In the market model systems and methods
OwnerXiaohua Cai, Piew Datta +1inventors
InventorsXiaohua Cai, Piew Datta, Charles Robida
Life of this patent
Estimating the term…
Abstract
One embodiment includes a system and method for identifying potential consumer candidates in the market for products or services is disclosed. The system and method may predict whether a consumer is likely to be “in the market” for a product or service can be achieved by utilizing an “in the market” system to determine which groups of consumers will likely respond to solicitation or be in need of a product or service. The system and method may provide data that allows businesses to quickly determine consumer groups that will likely utilize their services or purchase their products.
Claims22
A system for predicting whether a consumer is likely to be in the market for a product or service, the system comprising:
- a first physical data store configured to store credit data;
- a computing device in communication with the first physical data store and configured to:
- receive a request for an in the market assessment associated with at least one consumer;
- access credit data from the first physical data store associated with at least one consumer;
- apply in the market model to accessed credit data wherein the in the market model uses at least one trended attribute to assign at least one consumer to a trended attribute segment and applies a predictive sub-model to the corresponding trended attribute segment;
- and
- generate an in the market score representative of a likelihood the at least one consumer is in the market for a product or service.
A computer-implemented method of predicting whether a consumer is in the market for a product or service, the method comprising:
- receiving a request for an in the market assessment associated with a first consumer;
- accessing, from an electronic data store, credit data associated with the first consumer;
- processing, with one or more hardware computer processors, a in the market model to segment the first consumer into one of a plurality of trended attribute segments, wherein the in the market model analyzes the accessed credit data to assign at least one consumer to a trended attribute segment and applies a predictive sub-model to the corresponding trended attribute segment to generate an in the market score representative of the likelihood the first consumer is in the market for a product or service;
- and
- outputting the in the market score.
Non-transitory computer storage having stored thereon a computer program that instructs a computer system by at least:
- receiving a request for an in the market assessment associated with a first consumer;
- accessing, from an electronic data store, credit data associated with the first consumer;
- processing, with one or more hardware computer processors, a in the market model to segment the first consumer into one of a plurality of trended attribute segments, wherein the in the market model analyzes the accessed credit data to assign at least one consumer to a trended attribute segment and applies a predictive sub-model to the corresponding trended attribute segment to generate an in the market score representative of the likelihood the first consumer is in the market for a product or service;
- and
- outputting the in the market score.
A method of assessing whether a consumer is in the market for a good or service, the method comprising:
- processing, with one or more hardware computer processors, credit data associated with a first consumer for whom a request for an in the market assessment has been received;
- based at least partly on said processing, executing an in the market model and assigning the first consumer to a first trended attribute segment of a plurality of trended attribute segments, and executing a predictive sub-model to the corresponding first trended attribute segment;
- and
- generating, an in the market score representative of the likelihood the first consumer is in the market for a product or service.
Dependencies are inferred from the claim text.