System and method of identifying and segmenting online users

A server for identifying and segmenting a plurality of online users based on a level of engagement with respect to at least one user group, said server comprising:

• (i) a memory unit that stores (a) a set of modules, (b) a database and instructions, wherein said database comprises (i) information associated with said at least one user group, and (ii) information associated with at least one parameter;
• and
• (ii) a processor which when configured by said instructions executes said set of modules, wherein said set of modules comprises:
• (a) an influence level computing module, executed by said processor, that computes a influence level of at least one user from said at least one user group, wherein said at least one user belongs to said at least one user group;
• (b) a critique level computing module executed by said processor, that computes at least one critique of said at least one user from said at least one user group in a social medium;
• (c) a promotional information computing module, executed by said processor, that computes promotion level at said social medium of said at least one user from said at least one user group;
• (d) a scoring module, executed by said processor, that dynamically obtaining, a score for said at least one user from said at least one user group based on said at least one parameter, wherein said score for said at least one user is valid for specific period of time;
• and
• (e) a user segmenting module, executed by said processor, that segments said plurality of online users from said at least one user group based on said score to obtain a subset of said plurality of online users from said at least one user group comprising (i) a highest first level of engagement, (ii) a second highest level of engagement, and (iii) a third highest level of engagement.

A non-transitory program storage device readable by computer, and comprising a program of instructions executable by said computer to perform a method for identifying and segmenting a plurality of online users based on a level of engagement with respect to at least one user group, said method comprising:

• obtaining, information associated with at least one user from said at least one user group;
• computing, at least one parameter of said at least one user from said at least one user group based on said information associated with said at least one user from said at least one user group, wherein said at least one user belongs to said at least one user group;
• dynamically obtaining, a score for said at least one user from said at least one user group based on said at least one parameter, wherein said score for said at least one user is valid for specific period of time;
• segmenting, said plurality of online users from said at least one user group based on said score for said at least one user to obtain a subset of said plurality of online users from said at least one user group comprising (i) a highest first level of engagement, (ii) a second highest level of engagement, and (iii) a third highest level of engagement;
• providing, at least one reward to said subset of said plurality of online users based on said at least one parameter and said score for said at least one user;
• dynamically monitoring, at a server, a status associated with said subset of said plurality of online users to update said level of engagement of said plurality of online users with respect to said at least one user group;
• and
• computing a promotion level of said at least one user based on how much said at least one user promotes social media content within at least one connections at social medium.