific targeting of advertisements; and identify interests associated with individuals engaging with specific advertisements. - View Dependent Claims (15)
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16. A method comprising:
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defining an audience having a plurality of users, wherein the users are associated with at least one online social media service; identifying online social behavior associated with the plurality of users in the audience based on interaction of the plurality of users with the at least one social media service; and determining, using one or more processors, audience insights for the audience based on the identified online social behavior. - View Dependent Claims (17, 18, 19, 20)
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Specification