Marketing data processing method and device
By normalizing marketing data and evaluating customer level, the approval priority is determined, and the problem of lagging marketing data approval is solved, and more efficient data processing and approval processes are achieved.
Patent Information
- Application Number
- CN202210115830.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-02-07
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2042-02-07
AI Technical Summary
In marketing data management, many important marketing data cannot be approved in a timely manner, resulting in lagging processing and potential marketing losses.
By obtaining marketing data, including marketing amount data, marketing target position categories and marketing estimated transaction time, normalizing data types, determining marketing customer levels, and determining approval priorities based on the level.
Through marketing customer level, important marketing data has higher approval priorities, ensuring that the approver can promptly approve important marketing data, and improving the timeliness and efficiency of data processing.
Smart Images

Figure CN114462971B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of data technology, and in particular to a marketing data processing method and device. Background Art
[0002] With the development of marketing business, there is more and more marketing data, and the processing of marketing data is becoming more and more important. Marketing data management mainly includes marketing data approval. When there is a lot of marketing data that needs to be approved, many important marketing data cannot be approved in time. Summary of the invention
[0003] In view of the problems in the prior art, an embodiment of the present invention provides a marketing data processing method and device, which can at least partially solve the problems in the prior art.
[0004] In one aspect, the present invention provides a marketing data processing method, comprising:
[0005] Obtaining marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0006] The marketing amount data, the marketing target position category and the marketing estimated transaction time are respectively subjected to data type normalization processing to obtain a data processing result with a unified dimension;
[0007] The marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level.
[0008] The data type normalization processing of the marketing amount data, the marketing target position category and the marketing estimated transaction time respectively includes:
[0009] According to the preset marketing amount data interval where the marketing amount data is located, determining a preset marketing amount data score corresponding to the preset marketing amount data interval;
[0010] Determine a preset marketing target position category corresponding to the marketing target position category, and determine a preset marketing target position category score corresponding to the preset marketing target position category;
[0011] Calculate the difference between the marketing expected transaction time and the current time, determine a preset marketing expected transaction time difference interval corresponding to the difference calculation result, and determine a preset marketing expected transaction time difference interval score corresponding to the preset marketing expected transaction time difference interval.
[0012] Wherein, determining the marketing customer level of the enterprise where the marketing target is employed according to the data processing result includes:
[0013] The marketing customer grade score is determined based on the preset marketing amount data score, the preset marketing target position category score and the preset marketing expected transaction time difference interval score, and the marketing customer grade is determined based on the marketing customer grade score.
[0014] Wherein, determining the approval priority for the marketing data according to the marketing customer level includes:
[0015] The marketing data is arranged in order from high to low according to the marketing customer levels, and the approval priority is determined according to the arrangement result.
[0016] Wherein, obtaining marketing data includes:
[0017] The marketing data uploaded by the target terminal is received.
[0018] Wherein, the marketing data processing method further includes:
[0019] Receiving parameters fed back after the marketing data is successfully stored on the chain; the parameters at least include a digital signature;
[0020] According to the digital signature, the marketing data is encrypted using a preset encryption algorithm to obtain a private key;
[0021] The private key is hashed to obtain a private key string, and the private key string is sent to a display page of the target terminal.
[0022] Wherein, the marketing data processing method further includes:
[0023] When the marketing data is encrypted using a preset encryption algorithm to obtain a private key, the private key is sent to an intranet mailbox of a user corresponding to the target terminal.
[0024] In one aspect, the present invention provides a marketing data processing device, comprising:
[0025] An acquisition unit, used to acquire marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0026] A processing unit, configured to perform data type normalization processing on the marketing amount data, the marketing target position category, and the marketing estimated transaction time, respectively, to obtain a data processing result with a unified dimension;
[0027] A determination unit is used to determine the marketing customer level of the enterprise where the marketing target is employed according to the data processing result, and determine the approval priority for the marketing data according to the marketing customer level.
[0028] In another aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, and a bus, wherein:
[0029] The processor and the memory communicate with each other via the bus;
[0030] The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the following method:
[0031] Obtaining marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0032] The marketing amount data, the marketing target position category and the marketing estimated transaction time are respectively subjected to data type normalization processing to obtain a data processing result with a unified dimension;
[0033] The marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level.
[0034] An embodiment of the present invention provides a non-transitory computer-readable storage medium, including:
[0035] The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to execute the following method:
[0036] Obtaining marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0037] The marketing amount data, the marketing target position category and the marketing estimated transaction time are respectively subjected to data type normalization processing to obtain a data processing result with a unified dimension;
[0038] The marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level.
[0039] The marketing data processing method and device provided in the embodiments of the present invention acquire marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time; the marketing amount data, the marketing target position category and the marketing expected transaction time are respectively subjected to data type normalization processing to obtain a data processing result of a unified dimension; the marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level, and the marketing customer level is used to make important marketing data have a higher approval priority, so that the approver can approve the important marketing data in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:
[0041] Figure 1 It is a flowchart of a marketing data processing method provided by an embodiment of the present invention.
[0042] Figure 2 It is a schematic diagram of the modular system structure of the method of the embodiment of the present invention.
[0043] Figure 3 Schematic diagram of the structure of the data classification module according to an embodiment of the present invention.
[0044] Figure 4 It is a structural diagram of a data approval module according to an embodiment of the present invention.
[0045] Figure 5 This is a structural diagram of the data chain certification module according to an embodiment of the present invention.
[0046] Figure 6 It is a schematic diagram of the structure of a marketing data processing device provided by an embodiment of the present invention.
[0047] Figure 7 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0048] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention. It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other arbitrarily.
[0049] Figure 1 FIG. 1 is a flow chart of a marketing data processing method provided by an embodiment of the present invention. Figure 1 As shown, the marketing data processing method provided by the embodiment of the present invention includes:
[0050] Step S1: Acquire marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time.
[0051] Step S2: performing data type normalization processing on the marketing amount data, the marketing target position category and the marketing estimated transaction time respectively to obtain a data processing result with a unified dimension.
[0052] Step S3: Determine the marketing customer level of the enterprise where the marketing target is employed according to the data processing result, and determine the approval priority for the marketing data according to the marketing customer level.
[0053] In the above step S1, the device obtains marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time. The device can be a computer device that executes the method, for example, it can include a server, etc. It should be noted that the acquisition and analysis of marketing data involved in the embodiment of the present invention is authorized by the user. The acquisition of marketing data includes:
[0054] The marketing data uploaded by the target terminal is received. The target terminal may include a terminal used by a user who performs marketing work. The user inputs the marketing data into the target terminal and then uploads it to the server. The marketing amount data may include the amount data of the product or service of the enterprise where the user works, and may also include customer intended amount data prepared according to customer needs, etc.
[0055] The job categories of marketing targets may include job categories of client companies, such as general manager, deputy general manager and department manager, etc.
[0056] The time granularity of the marketing estimated transaction time can be set independently, such as in days, weeks and months. Taking months as an example, the marketing estimated transaction time can be June 2022.
[0057] In the above step S2, the device performs data type normalization processing on the marketing amount data, the marketing target position category and the marketing expected transaction time respectively to obtain data processing results with unified dimensions.
[0058] The data type normalization processing is performed on the marketing amount data, the marketing target position category and the marketing estimated transaction time, respectively, including:
[0059] According to the preset marketing amount data interval where the marketing amount data is located, determine the preset marketing amount data score corresponding to the preset marketing amount data interval; the preset marketing amount data interval and the preset marketing amount data score corresponding thereto can be set independently according to actual conditions. If the marketing amount data is 200,000 yuan, the preset marketing amount data interval where it is located is 50,000 yuan to 500,000 yuan.
[0060] The larger the value of the preset marketing amount data interval, the higher the corresponding preset marketing amount data score; the smaller the value of the preset marketing amount data interval, the lower the corresponding preset marketing amount data score.
[0061] The preset marketing amount data score corresponding to the above range of 50,000 yuan to 500,000 yuan is 50 points.
[0062] Determine the preset marketing target position category corresponding to the marketing target position category, and determine the preset marketing target position category score corresponding to the preset marketing target position category; the preset marketing target position category and the preset marketing target position category score corresponding thereto can be set independently according to actual conditions. If the marketing target position category is vice president, the preset marketing target position category corresponding thereto is vice president level, and the preset marketing target position category score corresponding to the vice president level is 70 points.
[0063] The higher the preset marketing object position category, the higher the corresponding preset marketing object position category score; the lower the preset marketing object position category, the lower the corresponding preset marketing object position category score.
[0064] Calculate the difference between the marketing expected transaction time and the current time, determine the preset marketing expected transaction time difference interval corresponding to the difference calculation result, and determine the preset marketing expected transaction time difference interval score corresponding to the preset marketing expected transaction time difference interval. Referring to the above example, if the marketing expected transaction time is June 2022, the difference with the current time is 5 months, and the corresponding preset marketing expected transaction time difference interval is 3 to 6 months.
[0065] The preset marketing expected transaction time difference interval score corresponding to the above 3 to 6 month range is 30 points.
[0066] The larger the value of the preset marketing expected transaction time difference interval, the lower the corresponding preset marketing expected transaction time difference interval score will be; the smaller the value of the preset marketing expected transaction time difference interval, the higher the corresponding preset marketing expected transaction time difference interval score will be.
[0067] It can be understood that the unified dimension of the data processing results is a fractional value, which is convenient for subsequent numerical calculations.
[0068] In the above step S3, the device determines the marketing customer level of the enterprise where the marketing target is employed according to the data processing result, and determines the approval priority for the marketing data according to the marketing customer level.
[0069] Determining the marketing customer level of the enterprise where the marketing target is employed according to the data processing result includes:
[0070] The marketing customer grade score is determined based on the preset marketing amount data score, the preset marketing target position category score and the preset marketing expected transaction time difference interval score, and the marketing customer grade is determined based on the marketing customer grade score.
[0071] Marketing customer level score = preset marketing amount data score × preset marketing target position category score × preset marketing expected transaction time difference interval score.
[0072] Referring to the above example, the marketing customer level score = 50 points × 70 points × 30 points = 105000 points. The marketing customer level can be directly determined according to the marketing customer level score, for example, the marketing customer level is 105000 points.
[0073] The marketing customer level can also be divided into multiple levels, each level corresponds to a score range, the higher the level, the higher the corresponding score range value; the lower the level, the lower the corresponding score range value.
[0074] The score range of 105000 points is 100000 to 150000 points. If the marketing customer level corresponding to the score range of 100000 to 150000 points is C, then the marketing customer level corresponding to the marketing data is C.
[0075] The determining the approval priority for the marketing data according to the marketing customer level includes:
[0076] The marketing data is arranged in order from high to low according to the marketing customer level, and the approval priority is determined according to the order arrangement result. For example, if the marketing customer level score corresponding to the marketing data input by the user of another target terminal is 160,000 points, since 160,000 points is greater than the above 105,000 points, the order arrangement result is marketing data with 160,000 points and marketing data with 105,000 points, that is, the approval priority of marketing data with 160,000 points is higher than that of marketing data with 105,000 points, and the approver can give priority to approving the marketing data with 160,000 points.
[0077] Furthermore, the above-mentioned method steps S1 to S3 can be executed periodically. As the current time is constantly approaching the expected marketing transaction time, the marketing customer level will gradually increase, which will in turn increase the approval priority of the original marketing data, allowing marketing data that has been input for a long time to be approved more quickly, thereby optimizing the marketing data approval process.
[0078] The marketing data processing method provided in the embodiment of the present invention acquires marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time; the marketing amount data, the marketing target position category and the marketing expected transaction time are respectively subjected to data type normalization processing to obtain a data processing result of a unified dimension; the marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level, and the marketing customer level is used to make important marketing data have a higher approval priority, so that the approver can approve the important marketing data in a timely manner.
[0079] Furthermore, the data type normalization processing is performed on the marketing amount data, the marketing target position category and the marketing estimated transaction time, respectively, including:
[0080] According to the preset marketing amount data interval where the marketing amount data is located, a preset marketing amount data score corresponding to the preset marketing amount data interval is determined; this can be described with reference to the above embodiment and will not be repeated here.
[0081] Determine a preset marketing object position category corresponding to the marketing object position category, and determine a preset marketing object position category score corresponding to the preset marketing object position category; refer to the above-mentioned embodiment for description and no further details will be given.
[0082] The difference between the marketing expected transaction time and the current time is calculated, a preset marketing expected transaction time difference interval corresponding to the difference calculation result is determined, and a preset marketing expected transaction time difference interval score corresponding to the preset marketing expected transaction time difference interval is determined. The above-mentioned embodiment can be referred to for explanation and will not be repeated here.
[0083] The marketing data processing method provided by the embodiment of the present invention is more helpful to quantify and compare marketing customer levels, and further accurately determine important marketing data.
[0084] Furthermore, determining the marketing customer level of the enterprise where the marketing target is employed according to the data processing result includes:
[0085] The marketing customer grade score is determined according to the preset marketing amount data score, the preset marketing target position category score and the preset marketing estimated transaction time difference interval score, and the marketing customer grade is determined according to the marketing customer grade score. The above-mentioned embodiment can be referred to for explanation and will not be repeated here.
[0086] The marketing data processing method provided by the embodiment of the present invention further helps to quantify and compare marketing customer levels, thereby accurately determining important marketing data.
[0087] Further, the determining the approval priority for the marketing data according to the marketing customer level includes:
[0088] The marketing data is arranged in order from high to low according to the marketing customer level, and the approval priority is determined according to the arrangement result.
[0089] The marketing data processing method provided by the embodiment of the present invention further facilitates the approver to determine important marketing data according to the approval priority, and then approve the important marketing data in a timely manner.
[0090] Furthermore, the obtaining of marketing data includes:
[0091] Receiving the marketing data uploaded by the target terminal. Please refer to the above embodiment for description, which will not be repeated here.
[0092] The marketing data processing method provided by the embodiment of the present invention enables users to upload marketing data in a timely manner through a target terminal, which helps to obtain real-time marketing data.
[0093] Furthermore, the marketing data processing method further includes:
[0094] Receive the parameters fed back after the marketing data is successfully processed on the chain; the parameters include at least a digital signature; the marketing data can be processed on the chain through the blockchain platform, and the parameters can be fed back to the server after the successful processing of the chain. The fed back parameters may include the chain storage status code, storage ID and digital signature, etc.
[0095] The target terminal can upload marketing data to the server and the blockchain platform at the same time. After that, the server will execute the method steps to determine the approval priority based on the marketing data; the blockchain platform will execute the method steps for chain evidence processing based on the marketing data.
[0096] According to the digital signature, the marketing data is encrypted using a preset encryption algorithm to obtain a private key; the preset encryption algorithm may be an RSA algorithm, and the RSA algorithm may be used to encrypt the digital signature.
[0097] The RSA algorithm is an asymmetric encryption algorithm. It usually generates a pair of RSA keys, one of which is a confidential key (private key) kept by the user; the other is a public key (public key) that can be made public. When encrypting and transmitting content, for example, A wants to transmit information to B, A first encrypts the content with B's public key and then transmits it. After B receives the information transmitted by A, it decrypts it with its own private key.
[0098] The private key is hashed to obtain a private key string, and the private key string is sent to the display page of the target terminal. The private key is hashed and the private key string is sent to the display page of the target terminal, prompting the user that the marketing data has been successfully uploaded to the chain. The content of the marketing data successfully uploaded to the chain cannot be tampered with, and the data is stored safely.
[0099] The marketing data processing method provided by the embodiment of the present invention can effectively prompt the user that the marketing data has been successfully uploaded to the chain, making it convenient for the user to know.
[0100] Furthermore, the marketing data processing method further includes:
[0101] When the marketing data is encrypted using a preset encryption algorithm to obtain a private key, the private key is sent to the intranet mailbox of the user corresponding to the target terminal. That is, the server sends the private key to the intranet mailbox of the user. If the user wants to verify the information on the blockchain within his or her authority, he or she can enter the private key to obtain the evidence information on the blockchain. The user can compare and check the evidence information by himself or herself.
[0102] The marketing data processing method provided by the embodiment of the present invention ensures that the private key can be securely sent to the user.
[0103] The marketing data processing method of the embodiment of the present invention can be implemented in a modular manner, such as Figure 2 As shown, it includes a data entry module 1, a data classification module 2, a data query module 3, a data statistics module 4, a data approval module 5 and a data chain certification module 6.
[0104] Data entry module 1 is used for users to edit and enter marketing data through mobile terminals and upload pictures of marketing sites. While uploading marketing data and pictures to the server, they can also be uploaded to the blockchain platform for data storage. Pictures of marketing sites are convenient for proving that users have arrived at the marketing site and for management and assessment.
[0105] The data classification module 2 is used to classify the marketing data entered by the user, that is, to classify the marketing data according to the marketing customer level and push it to the corresponding approver, who approves the marketing data through the data statistics module 4.
[0106] The data query module 3 is used to query the marketing data. The marketing data can be queried by selecting a time period, keyword, organization name, etc., and detailed information of each data can be viewed by clicking on the details.
[0107] Data approval module 4 is used to approve marketing data. Data approval module 4 is divided into completed items and pending items. By viewing the details of pending marketing data, marketing data can be approved according to the marketing customer level. Tasks that need to be assigned can be transferred to others for processing. The higher the marketing customer level, the higher the approval priority.
[0108] Data statistics module 5, for the entered marketing data, classifies and counts them by each organization, and users can query and summarize them according to keywords and time periods. Clicking on each organization will display the marketing data within the organization, and users can timely grasp the marketing data of each organization through query, and conduct global analysis and control of marketing events based on the statistical marketing data.
[0109] The data chain certification module 6, the marketing data entered by the data entry module 1 and the data approved by the data approval module 4 are uploaded to the blockchain platform for evidence storage at the same time as they are uploaded to the server. In order to meet the needs of users for evidence storage and collection, the specific steps of chain evidence storage are as follows:
[0110] After each piece of marketing data is entered, it is uploaded to the chain for evidence storage. After the marketing data is successfully uploaded to the chain, the blockchain platform will return the successful parameters to the server through the interface, including: the status code of the uploaded evidence, the storage ID and the digital signature. The digital signature is encrypted using the RSA algorithm, and the private key is sent to the user through the intranet mailbox. At the same time, the private key is hashed and the obtained private key string is returned to the user's page, thereby proving that the marketing data has been successfully uploaded to the chain.
[0111] If the user wants to verify the information on the chain within his or her authority, he or she can enter the private key to obtain the evidence information on the blockchain. The user can compare and verify the evidence information by himself or herself.
[0112] like Figure 3As shown, the data classification module 2 includes an institution classification unit 21 and a branch network classification unit 22, wherein:
[0113] Organization category unit 21: The marketing data entered by the organization personnel is classified according to the marketing customer level and pushed to the corresponding approver. The classification basis can refer to the above description and will not be repeated.
[0114] Branch network category unit 22: The marketing data entered by the branch network staff is classified according to the marketing customer level and pushed to the corresponding approver. The classification basis can refer to the above description and will not be repeated.
[0115] like Figure 4 As shown, the data approval module 5 includes a completed item unit 51 and a to-do item unit 52, wherein:
[0116] Completed items unit 51: used for approved items. The approval process and event details can be viewed through the completed items unit 51, so as to better understand the completed items.
[0117] To-do unit 52: used to approve, view and modify the tasks assigned to oneself.
[0118] like Figure 5 As shown, the data chain certification module 6 includes a chain certification code display unit 61 and a chain information verification unit 62, wherein:
[0119] The chain proof display unit 61: encrypts the digital signature returned by the chain interface through the RSA algorithm, generates a private key, sends it to the user through the intranet email, and is saved by the user. The private key is processed by the hash algorithm, and the generated private key string is displayed on the page of the user terminal to prove that the data has been chained.
[0120] On-chain information verification unit 62: The user needs to find the private key of the corresponding marketing data through the intranet email, enter the private key in the on-chain information verification unit 62, and obtain the digital signature of the corresponding marketing data. The integrity and authenticity of the on-chain information is verified through the obtained digital signature.
[0121] The embodiments of the present invention have the following beneficial effects:
[0122] A method for entering marketing data, classifying data, approving data, uploading data to the blockchain, and presenting blockchain certification for the information uploaded to the blockchain has been established, which has realized the intelligent management of marketing data, improved data storage efficiency and security, while ensuring the timeliness of marketing data upload and approval, and solving the current problem of difficult marketing data management.
[0123] The present invention realizes the real-time input and upload of marketing data. Compared with the traditional manual paper record and input through mobile terminal, the database can store data in real time, with high security and accuracy, and can record marketing data as quickly as possible, ensuring the timeliness of data upload and approval.
[0124] The present invention realizes automatic classification of marketing data and determines the approval priority of marketing data according to the marketing customer level, thereby improving the timeliness of marketing data approval, reducing marketing losses caused by delayed processing of emergency marketing data, compensating for the problems and defects of existing marketing management methods, and making marketing data processing more timely and efficient.
[0125] The chain information certification method provided by the present invention makes the storage of chain information private keys safer through multiple encryption and the method of users directly managing keys. At the same time, it allows users to intuitively understand the situation of information on the chain, strengthens users' trust in information on the chain, and improves the overall quality of marketing work.
[0126] It should be noted that the marketing data processing method provided in the embodiment of the present invention can be used in the financial field, and can also be used in any technical field other than the financial field. The embodiment of the present invention does not limit the application field of the marketing data processing method.
[0127] Figure 6 FIG. 1 is a schematic diagram of the structure of a marketing data processing device provided by an embodiment of the present invention. Figure 6 As shown, the marketing data processing device provided by the embodiment of the present invention includes an acquisition unit 601, a processing unit 602 and a determination unit 603, wherein:
[0128] The acquisition unit 601 is used to acquire marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0129] The processing unit 602 is used to perform data type normalization processing on the marketing amount data, the marketing target position category and the marketing estimated transaction time, respectively, to obtain a data processing result with a unified dimension;
[0130] The determination unit 603 is used to determine the marketing customer level of the enterprise where the marketing target is employed according to the data processing result, and determine the approval priority for the marketing data according to the marketing customer level.
[0131] Specifically, the acquisition unit 601 in the device is used to acquire marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0132] The processing unit 602 is used to perform data type normalization processing on the marketing amount data, the marketing target position category and the marketing estimated transaction time, respectively, to obtain a data processing result with a unified dimension;
[0133] The determination unit 603 is used to determine the marketing customer level of the enterprise where the marketing target is employed according to the data processing result, and determine the approval priority for the marketing data according to the marketing customer level.
[0134] The marketing data processing device provided in the embodiment of the present invention acquires marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time; the marketing amount data, the marketing target position category and the marketing expected transaction time are respectively subjected to data type normalization processing to obtain a data processing result of a unified dimension; the marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level, and the marketing customer level is used to make important marketing data have a higher approval priority, so that the approver can approve the important marketing data in a timely manner.
[0135] The embodiments of the present invention provide an embodiment of a marketing data processing device which can be specifically used to execute the processing flow of the above-mentioned method embodiments. Its functions are not described in detail here, and reference can be made to the detailed description of the above-mentioned method embodiments.
[0136] Figure 7 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention, such as Figure 7 As shown, the electronic device includes: a processor (processor) 701, a memory (memory) 702 and a bus 703;
[0137] The processor 701 and the memory 702 communicate with each other via a bus 703;
[0138] The processor 701 is used to call the program instructions in the memory 702 to execute the methods provided by the above method embodiments, for example, including:
[0139] Obtaining marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0140] The marketing amount data, the marketing target position category and the marketing estimated transaction time are respectively subjected to data type normalization processing to obtain a data processing result with a unified dimension;
[0141] The marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level.
[0142] This embodiment discloses a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can perform the methods provided by the above method embodiments, for example, including:
[0143] Obtaining marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0144] The marketing amount data, the marketing target position category and the marketing estimated transaction time are respectively subjected to data type normalization processing to obtain a data processing result with a unified dimension;
[0145] The marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level.
[0146] This embodiment provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program enables the computer to execute the methods provided by the above method embodiments, for example, including:
[0147] Obtaining marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time;
[0148] The marketing amount data, the marketing target position category and the marketing estimated transaction time are respectively subjected to data type normalization processing to obtain a data processing result with a unified dimension;
[0149] The marketing customer level of the enterprise where the marketing target is employed is determined according to the data processing result, and the approval priority for the marketing data is determined according to the marketing customer level.
[0150] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0151] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0152] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0153] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0154] In the description of this specification, the description with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.
[0155] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. A marketing data processing method, characterized in that: include: Obtaining marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time; The marketing target job category is the job category of the client company; The marketing amount data, the marketing target position category and the marketing estimated transaction time are respectively subjected to data type normalization processing to obtain a data processing result with a unified dimension; Determine the marketing customer level of the enterprise where the marketing target works according to the data processing result, and determine the approval priority for the marketing data according to the marketing customer level; The obtaining of marketing data includes: Receiving the marketing data uploaded by the target terminal; The marketing data processing method further includes: Receive the parameters fed back after the marketing data is successfully stored on the chain; the parameters include at least the status code of the storage, the storage ID and the digital signature; According to the digital signature, the marketing data is encrypted using a preset encryption algorithm to obtain a private key; Performing hash processing on the private key to obtain a private key string, and sending the private key string to a display page of the target terminal; The data type normalization processing is performed on the marketing amount data, the marketing target position category and the marketing estimated transaction time, respectively, including: According to the preset marketing amount data interval where the marketing amount data is located, determining a preset marketing amount data score corresponding to the preset marketing amount data interval; Determine a preset marketing target position category corresponding to the marketing target position category, and determine a preset marketing target position category score corresponding to the preset marketing target position category; Calculate the difference between the marketing expected transaction time and the current time, determine a preset marketing expected transaction time difference interval corresponding to the difference calculation result, and determine a preset marketing expected transaction time difference interval score corresponding to the preset marketing expected transaction time difference interval; The marketing data processing method further includes: By periodically executing the steps of acquiring marketing data and determining the approval priority for the marketing data according to the marketing customer level, the difference calculation result is updated according to the number of execution cycles to achieve the updating of the preset marketing expected transaction time difference interval score.
2. The marketing data processing method according to claim 1, characterized in that: Determining the marketing customer level of the enterprise where the marketing target is employed according to the data processing result includes: The marketing customer grade score is determined based on the preset marketing amount data score, the preset marketing target position category score and the preset marketing expected transaction time difference interval score, and the marketing customer grade is determined based on the marketing customer grade score.
3. The marketing data processing method according to claim 1, characterized in that: The determining the approval priority for the marketing data according to the marketing customer level includes: The marketing data is arranged in order from high to low according to the marketing customer levels, and the approval priority is determined according to the arrangement result.
4. The marketing data processing method according to claim 1, characterized in that: The marketing data processing method further includes: When the marketing data is encrypted using a preset encryption algorithm to obtain a private key, the private key is sent to an intranet mailbox of a user corresponding to the target terminal.
5. A marketing data processing device, characterized in that: include: An acquisition unit, used to acquire marketing data; the marketing data includes marketing amount data, marketing target position category and marketing expected transaction time; The marketing target job category is the job category of the client company; A processing unit, configured to perform data type normalization processing on the marketing amount data, the marketing target position category, and the marketing estimated transaction time, respectively, to obtain a data processing result with a unified dimension; a determination unit, configured to determine the marketing customer level of the enterprise where the marketing target is employed according to the data processing result, and determine the approval priority for the marketing data according to the marketing customer level; The obtaining of marketing data includes: Receiving the marketing data uploaded by the target terminal; The marketing data processing method further includes: Receive the parameters fed back after the marketing data is successfully stored on the chain; the parameters include at least the status code of the storage, the storage ID and the digital signature; According to the digital signature, the marketing data is encrypted using a preset encryption algorithm to obtain a private key; Performing hash processing on the private key to obtain a private key string, and sending the private key string to a display page of the target terminal; The data type normalization processing is performed on the marketing amount data, the marketing target position category and the marketing estimated transaction time, respectively, including: According to the preset marketing amount data interval where the marketing amount data is located, determining a preset marketing amount data score corresponding to the preset marketing amount data interval; Determine a preset marketing target position category corresponding to the marketing target position category, and determine a preset marketing target position category score corresponding to the preset marketing target position category; Calculate the difference between the marketing expected transaction time and the current time, determine a preset marketing expected transaction time difference interval corresponding to the difference calculation result, and determine a preset marketing expected transaction time difference interval score corresponding to the preset marketing expected transaction time difference interval; The marketing data processing device is also used for: By periodically executing the steps of acquiring marketing data and determining the approval priority for the marketing data according to the marketing customer level, the difference calculation result is updated according to the number of execution cycles to achieve the updating of the preset marketing expected transaction time difference interval score.
6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.
7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.
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