CN115409556A - Data processing method, device, equipment and medium - Google Patents

Data processing method, device, equipment and medium Download PDF

Info

Publication number
CN115409556A
CN115409556A CN202211051738.1A CN202211051738A CN115409556A CN 115409556 A CN115409556 A CN 115409556A CN 202211051738 A CN202211051738 A CN 202211051738A CN 115409556 A CN115409556 A CN 115409556A
Authority
CN
China
Prior art keywords
customer
sales data
target
activity
pis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211051738.1A
Other languages
Chinese (zh)
Inventor
陈炬光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Construction Bank Corp
CCB Finetech Co Ltd
Original Assignee
China Construction Bank Corp
CCB Finetech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Construction Bank Corp, CCB Finetech Co Ltd filed Critical China Construction Bank Corp
Priority to CN202211051738.1A priority Critical patent/CN115409556A/en
Publication of CN115409556A publication Critical patent/CN115409556A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0213—Consumer transaction fees
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation or account maintenance

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Technology Law (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to the field of data analysis, in particular to a data processing method, device, equipment and medium, which are used for solving the technical problems of low efficiency and high cost of the statistical standard-reaching client in the marketing activities in the prior art. The method comprises the following steps: based on the first target customer information C 11 Determining sales data PIS of at least one target customer from a plurality of sales data PIS to be processed 11 (ii) a Sales data PIS of the at least one target customer based on a first target marketing plan list CRIA 11 Determining new standard clients CCR from the at least one target client 1 。

Description

Data processing method, device, equipment and medium
Technical Field
The present application relates to the field of data analysis, and in particular, to a data processing method, apparatus, device, and medium.
Background
Marketing activities of large banks are generally completed by branches of all places, and activity data of branches of all places are gathered to a head office for statistics. Due to different rules of each activity, the time for uploading the sales data of each activity to the head office is not necessarily the same. When the head office counts the activity data, the head office needs to wait for the uploading of the sales data of all the activities, and then manually and uniformly determines the newly increased standard-reaching clients of all the activities. The statistical method has the problems of calculation delay and incapability of updating newly added standard clients in time, and is high in labor cost.
Disclosure of Invention
The embodiment of the application provides a data processing method, a data processing device, data processing equipment and a data processing medium, which are used for solving the technical problems of low efficiency and high cost of the client which is up to the standard in the marketing campaign in the prior art.
In a first aspect, an embodiment of the present invention provides a data processing method, where the method includes: according to the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 (ii) a Wherein the first target customer information C 11 For indicating at least one non-qualifying customer of a number of target customers for a first campaign, the first target customer information C 11 The method comprises the following steps: an identity AY of the first activity 1 An identification of the at least one substandard customer; each piece of sales data in the plurality of pieces of sales data PIS is used for indicating consumption information of a product corresponding to a customer, and the consumption information comprises: customer identification, product identification P i Consumption type I i Consumption value V n And a time of consumption; sales data PIS of the at least one substandard customer according to a first target marketing plan list CRIA 11 Determining a new up-to-standard customer CCR from the at least one down-to-standard customer 1 (ii) a Wherein the first marketing plan list CRIA is used for indicating a marketing plan corresponding to the first activity that is not completed, and the first target marketing plan list CRIA comprises: an identity AY of the first activity 1 Reward Rule corresponding to the first activity 1 A first time range; reward Rule corresponding to the first activity 1 Comprises the following steps: the customer aims at the first product P within the preset time range 1 Generating a first consumption type I 1 The corresponding consumption value reaches a preset value; the newly added up-to-standard client CCR 1 The sales data of (a) satisfies reward rules corresponding to the first campaign.
In the present solution, first, the first target customer information C is used 11 Determining at least one piece of non-processed sales data PISSales data PIS of standard-reaching client 11 And then according to the rule in the first target marketing plan list CRIA, judging the sales data PIS of at least one substandard customer 11 Whether the clients in the method are standard clients or not can be achieved, manual participation is not needed in the whole process of the method, and the cost of human resources can be saved.
Moreover, the scheme is provided based on the commonality of various marketing activities (for example, each marketing activity has corresponding target customer information, sales data, marketing plan list and the like), so the scheme is applicable to any marketing activity. When the sales data corresponding to any activity (such as a first activity) is obtained, according to the method, the standard-reaching customer condition of the activity can be counted by using the sales data corresponding to the activity, the target customer information and the marketing plan statement, and the sales data of other activities does not need to be waited, so that the statistical efficiency and timeliness of the standard-reaching customers can be achieved.
Optionally, the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 The method comprises the following steps: and determining that the customer identification belongs to the sales data of the at least one substandard customer identification from the plurality of pieces of sales data PIS to be processed.
The method determines the sales data of the substandard customers by matching the customer identifiers and the substandard customer identifiers in the sales data, and is accurate, simple and easy to implement.
Optionally, the first target customer information C is used 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 Before, still include: from a number of target customer information C for the first campaign 1 Excluding the second target customer information C 12 Obtaining the first target customer information C 11 Wherein said second target customer information C 12 Information of one or more target clients that have reached the standard.
By the method, the influence of the clients with the counted sales data is eliminated, and the newly added standard clients can be more accurately determined.
Optionally, the sales data PIS of the at least one substandard customer according to the first target marketing plan list CRIA 11 Determining new standard customer CCR from the at least one target customer 1 Previously, the method further comprises: determining a plan list matched with the product identification and the consumption time in the plurality of pieces of sales data PIS from an unprocessed plan list CRIC to obtain a first target marketing plan list CRIA; wherein the unprocessed plan list CRIC is used to indicate an incomplete marketing plan corresponding to the first campaign, the unprocessed plan list CRIC including: an identity AY of the first activity 1 Reward Rule corresponding to the first activity 1 A second time range, wherein the first time range is within the second time range.
According to the method, the first target marketing plan list CRIA is determined from the unprocessed plan list CRIC by matching the product identification and the consumption time, other plan lists irrelevant to current sales data can be eliminated, and the workload of the subsequent standard-reaching client statistics can be reduced.
Optionally, before the determining, from the unprocessed schedule CRIC, a schedule that matches the product identifier and the consumption time in the pieces of sales data PIS, the method further includes: excluding a processed plan list CRIB from an initial marketing plan list CRI to obtain the unprocessed plan list CRIC, wherein the initial marketing plan list CRI is used for indicating all marketing plans corresponding to the first activity; the initial marketing plan list CRI comprises: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A third time range; the processed program list CRIB is used for indicating a completed marketing program corresponding to the first activity, and the processed program list CRIB comprises: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A fourth time range; wherein the fourth time range and the second timeThe time ranges are all within the third time range and the fourth time range precedes the second time range.
By the mode, the processed plan list CRIB is excluded from the initial marketing plan list CRI, so that the workload of the subsequent statistics of the standard-reaching customers can be reduced.
Optionally, the sales data PIS of the at least one target customer according to the first target marketing plan list CRIA 11 Determining new standard clients CCR from the at least one target client 1 Then, the method comprises the following steps: updating the processed plan list CRIB according to the first target marketing plan list CRIA; and/or according to the newly added standard customer CCR 1 Updating the second target customer information C 12 。
By the method, the processed plan list and/or the newly increased standard-reaching clients can be updated, the accuracy of statistical data is guaranteed, and the next statistics of the processed plan list and/or the newly increased standard-reaching clients is facilitated.
In a second aspect, the present application provides a data processing apparatus comprising means for performing the method of the first aspect or any one of the alternative embodiments of the first aspect.
Illustratively, the apparatus may include:
the acquisition module is used for acquiring a plurality of pieces of sales data PIS to be processed;
a processing module for processing the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of sales data PIS to be processed 11 (ii) a Wherein the first target customer information C 11 For indicating at least one non-qualifying customer of a number of target customers for a first campaign, the first target customer information C 11 The method comprises the following steps: identity AY of the first activity 1 An identification of the at least one substandard customer; each piece of sales data PIS is used for indicating the consumption information of a product corresponding to a client, and the consumption information comprises: customer identification, product identification P i Consumption type I i Consumption value V n And a time of consumption; sales data PIS of the at least one substandard customer according to a first target marketing plan list CRIA 11 Determining a new up-to-standard customer CCR from the at least one down-to-standard customer 1 (ii) a Wherein the first marketing plan list CRIA is used for indicating a marketing plan corresponding to the first activity that is not completed, and the first target marketing plan list CRIA comprises: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A first time range; reward Rule corresponding to the first activity 1 Comprises the following steps: the customer aims at the first product P within the preset time range 1 Generating a first consumption type I 1 The corresponding consumption value reaches a preset value; the newly added up-to-standard client CCR 1 The sales data of (a) satisfies reward rules corresponding to the first campaign.
Optionally, the processing module is specifically configured to: and determining that the customer identifier belongs to the sales data of the at least one substandard customer identifier from the plurality of pieces of sales data PIS to be processed.
Optionally, the processing module is configured to: in the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of sales data PIS to be processed 11 Previously, from several target customer information C for the first campaign 1 Excluding the second target customer information C 12 Obtaining the first target customer information C 11 Wherein said second target customer information C 12 Information of one or more target customers that have reached the standard.
Optionally, the processing module is configured to: sales data PIS of the at least one substandard customer according to the first target marketing plan list CRIA 11 Determining new standard customer CCR from the at least one target customer 1 Previously, a schedule matching the product identifier and the consumption time in the sales data PIS is determined from the unprocessed schedule CRICTo the first target marketing plan manifest CRIA; wherein the unprocessed plan list CRIC is used to indicate an incomplete marketing plan corresponding to the first campaign, the unprocessed plan list CRIC including: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A second time range, wherein the first time range is within the second time range.
Optionally, the processing module is configured to: excluding a processed program list CRIB from an initial marketing program list CRI to obtain the unprocessed program list CRIC before determining a program list matching the product identifier and the consumption time in the pieces of sales data PIS from the unprocessed program list CRIC, wherein the initial marketing program list CRI is used for indicating all marketing programs corresponding to the first campaign; the initial marketing plan list CRI comprises: identity AY of the first activity 1 Reward Rule corresponding to the first activity 1 A third time range; the processed program list CRIB is used for indicating a completed marketing program corresponding to the first activity, and the processed program list CRIB comprises: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A fourth time range; wherein the fourth time range and the second time range are both within the third time range and the fourth time range precedes the second time range.
Optionally, the processing module is configured to: the processing module is used for processing the sales data PIS of the at least one substandard customer according to a first target marketing plan list CRIA 11 Determining new standard clients CCR from the at least one target client 1 Then, updating the processed plan list CRIB according to the first target marketing plan list CRIA; and/or according to the newly added standard customer CCR 1 Updating the second target customer information C 12 。
In a third aspect, an electronic device is provided, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor causes the at least one processor to perform the method of the first aspect or any one of the alternative embodiments of the first aspect by executing the instructions stored by the memory.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method of any of the first aspects.
In a fifth aspect, the present application provides a computer program product comprising: computer program code which, when run on a computer, causes the computer to perform the method of any of the first aspects.
The technical effects or advantages of one or more of the technical solutions provided in the second, third, fourth and fifth aspects of the embodiments of the present application may be correspondingly explained by the technical effects or advantages of one or more of the corresponding technical solutions provided in the first aspect.
Drawings
Fig. 1 is a schematic view of a scenario provided in an embodiment of the present application;
fig. 2 is a flowchart of a data processing method according to an embodiment of the present application;
fig. 3 is a structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 4 is a structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. In the present application, the embodiments and features of the embodiments may be arbitrarily combined with each other without conflict. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
The terms "first" and "second" in the description and claims of the present application and the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the term "comprises" and any variations thereof, which are intended to cover non-exclusive protection. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The "plurality" in the present application may mean at least two, for example, two, three or more, and the embodiments of the present application are not limited.
The term "and/or" in the embodiment of the present application is only one kind of association relation describing an association object, and indicates that three kinds of relations may exist, for example, a and/or B, and may indicate: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In the technical scheme, the data acquisition, transmission, use and the like meet the requirements of relevant national laws and regulations.
In order to facilitate understanding of the scheme of the embodiment of the present application, a possible application scenario of the embodiment of the present application is described below.
The embodiment of the application is suitable for statistical scenes of various marketing activities.
Taking a marketing campaign statistics scenario of a bank as an example, referring to fig. 1, a scenario diagram applicable to the embodiment of the present application is shown, where the system includes a first device and a plurality of second devices, the second devices are devices of branch banks, and the first device is a device of a head bank. In the process of holding the marketing campaign by the branch department, the generated sales data can be uploaded to the first equipment of the head office through the second equipment. For example, the second device is a server of a branch row and the first device is a server of a head row.
Referring to fig. 2, a flowchart of a data processing method provided in an embodiment of the present application is shown, where the method is applied to the scenario shown in fig. 1, and the method includes the following specific steps:
s201: the first device is based on the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 。
Specifically, the first target customer information C 11 For indicating at least one non-qualifying client of a number of target clients for a first campaign, first target client information C 11 The method comprises the following steps: identification of first activity AY 1 At least one substandard customer identification; each piece of sales data in the plurality of pieces of sales data PIS is used for indicating consumption information of a product corresponding to a customer, and the consumption information comprises: customer identification, product identification P i Consumption type I i Consumption value V n And time of consumption.
For example, for a financial purchasing activity, the target customers of the activity are customers who have purchased the same financial product as the current activity.
The first equipment screens out the customer identification containing the first target customer information C from the plurality of pieces of sales data PIS 11 The sales data corresponding to the screened customer identification is the sales data PIS of at least one substandard customer 11 。
In a specific example, when the product is identified as financing, the consumption type may be a purchase amount, and the plurality of pieces of sales data PIS include the first sales data and the second sales data. The first sales data may be represented as: the amount of money for the first customer to purchase financing at 2022-1-1 is 100 yuan; when the product is identified as a fund, the consumption type may be the fund and the second sales data may be expressed as: the second customer purchases 3 funds at 2022-1-1 to 2022-1-3. It should be understood that the plurality of pieces of sales data PIS include at least one piece of sales data, and the product identification includes, but is not limited to, one of financing, fund and deposit; the consumption type includes but is not limited to one of the number of bought strokes, the amount of bought money and the way of purchase; there may be various combinations of product identification and consumption type for different activities.
Optionally, the first device determines, from the plurality of pieces of sales data PIS to be processed, that the customer identifier belongs to the sales data of at least one target customer identifier.
In a specific example, the clients in the pieces of sales data PIS to be processed are identified as a third client, a fourth client, a fifth client, and first target client information C 11 The client identifications in (1) are a third client, a fourth client and a sixth client; the first equipment determines that the sales data of the third customer and the fourth customer are the sales data PIS of at least one target customer identifier from the plurality of sales data PIS to be processed 11 。
Therefore, the sales data of the at least one substandard customer can be obtained, and the first equipment can conveniently judge whether the at least one substandard customer is a substandard customer.
Optionally, the first device is based on the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 Previously, also from several target customer information C for the first campaign 1 Excluding the second target customer information C 12 Obtaining the first target customer information C 11 Wherein the second target customer information C 12 Information of one or more target clients that have reached the standard.
In a specific example, several target customer information C 1 Comprises the following steps: first customer information, second customer information, third customer information, fourth customer information, second destinationTarget customer information C 12 Comprises the following steps: the first customer information, the third customer information, a plurality of target customer information C from the first activity 1 Excluding the second target customer information C 12 The obtained first target customer information C 11 Comprises the following steps: second customer information, fourth customer information.
Thus, the influence of the customer whose sales data has been counted is eliminated, and the first target customer information C is obtained 11 The method is used for indicating at least one target client of which the sales data are not counted, so that the first equipment can accurately obtain the newly added standard client.
S202: the first equipment according to the first target marketing plan list CRIA and the sales data PIS of at least one substandard client 11 Determining new standard customer CCR from at least one target customer 1 。
Specifically, the first target marketing plan list CRIA includes: identification of first activity AY 1 Reward Rule corresponding to first activity 1 A first time range; reward Rule corresponding to the first activity 1 Comprises the following steps: the customer aims at the first product P within the preset time range 1 Generating a first consumption type I 1 And the corresponding consumption value reaches a preset value.
Optionally, the first target marketing plan list CRIA may further include an award corresponding to the first campaign, and when the customer completes the award Rule corresponding to the first campaign 1 And issuing the reward corresponding to the first activity to the client. For example, the reward can be uniformly issued to the standard-reaching clients after the marketing campaign is finished, or the CCR of the newly-added standard-reaching clients is determined 1 And then, the new standard-reaching client is issued. The reward may be a physical reward, such as bank mementos, or a virtual reward, such as customer points.
In one specific example, the first targeted marketing plan list CRIA is: the financing activities held at 2022-1-3, the amount of financing purchased in a day is greater than or equal to 100 dollars, and the awards are issued to add 10 points to the customer account which reaches the standard.
When sales data PIS of at least one target customer 11 Identifies a reward Rule corresponding to a first campaign in a first targeted marketing plan inventory CRIA 1 First product identification P in (1) 1 If the same, inquiring the sales data PIS of at least one substandard customer 11 Whether the first activity corresponding reward Rule is satisfied 1 If yes, sales data PIS of at least one substandard customer 11 The customer identification in the system indicates that the customer corresponding to the customer identification is a newly increased standard-reaching customer CCR 1 。
In a specific example, sales data PIS of at least one target customer 11 The product in (1) is marked as fortune, rule 1 First product identification P in (1) 1 For financing, querying PIS 11 Whether the consumption information of the at least one target client satisfies Rule 1 And if so, the client is a standard client and can be issued with activity corresponding rewards.
Optionally, the first device is configured to provide the sales data PIS of the at least one target customer according to the first target marketing plan list CRIA 11 Determining new standard customer CCR from at least one target customer 1 Previously, determining a plan list matched with product identifiers and consumption time in a plurality of pieces of sales data PIS from an unprocessed plan list CRIC to obtain a first target marketing plan list CRIA; wherein the unprocessed plan list CRIC is used to indicate an incomplete marketing plan corresponding to the first campaign, the unprocessed plan list CRIC comprising: identification of first activity AY 1 Reward Rule corresponding to first activity 1 A second time range, wherein the first time range is within the second time range.
In one specific example, the unprocessed plan list CRIC is: the financing activities held at 2022-1-3 to 2022-1-5 buy financing amounts of 100 yuan or more in one day. The plurality of pieces of sales data PIS include first sales data and second sales data. The first sales data may be expressed as: the amount of money for the first customer to purchase financing at 2022-1-3 is 100 yuan; when the product is identified as a fund, the consumption type may be the fund and the second sales data may be expressed as: the second customer purchases 3 basic pens at 2022-01-01 to 2022-1-3. The financing in the unprocessed planning inventory CRIC is the same as the financing of the purchase of the first customer, and the consumption time of 2022-1-3 to 2022-1-5 in the plurality of sales data PIS is 2022-1-3, so that the first objective marketing planning inventory CRIA is obtained as the financing activity of 2022-1-3, and the amount of the financing purchased in one day is more than or equal to 100 yuan.
By the method, the first target marketing plan list CRIA with the sales data in the unprocessed plan list CRIC is obtained, namely the first target marketing plan list CRIA only contains the current processable marketing plan, so that the understanding is facilitated.
Optionally, before determining a plan list matching the product identifier and the consumption time in the sales data PIS from the unprocessed plan list CRIC, the first device excludes the processed plan list CRIB from the initial marketing plan list CRI to obtain an unprocessed plan list CRIC, wherein the initial marketing plan list CRI is used to indicate all marketing plans corresponding to the first campaign; the initial marketing plan list CRI includes: identification of first activity AY 1 Reward Rule corresponding to first activity 1 A third time range; a processed program inventory CRIB for indicating a completed marketing program corresponding to the first campaign, the processed program inventory CRIB comprising: identification of first activity AY 1 Reward Rule corresponding to first activity 1 A fourth time range; wherein the fourth time range and the second time range are both within the third time range and the fourth time range precedes the second time range.
In one specific example, the current date is 2022-01-04, and the initial marketing plan list CRI is: financial activities held at 2022-1-1 to 2022-1-5, the amount of money purchased in a day is greater than or equal to 100 dollars, and the processed plan list CRIB is: financing activities conducted at 2022-1-1 through 2022-1-2, purchase a financing amount of 100 dollars or more during the course of a day, exclude a processed program list CRIB from an initial marketing program list CRI, and obtain an unprocessed program list CRIC as: the financing activities held at 2022-1-3 to 2022-1-4 purchase financing amounts of 100 yuan or more in one day.
By the method, the processed CRIB is excluded from the CRI to obtain the CRIC, so that the interference of the processed CRIC can be eliminated, the accuracy of the first equipment for judging the standard-reaching client can be improved, and the calculation efficiency can be improved.
Optionally, the first device is configured to receive sales data PIS of at least one target customer based on the first target marketing plan list CRIA 11 Determining new standard clients CCR from at least one target client 1 Then, updating the processed plan list CRIB according to the first target marketing plan list CRIA; and/or according to the newly added standard customer CCR 1 Updating second target customer information C 12 。
In one possible approach, the dates of the first target marketing plan list CRIA and the processed plan list CRIB are merged to obtain an updated processed plan list CRIB; CCR for newly added standard-reaching client 1 With second target customer information C 12 Merging to obtain updated second target customer information C 12 。
For example: the first targeted marketing plan list CRIA is a financing campaign that is held at 2022-1-3, and the amount of financing for purchase is greater than or equal to 100 dollars in one day; the processed plan list CRIB is: the financing activities held from 2022-1-1 to 2022-1-2, the amount of financing purchased in one day is more than or equal to 100 yuan; the updated processed plan list CRIB is: the financing activities held at 2022-1-1 to 2022-1-3 buy financing amounts of 100 yuan or more in one day.
Second target customer information C 12 Comprises the following steps: first customer information, third customer information; new standard customer CCR 1 Comprises the following steps: second customer information, fourth customer information; the updated second target customer information C 12 Comprises the following steps: the first client information, the second client information, the third client information and the fourth client information.
It can be understood that, for the same client, if the client is not determined as the newly increased standard-reaching client, when the sales data corresponding to the client changes, it is necessary to determine whether the client is the newly increased standard-reaching client again; if the client is determined to be a newly increased standard-reaching client, the first device does not need to acquire the sales data of the client when the sales data corresponding to the client changes.
By the method, the processed plan list can be updated and/or the standard-reaching clients are newly added, so that the data in the first equipment are accurate, and the processed plan list and/or the newly added standard-reaching clients can be counted conveniently next time.
In the scheme, according to the rule in the first target marketing plan list CRIA, the sales data PIS of at least one substandard client is judged 11 Whether the customer in (1) is a standard customer. Since different marketing campaigns all have corresponding target customer information, sales data, marketing plan inventory, etc., the scheme is applicable to any marketing campaign. When the second equipment uploads any activity sales data to the first equipment, the standard-reaching client condition of the activity can be counted, and the first equipment does not need to wait for sales data of other activities, so that the counting efficiency can be improved.
In order to more clearly understand the technical solution of the embodiment of the present application, the following is a more complete example:
current date 2022-8-5, initial marketing plan list CRI includes:
the A activities held in 2022-8-1 to 2022-8-10 buy more than or equal to 3 financial instruments within two days;
activity B, held in 2022-7-29 to 2022-8-7, purchases a loan amount of 100 dollars or more during the day;
the C activity held in 2022-8-3 to 2022-8-12 purchases a deposit amount of 200 yuan or more in one day.
The processed plan list CRIB includes:
the A activities held in 2022-8-1 to 2022-8-3 buy more than or equal to 3 financial instruments within two days;
activity B, held in 2022-7-29 to 2022-8-4, purchases a loan amount of 100 dollars or more during the day;
the C activity held in 2022-8-3 to 2022-8-4 purchases a deposit amount of 200 dollars or more in one day.
In a first step, a first device receives a plurality of pieces of sales data PIS collected from a second device.
Second, get the non-standard customer information by excluding the standard customer information from the target customer information, namely from C A Middle exclusion of C A1 Get target customer C of Activity A that is not up to standard A2 From C B Middle exclusion of C B1 Get target customer C of campaign B that is not up to standard B2 From C C Middle exclusion of C C1 Get target client C of activity C that is not up to standard C2 . Wherein C is A 、C B 、C C Target customer information for activities A, B, C A1 、C B1 、C C1 Information of the reached target client corresponding to the activities A, B and C.
Respectively screening customer identifications containing C from a plurality of pieces of sales data PIS A2 、C B2 、C C2 The sales data corresponding to the screened customer identification is the PIS A 、PIS B 、PIS C ，PIS A Sales data, PIS, for substandard target customers of Activity A B Sales data, PIS, for substandard target customers of Activity B A Sales data for substandard target customers for campaign C.
Thirdly, excluding the processed plan list CRIB from the initial marketing plan list CRI to obtain the unprocessed plan list CRIC, wherein the unprocessed plan list CRIC comprises:
the A activities held in 2022-8-4 to 2022-8-5 buy more than or equal to 3 financial strokes within two days;
activity B, held in 2022-8-5, purchases a loan amount of 100 dollars or more in one day;
at C, which is held at 2022-8-5, the amount of the deposit is 200 dollars or more during the day.
Extracting product identification and consumption time in a plurality of pieces of sales data PIS to obtain:
P A 2022-8-1 to 2022-8-4;
P B 2022-7-29 to 2022-8-5;
P C 2022-8-3 to 2022-8-4.
Rule in unprocessed plan inventory CRIC A P in (1) A 、Rule B P in (1) B 、Rule C P in (1) C The same product identification P can be found in a plurality of pieces of sales data PIS A 、P B 、P C And activity A2022-8-4 through 2022-8-5 in the unprocessed schedule list CRIC and P in the PIS A The corresponding consumption time 2022-8-1 to 2022-8-4 has an intersection 2022-8-4; and 2022-8-5 for Activity B in unprocessed Schedule List CRIC and P in PIS A The corresponding consumption time 2022-7-29 to 2022-8-5 has an intersection 2022-8-5.
The target marketing plan list CRIA is obtained as follows:
the A activity held in 2022-8-4, the number of financial instruments purchased in two days is more than or equal to 3;
activity B, held in 2022-8-5, purchases a loan amount of 100 dollars or more in a day.
The fourth step, when the PIS A Product identification and Rule in target marketing plan inventory CRIA A P in (1) A Same, querying sales data PIS A Whether to satisfy Rule A Satisfied sales data PIS A The client identifier in (2) indicates that the corresponding client is the new client CCR A ；PIS B Product identification and Rule in target marketing plan inventory CRIA B P in (1) B Same, querying sales data PIS B Whether to satisfy Rule B Satisfied sales data PIS A The client identifier in (2) indicates that the corresponding client is the new client CCR B 。
Updating the processed plan list CRIB according to the target marketing plan list CRIA, wherein the updated processed plan list CRIB is as follows:
the A activities held in 2022-8-1 to 2022-8-4 buy more than or equal to 3 financial instruments within two days;
activity B, held in 2022-7-29 to 2022-8-5, purchases a loan amount of 100 dollars or more during the day;
at C activity, held at 2022-8-3 to 2022-8-4, a deposit amount of 200 dollars or more is purchased during the day.
According to new customer CCR A 、CCR B Updating the information of the target client which has processed the sales data, wherein the information of the target client which has reached the standard after the activities A, B and C are respectively: c A1 +CCR A 、C B1 +CCR B 、C C1 。
It can be seen from the above examples that, for different activities, the updated processed plan list CRIB corresponding to the different activities and the updated information of the target customer having reached the standard can be respectively counted, and when there is any activity sales data, the condition of the customer having reached the standard of the activity can be counted, so that the statistical efficiency can be improved.
Based on the same inventive concept, the embodiment of the application also provides a data processing device.
Referring to fig. 3, a block diagram of a data processing apparatus, which may be the first device in the foregoing, provided in this embodiment of the present application is a device including modules/units/technical means for performing the method performed by the first device in the foregoing method embodiment.
Illustratively, the apparatus 300 includes:
an obtaining module 301, configured to obtain a plurality of pieces of sales data PIS to be processed;
a processing module 302 for processing the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 (ii) a Wherein the first target customer information C 11 For indicating at least one non-qualifying customer of a number of target customers for a first campaign, the first target customer information C 11 The method comprises the following steps: an identity AY of the first activity 1 An identification of the at least one substandard customer; each piece of sales data PIS is used for indicating the consumption information of a product corresponding to a client, and the consumption information comprises: customer identification, product identification P i Consumption type I i Consumption value V n And a time of consumption; sales data PIS of the at least one substandard customer according to a first target marketing plan list CRIA 11 Determining a new up-to-standard customer CCR from the at least one down-to-standard customer 1 (ii) a Wherein the first marketing plan manifest CRIA is for indicating a marketing plan corresponding to the first campaign that has not yet been completed, the first target marketing plan manifest CRIA comprising: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A first time range; reward Rule corresponding to the first activity 1 Comprises the following steps: the customer aims at the first product P within a preset time range 1 Generating a first consumption type I 1 The corresponding consumption value reaches a preset value; the newly added standard customer CCR 1 The sales data of (a) meet the reward rules corresponding to the first campaign.
As an embodiment, the apparatus discussed in fig. 3 may be configured to execute the method described in the embodiment shown in fig. 2, and therefore, for functions and the like that can be implemented by each functional module of the apparatus, reference may be made to the description of the embodiment shown in fig. 2, which is not described herein again.
It should be noted that although in the above detailed description several modules or sub-modules of the apparatus are mentioned, such division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the units described above may be embodied in one module according to embodiments of the invention. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
Referring to fig. 4, as a possible product form of the above apparatus, an embodiment of the present application further provides an electronic device 400, including:
at least one processor 401; and a communication interface 403 communicatively coupled to the at least one processor 401; the at least one processor 401, by executing the instructions stored by the memory 402, causes the electronic device 400 to perform the method steps performed by the first device in the above-described method embodiments via the communication interface 403.
Optionally, the memory 402 is located outside the electronic device 400.
Optionally, the electronic device 400 includes the memory 402, the memory 402 is connected to the at least one processor 401, and the memory 402 stores instructions executable by the at least one processor 401. Fig. 4 shows in dashed lines that the memory 402 is optional for the electronic device 400.
The processor 401 and the memory 402 may be coupled through an interface circuit, or may be integrated together, which is not limited herein.
The specific connection medium between the processor 401, the memory 402 and the communication interface 403 is not limited in the embodiment of the present application. In the embodiment of the present application, the processor 401, the memory 402, and the communication interface 403 are connected through the bus 404 in fig. 4, the bus is represented by a thick line in fig. 4, and the connection manner among other components is only schematically illustrated and not limited. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but that does not indicate only one bus or one type of bus. It should be understood that the processors mentioned in the embodiments of the present application may be implemented by hardware or may be implemented by software. When implemented in hardware, the processor may be a logic circuit, an integrated circuit, or the like. When implemented in software, the processor may be a general-purpose processor implemented by reading software code stored in a memory.
The Processor may be, for example, a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be appreciated that the memory referred to in the embodiments of the application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), double Data rate Synchronous Dynamic random access memory (DDR SDRAM), enhanced Synchronous SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DR RAM).
It should be noted that when the processor is a general-purpose processor, a DSP, an ASIC, an FPGA or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component, the memory (memory module) may be integrated into the processor.
It should be noted that the memory described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
As another possible product form, the present application further provides a computer-readable storage medium for storing instructions, which, when executed, cause a computer to perform the method steps performed by the first device in the above method example.
As another possible product form, the present application further provides a computer program product containing instructions, where the instructions are stored in the computer program product, and when the instructions are executed on a computer, the computer program product causes the computer to execute the method steps executed by the first device in the method embodiments.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (15)

1. A data processing method, comprising:
based on the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of sales data PIS to be processed 11 (ii) a Wherein the first target customer information C 11 For indicating at least one non-qualifying customer of a number of target customers for a first campaign, the first target customer information C 11 The method comprises the following steps: an identity AY of the first activity 1 An identification of the at least one substandard customer; each piece of sales data in the plurality of pieces of sales data PIS is used for indicating consumption information of a product corresponding to a customer, and the consumption information comprises: customer identification, product identification P i Consumption type I i Consumption value V n And a time of consumption;
according to a first target marketing plan list CRIA, the sales data PIS of the at least one substandard customer 11 Determining a new up-to-standard customer CCR from the at least one down-to-standard customer 1 (ii) a Wherein the first marketing plan list CRIA is used for indicating a marketing plan corresponding to the first activity that is not completed, and the first target marketing plan list CRIA comprises: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A first time range; reward Rule corresponding to the first activity 1 Comprises the following steps: the customer aims at the first product P within the preset time range 1 Generating a first consumption type I 1 The corresponding consumption value reaches a preset value; the newly added standard customer CCR 1 The sales data of (a) meet the reward rules corresponding to the first campaign.
2. The method of claim 1, wherein said first target customer information C is based on 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 The method comprises the following steps:
and determining the sales data of which the client identification belongs to the identification of the at least one substandard client from the plurality of pieces of sales data PIS to be processed.
3. The method of claim 1, wherein said first target customer information C is based on 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 Before, still include:
from a number of target customer information C for the first campaign 1 Excluding the second target customer information C 12 Obtaining the first target customer information C 11 Wherein the second target customer information C 12 Information of one or more target customers that have reached the standard.
4. The method of claim 1, wherein the sales data of the at least one substandard customer, PIS, is based on a first Targeted marketing plan List, CRIA 11 Determining a new up-to-standard customer CCR from the at least one down-to-standard customer 1 Previously, the method further comprises:
determining the product identification P associated with the plurality of sales data PIS from an unprocessed planning list CRIC i Obtaining a first target marketing plan list CRIA by a plan list matched with the consumption time; wherein the unprocessed plan list CRIC is used to indicate an incomplete marketing plan corresponding to the first campaign, the unprocessed plan list CRIC including: identity AY of the first activity 1 Reward Rule corresponding to the first activity 1 A second time range, wherein the first time range is in the second time rangeInside the enclosure.
5. The method as recited in claim 4, further comprising, prior to said determining from said unprocessed itinerary list CRIC an itinerary that matches said product identification and said consumption time in said number of pieces of sales data PIS:
excluding a processed plan list CRIB from an initial marketing plan list CRI to obtain the unprocessed plan list CRIC, wherein the initial marketing plan list CRI is used for indicating all marketing plans corresponding to the first activity; the initial marketing plan list CRI comprises: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A third time range;
the processed program manifest CRIB for indicating a completed marketing program corresponding to the first campaign, the processed program manifest CRIB comprising: an identity AY of the first activity 1 Reward Rule corresponding to the first activity 1 A fourth time range; wherein the fourth time range and the second time range are both within the third time range and the fourth time range is before the second time range.
6. The method of any of claims 1-5, wherein sales data PIS of the at least one non-compliant customer according to a first targeted marketing plan list CRIA 11 Determining a new up-to-standard customer CCR from the at least one down-to-standard customer 1 Then, the method comprises the following steps:
updating the processed plan list CRIB according to the first target marketing plan list CRIA; and/or the presence of a gas in the gas,
according to the newly increased standard-reaching client CCR 1 Updating the second target customer information C 12 。
7. A data processing apparatus, comprising:
the acquisition module is used for acquiring a plurality of pieces of sales data PIS to be processed;
a processing module for processing the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 (ii) a Wherein the first target customer information C 11 For indicating at least one non-qualifying client of a number of target clients for a first campaign, the first target client information C 11 The method comprises the following steps: an identity AY of the first activity 1 An identification of the at least one substandard customer; each piece of sales data PIS is used for indicating the consumption information of a product corresponding to a client, and the consumption information comprises: customer identification, product identification P i Consumption type I i Consumption value V n And a time of consumption; according to a first target marketing plan list CRIA, the sales data PIS of the at least one substandard customer 11 Determining a new up-to-standard customer CCR from the at least one down-to-standard customer 1 (ii) a Wherein the first marketing plan list CRIA is used for indicating a marketing plan corresponding to the first activity that is not completed, and the first target marketing plan list CRIA comprises: an identity AY of the first activity 1 Reward Rule corresponding to the first activity 1 A first time range; reward Rule corresponding to the first activity 1 Comprises the following steps: the customer aims at the first product P within a preset time range 1 Generating a first consumption type I 1 The corresponding consumption value reaches a preset value; the newly added standard customer CCR 1 The sales data of (a) meet the reward rules corresponding to the first campaign.
8. The apparatus of claim 7, wherein the processing module is specifically configured to:
and determining that the customer identification belongs to the sales data of the at least one substandard customer identification from the plurality of pieces of sales data PIS to be processed.
9. The apparatus of claim 7, wherein the processing module is further to:
in the first target customer information C 11 Determining sales data PIS of at least one substandard customer from a plurality of pieces of sales data PIS to be processed 11 Previously, from several target customer information C for the first campaign 1 Excluding the second target customer information C 12 Obtaining the first target customer information C 11 Wherein said second target customer information C 12 Information of one or more target customers that have reached the standard.
10. The apparatus of claim 7, wherein the processing module is further to:
sales data PIS of the at least one substandard customer according to the first target marketing plan list CRIA 11 Determining new standard customer CCR from the at least one target customer 1 Previously, determining a plan list matched with the product identifier and the consumption time in the sales data PIS from an unprocessed plan list CRIC to obtain a first target marketing plan list CRIA; wherein the unprocessed plan list CRIC is used to indicate an incomplete marketing plan corresponding to the first campaign, the unprocessed plan list CRIC including: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A second time range, wherein the first time range is within the second time range.
11. The apparatus of claim 7, wherein the processing module is further to:
excluding a processed program list CRIB from an initial marketing program list CRI to obtain the unprocessed program list CRIC before determining a program list matching the product identification and the consumption time in the pieces of sales data PIS from the unprocessed program list CRIC, wherein the initial marketing program list CRI is used for indicating the corresponding first activityAll marketing plans of (a); the initial marketing plan list CRI comprises: an identity AY of the first activity 1 The reward Rule corresponding to the first activity 1 A third time range;
the processed program list CRIB is used for indicating a completed marketing program corresponding to the first activity, and the processed program list CRIB comprises: identity AY of the first activity 1 Reward Rule corresponding to the first activity 1 A fourth time range; wherein the fourth time range and the second time range are both within the third time range and the fourth time range precedes the second time range.
12. The apparatus of any of claims 7-11, wherein the processing module is further to:
the processing module is used for processing the sales data PIS of the at least one substandard customer according to a first target marketing plan list CRIA 11 Determining new standard clients CCR from the at least one target client 1 Then, updating the processed plan list CRIB according to the first target marketing plan list CRIA; and/or according to the newly added standard customer CCR 1 Updating the second target customer information C 12 。
13. An electronic device, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor, a communication interface;
wherein the memory stores instructions executable by the at least one processor, the at least one processor causing the electronic device to perform the method of any of claims 1-6 through the communication interface by executing the instructions stored by the memory.
14. A computer-readable storage medium having stored thereon computer instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1-6.
15. A computer program product, the computer program product comprising: computer program code which, when run on a computer, causes the computer to perform the method of any of the preceding claims 1-6.
CN202211051738.1A 2022-08-31 2022-08-31 Data processing method, device, equipment and medium Pending CN115409556A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211051738.1A CN115409556A (en) 2022-08-31 2022-08-31 Data processing method, device, equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211051738.1A CN115409556A (en) 2022-08-31 2022-08-31 Data processing method, device, equipment and medium

Publications (1)

Publication Number Publication Date
CN115409556A true CN115409556A (en) 2022-11-29

Family

ID=84164178

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211051738.1A Pending CN115409556A (en) 2022-08-31 2022-08-31 Data processing method, device, equipment and medium

Country Status (1)

Country Link
CN (1) CN115409556A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110202402A1 (en) * 2001-08-22 2011-08-18 Moneris Solutions Corporation Marketing systems and methods
CN106934646A (en) * 2015-12-31 2017-07-07 阿里巴巴集团控股有限公司 The method and apparatus that electronic coupons are delivered in marketing activity
WO2019037202A1 (en) * 2017-08-24 2019-02-28 平安科技（深圳）有限公司 Method and apparatus for recognising target customer, electronic device and medium
CN111681039A (en) * 2020-05-24 2020-09-18 杭州云徙科技有限公司 Global member management application system, global member management system and method
CN113570419A (en) * 2021-08-30 2021-10-29 上海通联金融服务有限公司 Method for sending red packet by combining standard model, storage medium and terminal

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110202402A1 (en) * 2001-08-22 2011-08-18 Moneris Solutions Corporation Marketing systems and methods
CN106934646A (en) * 2015-12-31 2017-07-07 阿里巴巴集团控股有限公司 The method and apparatus that electronic coupons are delivered in marketing activity
WO2019037202A1 (en) * 2017-08-24 2019-02-28 平安科技（深圳）有限公司 Method and apparatus for recognising target customer, electronic device and medium
CN111681039A (en) * 2020-05-24 2020-09-18 杭州云徙科技有限公司 Global member management application system, global member management system and method
CN113570419A (en) * 2021-08-30 2021-10-29 上海通联金融服务有限公司 Method for sending red packet by combining standard model, storage medium and terminal

Similar Documents

Publication Publication Date Title
Arráiz et al. Supplier development programs and firm performance: evidence from Chile
O'Donoghue et al. Do direct payments distort producers' decisions? An examination of the Farm Security and Rural Investment Act of 2002
US20200294033A1 (en) Automatically assigning cryptographic tokens to cryptocurrency wallet addresses via a smart contract in response to analysis of transaction data
US20200065922A1 (en) Blockchain Contracts
US20140046827A1 (en) Systems and methods for fraud detection using a cooperative data exchange
CN104866484A (en) Data processing method and device
CN110503564B (en) Security case processing method, system, equipment and storage medium based on big data
CN112085488A (en) General point account management method and system
CN107798592A (en) Calculate the method and apparatus of commission
CN110930179A (en) Task evaluation method, system, device and computer readable storage medium
CN115170294A (en) Client classification method and device and server
CN116090867A (en) Index rule generation method and device, electronic equipment and storage medium
CN114691740A (en) Method, device and equipment for determining user rights and interests and computer storage medium
CN110941761A (en) Product information recommendation method and device, electronic equipment and storage medium
CN112330373A (en) User behavior analysis method and device and computer readable storage medium
US20160260153A1 (en) Method and system for non-markov based product recommendation
Muhammad An Empirical Analysis Of Marketing Mix In The Life Insurance Industry To Purchase Decisions Of Life Insurance Products
CN115409556A (en) Data processing method, device, equipment and medium
US20150073863A1 (en) Method and System for Linking Browsing History to Proprietary Transaction Data
US20180033036A1 (en) Single and multi-tenant rule driven crediting systems and methods
US20140188941A1 (en) Using a Graph Database to Match Entities by Evaluating Boolean Expressions
US20170017978A1 (en) Computer platform for managing third party interactions and generating analytics therefore
US11321128B2 (en) System for resource allocation via an intermediate resource volume adjustment sub-system
CN111507809A (en) Method and device for recommending commodity purchasing information
US20210350259A1 (en) Data processing systems and methods to provide decision support

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination