Computer implemented marketing system

A computer-implemented marketing system comprising:

• a state-event engine which manages behavior over time of a plurality of dynamic objects in response to events in deterministic fashion from user-supplied rules, wherein said dynamic objects include:
• a campaign engine for selectively generating and storing a campaign population, said campaign population having members comprising stored first data representing a plurality of marketing campaigns;
• said campaign engine storing campaign activities data and having processing functionality to assemble campaign population members from said campaign activities;
• a listing population data store for storing a listing population of offers to buy and sell resource items, said listing population having members comprising stored second data representing resource items having associated offers to buy or sell;
• a matching process for ordering the members of said listing population based on members of said campaign population such that a set of both offers to buy and offers to sell the same resource item is created.

A computer-implemented real estate marketing system to facilitate transactions among real estate agents, at least one real estate broker and members of the public, comprising:

• a campaign engine for selectively generating a plurality of marketing campaigns each characterized by a plurality of campaign attributes, said campaign engine having processing functionality to assemble said marketing campaigns from a set of stored activities;
• at least one data structure for access by said campaign engine for the storing and retrieving of:
• (a) said campaign attributes,
• (b) rules representing user-defined objectives of the marketing system,
• (c) customer attributes reflecting the readiness and desires of selected members of the public with respect to real estate, and
• (d) leads corresponding to selected members of the public;
• said campaign engine having an agent interface by which said real estate agents may specify and store rules to be reflected in at least one marketing campaign and by which said real estate agents may retrieve leads representing selected members of the public;
• said campaign engine having a broker interface by which said real estate broker may specify and store rules to be reflected in at least one marketing campaign and by which selected ones of said stored campaign attributes may be retrieved and communicated to said broker;
• said campaign engine having a customer interface for the input and storing of customer attributes;
• said campaign engine having a prediction engine that accesses said data structure to predict, based on said customer attributes, how said campaign attributes and leads may be modified to improve conformance to said rules and to predict which selected members of the public are most likely to engage in real estate transactions, thereby making marketing campaigns more attractive to members of the public and generating leads for said real estate agents.

A computer-implemented self-optimizing marketing system comprising:

• a campaign engine for selectively generating and storing a campaign population on behalf of a campaign sponsor, said campaign population having members comprising stored first data representing a plurality of marketing campaigns each campaign characterized by a plurality of campaign attributes, including attributes reflecting available resources and the costs associated with those resources;
• said campaign engine having an interface for input of the campaign sponsor's desires with respect to a campaign;
• said campaign engine further having processing functionality that seeks to marshal said available resources to maximize the campaign sponsor's desires being met while minimizing the cost to do so;
• a customer population data store for storing a customer population, said customer population having members comprising stored second data representing a plurality of customers and potential customers, characterized by a plurality of customer attributes;
• and
• an optimization engine for accessing said first and second data to optimize at least one of said campaign population and said customer population,
• said optimization engine including a scoring system for ordering the members of at least one of said campaign population and said customer population, said scoring system employing adaptive scoring process that alters said scoring process based upon relations among at least some of said campaign attributes and said customer attributes.

A computer-implemented marketing system comprising:

• a state-event engine which manages behavior over time of a plurality of dynamic objects in response to events in deterministic fashion from user-supplied rules, wherein said dynamic objects include:
• a campaign engine for selectively generating and storing a campaign population, said campaign population having members comprising stored first data representing a plurality of marketing campaigns, said first data including data reflecting available resources and the costs associated with those resources;
• said campaign engine having an interface for input of the campaign sponsor's desires with respect to a campaign;
• said campaign engine further having processing functionality that seeks to marshal said available resources to maximize the campaign sponsor's desires being met while minimizing the cost to do so;
• a listing population data store for storing a listing population of offers to buy and sell resource items, said listing population having members comprising stored second data representing resource items having associated offers to buy or sell;
• a matching process for ordering the members of said listing population based on members of said campaign population such that a set of both offers to buy and offers to sell the same resource item is created.

A computer-implemented self-optimizing marketing system comprising:

• a campaign engine for selectively generating and storing a campaign population, said campaign population having members comprising stored first data representing a plurality of marketing campaigns each campaign characterized by a plurality of campaign attributes;
• a customer population data store for storing a customer population, said customer population having members comprising stored second data representing a plurality of customers and potential customers, characterized by a plurality of customer attributes;
• an optimization engine for accessing said first and second data to optimize at least one of said campaign population and said customer population,
• said optimization engine including a scoring system for ordering the members of at least one of said campaign population and said customer population, said scoring system employing adaptive scoring process that alters said scoring process based upon relations among at least some of said campaign attributes and said customer attributes;
• and
• an agent population data store for storing an agent population, said agent population having members comprising stored third data representing a plurality of agents each agent characterized by a plurality of agent attributes,
• wherein said scoring system orders the members of said agent population based upon relations among at least some of said customer attributes and said agent attributes.

A computer-implemented marketing system comprising:

• a state-event engine which manages behavior over time of a plurality of dynamic objects in response to events in deterministic fashion from user-supplied rules, wherein said dynamic objects include:
• a campaign engine for selectively generating and storing a campaign population, said campaign population having members comprising stored first data representing a plurality of marketing campaigns;
• a listing population data store for storing a listing population of offers to buy and sell resource items, said listing population having members comprising stored second data representing resource items having associated offers to buy or sell;
• a matching process for ordering the members of said listing population based on members of said campaign population such that a set of both offers to buy and offers to sell the same resource item is created;
• and
• a scoring process mechanism for creating a uniform measure of value for applying to said resource items.