Prioritization of insurance requotations

A method comprising:

• retrieving, by a processor of a first computing device and from an insurance quotation data repository computing device, information associated with a plurality of historical unclosed insurance quotations that previously did not result in a sale, wherein the information includes at least one of a quotation identifier, a name, an address, and a phone number;
• generating, by the processor, a list of insurance leads based on information stored on the insurance quotation data repository computing device including a type of insurance coverage to be offered and a geographic location of one or more individuals associated with the historical unclosed insurance quotations, wherein the one or more individuals received one of the historical unclosed insurance quotations but did not purchase insurance coverage;
• storing, by the processor and in a lead list data repository, the list of insurance leads, wherein each lead in the list of insurance leads corresponds to an individual associated with at least one of the historical unclosed insurance quotations;
• receiving, by the processor, the list of insurance leads from the lead list data repository communicatively coupled to the one or more computing devices, wherein the insurance leads correspond to the plurality of historical unclosed insurance quotations;
• generating, by the processor, a re-quotation for insurance coverage for each lead included on the list of insurance leads, the re-quotation including a difference from a previously unclosed insurance quotation, wherein the difference comprises at least one of an insurance coverage difference and a cost difference;
• generating, by the processor and based on analyzing the information associated with the plurality of historical insurance unclosed insurance quotations and information associated with the re-quotation, a multi-state regression model, wherein the multi-state regression model is common to a plurality of states;
• calculating, by the processor, a likelihood of closing for each of the leads using the multi-state regression model;
• determining, by the processor, a ranking for each of the leads based on the likelihood of closing output by the multi-state regression model, wherein the ranking for each of the leads is assigned in relation to other leads on the list of insurance leads;
• and
• communicating, by the processor and via a network, a first portion of the list of insurance leads to a first remote network device and a second portion of the list of insurance leads to a second device, wherein the first portion of the list of insurance leads includes lead data records associated with a first ranking range and the second portion of the list of insurance leads includes lead data records associated with a second ranking range.

A non-transitory, computer-readable medium storing instructions that, when executed by a processor, cause the processor to:

• retrieve, from an insurance quotation data repository computing device, information associated with the plurality of historical unclosed insurance quotations that previously did not result in a sale, wherein the information includes at least one of a quotation identifier, a name, an address, and a phone number;
• generate a list of insurance leads based on information stored on the insurance quotation data repository computing device including a type of insurance coverage to be offered and a geographic location of one or more individuals associated with the historical unclosed insurance quotations, wherein the one or more individuals received one of the historical unclosed insurance quotations but did not purchase insurance coverage;
• store, in a lead list data repository, the list of insurance leads, wherein each lead in the list of insurance leads corresponds to an individual associated with at least one of the historical unclosed insurance quotations;
• receive the list of insurance leads from the lead list data repository communicatively coupled to the one or more computing devices, wherein the insurance leads correspond to the plurality of historical unclosed insurance quotations;
• generate a re-quotation for insurance coverage for each lead included on the list of insurance leads, the re-quotation including a difference from a previously unclosed insurance quotation, wherein the difference comprises at least one of an insurance coverage difference and a cost difference;
• generate, based on analyzing the information associated with the plurality of historical insurance unclosed insurance quotations and information associated with the re-quotation, a multi-state regression model, wherein the multi-state regression model is common to a plurality of states;
• calculate a likelihood of closing for each of the leads using the multi-state regression model;
• determine a ranking for each of the leads based on the likelihood of closing output by the multi-state regression model, wherein the ranking for each of the leads is assigned in relation to other leads on the list of insurance leads;
• and
• communicate, via a network, a first portion of the list of insurance leads to a first remote network device and a second portion of the list of insurance leads to a second device, wherein the first portion of the list of insurance leads includes lead data records associated with a first ranking range and the second portion of the list of insurance leads includes lead data records associated with a second ranking range.