A method and system for optimizing customer lead generation across the entire industry chain in the B2B sector.

Abstract

This application discloses a method and system for optimizing customer lead generation across the entire industry chain in the B2B sector, belonging to the field of artificial intelligence. The method includes: collecting a preliminary set of marketing leads through enterprise operation processing; obtaining a preliminary set of lead element information after classification and processing; generating a set of lead dimension information based on enterprise lead tag information; evaluating and classifying the preliminary lead element information set according to the lead dimension information set to obtain a set of enterprise marketing leads; integrating the enterprise marketing leads information set to construct an enterprise marketing leads database; and inputting target business leads into the enterprise marketing leads database for traversal and matching to obtain a set of target marketing customers. This application solves the technical problems of existing technologies, such as the inability to accurately acquire marketing customers and low marketing conversion rates. It achieves the technical effect of improving the accuracy of marketing lead analysis and thus accurately acquiring target marketing customers.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence, and in particular to a method and system for optimizing customer lead generation across the entire industry chain for the B2B sector. Background Technology

[0002] With globalization, the convergence of science and technology and information technology, and the increasing rights of customers, the environment in which businesses operate is undergoing dramatic changes, and the focus, emphasis, and scope of marketing are also constantly evolving.

[0003] Currently, businesses need to proactively respond to customer needs, updating and iterating their products to continuously improve quality. Simultaneously, they should create customer profiles based on the characteristics of their own products, and then target marketing to customers who match those profiles, thereby increasing marketing conversion rates.

[0004] However, due to the abundance of fragmented information on the internet, for businesses, simply analyzing products to determine their positioning and then acquiring customers based on that positioning is inefficient and extremely costly. Sometimes, incorrect customer data leads to inaccurate subsequent analysis and positioning, resulting in marketing efforts failing to meet expectations. Existing technologies suffer from the inability to accurately identify marketing customers, leading to low marketing conversion rates. Summary of the Invention

[0005] The purpose of this application is to provide a method and system for optimizing customer acquisition across the entire industry chain in the B2B sector, in order to solve the technical problems of existing technologies, such as the inability to accurately acquire marketing customers and low marketing conversion rates.

[0006] In view of the above problems, this application provides a method and system for optimizing customer lead generation across the entire industry chain in the B2B sector.

[0007] Firstly, this application provides a method for optimizing customer lead generation across the entire industry chain for the B2B sector. The method includes: collecting a set of initial marketing leads through enterprise operation processing; classifying the initial marketing leads to obtain a set of initial lead element information; generating a set of lead dimension information based on enterprise lead tag information; evaluating and classifying the initial lead element information set according to the lead dimension information set to obtain a set of enterprise marketing leads; integrating the enterprise marketing leads to construct an enterprise marketing leads database; obtaining target business leads based on business objective information; and inputting the target business leads into the enterprise marketing leads database for traversal and matching to obtain a set of target marketing customers for the enterprise.

[0008] On the other hand, this application also provides a full-chain customer lead generation optimization system for the ToB industry, wherein the system includes: an information set acquisition module, which is used to collect and acquire a preliminary marketing lead information set of an enterprise through enterprise operation processing; a lead element acquisition module, which is used to classify and process the preliminary marketing lead information set of an enterprise to obtain a preliminary lead element information set; a lead dimension information generation module, which is used to generate a lead dimension information set based on enterprise lead tag information; a lead element evaluation and classification module, which is used to evaluate and classify the preliminary lead element information set according to the lead dimension information set to obtain an enterprise marketing lead information set; a lead database construction module, which is used to integrate the enterprise marketing lead information set to construct an enterprise marketing lead database; a business lead acquisition module, which is used to obtain target business leads based on business target information; and a marketing customer acquisition module, which is used to input the target business leads into the enterprise marketing lead database for traversal and matching to obtain a set of enterprise target marketing customers.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] This application acquires initial marketing leads based on the enterprise's operational processing methods, resulting in an initial marketing lead information set. This set is then categorized to obtain an initial lead element information set. Furthermore, based on lead tag information, a lead dimension information set is generated. By evaluating and classifying the initial lead element information set according to the lead dimension information set, an enterprise marketing lead information set is obtained. This set is then integrated to construct an enterprise marketing lead database. Finally, based on business objective information, target business leads are obtained. By inputting these target business leads into the enterprise marketing lead database and performing a traversal and matching process, a set of target marketing customers is obtained. This achieves the technical effect of improving the accuracy of lead generation marketing and increasing marketing efficiency. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0012] Figure 1A flowchart illustrating a method for optimizing customer lead generation across the entire industry chain in the ToB sector, provided as an embodiment of this application;

[0013] Figure 2 A flowchart illustrating the process of obtaining a preliminary set of lead element information in a ToB industry full-chain customer lead optimization method provided in this application embodiment;

[0014] Figure 3 A flowchart illustrating the process of obtaining a set of enterprise marketing lead information in a full-chain customer lead generation optimization method for the ToB industry provided in this application embodiment;

[0015] Figure 4 This is a schematic diagram of the structure of a full-chain customer lead generation optimization system for the ToB industry, as described in this application.

[0016] Explanation of reference numerals in the attached diagram: 11 Information set acquisition module, 12 Lead element acquisition module, 13 Lead dimension information generation module, 14 Lead element evaluation and classification module, 15 Lead database construction module, 16 Business lead acquisition module, 17 Marketing customer acquisition module. Detailed Implementation

[0017] This application provides a method and system for optimizing customer lead generation across the entire B2B industry chain, solving the technical problems of inaccurate customer acquisition and low conversion rates in existing technologies. It achieves the technical effect of improving the accuracy of marketing lead analysis and thus accurately acquiring target marketing customers.

[0018] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0019] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0020] Example 1

[0021] like Figure 1 As shown, this application provides a method for optimizing customer acquisition across the entire industry chain in the B2B sector, wherein the method includes:

[0022] Step S100: Collect and obtain a set of preliminary marketing leads through enterprise operation processing methods;

[0023] Specifically, in the process of customer acquisition, the first step is to understand the company's marketing methods and analyze its marketing leads. The company's operational methods refer to how it provides services, markets, and acquires customers, and may include, for example, big data operations, WeChat, and email. The initial marketing lead set is a collection of information summarizing the target customer information, and may include, for example, customer characteristics, customer registration information, customer domain names, and the customer's operational history. This initial marketing lead set allows for the initial establishment of a profile of the company's target customers. Thus, the goal of understanding the characteristics of the marketing target is achieved, resulting in a technical effect of improving the relevance of marketing efforts.

[0024] Step S200: Classify the preliminary marketing lead information set of the enterprise to obtain a preliminary lead element information set;

[0025] Furthermore, such as Figure 2 As shown, the step S200 of this application embodiment further includes classifying and processing the preliminary marketing lead information set to obtain a preliminary lead element information set:

[0026] Step S210: Perform data cleaning and normalization on the preliminary marketing lead information set of the enterprise to obtain a standardized preliminary marketing lead information set of the enterprise;

[0027] Step S220: Perform a completeness check on the preliminary lead information set of the standardized enterprise marketing to obtain missing enterprise lead data information that does not meet the preset data completeness.

[0028] Step S230: If the missing enterprise lead data information does not reach the preset missing degree, the format of the enterprise marketing preliminary lead information set is standardized to obtain a standard enterprise marketing preliminary lead information set;

[0029] Step S240: Classify the standard enterprise marketing preliminary lead information set according to the lead processing rules to obtain the preliminary lead element information set.

[0030] Furthermore, in obtaining the preliminary clue element information set, step S240 of this application embodiment further includes:

[0031] Step S241: Obtain the lead processing rules according to the company's marketing requirements;

[0032] Step S242: Based on the aforementioned clue processing rules, determine the key clue processing elements;

[0033] Step S243: Extract and classify the standard enterprise marketing preliminary lead information set according to the key lead processing elements to obtain preliminary lead element classification information;

[0034] Step S244: Organize the preliminary clue element classification information to obtain the preliminary clue element information set.

[0035] Specifically, by processing the initial marketing lead information set, the lead information format is standardized and the data is complete, thereby obtaining the initial lead element information set. This initial lead element information set is a collection of key information reflecting the characteristics of marketing customers extracted from the initial lead information.

[0036] Specifically, the data cleaning process involves re-examining and verifying the data in the initial marketing lead information set, removing duplicate information, and correcting errors. By removing erroneous data from the initial marketing lead information set, data consistency is improved, and information errors are reduced. The normalization process involves dimensionless processing of the numerous dimensions in the initial marketing lead information set, transforming the original data to the range [0,1] to avoid information bias due to different measurement methods, which could affect the accuracy of marketing analysis. The standardized initial marketing lead information set is the marketing information set obtained after data cleaning and normalization, eliminating external influences.

[0037] Specifically, after processing the lead information, its completeness needs to be evaluated. This is achieved by assessing the data quality within the standardized preliminary lead information set for enterprise marketing. Data completeness is determined by evaluating the recorded values ​​and unique values ​​in the data statistics. The preset data completeness level is a pre-set value that fully reflects the completeness of the enterprise lead data; it is set by staff and is not restricted here. When the data does not meet the preset data completeness level, the missing enterprise lead data is obtained. The preset missingness level is a pre-set value used to evaluate the degree of missing enterprise lead information. When the missing enterprise lead data does not reach the preset missingness level, it indicates that although the data is incomplete, it can still be used for analysis. Therefore, the lead information is standardized to obtain a standardized preliminary lead information set for enterprise marketing with a unified format.

[0038] Specifically, the process involves obtaining the company's marketing requirements and then developing lead processing rules based on those requirements. These rules serve as the basis for classifying leads, including classification criteria such as basic company / customer information, industry attributes, and business status. Based on these rules, key lead processing elements are extracted. These key elements are the primary factors for extracting and classifying marketing lead information. For example, the company's business status is used as a key lead processing element, categorized as existing, operating, revoked, cancelled, relocated, relocated out, closed, and liquidated. Based on the business status, companies in liquidation, deregistered, or revoked are screened to identify effective marketing clients.

[0039] Specifically, the preliminary lead element classification information is obtained by extracting and classifying the preliminary marketing lead information of the standard enterprise. Further classification and refinement of the leads, followed by information organization, yields the preliminary lead element information set. This preliminary lead element information set provides a systematic and comprehensive reflection of marketing information. Thus, it achieves the technical effect of organizing and summarizing lead element information, thereby improving the effectiveness of the information.

[0040] Step S300: Generate a set of lead dimension information based on the enterprise lead tag information;

[0041] Step S400: Evaluate and classify the preliminary lead element information set according to the lead dimension information set to obtain the enterprise marketing lead information set;

[0042] Furthermore, such as Figure 3 As shown, in the embodiment of this application, step S400, which involves obtaining a set of enterprise marketing lead information, further includes:

[0043] Step S410: The set of clue dimension information includes enterprise credit rating, enterprise service quality, and enterprise sales rating;

[0044] Step S420: Evaluate the preliminary clue element information set according to the clue dimension information set to obtain the preliminary clue element evaluation matrix;

[0045] Step S430: Assign weights to the indicators of each dimension in the set of clue dimension information to obtain the clue dimension weight matrix;

[0046] Step S440: Obtain the enterprise marketing evaluation information set based on the product of the preliminary clue element evaluation matrix and the clue dimension weight matrix;

[0047] Step S450: Classify the enterprise marketing evaluation information set into levels to obtain the enterprise marketing lead information set.

[0048] Furthermore, in the embodiment of this application, step S430 further includes: weighting the indicators of each dimension in the clue dimension information set to obtain the clue dimension weight matrix.

[0049] Step S431: Obtain the indicator attribute information of each dimension in the clue dimension information set;

[0050] Step S432: Perform principal component analysis on the attribute information of each dimension to obtain the dimension-reduced attribute information;

[0051] Step S433: Perform factor analysis based on the dimensionality reduction index attribute information to obtain the index weight allocation results;

[0052] Step S434: Determine the clue dimension weight matrix based on the indicator weight allocation results.

[0053] Specifically, the enterprise lead tagging information is information that identifies the characteristics of the lead. The lead dimension information set refers to the set of evaluation information used when evaluating leads, including: enterprise credit rating, enterprise service quality, and enterprise sales rating. The enterprise credit rating is obtained by a credit rating agency classifying the enterprise's creditworthiness based on its credit assessment results. The enterprise service quality is the quality status obtained after a third party evaluates the enterprise's service performance. The enterprise sales rating is the sales rating obtained after evaluating the enterprise's sales capabilities. The preliminary lead element information set is evaluated based on the lead dimension information set, with the elements in the lead evaluated from three aspects, resulting in the preliminary lead element evaluation matrix.

[0054] Specifically, the indicators of each dimension in the lead dimension information set are weighted according to their importance to obtain the lead dimension weight matrix. This lead dimension weight matrix is ​​a matrix that quantitatively assigns weights to leads. Then, by multiplying the preliminary lead element evaluation matrix and the lead dimension weight matrix, the enterprise marketing evaluation information set is obtained. This enterprise marketing evaluation information set is then graded into levels A, B, and C to obtain the enterprise marketing lead information set. Thus, the goal of evaluating the enterprise's marketing capabilities and obtaining high-quality marketing lead information is achieved.

[0055] Specifically, by acquiring attribute information under each dimension indicator, the main influencing factors of the attribute information of each dimension indicator are analyzed. Principal component analysis is then used to obtain dimensionality-reduced indicator attribute information. Here, the attribute information of each dimension indicator refers to the attributes of the evaluation parameters related to the dimension indicator. The dimensionality-reduced indicator attribute information consists of attributes with strong correlations among the attribute information of each dimension indicator. By analyzing the factors in the dimensionality-reduced indicator attribute information, common factors are extracted from the variables, thereby extracting the common features in the dimensionality-reduced indicator attributes. Based on the proportion of common features, the indicator weight allocation result is obtained, and then the clue dimension weight matrix is ​​obtained based on the indicator weight allocation result. This achieves the technical effect of dimensionality reduction analysis of indicators, improving analysis efficiency and reasonable weight allocation.

[0056] Step S500: Integrate the enterprise marketing lead information set to construct an enterprise marketing lead database;

[0057] Specifically, based on the enterprise marketing lead information set obtained through big data, and using leads as indexes, a large amount of data is acquired to construct the enterprise marketing lead database. This database is tailored to the enterprise's marketing capabilities. Therefore, through the analysis of enterprise marketing, the technical effect of improving marketing conversion rates is achieved.

[0058] Step S600: Obtain target business leads based on business objective information;

[0059] Furthermore, in the step S600 of this application embodiment, obtaining target business leads based on business target information further includes:

[0060] Step S610: Obtain marketing needs for business leads based on the business objective information;

[0061] Step S620: Extract and analyze the marketing needs of the business leads to obtain target business keywords;

[0062] Step S630: Determine the target business feature information based on the target business keywords;

[0063] Step S640: Process the clues based on the target business feature information to determine the target business clues.

[0064] Specifically, the business objective information reflects the business information that the enterprise needs to market. Based on this business objective information, corresponding business lead marketing needs can be obtained. These business lead marketing needs reflect the factors that the enterprise needs to promote when marketing its business. Furthermore, numerous business lead marketing needs are extracted and analyzed to extract keywords, thereby obtaining target business keywords that accurately reflect the business information. Based on these target business keywords, target business characteristic information reflecting the business characteristics can be obtained. Searchable lead extraction is then performed on the target business characteristic information to obtain the target business leads. Thus, the technical effect of extracting leads for business promotion is achieved, preparing for subsequent precise marketing of the business.

[0065] Step S700: Input the target business leads into the enterprise marketing lead database for traversal and matching to obtain the enterprise's target marketing customer set.

[0066] Furthermore, the step S700 in this embodiment of the application further includes: inputting the target business leads into the enterprise marketing lead database for traversal and matching to obtain the enterprise's target marketing customer set.

[0067] Step S710: Configure business lead search terms according to the target business lead;

[0068] Step S720: Based on the business lead search terms, perform a traversal search in the enterprise marketing lead database to obtain a preliminary enterprise marketing customer set;

[0069] Step S730: Based on the preliminary enterprise marketing customer set, construct an enterprise gene profile set;

[0070] Step S740: Input the target business leads and the enterprise gene profile set into the business lead recommendation model for matching, and output the enterprise target marketing customer set.

[0071] Specifically, the information in the target business leads is analyzed to obtain search terms matching the target business leads. Then, using these search terms as indexes, a search and matching process is performed in the enterprise marketing lead data to obtain the preliminary enterprise marketing customer set. This preliminary enterprise marketing customer set reflects the target customers who meet the business promotion criteria. Furthermore, based on this preliminary enterprise marketing customer set, customer characteristics can be extracted to obtain the enterprise genetic profile set. Finally, the target business leads and the enterprise genetic profile set are input into the business lead recommendation model for matching to obtain the enterprise target marketing customer set.

[0072] The business lead recommendation model is a functional model used to identify marketing customers based on business leads and enterprise profiles. The enterprise's target marketing customer set is a set of customer objects that meet the business objectives, obtained from the recommendation model. This achieves the goal of acquiring precise marketing customers, thereby improving marketing efficiency and accuracy, and ultimately enhancing marketing effectiveness and conversion rates.

[0073] In summary, the customer lead generation optimization method for the entire industry chain in the B2B sector provided in this application has the following technical effects:

[0074] 1. This application embodiment obtains enterprise marketing information based on the enterprise's operational methods, extracts preliminary marketing leads, and then classifies these leads according to lead processing rules to obtain a set of preliminary lead element information. These elements are then evaluated using lead dimension information to obtain a comprehensive and systematic set of enterprise marketing lead information. Based on this lead information, an enterprise marketing lead database is constructed. Simultaneously, based on business objective information, lead information for business promotion can be obtained. These target business leads are then input into the enterprise marketing lead database to match corresponding customers, resulting in a set of target marketing customers. This achieves the technical effect of improving marketing effectiveness and acquiring highly matched marketing customers.

[0075] 2. This application embodiment cleanses and normalizes the information data in the initial marketing lead information set of enterprises, eliminating erroneous data and dimensions in the data, thereby obtaining a standardized initial marketing lead information set. Furthermore, the completeness of the information in the standardized initial marketing lead information set is checked, identifying missing enterprise lead data information that does not meet the preset data completeness requirement. It is then determined whether the information reaches the preset missingness level. If it does not, it indicates that the information can still accurately reflect the enterprise's marketing situation. The initial marketing lead information set is then standardized in format to obtain a standard initial marketing lead information set. After classification processing, the initial lead element information set is obtained. This achieves the technical effect of processing data, improving the quality of analyzed data, and thus improving the accuracy of marketing targets.

[0076] Example 2

[0077] Based on the same inventive concept as the aforementioned embodiment of a full-chain customer lead generation optimization method for the ToB industry, such as Figure 4 As shown, this application also provides a full-chain customer lead generation optimization system for the ToB industry, wherein the system includes:

[0078] Information set acquisition module 11, the information set acquisition module 11 is used to collect and acquire the initial marketing lead information set of the enterprise through enterprise operation processing methods;

[0079] The lead element acquisition module 12 is used to classify and process the preliminary lead information set of the enterprise marketing to obtain the preliminary lead element information set.

[0080] The clue dimension information generation module 13 is used to generate a set of clue dimension information based on the enterprise clue tag information;

[0081] The lead element evaluation and division module 14 is used to evaluate and divide the preliminary lead element information set according to the lead dimension information set to obtain the enterprise marketing lead information set.

[0082] Lead database construction module 15, which is used to integrate the enterprise marketing lead information set to construct an enterprise marketing lead database;

[0083] The business lead acquisition module 16 is used to acquire target business leads based on business target information.

[0084] Marketing customer acquisition module 17 is used to input target business leads into the enterprise marketing lead database for traversal and matching to obtain a set of enterprise target marketing customers.

[0085] Furthermore, the system also includes:

[0086] The data processing unit is used to clean and normalize the enterprise marketing preliminary lead information set to obtain a standardized enterprise marketing preliminary lead information set.

[0087] The completeness check unit is used to perform a completeness check based on the standardized enterprise marketing preliminary lead information set, and to obtain missing enterprise lead data information that does not meet the preset data completeness.

[0088] A format standardization unit is used to standardize the format of the preliminary marketing lead information set of enterprises if the missing enterprise lead data information does not reach a preset missing degree, so as to obtain a standard preliminary marketing lead information set of enterprises.

[0089] A classification processing unit is used to classify the standard enterprise marketing preliminary lead information set according to the lead processing rules to obtain the preliminary lead element information set.

[0090] Furthermore, the system also includes:

[0091] A processing rule acquisition unit is used to obtain the lead processing rules according to the enterprise's marketing requirements;

[0092] A processing requirement determination unit is used to determine key clue processing elements based on the clue processing rules.

[0093] An extraction and classification unit is used to extract and classify the standard enterprise marketing preliminary lead information set according to the key lead processing elements to obtain preliminary lead element classification information.

[0094] An information sorting unit is used to sort out the classification information of the preliminary clue elements to obtain a set of preliminary clue element information.

[0095] Furthermore, the system also includes:

[0096] A setting unit is used to set the clue dimension information set to include enterprise credit rating, enterprise service quality, and enterprise sales level.

[0097] An evaluation matrix obtaining unit is used to evaluate the preliminary clue element information set according to the clue dimension information set to obtain a preliminary clue element evaluation matrix.

[0098] A weight allocation unit is used to allocate weights to each dimension indicator in the clue dimension information set to obtain a clue dimension weight matrix.

[0099] An evaluation information acquisition unit is used to obtain a set of enterprise marketing evaluation information based on the product of the preliminary clue element evaluation matrix and the clue dimension weight matrix.

[0100] A grading unit is used to gradate the enterprise marketing evaluation information set to obtain the enterprise marketing lead information set.

[0101] Furthermore, the system also includes:

[0102] An indicator attribute acquisition unit is used to acquire indicator attribute information for each dimension in the clue dimension information set.

[0103] Principal component analysis unit, which is used to perform principal component analysis on the indicator attribute information of each dimension to obtain dimensionality-reduced indicator attribute information;

[0104] A factor analysis unit is used to perform factor analysis based on the dimensionality reduction index attribute information to obtain the index weight allocation result.

[0105] The weight matrix obtaining unit is used to determine the clue dimension weight matrix based on the indicator weight allocation result.

[0106] Furthermore, the system also includes:

[0107] A marketing demand acquisition unit is used to acquire marketing demand for business leads based on the business objective information.

[0108] A business keyword acquisition unit is used to extract and analyze the marketing needs of the business leads to obtain target business keywords.

[0109] A business feature determination unit is used to determine target business feature information based on the target business keywords;

[0110] A clue processing unit is used to process clues based on the target business feature information to determine the target business clues.

[0111] Furthermore, the system also includes:

[0112] A lead search term configuration unit, which is used to configure business lead search terms according to the target business lead;

[0113] A traversal search unit is used to perform a traversal search in the enterprise marketing lead database based on the business lead search terms to obtain a preliminary enterprise marketing customer set.

[0114] The enterprise profile building unit is used to build an enterprise gene profile set based on the preliminary enterprise marketing customer set.

[0115] The enterprise matching unit is used to input the target business leads and the enterprise gene profile set into the business lead recommendation model for matching, and output the enterprise target marketing customer set.

[0116] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1The method and specific example for optimizing customer lead generation across the entire supply chain for the ToB industry in Embodiment 1 are also applicable to the customer lead generation optimization system for the entire supply chain for the ToB industry in this embodiment. Through the foregoing detailed description of the method for optimizing customer lead generation across the entire supply chain for the ToB industry, those skilled in the art can clearly understand the customer lead generation optimization system for the entire supply chain for the ToB industry in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here. As for the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant details can be found in the method section.

[0117] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A ToB industry-oriented full-industry-chain customer diversion optimization method, characterized in that, The method includes: We collect and gather a set of initial marketing leads from businesses through their operational processes. The initial marketing lead information set of the enterprise is classified and processed to obtain the initial lead element information set; Generate a set of lead dimension information based on the enterprise lead tag information; The preliminary clue element information set is evaluated and divided according to the clue dimension information set to obtain the enterprise marketing clue information set; Based on the aforementioned collection of enterprise marketing lead information, an enterprise marketing lead database is constructed. Based on business objective information, obtain target business leads; The target business leads are input into the enterprise marketing lead database for traversal and matching to obtain the enterprise's target marketing customer set; The aforementioned collection of enterprise marketing lead information includes: The set of clue dimensions includes enterprise credit rating, enterprise service quality, and enterprise sales rating; The preliminary clue element information set is evaluated according to the aforementioned clue dimension information set to obtain a preliminary clue element evaluation matrix; Weights are assigned to the indicators of each dimension in the set of clue dimension information to obtain the clue dimension weight matrix; The enterprise marketing evaluation information set is obtained by multiplying the preliminary clue element evaluation matrix and the clue dimension weight matrix. The enterprise marketing evaluation information set is classified into levels to obtain the enterprise marketing lead information set; The step of assigning weights to the indicators of each dimension in the clue dimension information set to obtain a clue dimension weight matrix includes: Obtain the indicator attribute information of each dimension in the set of clue dimension information; Principal component analysis was performed on the attribute information of each dimension to obtain the dimension-reduced attribute information. Factor analysis is performed based on the reduced-dimensionality index attribute information to obtain the index weight allocation results. Based on the weight allocation results of the indicators, the weight matrix of the clue dimension is determined.

2. The method as described in claim 1, characterized in that, The process of classifying the initial marketing lead information set of the enterprise to obtain the initial lead element information set includes: The aforementioned set of preliminary marketing leads for enterprises is cleaned and normalized to obtain a standardized set of preliminary marketing leads for enterprises. Based on the aforementioned standardized enterprise marketing preliminary lead information set, a completeness check is performed to obtain missing enterprise lead data information that does not meet the preset data completeness requirement; If the missing enterprise lead data information does not reach the preset missing degree, the format of the enterprise marketing preliminary lead information set is standardized to obtain a standard enterprise marketing preliminary lead information set; The standard enterprise marketing preliminary lead information set is classified and processed according to the lead processing rules to obtain the preliminary lead element information set.

3. The method as described in claim 2, characterized in that, The process of obtaining the preliminary clue element information set includes: Based on the company's marketing requirements, obtain the aforementioned lead processing rules; Based on the aforementioned clue processing rules, key clue processing elements are determined; The standard enterprise marketing preliminary lead information set is extracted and classified according to the key lead processing elements to obtain preliminary lead element classification information. The preliminary clue element classification information is sorted out to obtain the preliminary clue element information set.

4. The method as described in claim 1, characterized in that, The step of obtaining target business leads based on business objective information includes: Based on the aforementioned business objective information, obtain the marketing needs for business leads; The marketing needs of the business leads are extracted and analyzed to obtain target business keywords; Based on the target business keywords, determine the target business characteristic information; Based on the target business characteristic information, the clues are processed to determine the target business clues.

5. The method as described in claim 1, characterized in that, The step of inputting target business leads into the enterprise marketing lead database for traversal and matching to obtain the enterprise's target marketing customer set includes: Configure the search terms for the target business leads; Based on the business lead search terms, a preliminary set of enterprise marketing customers is obtained by traversing and searching the enterprise marketing lead database. Based on the initial set of enterprise marketing customers, construct a set of enterprise gene profiles; The target business leads and the enterprise gene profile set are input into the business lead recommendation model for matching, and the enterprise's target marketing customer set is output.

6. A full-chain customer lead generation optimization system for the B2B industry, characterized in that, The system is used to execute the full-chain customer lead generation optimization method for the ToB industry as described in any one of claims 1 to 5, the system comprising: An information set acquisition module is used to collect and acquire a set of preliminary marketing leads from the enterprise through enterprise operation processing methods. The lead element acquisition module is used to classify and process the preliminary lead information set of the enterprise marketing to obtain a preliminary lead element information set. The lead dimension information generation module is used to generate a set of lead dimension information based on the enterprise lead tag information; The lead element evaluation and classification module is used to evaluate and classify the preliminary lead element information set according to the lead dimension information set to obtain the enterprise marketing lead information set. A lead database construction module is used to integrate the enterprise marketing lead information set to construct an enterprise marketing lead database; A business lead acquisition module, which is used to acquire target business leads based on business target information; The marketing customer acquisition module is used to input target business leads into the enterprise's marketing lead database for traversal and matching to obtain a set of target marketing customers for the enterprise.

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