US20130311341A1 - Systems and Methods of Matching Purchase Requests with Consummated Sales - Google Patents

Systems and Methods of Matching Purchase Requests with Consummated Sales Download PDF

Info

Publication number
US20130311341A1
US20130311341A1 US13/942,375 US201313942375A US2013311341A1 US 20130311341 A1 US20130311341 A1 US 20130311341A1 US 201313942375 A US201313942375 A US 201313942375A US 2013311341 A1 US2013311341 A1 US 2013311341A1
Authority
US
United States
Prior art keywords
sales
matching
lead
data
automobile
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US13/942,375
Inventor
Oded Noy
Jason McBride
James Berger
Rosa Welton
Scott Painter
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
TrueCar Inc
Original Assignee
TrueCar Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by TrueCar Inc filed Critical TrueCar Inc
Priority to US13/942,375 priority Critical patent/US20130311341A1/en
Assigned to ZAG.COM, INC. reassignment ZAG.COM, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: NOY, ODED, BERGER, JAMES, PAINTER, SCOTT, WELTON, ROSA, MCBRIDE, JASON
Assigned to TRUECAR, INC. reassignment TRUECAR, INC. CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: ZAG.COM, INC.
Publication of US20130311341A1 publication Critical patent/US20130311341A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12Accounting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/10Tax strategies

Definitions

  • the invention is directed to systems and methods of matching leads with sales.
  • the invention may include a sales matching system which may collect selected leads from a group of lead suppliers, collect a plurality of sales data from a variety of sources, including sellers and other sources, and match at least some of the sales records to the selected leads.
  • the invention may generate invoices to the selected sellers identifying invoice-able sales.
  • a sale may occur online after a lead has been provided from a lead supplier, which may identify a group of prospective customers, where the lead supplier may be a party other than the seller of the product or service.
  • the lead supplier may generate an invoice where the seller may compensate the lead supplier for a lead that led to the sale of a product.
  • the seller may compensate the lead supplier for a lead that led to the sale of a product.
  • the lead supplier may generate an invoice where the seller may compensate the lead supplier for a lead that led to the sale of a product.
  • the seller may compensate the lead supplier for a lead that led to the sale of a product.
  • there may be a website where potential customers seeking to purchase a car can enter information in order to receive information about car dealerships or online sellers, and contact or be contacted by these car sellers.
  • a business relationship might be created where the dealership or seller could compensate the lead supplier for providing the lead.
  • invoices for this business model may be based on easily measurable events such as banner views, page clicks, or the leads themselves.
  • the lead suppliers may create an invoice for the sellers, based on information that is within their control as the invoicing party. Since this type of information is within the lead suppliers' control, a lead supplier may easily generate an invoice based on how many times a customer has viewed a banner on its website, clicked an advertisement, or generated a lead.
  • While looking at customer activity on a lead supplier's website may provide some indication of customer exposure to seller advertisements or whether the customer contacts a seller, it may not provide an accurate indication of how many leads from the lead suppliers actually result in a sale.
  • a lead When a lead is provided, many different actions can occur. For instance, with an online automobile lead, the customer submitting the lead may (1) not purchase at all, (2) purchase somewhere else, (3) purchase as indicated in the lead, or (4) purchase a different product from the same seller, which may not exactly match the lead sent.
  • this information may not provide any accurate indication of how successfully a lead becomes a sale.
  • sales information may not be in the invoicing party's (i.e. the lead supplier's) control, and may mainly reside with other parties, such as the seller.
  • one online referral system allows for online and offline collection of information on potential purchasers from lead suppliers and matches this information with relevant participating sellers. See WO 01/40898, which is incorporated by reference in its entirety herein.
  • the lead supplier may join this referral system and be rewarded for each lead supplied or for each sale made.
  • the system attempts to track the sale made by collecting information from the merchants and the customers of the merchants' products and/or services. For instance, when a sale is successfully consummated, the merchant may update the information on the lead and pay the system accordingly. This system runs into the problems mentioned previously relating to how little incentive sellers have to self-report.
  • the invention provides systems and methods for matching leads with sales.
  • Various aspects of the invention described herein may be applied to any of the particular applications set forth below or for any other types of sales matching systems or methods.
  • the invention may be applied as a standalone system or method, or as part of an integrated business arrangement relating to sales of products or services in which a purchase request may be supplied to a seller. It shall be understood that different aspects of the invention can be appreciated individually, collectively, or in combination with each other.
  • the invention is directed to systems and methods of matching leads with sales.
  • the invention may include a sales matching system which may collect leads from a group of lead suppliers and sales records from various sources, which may include sellers and other sources, and match at least some of the sales records to the selected leads. Accordingly, the invention may generate an invoice based on the matches of the leads and sales.
  • An aspect of the invention provides a sales matching system that may include a sales matching service provider.
  • the sales matching service provider may be the owner of the system that may match sales to leads.
  • the sales matching service provider may automatically collect leads and sales data from multiple sources or systems. Leads may be collected from lead suppliers, which may identify a group of prospective customers for selected products or services, or directly from the customers, and sales data may be collected from sellers or other parties that may have sales data. By having multiple sources of sales data, the sales matching service provider may have a greater chance of spotting a consummated sale that arises out of a lead, and may get around the self-reporting problems that arise when relying only on sellers to provide sales records. For instance, for automobile sales, lead data may include leads from various lead supplier websites or directly from customers interacting with the sales matching service provider. Sales data may include information from a car dealer, loan originators, insurance carriers, and so forth. The data collected may include all of the sales records by the selling entity (such as an automobile dealer) regardless of the source of the customer.
  • the selling entity such as an automobile dealer
  • the sales matching service provider may also automatically match sales data with leads.
  • the system may use the collected leads and sales data and some sort of algorithm to match the leads and sales. After finding matches, the system may also automatically assign a matching confidence to each match.
  • the matching confidence may indicate the probability the lead led to the sale. This may result in a matched sale, which may be when a lead is matched with sales data and meets a minimum matching criteria.
  • the sales matching service provider may automatically generate all the appropriate invoices to the seller based on contractual agreements and a business relationship with the seller. For example, a sales matching service provider and a seller may have a pay-per-sale arrangement, and the seller may compensate the sales matching service provider for each lead that becomes a verified sale. In this situation, the invoices generated may include matches that reach a certain confidence threshold, based on the confidence that is assigned to each match. An invoice-able sale may be a matched sale that can be introduced as a line item in an invoice to the seller based on the contractual agreement.
  • a sales matching service provider and a seller could also have a subscription arrangement, where the seller may pay a fixed amount for a set period of time that the sales matching service provider enables lead suppliers or customers to communicate with the seller. Finding matched sales may still be useful under a subscription arrangement because it may enable parties to determine the value of leads as translated to sales.
  • the sales matching service provider may look at sales data from multiple sources to see the actual success of the lead in terms of verified sales. Also, by automatically collecting lead and sales data and matching the leads and sales, the sales matching service provider may gain an accurate sense of how many of the leads provided by suppliers or customers become actual sales by the seller. By using a multiplicity of sources, including sales information from the seller, the sales matching service provider may spot when a sale occurs and access information about the nature of the sale. With this additional information, the sales matching service provider may determine whether the lead became a sale with some degree of confidence. Also, because the seller may not be responsible for tracking the sale and informing the sales matching service provider when a lead becomes a sale, the problems that arise in the usual self-reporting scenario may not arise.
  • Another embodiment of the invention provides a mechanism that may normalize or clean the lead and sales data that a sales matching service provider receives from various sources.
  • the data from each of the sources may be stored in different formats, based on the standards of each of the sources.
  • a normalization mechanism may put the data into a standard format for the sales matching service provider. This normalization may assist with data comparison and matching. The mechanism may also remove any unnecessary data, so only data that is relevant for matching the leads and sales and assigning a matching confidence may remain.
  • the sales matching service provider may also include data cleaning mechanisms that could handle duplicate invoicing and other multiple-source matching conflicts. For instance, a customer could communicate with more than one lead supplier, so that multiple leads could result in a single sale. Also, multiple data sources of sales data could show duplicate information for the same sale, such as when a car dealership sales record and auto insurance company both have records for the same sale.
  • the system may also have various mechanisms to handle exceptions and edge cases for approval. Matches between leads and sales may be made with varying degrees of confidence. If the matched sale does not clearly meet the threshold confidence to be an approved sale and is not automatically approved, an additional review may assist in determining whether the match may be an approved sale. If this additional review still results in uncertainty, an additional manual review may take place.
  • the sales matching service provider may receive leads and sales data over the Internet from multiple sources, such as lead suppliers and sellers. This information relating to leads and sales data may be stored on one or more servers in databases as with other sources of information described elsewhere herein.
  • a matching engine may automatically match the leads and sales, and the sales matching service provider may generate invoices that may be sent to sellers while keeping track of all financial accounting information.
  • the sales matching service provider may maintain an appropriate level of data security throughout the process.
  • the sales matching service provider may connect to a data warehouse so that the buyer relationship managers can conduct effective business offline, based on reporting.
  • the data warehouse may store records that may be part of a reporting system that can provide dealers with feedback or analysis based on sales information.
  • a seller may request sales credit or may request to reject sales from the sales matching service provider.
  • a seller may choose to request sales credit or to reject sales if the seller disagrees with an item on an invoice.
  • the sales matching service provider may determine whether to grant the request, and may adjust approved sales and invoice information accordingly.
  • FIG. 1 shows a barebones sales matching system where a lead supply and raw sales data sources may communicate with a sales matching service provider.
  • FIG. 2 illustrates lead supply and sales data sources and how the data may be stored in a sales matching system.
  • FIG. 3 illustrates data flow within a sales matching system.
  • FIG. 4 illustrates seller interactions with a sales matching system.
  • FIG. 1 shows a barebones sales matching system.
  • Lead supply 10 and one or more raw sales data source 11 may communicate over the Internet 12 with a sales matching service provider.
  • the lead supply 10 may include web sites of lead suppliers 13 , 14 that may identify a group of prospective customers or may include customers that provide leads directly.
  • the raw sales data sources 11 may include sellers and other sources of sales data 15 , 16 .
  • raw sales data sources may include car dealers, loan originators, insurance carriers, and so forth.
  • the sales matching service provider may include a data normalization and matching engine 17 , a sales matching application 18 , and financial systems 19 .
  • the data normalization and matching engine 17 may receive the information from multiple sources, comprising lead supply 10 and raw sales data sources 11 , over the Internet 12 . It may normalize all of the data from the multiple sources so that the information has a standard format, which may make it easier to compare and match leads and sales.
  • the data normalization and matching engine 17 may also clean up the data to remove duplicates and other unnecessary information. It may then take the normalized data and match the leads with the sales. It may also assign a confidence for each match, which may help to determine whether a matched sale is an approved sale.
  • the data normalization and matching engine 17 may be in communication with databases that store the information.
  • the sales matching application 18 may the matched sales that are not obviously an automatically approved sale.
  • the sales matching application 18 may look more carefully at matched sales data and may also look at additional information to determine whether the matched sale reaches the threshold for an approved sale.
  • the financial systems 19 may create an invoice which may use the approved sale data.
  • the invoice may depend on the business arrangement between the sales matching service provider and the sellers. For example, if there is a pay-per-sale arrangement, the seller may pay the sales matching service provider depending on invoice-able sales. Invoice-able sales may be approved sales, which are matched sales that meet a certain confidence threshold, that also fit the business arrangement. In another example, a sales matching service provider and seller may have a subscription arrangement, where the seller may pay to use the sales matching service provider. If there are uncertainties, there may be mechanisms to deal with conflicts and exceptions and edge cases.
  • the financial systems 19 may keep track of invoices that have been provided to sellers as well as anything that has been collected from a seller.
  • the financial systems 19 may keep a general accounting for the sales matching service provider.
  • FIG. 2 illustrates leads and sales data sources and how data may be stored in a sales matching system.
  • There may be lead supply 20 and raw sales data sources 21 that communicate with a sales matching service provider.
  • An input/output communication port 22 may enable communication between the lead supply 20 and raw sales data sources 21 and the sales matching service provider.
  • the input/output communication port 22 may communicate with a central processing unit (CPU) 23 .
  • the CPU 23 may also communicate with an input device 24 , ROM 25 , RAM 26 , a clock 27 , and databases 28 .
  • the databases 28 may store information relevant to the sales matching.
  • Data received from lead supply 20 and raw sales data sources 21 may be stored in lead supply and raw sales data sources databases 28 A, 28 B.
  • a historical matched dataset 28 D may keep track of matched sales, which may include duplicates from multiple sources.
  • An approved sales database 28 E may include matched sales that reach a certain confidence threshold and are not duplicates. If there are matches that are exceptions or edge cases, they may have to undergo another approval process. If the confidence threshold is met, the matched sale may be an approved sale which may be stored in the approved sales databases 28 E.
  • An invoices database 28 F may include invoices generated that may include invoice-able sales. Matched sales may have been processed to determine whether they meet the confidence threshold to become approved sales and fit in the business arrangement to constitute invoice-able sales.
  • a collections database 28 G may include accounting information, such as which sellers have paid off their invoices, and so forth.
  • the data warehouse 28 H may enable buyer relationship managers to conduct effective business offline, based on reporting.
  • the data warehouse 28 H may store records that may be part of a reporting system that can provide dealers with feedback or analysis based on sales information.
  • FIG. 3 illustrates data flow within a sales matching system.
  • a sales matching service provider may receive data from lead supply or from raw sales data sources.
  • the source may be a website which provides leads to customers, or may be customers generating the leads directly.
  • a lead may be submitted from a web site or a customer 30 . This may become the lead supply data, which may be stored in a lead supply database 31 .
  • the process may start when a data provider submits sales data 32 .
  • the data provider may be one of multiple sources (seller, insurance, etc.). This submitted data may become the raw sales data, which may be stored in a raw sales data sources database 33 .
  • the sales data may then go through a data normalizer 34 , which may normalize and clean the data.
  • This normalized data may be stored in a raw normalized dataset 35 .
  • both the lead and sales data may go through the data normalizer, and both sets of normalized data may be stored in the raw normalized dataset.
  • the normalized lead supply data and the normalized sales data may go through a matching engine 36 , which may match the leads and sales.
  • a confidence may be assigned to each match. If the confidence is so great that a sale definitely came from a lead, the match may be approved automatically and may be stored in an approved sales database 37 . If the confidence is not automatically approved, then a sales matching application 38 may conduct additional analysis on the match. If, following the sales matching application's 38 analysis, the match reaches a sufficiently high confidence threshold, then the match may be approved and stored in the approved sales database. If it is still unclear whether the match confidence is enough 39 , then the match may undergo additional manual review 40 .
  • the approved sales data may go through a financial system adapter 41 , which may create invoices that may be stored in financial invoices databases 42 . Whether an approved sale constitutes and invoice-able sale may depend on the business relationship between the sales matching service provider and the seller. Also, based on the invoices, the system may account for payments made, which may be stored in financial collections databases 43 .
  • the approved sales data may also go through a data adapter 44 which may prepare the data to be placed into a format that goes with the data warehouse database 45 .
  • the data warehouse 45 may store records that may be part of a reporting system that can provide dealers with feedback or analysis based on their sales information.
  • FIG. 4 illustrates seller interactions with a sales matching system.
  • a seller may communicate with a sales matching service provider by providing raw sales data 50 , requesting sales credit 52 , or requesting to reject sales 53 .
  • a seller may also interact with a sales matching service provider by receiving reporting data such as invoices 61 or historical reports 62 .
  • a seller may be one of the sources that may provide a sales matching service provider with raw sales data 50 .
  • the raw sales data may be stored in a raw sales database 51 .
  • the sales data may go through a sales matching application 56 , which may match sales with leads.
  • a confidence may be assigned to each match. If a match reaches a sufficiently high confidence threshold, then the match may be approved and stored in an approved sales database 59 .
  • the approved sales data may also be used to generate invoices, which may be stored in a financial invoices database 57 . Whether an approved sale constitutes an invoice-able sale may depend on the business relationship between the sales matching service provider and the seller. Also, based on the invoices, the system may account for payments made, which may be stored in a financial collections database 58 .
  • a seller may request sales credit 52 or may request to reject sales 53 from a sales matching service provider. Such seller requests may be stored in a request queue database 54 . The requests may undergo a manual request review 55 , which may determine whether to grant or not grant the requests for sales credit or to reject sales. Decisions whether to grant requests may be communicated to the sales matching application 56 .
  • a granted request for sales credit 52 may result in a match that automatically becomes an approved sale, while a granted request to reject a sale 53 may result in automatically preventing a match from becoming an approved sale, no matter the confidence.
  • the sales matching system may also include a reporting data database 60 , which may include any data that the sales matching service provider may wish to provide to the seller.
  • the sales matching service provider may provide the seller with invoices 61 , which may include invoice-able matches and compensation that a seller may owe for a consummated sale from a lead. If a seller disagrees with an item on an invoice, the seller may make a request for sales credit 52 or request to reject sales 53 accordingly.
  • the sales matching service provider may also provide the seller with historical reports 62 , which may include information that may provide sellers with performance feedback or analysis based on their sales information.

Abstract

A sales matching system which may match sales of products or services with consummated sales by collecting selected leads from a group of lead suppliers, collecting a plurality of sales records from multiple sales sources, and matching at least some of the sales records to selected leads. The matches may be assigned a matching confidence, and may reach a threshold level of confidence to be considered a matched sale. The system may also generate invoices to selected sellers identifying invoice-able sales for which compensation may be obtained in exchange for providing leads giving rise thereto.

Description

    FIELD OF THE INVENTION
  • This invention is directed to systems and methods of matching leads with sales. The invention may include a sales matching system which may collect selected leads from a group of lead suppliers, collect a plurality of sales data from a variety of sources, including sellers and other sources, and match at least some of the sales records to the selected leads. In addition, the invention may generate invoices to the selected sellers identifying invoice-able sales.
  • BACKGROUND OF THE INVENTION
  • Today, the Internet is a useful tool for purchasing products or services. A sale may occur online after a lead has been provided from a lead supplier, which may identify a group of prospective customers, where the lead supplier may be a party other than the seller of the product or service.
  • Typically, in such situations, the lead supplier may generate an invoice where the seller may compensate the lead supplier for a lead that led to the sale of a product. For example, in the automobile sales industry, there may be a website where potential customers seeking to purchase a car can enter information in order to receive information about car dealerships or online sellers, and contact or be contacted by these car sellers. In such a situation, a business relationship might be created where the dealership or seller could compensate the lead supplier for providing the lead.
  • Oftentimes, invoices for this business model may be based on easily measurable events such as banner views, page clicks, or the leads themselves. In these situations, the lead suppliers may create an invoice for the sellers, based on information that is within their control as the invoicing party. Since this type of information is within the lead suppliers' control, a lead supplier may easily generate an invoice based on how many times a customer has viewed a banner on its website, clicked an advertisement, or generated a lead.
  • While looking at customer activity on a lead supplier's website may provide some indication of customer exposure to seller advertisements or whether the customer contacts a seller, it may not provide an accurate indication of how many leads from the lead suppliers actually result in a sale. When a lead is provided, many different actions can occur. For instance, with an online automobile lead, the customer submitting the lead may (1) not purchase at all, (2) purchase somewhere else, (3) purchase as indicated in the lead, or (4) purchase a different product from the same seller, which may not exactly match the lead sent. Although there might be an increased likelihood of a sale occurring from the number of times an advertisement is viewed or a lead is created, this information may not provide any accurate indication of how successfully a lead becomes a sale. Unlike the advertisement and lead information, sales information may not be in the invoicing party's (i.e. the lead supplier's) control, and may mainly reside with other parties, such as the seller.
  • Even if a lead supplier, or any other invoice-generating party, wanted to receive information from a seller about whether a lead led to a sale, the nature of the relationship is such that a lead supplier or the invoice-generating party would not be able to rely on the seller to self-report sales that are invoice-able. The seller has very little incentive to keep track of leads that become actual sales, because a successful match only results in the seller having to compensate the invoicing party further. Additionally, even if a seller wanted to track leads and sales, it would need to expend a great deal of administrative effort to follow exactly what leads led to a successful purchase of a car, and that effort could be costly to the seller. Thus, with the current system a tension may exist between the lead supplier who lacks sales information but wants to generate invoices on successful leads and the seller who has sales information but has no desire or incentive to put in the effort of tracking a sale from a lead.
  • For example, one online referral system allows for online and offline collection of information on potential purchasers from lead suppliers and matches this information with relevant participating sellers. See WO 01/40898, which is incorporated by reference in its entirety herein. The lead supplier may join this referral system and be rewarded for each lead supplied or for each sale made. The system attempts to track the sale made by collecting information from the merchants and the customers of the merchants' products and/or services. For instance, when a sale is successfully consummated, the merchant may update the information on the lead and pay the system accordingly. This system runs into the problems mentioned previously relating to how little incentive sellers have to self-report.
  • There is a need for improved systems and methods of sales matching that may accurately determine how many leads end up in actual sales and generates invoices accordingly.
  • SUMMARY OF THE INVENTION
  • The invention provides systems and methods for matching leads with sales. Various aspects of the invention described herein may be applied to any of the particular applications set forth below or for any other types of sales matching systems or methods. The invention may be applied as a standalone system or method, or as part of an integrated business arrangement relating to sales of products or services in which a purchase request may be supplied to a seller. It shall be understood that different aspects of the invention can be appreciated individually, collectively, or in combination with each other.
  • The invention is directed to systems and methods of matching leads with sales. The invention may include a sales matching system which may collect leads from a group of lead suppliers and sales records from various sources, which may include sellers and other sources, and match at least some of the sales records to the selected leads. Accordingly, the invention may generate an invoice based on the matches of the leads and sales.
  • An aspect of the invention provides a sales matching system that may include a sales matching service provider. The sales matching service provider may be the owner of the system that may match sales to leads.
  • The sales matching service provider may automatically collect leads and sales data from multiple sources or systems. Leads may be collected from lead suppliers, which may identify a group of prospective customers for selected products or services, or directly from the customers, and sales data may be collected from sellers or other parties that may have sales data. By having multiple sources of sales data, the sales matching service provider may have a greater chance of spotting a consummated sale that arises out of a lead, and may get around the self-reporting problems that arise when relying only on sellers to provide sales records. For instance, for automobile sales, lead data may include leads from various lead supplier websites or directly from customers interacting with the sales matching service provider. Sales data may include information from a car dealer, loan originators, insurance carriers, and so forth. The data collected may include all of the sales records by the selling entity (such as an automobile dealer) regardless of the source of the customer.
  • The sales matching service provider may also automatically match sales data with leads. The system may use the collected leads and sales data and some sort of algorithm to match the leads and sales. After finding matches, the system may also automatically assign a matching confidence to each match. The matching confidence may indicate the probability the lead led to the sale. This may result in a matched sale, which may be when a lead is matched with sales data and meets a minimum matching criteria.
  • The sales matching service provider may automatically generate all the appropriate invoices to the seller based on contractual agreements and a business relationship with the seller. For example, a sales matching service provider and a seller may have a pay-per-sale arrangement, and the seller may compensate the sales matching service provider for each lead that becomes a verified sale. In this situation, the invoices generated may include matches that reach a certain confidence threshold, based on the confidence that is assigned to each match. An invoice-able sale may be a matched sale that can be introduced as a line item in an invoice to the seller based on the contractual agreement. A sales matching service provider and a seller could also have a subscription arrangement, where the seller may pay a fixed amount for a set period of time that the sales matching service provider enables lead suppliers or customers to communicate with the seller. Finding matched sales may still be useful under a subscription arrangement because it may enable parties to determine the value of leads as translated to sales.
  • Unlike systems that only look at data in the invoice-generating party's control and estimate lead success based on that data, the sales matching service provider may look at sales data from multiple sources to see the actual success of the lead in terms of verified sales. Also, by automatically collecting lead and sales data and matching the leads and sales, the sales matching service provider may gain an accurate sense of how many of the leads provided by suppliers or customers become actual sales by the seller. By using a multiplicity of sources, including sales information from the seller, the sales matching service provider may spot when a sale occurs and access information about the nature of the sale. With this additional information, the sales matching service provider may determine whether the lead became a sale with some degree of confidence. Also, because the seller may not be responsible for tracking the sale and informing the sales matching service provider when a lead becomes a sale, the problems that arise in the usual self-reporting scenario may not arise.
  • Another embodiment of the invention provides a mechanism that may normalize or clean the lead and sales data that a sales matching service provider receives from various sources. When information is gathered from multiple sources, such as a car dealership and an auto insurance company, the data from each of the sources may be stored in different formats, based on the standards of each of the sources. A normalization mechanism may put the data into a standard format for the sales matching service provider. This normalization may assist with data comparison and matching. The mechanism may also remove any unnecessary data, so only data that is relevant for matching the leads and sales and assigning a matching confidence may remain.
  • Additionally, the sales matching service provider may also include data cleaning mechanisms that could handle duplicate invoicing and other multiple-source matching conflicts. For instance, a customer could communicate with more than one lead supplier, so that multiple leads could result in a single sale. Also, multiple data sources of sales data could show duplicate information for the same sale, such as when a car dealership sales record and auto insurance company both have records for the same sale.
  • After the sales matching service provider may try to match the normalized and cleaned data, the system may also have various mechanisms to handle exceptions and edge cases for approval. Matches between leads and sales may be made with varying degrees of confidence. If the matched sale does not clearly meet the threshold confidence to be an approved sale and is not automatically approved, an additional review may assist in determining whether the match may be an approved sale. If this additional review still results in uncertainty, an additional manual review may take place.
  • This entire system of the sales matching service provider may be fully web-enabled. The sales matching service provider may receive leads and sales data over the Internet from multiple sources, such as lead suppliers and sellers. This information relating to leads and sales data may be stored on one or more servers in databases as with other sources of information described elsewhere herein. A matching engine may automatically match the leads and sales, and the sales matching service provider may generate invoices that may be sent to sellers while keeping track of all financial accounting information. The sales matching service provider may maintain an appropriate level of data security throughout the process.
  • The sales matching service provider may connect to a data warehouse so that the buyer relationship managers can conduct effective business offline, based on reporting. The data warehouse may store records that may be part of a reporting system that can provide dealers with feedback or analysis based on sales information.
  • In one embodiment of the invention, a seller may request sales credit or may request to reject sales from the sales matching service provider. A seller may choose to request sales credit or to reject sales if the seller disagrees with an item on an invoice. The sales matching service provider may determine whether to grant the request, and may adjust approved sales and invoice information accordingly.
  • Other goals and advantages of the invention will be further appreciated and understood when considered in conjunction with the following description and accompanying drawings. While the following description may contain specific details describing particular embodiments of the invention, this should not be construed as limitations to the scope of the invention but rather as an exemplification of preferable embodiments. For each aspect of the invention, many variations are possible as suggested herein that are known to those of ordinary skill in the art. A variety of changes and modifications can be made within the scope of the invention without departing from the spirit thereof.
  • INCORPORATION BY REFERENCE
  • All publications and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • The features and advantages of the invention may be further explained by reference to the following detailed description and accompanying drawings that sets forth illustrative embodiments.
  • FIG. 1 shows a barebones sales matching system where a lead supply and raw sales data sources may communicate with a sales matching service provider.
  • FIG. 2 illustrates lead supply and sales data sources and how the data may be stored in a sales matching system.
  • FIG. 3 illustrates data flow within a sales matching system.
  • FIG. 4 illustrates seller interactions with a sales matching system.
  • DETAILED DESCRIPTION OF THE INVENTION
  • While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby.
  • Referring to the drawings in detail, FIG. 1 shows a barebones sales matching system. Lead supply 10 and one or more raw sales data source 11 may communicate over the Internet 12 with a sales matching service provider. The lead supply 10 may include web sites of lead suppliers 13, 14 that may identify a group of prospective customers or may include customers that provide leads directly. The raw sales data sources 11 may include sellers and other sources of sales data 15, 16. For instance, in the case of automobile sales, raw sales data sources may include car dealers, loan originators, insurance carriers, and so forth.
  • The sales matching service provider may include a data normalization and matching engine 17, a sales matching application 18, and financial systems 19. The data normalization and matching engine 17 may receive the information from multiple sources, comprising lead supply 10 and raw sales data sources 11, over the Internet 12. It may normalize all of the data from the multiple sources so that the information has a standard format, which may make it easier to compare and match leads and sales. The data normalization and matching engine 17 may also clean up the data to remove duplicates and other unnecessary information. It may then take the normalized data and match the leads with the sales. It may also assign a confidence for each match, which may help to determine whether a matched sale is an approved sale. The data normalization and matching engine 17 may be in communication with databases that store the information.
  • The sales matching application 18 may the matched sales that are not obviously an automatically approved sale. The sales matching application 18 may look more carefully at matched sales data and may also look at additional information to determine whether the matched sale reaches the threshold for an approved sale.
  • The financial systems 19 may create an invoice which may use the approved sale data. The invoice may depend on the business arrangement between the sales matching service provider and the sellers. For example, if there is a pay-per-sale arrangement, the seller may pay the sales matching service provider depending on invoice-able sales. Invoice-able sales may be approved sales, which are matched sales that meet a certain confidence threshold, that also fit the business arrangement. In another example, a sales matching service provider and seller may have a subscription arrangement, where the seller may pay to use the sales matching service provider. If there are uncertainties, there may be mechanisms to deal with conflicts and exceptions and edge cases.
  • The financial systems 19 may keep track of invoices that have been provided to sellers as well as anything that has been collected from a seller. The financial systems 19 may keep a general accounting for the sales matching service provider.
  • It shall be understood that any reference to the term leads in the foregoing and following could be interpreted generally and include purchase requests or other communications from a potential buyer.
  • FIG. 2 illustrates leads and sales data sources and how data may be stored in a sales matching system. There may be lead supply 20 and raw sales data sources 21 that communicate with a sales matching service provider. An input/output communication port 22 may enable communication between the lead supply 20 and raw sales data sources 21 and the sales matching service provider. The input/output communication port 22 may communicate with a central processing unit (CPU) 23. The CPU 23 may also communicate with an input device 24, ROM 25, RAM 26, a clock 27, and databases 28.
  • The databases 28 may store information relevant to the sales matching. Data received from lead supply 20 and raw sales data sources 21 may be stored in lead supply and raw sales data sources databases 28A, 28B. There may also be raw normalized datasets 28C, which may include the data received from the lead supply 20 and raw sales data sources 21 that have been normalized and cleaned up so that data may be in a standard format, and any unnecessary information may have been removed. A historical matched dataset 28D may keep track of matched sales, which may include duplicates from multiple sources. An approved sales database 28E may include matched sales that reach a certain confidence threshold and are not duplicates. If there are matches that are exceptions or edge cases, they may have to undergo another approval process. If the confidence threshold is met, the matched sale may be an approved sale which may be stored in the approved sales databases 28E.
  • There may also be a set of databases devoted to financials 28F, 28G. This may include information about invoices and collections. An invoices database 28F may include invoices generated that may include invoice-able sales. Matched sales may have been processed to determine whether they meet the confidence threshold to become approved sales and fit in the business arrangement to constitute invoice-able sales. A collections database 28G may include accounting information, such as which sellers have paid off their invoices, and so forth.
  • There may also be a data warehouse 28H. The data warehouse 28H may enable buyer relationship managers to conduct effective business offline, based on reporting. The data warehouse 28H may store records that may be part of a reporting system that can provide dealers with feedback or analysis based on sales information.
  • FIG. 3 illustrates data flow within a sales matching system. There are several ways that data can get to a matching engine. A sales matching service provider may receive data from lead supply or from raw sales data sources. For lead supply, the source may be a website which provides leads to customers, or may be customers generating the leads directly. At the first step, a lead may be submitted from a web site or a customer 30. This may become the lead supply data, which may be stored in a lead supply database 31. For raw sales data sources, the process may start when a data provider submits sales data 32. The data provider may be one of multiple sources (seller, insurance, etc.). This submitted data may become the raw sales data, which may be stored in a raw sales data sources database 33. The sales data may then go through a data normalizer 34, which may normalize and clean the data. This normalized data may be stored in a raw normalized dataset 35. In one embodiment of the invention, both the lead and sales data may go through the data normalizer, and both sets of normalized data may be stored in the raw normalized dataset.
  • The normalized lead supply data and the normalized sales data may go through a matching engine 36, which may match the leads and sales. A confidence may be assigned to each match. If the confidence is so great that a sale definitely came from a lead, the match may be approved automatically and may be stored in an approved sales database 37. If the confidence is not automatically approved, then a sales matching application 38 may conduct additional analysis on the match. If, following the sales matching application's 38 analysis, the match reaches a sufficiently high confidence threshold, then the match may be approved and stored in the approved sales database. If it is still unclear whether the match confidence is enough 39, then the match may undergo additional manual review 40.
  • The approved sales data may go through a financial system adapter 41, which may create invoices that may be stored in financial invoices databases 42. Whether an approved sale constitutes and invoice-able sale may depend on the business relationship between the sales matching service provider and the seller. Also, based on the invoices, the system may account for payments made, which may be stored in financial collections databases 43.
  • The approved sales data may also go through a data adapter 44 which may prepare the data to be placed into a format that goes with the data warehouse database 45. The data warehouse 45 may store records that may be part of a reporting system that can provide dealers with feedback or analysis based on their sales information.
  • FIG. 4 illustrates seller interactions with a sales matching system. A seller may communicate with a sales matching service provider by providing raw sales data 50, requesting sales credit 52, or requesting to reject sales 53. A seller may also interact with a sales matching service provider by receiving reporting data such as invoices 61 or historical reports 62.
  • A seller may be one of the sources that may provide a sales matching service provider with raw sales data 50. The raw sales data may be stored in a raw sales database 51. The sales data may go through a sales matching application 56, which may match sales with leads. A confidence may be assigned to each match. If a match reaches a sufficiently high confidence threshold, then the match may be approved and stored in an approved sales database 59.
  • The approved sales data may also be used to generate invoices, which may be stored in a financial invoices database 57. Whether an approved sale constitutes an invoice-able sale may depend on the business relationship between the sales matching service provider and the seller. Also, based on the invoices, the system may account for payments made, which may be stored in a financial collections database 58.
  • A seller may request sales credit 52 or may request to reject sales 53 from a sales matching service provider. Such seller requests may be stored in a request queue database 54. The requests may undergo a manual request review 55, which may determine whether to grant or not grant the requests for sales credit or to reject sales. Decisions whether to grant requests may be communicated to the sales matching application 56. A granted request for sales credit 52 may result in a match that automatically becomes an approved sale, while a granted request to reject a sale 53 may result in automatically preventing a match from becoming an approved sale, no matter the confidence.
  • The sales matching system may also include a reporting data database 60, which may include any data that the sales matching service provider may wish to provide to the seller. For instance, the sales matching service provider may provide the seller with invoices 61, which may include invoice-able matches and compensation that a seller may owe for a consummated sale from a lead. If a seller disagrees with an item on an invoice, the seller may make a request for sales credit 52 or request to reject sales 53 accordingly. The sales matching service provider may also provide the seller with historical reports 62, which may include information that may provide sellers with performance feedback or analysis based on their sales information.
  • It should be understood from the foregoing that, while particular implementations have been illustrated and described, various modifications can be made thereto and are contemplated herein. It is also not intended that the invention be limited by the specific examples provided within the specification. While the invention has been described with reference to the aforementioned specification, the descriptions and illustrations of the preferable embodiments herein are not meant to be construed in a limiting sense. Furthermore, it shall be understood that all aspects of the invention are not limited to the specific depictions, configurations or relative proportions set forth herein which depend upon a variety of conditions and variables. Various modifications in form and detail of the embodiments of the invention will be apparent to a person skilled in the art. It is therefore contemplated that the invention shall also cover any such modifications, variations and equivalents.

Claims (17)

What is claimed is:
1. A method of matching leads with consummated sales comprising the following steps:
collecting selected leads from at least one lead supplier which identifies a group of prospective buyers for selected products or services;
collecting a plurality of sales records having sales data information for consummated sales of the selected products or services, wherein the plurality of sales records are derived from multiple sales sources; and
matching at least some of the sales records to the selected leads provided from the group of lead suppliers according to a predetermined matching confidence.
2. The method of claim 1, wherein the consummated sales of the selected products or services provide matched sales corresponding to at least one of the sellers from a group of selected sellers upon meeting a threshold level of matching confidence.
3. The method of claim 1, further comprising the step of:
generating invoices to a group of selected sellers identifying invoice-able sales of selected products or services for which compensation may be obtained in exchange for providing the selected leads giving rise thereto.
4. The method of claim 1, wherein the selected leads are collected from a group of lead suppliers.
5. The method of claim 1, wherein the selected leads are collected from the group of lead suppliers through the Internet or other telecommunication medium.
6. A lead matching system comprising:
a source of sales leads data compiled from a plurality of lead suppliers;
a source of sales information including consummated sales data compiled from a plurality of confirmed sales transactions by a group of sellers; and
a sales lead matching system in communication with the source of sales leads data and the source of sales information, wherein the sales lead matching system includes:
a data normalization engine for normalizing the source of sales information to provide a normalized sales dataset; and
a matching engine for automatically matching at least one confirmed sale transaction from the normalized sales dataset to at least one lead from the source of sales lead data.
7. The lead matching system of claim 5, wherein the matching engine establishes matches between the confirmed sales transactions within the normalized sales dataset and the leads from the source of sales lead data based on a predetermined matching confidence.
8. The lead matching system of claim 5, further comprising:
a sales matching application in communication with the matching engine for identifying a plurality of matched sales that are automatically approved sales or sales requiring manual review.
9. The lead matching system of claim 5, further comprising:
a financial system adaptor for receiving information related to the automatically approves sales that are compiled in a financial collections database or a financial invoices database.
10. The lead matching system of claim 5, wherein the financial invoices database contains information related to invoice-able sales that appear as a line item on an invoice to a seller from the group of sellers for which compensation may be obtained by a sales matching service provider for providing the selected leads giving rise thereto.
11. A method of matching a sales leads with a consummated sale for recognition and compensation to a sales matching service provider comprising the following steps:
collecting selected leads from a group of lead suppliers through the Internet or other telecommunication medium which identify prospective buyers of selected products or services;
collecting a plurality of sales records having sales data information for consummated sales of the selected products or services by a group of sellers, wherein the plurality of sales records are derived from multiple sales sources; and
matching at least one sales record to at least one selected lead from the group of lead suppliers according to a predetermined matching confidence to provide a matched sales record.
12. The method of claim 10, further comprising the step of:
generating an invoice for a seller from the group of sellers who is identified in the matched sales record in accordance with a preestablished business arrangement for compensation from the seller to the sales matching service provider.
13. The method of claim 10, wherein multiple sales sources from which the plurality of sales records are derived include information from at least one or more of the following sources: dealers, loan originators, and insurance carriers.
14. An automobile sales lead matching system comprising:
a database of automobile sales leads data compiled from one or more lead suppliers;
a database of automobile sales information including sales data from automobile dealers derived from one or more automobile sales related transactions; and
an automobile sales lead matching system in communication with the automobile sales leads database and the automobile sales information database, wherein the matching system includes:
a data normalization engine for normalizing the automobile sales information derived from one or more sources of sales information to provide a normalized sales dataset; and
a matching engine for matching at least one sales record from the normalized sales dataset to at least one lead from the automobile sales lead database.
15. The automobile sales lead matching system of claim 13, wherein the database of automobile sales information includes information from dealer based sales of automobiles.
16. An automobile sales matching system comprising:
a database of automobile sales purchase requests compiled from a plurality of sources of sales purchase request data;
a database of automobile sales information including sales data from automobile dealers derived from a plurality of automobile sales related transactions; and
an automobile sales matching system in communication with the automobile sales purchase request database and the automobile sales information database, wherein the matching system includes:
a data normalization engine for normalizing the automobile sales information derived from multiple sources of sales information to provide a normalized sales dataset; and
a matching engine for matching at least one sales record from the normalized sales dataset to at least one purchase request from the source of sales purchase request data.
17. The automobile sales matching system of claim 15, wherein the database of automobile sales information includes information from dealer based sales of automobiles.
US13/942,375 2007-12-31 2013-07-15 Systems and Methods of Matching Purchase Requests with Consummated Sales Abandoned US20130311341A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US13/942,375 US20130311341A1 (en) 2007-12-31 2013-07-15 Systems and Methods of Matching Purchase Requests with Consummated Sales

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/968,137 US8515817B2 (en) 2007-12-31 2007-12-31 Systems and methods of matching purchase requests with consummated sales
US13/942,375 US20130311341A1 (en) 2007-12-31 2013-07-15 Systems and Methods of Matching Purchase Requests with Consummated Sales

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
US11/968,137 Continuation US8515817B2 (en) 2007-12-31 2007-12-31 Systems and methods of matching purchase requests with consummated sales

Publications (1)

Publication Number Publication Date
US20130311341A1 true US20130311341A1 (en) 2013-11-21

Family

ID=40799627

Family Applications (2)

Application Number Title Priority Date Filing Date
US11/968,137 Active 2031-10-17 US8515817B2 (en) 2007-12-31 2007-12-31 Systems and methods of matching purchase requests with consummated sales
US13/942,375 Abandoned US20130311341A1 (en) 2007-12-31 2013-07-15 Systems and Methods of Matching Purchase Requests with Consummated Sales

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US11/968,137 Active 2031-10-17 US8515817B2 (en) 2007-12-31 2007-12-31 Systems and methods of matching purchase requests with consummated sales

Country Status (1)

Country Link
US (2) US8515817B2 (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090187513A1 (en) * 2008-01-22 2009-07-23 Zag.Com Inc., A Delaware Corporation Systems and methods for upfront vehicle pricing
US20100070343A1 (en) * 2008-09-09 2010-03-18 TrueCar.com System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US9189800B2 (en) 2011-07-01 2015-11-17 Truecar, Inc. Method and system for selection, filtering or presentation of available sales outlets
US9767491B2 (en) 2008-09-09 2017-09-19 Truecar, Inc. System and method for the utilization of pricing models in the aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US9811847B2 (en) 2012-12-21 2017-11-07 Truecar, Inc. System, method and computer program product for tracking and correlating online user activities with sales of physical goods
US10108989B2 (en) 2011-07-28 2018-10-23 Truecar, Inc. System and method for analysis and presentation of used vehicle pricing data
US10296929B2 (en) 2011-06-30 2019-05-21 Truecar, Inc. System, method and computer program product for geo-specific vehicle pricing
US10504159B2 (en) 2013-01-29 2019-12-10 Truecar, Inc. Wholesale/trade-in pricing system, method and computer program product therefor
US20200013075A1 (en) * 2018-07-09 2020-01-09 Truecar, Inc. System and method for correlating and enhancing data obtained from distributed sources in a network of distributed computer systems
US11443332B2 (en) 2014-12-22 2022-09-13 Superior Integrated Solutions Llc System, method, and software for predicting the likelihood of selling automotive commodities

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090259565A1 (en) * 2008-04-02 2009-10-15 Yossef Avisror System and method for providing moving and transport service leads
US20110161206A1 (en) * 2009-12-30 2011-06-30 Honda Motor Co., Ltd. System and method for collection of data related to the sale of a vehicle
WO2011088475A2 (en) * 2010-01-15 2011-07-21 Vercai, Inc. A system and method for facilitating an invitation to a private retail sale event
US20120179476A1 (en) * 2011-01-12 2012-07-12 Michael Muncy Method and system of remuneration for providing successful sales leads
US9141984B2 (en) 2011-07-05 2015-09-22 Sidekick Technology LLC Automobile transaction facilitation using a manufacturer response
US8650093B2 (en) 2011-07-05 2014-02-11 Sidekick Technology LLC Used automobile transaction facilitation for a specific used automobile
US8744925B2 (en) 2011-07-05 2014-06-03 Sidekick Technology Inc. Automobile transaction facilitation based on customer selection of a specific automobile
US20140278772A1 (en) * 2013-03-18 2014-09-18 P. Virenderanath Choudary Live buyer database constructor
US10296627B2 (en) 2015-08-18 2019-05-21 Fiserv, Inc. Generating integrated data records by correlating source data records from disparate data sources
US10607252B2 (en) 2016-08-29 2020-03-31 Metadata, Inc. Methods and systems for targeted B2B advertising campaigns generation using an AI recommendation engine
US9665885B1 (en) * 2016-08-29 2017-05-30 Metadata, Inc. Methods and systems for targeted demand generation based on ideal customer profiles
WO2018213201A1 (en) 2017-05-15 2018-11-22 Wippy, LLC Systems, methods, and devices for dynamic used vehicle marketing, dealer matching, and extended sale period transactions platform
GB2575432A (en) * 2018-06-22 2020-01-15 Sopost Ltd Product distribution decision

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6029141A (en) * 1997-06-27 2000-02-22 Amazon.Com, Inc. Internet-based customer referral system
US20010037265A1 (en) * 2000-03-14 2001-11-01 Kleinberg Hershel Alan Method and apparatus for on-line retailing of insurance goods and services
US7392224B1 (en) * 1999-04-23 2008-06-24 Jpmorgan Chase Bank, N.A. System and method of operating a debit card reward program
US20080288361A1 (en) * 2007-05-17 2008-11-20 Geoffrey Rego System and method for lead generation and lead demand fulfillment
US8429220B2 (en) * 2007-03-29 2013-04-23 International Business Machines Corporation Data exchange among data sources

Family Cites Families (70)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0567119A (en) * 1991-07-12 1993-03-19 Hitachi Ltd Merchandise analyzing system
US7133835B1 (en) * 1995-08-08 2006-11-07 Cxn, Inc. Online exchange market system with a buyer auction and a seller auction
US6282517B1 (en) * 1999-01-14 2001-08-28 Autobytel.Com, Inc. Real time communication of purchase requests
US6892185B1 (en) * 1999-07-07 2005-05-10 E-Plus Capital, Inc. Information translation communication protocol
US6609108B1 (en) * 1999-11-05 2003-08-19 Ford Motor Company Communication schema of online system and method of ordering consumer product having specific configurations
AU4707101A (en) 1999-11-11 2001-06-12 Gorefer Com, Inc. Method and system for online third party referral system customized to the purchaser's needs
US20010037205A1 (en) * 2000-01-29 2001-11-01 Joao Raymond Anthony Apparatus and method for effectuating an affiliated marketing relationship
US7562042B2 (en) * 2000-04-07 2009-07-14 Massachusetts Institute Of Technology Data processor for implementing forecasting algorithms
AU2001261754A1 (en) * 2000-05-19 2001-12-03 Manugistic Atlanta, Inc. Dynamic pricing system
KR100832604B1 (en) * 2000-05-30 2008-05-27 시스테무.로케이션 가부시키가이샤 Vehicle resale price analysis system
JP2002055997A (en) 2000-08-08 2002-02-20 Tsubasa System Co Ltd Device and method for retrieving used-car information
US20050261951A1 (en) * 2000-09-08 2005-11-24 Tighe Christopher P Method and apparatus for processing marketing information
US10013695B2 (en) * 2001-01-27 2018-07-03 Rakuten Marketing Llc Methods, apparatus and articles-of-manufacture for secondary referral tracking on a public-access computer network
US6882983B2 (en) * 2001-02-05 2005-04-19 Notiva Corporation Method and system for processing transactions
US20020147625A1 (en) * 2001-02-15 2002-10-10 Kolke Daniel Arthur Method and system for managing business referrals
US7113090B1 (en) * 2001-04-24 2006-09-26 Alarm.Com Incorporated System and method for connecting security systems to a wireless device
GB0110249D0 (en) * 2001-04-26 2001-06-20 Barings Ltd Ing Method of and apparatus for automatically pricing a commodity
US20020194051A1 (en) * 2001-05-31 2002-12-19 Hall Stephen A. Data distribution method and sytem
US7085734B2 (en) * 2001-07-06 2006-08-01 Grant D Graeme Price decision support
JP2003173405A (en) 2001-09-28 2003-06-20 Mazda Motor Corp System, program and method for supporting car sales
US7493274B2 (en) * 2001-10-31 2009-02-17 Amazon.Com, Inc. Marketplace system in which users generate and browse user-to-user preorder listings via a definitive products catalog
US7257391B2 (en) * 2002-03-26 2007-08-14 Zoove Corp. Wireless data system
US20030200151A1 (en) * 2002-04-22 2003-10-23 John Ellenson System and method for facilitating the real-time pricing, sale and appraisal of used vehicles
US20030229577A1 (en) * 2002-06-10 2003-12-11 Nabel Jeffrey Albert System and method for brokering and managing automobile sales leads
US20040019516A1 (en) * 2002-07-24 2004-01-29 Puskorius Gintaras Vincent Method for calculating the probability that an automobile will be sold by a future date
US7050982B2 (en) * 2002-08-14 2006-05-23 Veretech, Llc Lead generation system using buyer criteria
KR20040019896A (en) * 2002-09-02 2004-03-06 마츠다 가부시키가이샤 Server, system, method and program for sales supporting
US7921052B2 (en) * 2002-12-31 2011-04-05 Autotrader.Com, Inc. Efficient online auction style listings that encourage out-of-channel negotiation
US7599842B2 (en) * 2003-01-16 2009-10-06 Genworth Financial, Inc. Systems and methods for assignment of sales leads
US20040143476A1 (en) * 2003-01-16 2004-07-22 Viren Kapadia Systems and methods for providing sales lead information to agents
US7546243B2 (en) * 2003-01-16 2009-06-09 Genworth Financial, Inc. Systems and methods for distribution of sales leads
US7596501B2 (en) * 2003-01-16 2009-09-29 Genworth Financial, Inc. Systems and methods for validation of sales leads
TW200422889A (en) * 2003-04-18 2004-11-01 Hon Hai Prec Ind Co Ltd Quotation analysis system and method
US7539621B2 (en) * 2003-08-22 2009-05-26 Honda Motor Co., Ltd. Systems and methods of distributing centrally received leads
WO2005031525A2 (en) * 2003-09-25 2005-04-07 Alibris, Inc. E-commerce repricing system
US7596512B1 (en) * 2003-11-26 2009-09-29 Carfax, Inc. System and method for determining vehicle price adjustment values
US20050125308A1 (en) * 2003-12-08 2005-06-09 Pricester.Com, Inc. Automatic template-based e-commerce system and method of implementing the e-commerce system
US7974851B2 (en) * 2004-03-08 2011-07-05 Sap Aktiengesellschaft Method and system for price planning
US20050209934A1 (en) * 2004-03-17 2005-09-22 Sean Irby System, apparatus and process to provide, replenish, monitor, and invoice consignment inventory with retail customers
US8000989B1 (en) * 2004-03-31 2011-08-16 Avaya Inc. Using true value in routing work items to resources
US20050256780A1 (en) * 2004-05-14 2005-11-17 Wired Logic, Inc. Electronically implemented vehicle marketing services
US20050267774A1 (en) * 2004-06-01 2005-12-01 David Merritt Method and apparatus for obtaining and using vehicle sales price data in performing vehicle valuations
US20060080210A1 (en) * 2004-09-23 2006-04-13 Pricegrabber.Com, Inc. System and network for obtaining competitive quotes on user-configured articles
US20060065532A1 (en) * 2004-09-30 2006-03-30 Matthias Stiene Microfluidic analytical system with accessible electrically conductive contact pads
US20060085209A1 (en) * 2004-10-19 2006-04-20 Walker Joseph S Iii Establishment of vehicle item categories
US20060085283A1 (en) * 2004-10-19 2006-04-20 William Griffiths System and method for linking automobile buyers and sellers
US20060106668A1 (en) * 2004-11-12 2006-05-18 Kim John S Method for creating an on-line leads marketplace
US20060212355A1 (en) * 2005-01-27 2006-09-21 Brian Teague Social information and promotional offer management and distribution systems and methods
US20070038522A1 (en) * 2005-08-09 2007-02-15 Capital One Financial Corporation Auto buying system and method
US7801798B1 (en) * 2005-08-09 2010-09-21 SignalDemand, Inc. Commodity contract bid evaluation system
US20070112582A1 (en) * 2005-11-15 2007-05-17 Sean Fenlon Method for value-added reselling of marketing leads from multiple lead sources
US7747474B2 (en) * 2005-12-13 2010-06-29 Equatrax Shared royalty platform for content royalty management
US20070219851A1 (en) * 2006-03-03 2007-09-20 Christopher Taddei Apparatus and method for generating and developing a sales lead
US8095422B2 (en) * 2006-03-10 2012-01-10 Openlane, Inc. Systems and methods for vehicle information management
US20070244797A1 (en) * 2006-03-22 2007-10-18 Hinson W Bryant Computer network-implemented system and method for vehicle transactions
US7818201B2 (en) * 2006-03-31 2010-10-19 Vology, Inc. Lead referral system
US20070250327A1 (en) * 2006-04-24 2007-10-25 Shad Hedy System and method for used vehicle valuation based on actual transaction data provided by industry participants
US20080177590A1 (en) * 2006-09-22 2008-07-24 Getautoappraise, Llc Vehicle-Lead Generating Systems
WO2008086444A1 (en) * 2007-01-09 2008-07-17 Autobytel Inc. Systems and methods relating to a lead distribution engine that accommodates internal and imported destination relationships
WO2008086451A1 (en) * 2007-01-09 2008-07-17 Autobytel Inc. Systems and methods relating to a lead distribution engine that uses margin scores
US8160909B2 (en) * 2007-02-06 2012-04-17 Digital River, Inc. Site optimizer
US20080201163A1 (en) * 2007-02-20 2008-08-21 Jolyon Barker Vehicle-Value Analyzing and Messaging Systems
US20090006118A1 (en) * 2007-03-16 2009-01-01 Dale Pollak System and method for providing competitive pricing for automobiles
US8078515B2 (en) * 2007-05-04 2011-12-13 Michael Sasha John Systems and methods for facilitating electronic transactions and deterring fraud
US20080300962A1 (en) * 2007-05-31 2008-12-04 Christopher Robert Cawston Lead distribution and tracking with integrated corporate data usage and reporting capabilities
US20090048859A1 (en) * 2007-06-08 2009-02-19 Mccarthy Daniel Randal Systems and methods for sales lead ranking based on assessment of internet behavior
US20100153235A1 (en) * 2007-06-30 2010-06-17 Responselogix, Inc. Alternative selections for compound price quoting
CA2638457A1 (en) * 2007-08-03 2009-02-03 Sales Spider Inc. Systems and methods for generating sales leads data
US20090187513A1 (en) * 2008-01-22 2009-07-23 Zag.Com Inc., A Delaware Corporation Systems and methods for upfront vehicle pricing
CN102203772A (en) * 2008-09-09 2011-09-28 真车股份有限公司 System and method for calculating and displaying price distributions based on analysis of transactions

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6029141A (en) * 1997-06-27 2000-02-22 Amazon.Com, Inc. Internet-based customer referral system
US7392224B1 (en) * 1999-04-23 2008-06-24 Jpmorgan Chase Bank, N.A. System and method of operating a debit card reward program
US20010037265A1 (en) * 2000-03-14 2001-11-01 Kleinberg Hershel Alan Method and apparatus for on-line retailing of insurance goods and services
US8429220B2 (en) * 2007-03-29 2013-04-23 International Business Machines Corporation Data exchange among data sources
US20080288361A1 (en) * 2007-05-17 2008-11-20 Geoffrey Rego System and method for lead generation and lead demand fulfillment

Cited By (46)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090187513A1 (en) * 2008-01-22 2009-07-23 Zag.Com Inc., A Delaware Corporation Systems and methods for upfront vehicle pricing
US10269030B2 (en) 2008-09-09 2019-04-23 Truecar, Inc. System and method for calculating and displaying price distributions based on analysis of transactions
US11182812B2 (en) 2008-09-09 2021-11-23 Truecar, Inc. System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US9020844B2 (en) 2008-09-09 2015-04-28 Truecar, Inc. System and method for calculating and displaying price distributions based on analysis of transactions
US10269031B2 (en) 2008-09-09 2019-04-23 Truecar, Inc. System and method for sales generation in conjunction with a vehicle data system
US9111308B2 (en) 2008-09-09 2015-08-18 Truecar, Inc. System and method for calculating and displaying price distributions based on analysis of transactions
US9129325B2 (en) 2008-09-09 2015-09-08 Truecar, Inc. System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US11244334B2 (en) 2008-09-09 2022-02-08 Truecar, Inc. System and method for calculating and displaying price distributions based on analysis of transactions
US9727904B2 (en) 2008-09-09 2017-08-08 Truecar, Inc. System and method for sales generation in conjunction with a vehicle data system
US9754304B2 (en) 2008-09-09 2017-09-05 Truecar, Inc. System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US9767491B2 (en) 2008-09-09 2017-09-19 Truecar, Inc. System and method for the utilization of pricing models in the aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US20100070343A1 (en) * 2008-09-09 2010-03-18 TrueCar.com System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US9818140B2 (en) 2008-09-09 2017-11-14 Truecar, Inc. System and method for sales generation in conjunction with a vehicle data system
US9904933B2 (en) 2008-09-09 2018-02-27 Truecar, Inc. System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US9904948B2 (en) 2008-09-09 2018-02-27 Truecar, Inc. System and method for calculating and displaying price distributions based on analysis of transactions
US11107134B2 (en) 2008-09-09 2021-08-31 Truecar, Inc. System and method for the utilization of pricing models in the aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US10217123B2 (en) 2008-09-09 2019-02-26 Truecar, Inc. System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US10262344B2 (en) 2008-09-09 2019-04-16 Truecar, Inc. System and method for the utilization of pricing models in the aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US11250453B2 (en) 2008-09-09 2022-02-15 Truecar, Inc. System and method for sales generation in conjunction with a vehicle data system
US9020843B2 (en) 2008-09-09 2015-04-28 Truecar, Inc. System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US20100070344A1 (en) * 2008-09-09 2010-03-18 TrueCar.com System and method for calculating and displaying price distributions based on analysis of transactions
US11580567B2 (en) 2008-09-09 2023-02-14 Truecar, Inc. System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US10853831B2 (en) 2008-09-09 2020-12-01 Truecar, Inc. System and method for sales generation in conjunction with a vehicle data system
US10489810B2 (en) 2008-09-09 2019-11-26 Truecar, Inc. System and method for calculating and displaying price distributions based on analysis of transactions
US10489809B2 (en) 2008-09-09 2019-11-26 Truecar, Inc. System and method for sales generation in conjunction with a vehicle data system
US11580579B2 (en) 2008-09-09 2023-02-14 Truecar, Inc. System and method for the utilization of pricing models in the aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US10515382B2 (en) 2008-09-09 2019-12-24 Truecar, Inc. System and method for aggregation, enhancing, analysis or presentation of data for vehicles or other commodities
US10846722B2 (en) 2008-09-09 2020-11-24 Truecar, Inc. System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US10679263B2 (en) 2008-09-09 2020-06-09 Truecar, Inc. System and method for the utilization of pricing models in the aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
US10810609B2 (en) 2008-09-09 2020-10-20 Truecar, Inc. System and method for calculating and displaying price distributions based on analysis of transactions
US10740776B2 (en) 2011-06-30 2020-08-11 Truecar, Inc. System, method and computer program product for geo-specific vehicle pricing
US11532001B2 (en) 2011-06-30 2022-12-20 Truecar, Inc. System, method and computer program product for geo specific vehicle pricing
US10296929B2 (en) 2011-06-30 2019-05-21 Truecar, Inc. System, method and computer program product for geo-specific vehicle pricing
US10467676B2 (en) 2011-07-01 2019-11-05 Truecar, Inc. Method and system for selection, filtering or presentation of available sales outlets
US9189800B2 (en) 2011-07-01 2015-11-17 Truecar, Inc. Method and system for selection, filtering or presentation of available sales outlets
US10733639B2 (en) 2011-07-28 2020-08-04 Truecar, Inc. System and method for analysis and presentation of used vehicle pricing data
US10108989B2 (en) 2011-07-28 2018-10-23 Truecar, Inc. System and method for analysis and presentation of used vehicle pricing data
US11392999B2 (en) 2011-07-28 2022-07-19 Truecar, Inc. System and method for analysis and presentation of used vehicle pricing data
US9811847B2 (en) 2012-12-21 2017-11-07 Truecar, Inc. System, method and computer program product for tracking and correlating online user activities with sales of physical goods
US11132724B2 (en) 2012-12-21 2021-09-28 Truecar, Inc. System, method and computer program product for tracking and correlating online user activities with sales of physical goods
US10482510B2 (en) 2012-12-21 2019-11-19 Truecar, Inc. System, method and computer program product for tracking and correlating online user activities with sales of physical goods
US11741512B2 (en) 2012-12-21 2023-08-29 Truecar, Inc. System, method and computer program product for tracking and correlating online user activities with sales of physical goods
US10504159B2 (en) 2013-01-29 2019-12-10 Truecar, Inc. Wholesale/trade-in pricing system, method and computer program product therefor
US11443332B2 (en) 2014-12-22 2022-09-13 Superior Integrated Solutions Llc System, method, and software for predicting the likelihood of selling automotive commodities
US20200013075A1 (en) * 2018-07-09 2020-01-09 Truecar, Inc. System and method for correlating and enhancing data obtained from distributed sources in a network of distributed computer systems
US11593818B2 (en) * 2018-07-09 2023-02-28 Truecar, Inc. System and method for correlating and enhancing data obtained from distributed sources in a network of distributed computer systems

Also Published As

Publication number Publication date
US20090171761A1 (en) 2009-07-02
US8515817B2 (en) 2013-08-20

Similar Documents

Publication Publication Date Title
US8515817B2 (en) Systems and methods of matching purchase requests with consummated sales
Rao et al. Return time leniency in online retail: a signaling theory perspective on buying outcomes
Cooil et al. A longitudinal analysis of customer satisfaction and share of wallet: Investigating the moderating effect of customer characteristics
US20070233559A1 (en) Acquiring Leads Using Scoring
US8224715B2 (en) Computer-based analysis of affiliate site performance
US8046269B2 (en) Auction based procurement system
US20070233561A1 (en) Automated Lead Scoring
US20070100728A1 (en) Methods and systems for providing transaction data
US20010020231A1 (en) Marketing System and Method
US20020133365A1 (en) System and method for aggregating reputational information
US20010027413A1 (en) System, software and method of evaluating, buying and selling consumer's present and potential buying power through a clearing house
US20110082759A1 (en) System and method for the analysis of pricing data including dealer costs for vehicles and other commodities
EP1977384A2 (en) System and method for operating a marketplace for internet ad media and for delivering ads according to trades made in that marketplace
US20090006159A1 (en) Systems and methods for managing communications with internet sales leads
WO2007112411A2 (en) Automated lead scoring
US20140188660A1 (en) Method and apparatus for conveying the right to broker real property transfers
US20070233560A1 (en) Secondary Marketplace For Leads
US20060271474A1 (en) System and method for enhancing real estate transactions
Afonso The impact of the amazon tax on local sales tax revenue in urban and rural jurisdictions
US20200320584A1 (en) Automatic depreciation calculator
CN112258130A (en) Electronic commerce operation system
US11900404B2 (en) Guaranteed offer generator
US20050177468A1 (en) Request for quote system and method
TWI453688B (en) A system to avoid duplicated accounts receivable (a/r) assignments and/or advancements
Steckbeck et al. Turning lemons into lemonade: entrepreneurial solutions to adverse selection problems in e-commerce

Legal Events

Date Code Title Description
AS Assignment

Owner name: ZAG.COM, INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:NOY, ODED;MCBRIDE, JASON;BERGER, JAMES;AND OTHERS;SIGNING DATES FROM 20080612 TO 20080617;REEL/FRAME:031262/0506

AS Assignment

Owner name: TRUECAR, INC., CALIFORNIA

Free format text: CHANGE OF NAME;ASSIGNOR:ZAG.COM, INC.;REEL/FRAME:031293/0419

Effective date: 20101123

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION