INCENTIVE OPTIMIZATION FOR SOCIAL MEDIA MARKETING CAMPAIGNS
First Claim
1. A system comprising:
- a social marketing simulator operable on at least one processor, said social marketing simulator that;
models a social marketing campaign using a plurality of user types, each of said user types having different incentives;
generates predicted results for said social marketing campaign based on predicted actions performed by users in said social marketing campaign;
a social marketing campaign manager that;
creates a marketing campaign for a product, said marketing campaign comprising a website for said product and traceable links to said website, said marketing campaign further comprising incentives for users to engage said marketing campaign;
causes said marketing campaign to be started in a social network;
determines results for said marketing campaign based on said incentives; and
updates said social marketing simulator with said results.
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Accused Products
Abstract
A social marketing system may have an incentive system that may be optimized dynamically for each user during the course of a marketing campaign. The social marketing system may use a simulated model of social interactions to predict the performance of a marketing campaign and may use the output of the simulation to adjust incentives during a campaign for various users, as well as use the actual results of changes in incentives as feedback to the simulation. The simulation may assume several different types of users within the social network and that several types of financial and non-financial incentives may be applied to different users. Some embodiments may use machine learning algorithms to analyze actual results and feed those results into the simulation. The system may be able to categorize users into the simulated types and adjust incentives according to the models associated with those types of users.
65 Citations
20 Claims
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1. A system comprising:
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a social marketing simulator operable on at least one processor, said social marketing simulator that; models a social marketing campaign using a plurality of user types, each of said user types having different incentives; generates predicted results for said social marketing campaign based on predicted actions performed by users in said social marketing campaign; a social marketing campaign manager that; creates a marketing campaign for a product, said marketing campaign comprising a website for said product and traceable links to said website, said marketing campaign further comprising incentives for users to engage said marketing campaign; causes said marketing campaign to be started in a social network; determines results for said marketing campaign based on said incentives; and updates said social marketing simulator with said results. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method performed on at least one computer processor, said method comprising:
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creating a marketing campaign comprising a target website and a plurality of links to said target website, said marketing campaign further comprising a first set of incentives for said users to propagate said marketing campaign within an online social network; distributing said links to a group of users, said users being members of said online social network; generating a predicted distribution pattern for said marketing campaign by simulating said marketing campaign using a model comprising incentives for said users to propagate said marketing campaign in said social network; monitoring distribution of said marketing campaign within said online social network to generate actual distribution results; comparing said actual distribution results to said predicted distribution pattern and generating a second set of incentives for said marketing campaign; and changing said first set of incentives to said second set of incentives for said marketing campaign. - View Dependent Claims (14, 15, 16, 17)
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18. A system comprising:
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a social marketing simulator executing a social distribution model for an advertising campaign; said social distribution model comprising a set of directed nodes modeling influence of user towards other users, said model further comprising a probability of recommending for each user towards other users, said probability having an incentive as an input to said probability, said model further comprising types of users and a set of incentives and probability of recommending based on each of said types of users; a user database comprising actual users, said actual users being assigned at least one of said types of users; a social marketing campaign manager that; creates a marketing campaign for a product, said marketing campaign defining an initial set of incentives for said types of users; transmits said initial set of incentives to said social marketing simulator to simulate said social marketing campaign and to return a first optimized set of incentives; and launching said marketing campaign using said first optimized set of incentives. - View Dependent Claims (19, 20)
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Specification