ENHANCED SYSTEMS, PROCESSES, AND USER INTERFACES FOR TARGETED MARKETING ASSOCIATED WITH A POPULATION OF ASSETS

• US 20180330390A1
• Filed: 11/16/2017
• Published: 11/15/2018
• Est. Priority Date: 05/27/2011
• Status: Abandoned Application

• Current Assignee: Amrit Dhar, Ashutosh Malaviya, Jason Hiver Tondu, Jia Ding, Lavan Sivasundaram, Zheng Maria Wang
• Original Assignee: Ashutosh Malaviya
• Inventors: MALAVIYA, Ashutosh, Ding, Jia, Sivasundaram, Lavan, Dhar, Amrit, Wang, Zheng Maria, Tondu, Jason Hiver
• Application Number:
  US15/815,441
• Publication Number:
  US 20180330390A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: Y04S 50/14 Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Abstract

Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Claims

1. A data storage and retrieval system for a computer memory useful for dynamically creating, targeting, and presenting an ordered listing of assets based upon large datasets of real estate data, comprising:

a processor based system receiving a plurality of assets over a computer network from a plurality of client computer terminals, wherein each of the assets has one or more attributes associated therewith, wherein the attributes comprise data associated with any of a deed, a mortgage, an assessment, a tax, a listing, demographic information, school information, household information, or economic information, and wherein a value is input for one or more of the attributes for each of the assets;

for each asset of said plurality of assets, said system;

receiving a property record associated with said asset;

determining whether data of the received record includes latitude and longitude information corresponding to the asset;

when the received record includes latitude and longitude information corresponding to the asset, providing a unique pointer to the asset and tagging each data layer identifier of all data layer identifiers of the asset;

when the received record does not include latitude and longitude information corresponding to the asset, determining whether there is other location data available for the asset;

when there is other location data available for the asset, applying a geocode for the asset and providing a unique pointer to the asset and tagging each data layer identifier of all data layer identifiers of the asset;

when there is not other location data available for the asset, determining whether the record can be enhanced;

when the record cannot be enhanced, removing the record;

when the record can be enhanced, enhancing the record, and returning to the receiving a property record step;

said system determining a first population of data from a remaining plurality of assets;

said system aggregating the first population of data into a database table;

said system comprising the computer memory, wherein the computer memory is configured according to the database table, wherein the database table comprises;

a plurality of rows, wherein each row comprises a stored property record of the remaining plurality of assets

a plurality of columns intersecting the plurality of rows to define a set of attribute values of the respective asset associated with respective row

wherein the processor implements a database optimization operation on the database table comprising;

determining a data type of each attribute of the set of attribute values, wherein each column comprises the data type of the relevant attribute value stored in the column;

reconfiguring the plurality of columns to aggregate a set of similar data types in contiguous columns;

said system applying at least one quantitative model to a first sample of the aggregated first population of data to back test the first sample of data, wherein each of the applied quantitative models produces an output associated therewith;

said system selecting one or more of the quantitative models, based upon results of the applied back testing;

said system applying one or more of the selected quantitative models to an independent second sample of the aggregated first population of data to back test the independent second sample of data;

said system choosing one of the selected quantitative models that yields the best results based on the back testing of the second sample;

said system applying the chosen selected quantitative model to at least a portion of the first population of data to produce a predictive output;

said system providing any of a ranked score or list of assets that is based on the predictive output, wherein the ranked score or list of assets is ranked based on a likelihood of a given event, wherein the likelihood of a given event comprises the likelihood of selling a house;

said system providing a part of the ranked score or list of assets to a sales agent, wherein the provided part corresponds to a territory of said sales agent within which said assets within said part of the ranked score or list of assets are located;

said system displaying the ranked score or list of assets through a user interface comprising a display;

said system continuously monitoring one or more assets that correspond to the ranked score or list for changes in said attributes associated therewith; and

based on said continuous monitoring, said system periodically correcting the chosen selected quantitative model, updating said predictive output, providing a revised ranked score or list of assets based on said updated predictive output, and, responsive thereto, updating said display.