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US 11,386,449 B2Granted
Method and system for lead budget allocation and optimization on a multi-channel multi-media campaign management and payment platform
OwnerStephanie Peterson, Or Yogevinventors
Life of this patent
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Abstract
A method and apparatus for managing and integrating lead sources for a marketing/advertisement campaign on a platform that allocates and optimizes lead source budgets and provides a customer service and payment processing function. The present technology as disclosed and claimed herein provides a platform that is a customer retention and customer management system that is automated to provide lead estimations and optimizations to allocate and optimize lead source budgets where the system has a learning function that improves over time.
Claims30
An online marketing/advertisement campaign on a customer relationship platform comprising:
- a lead estimator and budget allocation application engine processing on a lead estimator and budget allocation server configured on an internal network, where said lead estimator and budget allocation server is communicably coupled on a wide area network through a data exchange to one or more third party servers providing externally integrated lead sources and other functionality to thereby provide a platform that provides lead source budget estimates and that allocates and optimizes lead source budgets for both internally generated lead sources and externally generated third party lead sources, thereby creating a platform that integrates internal network and external network third party lead source channels on a customer management platform;
- a historical lead source database having electronically stored historical lead source data, where the historical lead source database is integrated on the internal network and communicably coupled to the one or more third party servers, where the historical lead source data is gathered from both the internal network lead source channels and external network third party lead source channels, where the historical lead source data includes one or more of performance data and demographic data;
- the estimator and budget allocation engine includes an estimator application tool processing on the lead estimator and budget allocation server where the estimator application tool includes an estimator algorithm based on an estimator model which is based on one or more of geographic information, category/type, budget level, and business history, where the estimator algorithm generates an estimator function, which includes one or more of a multivariate adaptive regression spline algorithm, a sequential covering rule building algorithm, decision trees and a K-mean clustering of vector quantization algorithm;
- and
- the estimator application tool includes a machine learning routine that accesses and uses the historical lead source data to perform predictive analytics and thereby provides a lead budget estimate.
2 more elements
A method for online marketing/advertisement campaign on a customer relationship platform comprising:
- programming and controlling a lead estimator and budget allocation server configured on an internal network with a lead estimator and budget allocation application engine, where said lead estimator and budget allocation server is communicably coupled on a wide area network through a data exchange to one or more third party servers providing externally integrated lead sources and other functionality, thereby providing a platform that provides lead source budget estimates and allocating and optimizing lead source budgets for both internally generated lead sources and externally generated third party lead sources, thereby creating a platform that is integrating internal network and external network third party lead source channels on a customer management platform;
- storing electronically historical lead source data on a historical lead source database, and integrating the historical lead source database on the internal network and communicably coupling the historical lead source database to the one or more third party servers, accessing and gathering the historical lead source data from both the internal network and external network third party lead source channels, where the historical lead source data includes one or more of performance data and demographic data;
- where programming and controlling with the lead estimator and budget allocation engine includes programming and controlling with an estimator application tool processing on the lead estimator and budget allocation server where the estimator application tool includes an estimator algorithm based on an estimator model which is based on one or more of geographic information, category/type, budget level, and business history, where the estimator algorithm is generating an estimator function, which includes one or more of a multivariate adaptive regression spline algorithm, a sequential covering rule building algorithm, decision trees and a K-mean clustering of vector quantization algorithm;
- and
- where programming and controlling with the estimator application tool includes a machine learning routine that accesses and uses the historical lead source data to perform predictive analytics and thereby provides a lead budget estimate.
2 more elements
Dependencies are inferred from the claim text.