Digital intelligent marketing method, equipment and medium

Abstract

The invention discloses a digital intelligent marketing method and device and a medium, and relates to the field of online marketing, and the method comprises the steps: receiving a marketing activity new construction request, analyzing a marketing activity demand, and extracting a business scene of a marketing activity; determining basic index fields corresponding to the business elements, and combining the basic index fields according to the business logic relationship to obtain scenarized indexes; generating an activity model corresponding to the scenarized index, storing the activity model in a model rule table, and associating the activity model with the marketing activity so as to publish the marketing activity online; obtaining user behavior data of the marketing activity in real time, and calculating a standard reaching result of the user behavior data through the activity model; and according to the standard reaching result, judging whether the customer behavior reaches the standard or not so as to generate a standard reaching event and issue business rights and interests corresponding to the marketing activity. According to the invention, business requirements can be quickly converted into executable scenarized indexes and activity models, and efficient linkage of marketing activities and businesses is realized.

Description

Technical Field

[0001] The present application relates to the field of online marketing technologies, and particularly relates to a digital intelligent marketing method, device, and medium. Background Art

[0002] Banking business is the core carrier of financial services. With the rapid development of the Internet, it has also promoted the digital transformation of banking business. Along with the intensification of market competition, the migration of user behavior to the online side, and the diversification of customer needs, online marketing has become increasingly important for enhancing customer stickiness and business growth.

[0003] There are two different modes in traditional online marketing methods. One mode is to build a marketing platform by oneself, configure activities and associate rights and interests on the platform, and release activities through channels such as mobile APPs to attract users to participate in the activities and receive rights and interests, so as to achieve the purpose of promoting banking business; the other mode is to cooperate with third-party suppliers, release online activities through third-party platforms, and connect with banking business channels to enable customers to complete activity participation on banking business channels and achieve the marketing purpose.

[0004] However, although these two online marketing modes have achieved digital and online transformation, they separate and isolate functional modules such as activities, rights and interests, and compliance, making it difficult for activity types to be quickly linked with business, and prone to the phenomena of data islands and low efficiency, resulting in unsatisfactory marketing effects. Summary of the Invention

[0005] To solve the above problems, the present application proposes a digital intelligent marketing method, including: Receiving a marketing activity creation request, parsing the marketing activity requirements, and extracting the business scenarios of the marketing activity; the business scenarios include business elements and business logic relationships; Determining the basic index fields corresponding to the business elements, and combining the basic index fields according to the business logic relationships to obtain scenario-based indicators; Generating an activity model corresponding to the scenario-based indicators, storing the activity model in a model rule table, and associating it with the marketing activity to publish the marketing activity online; Obtaining the user behavior data of the marketing activity in real time, and calculating the compliance result of the user behavior data through the activity model; Judging whether the customer behavior is compliant according to the compliance result, so as to generate a compliance event and issue the business rights and interests corresponding to the marketing activity.

[0006] On the other hand, the present application also proposes a digital intelligent marketing device, including: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute a digital intelligent marketing method as described in the above example.

[0007] On the other hand, the present application also proposes a non-volatile computer storage medium storing computer-executable instructions, and the computer-executable instructions are configured as: a digital intelligent marketing method as described in the above example.

[0008] The digital intelligent marketing method proposed by the present application can bring the following beneficial effects: By integrating the entire process of marketing activities, business rules, and benefit distribution, the problems of scattered functional modules and isolated data in the traditional marketing model are solved. It can quickly convert business requirements into executable scenario-based metrics and activity models, realizing the efficient linkage between marketing activities and business.

[0009] By analyzing user behavior data in real time and automatically judging the compliance results, the execution efficiency and accuracy of marketing activities are significantly improved. At the same time, it supports dynamic optimization of activity effects and avoids waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The drawings described herein are used to provide a further understanding of the present application and form a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings: Figure 1 is a flowchart of a digital intelligent marketing method in an embodiment of the present application; Figure 2 is an architecture diagram of a digital intelligent marketing platform in an embodiment of the present application; Figure 3 is a flowchart of an online activity, an activity model, and a self-built benefit service in an embodiment of the present application; Figure 4 is a flowchart of a third-party activity, an activity model, and a third-party benefit service in an embodiment of the present application; Figure 5 is a schematic diagram of a digital intelligent marketing device in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0011] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments of this application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the scope of protection of this application.

[0012] The following will detail the technical solutions provided by each embodiment of this application in conjunction with the drawings.

[0013] As Figure 1 shown, an embodiment of this application provides a digital intelligent marketing method, including: S101: Receive a marketing activity creation request, analyze the marketing activity requirements, and extract the business scenarios of the marketing activity; the business scenarios include business elements and business logic relationships.

[0014] Specifically, business personnel initiate a marketing activity request through the front-end interface of the digital intelligent marketing platform, input the marketing activity requirements, and the digital intelligent marketing platform analyzes the marketing activity requirements and extracts the business scenarios of the marketing activity. The business scenarios include business elements and business logic relationships.

[0015] Among them, the marketing activity requirements include business objectives and business activity content. Based on the business objectives, the target keywords in the business activity content and the conditional relationships between the target keywords are extracted. The target keywords are set as business elements and the conditional relationships between the target keywords are set as business objective logical relationships. Through a preset business rule template, based on the business elements and business logic relationships, the business scenarios of the marketing activity are generated.

[0016] In an embodiment of this application, business personnel input marketing activity requirements through the visual interface (such as Web forms, mobile applications) of the platform management terminal. If the marketing activity requirement is "increase the scale of customer assets", then the business activity content is "complete the first deposit ≥ 10,000 yuan within 30 days after a new customer opens an account, and the number of logins in the past 7 days ≥ 5 times". Target keywords are extracted through natural language processing methods, such as "first deposit amount", "number of logins", "time difference since account opening", etc. The conditional relationships between the target keywords are such as "and = AND", "or = OR", etc.

[0017] The preset template defines the framework of the business scenario, including indicators, thresholds, logical relationships, and actions. Inject the extracted business elements and logical relationships into the template to generate executable business scenario rules.

[0018] It should be noted that the digital intelligent marketing platform architecture disclosed in this application includes a user layer, an application layer, a service layer, a data layer, and an infrastructure layer, such asFigure 2 as shown

[0019] Among them, the user layer is the user channel layer. Customers can participate in activities and claim rights and interests at the channel end. The channels include but are not limited to: mobile banking, WeChat banking, web pages, etc. In addition, the platform is connected to the Fengmi mobile terminal, and business personnel can achieve mobile office work.

[0020] The application layer consists of application components for system integration, mainly including a marketing center, a rights and interests center, a data center, a model center, basic applications, and a statistics center. The marketing center is mainly a marketing management module. When business personnel log in to the management platform and enter the activity management function, they can choose to create a new activity, complete the online activity configuration, and submit it for manual approval. After the approval is passed, it can take effect. Supplier management is a three-party supplier management module, which can maintain the three-party activity suppliers and three-party rights and interests suppliers that need to be connected. Distribution management is a rights and interests manual distribution module. Business personnel can upload customer lists by themselves or select existing customer groups for rights and interests distribution. When business personnel enter the customer group management, they can input specific tag values, save them and submit them to the background. The background calls the data calculation service, and can process customer list data in real time according to the tag rules. The rights and interests center is the platform rights and interests management module. Business personnel can create their own rights and interests, such as physical goods, loan coupons, etc., or directly synchronize the rights and interests of the three-party rights and interests platform. The created rights and interests can be used for online activity reward distribution, or directly sent to customers by uploading a whitelist or associating with a customer group. The data center is a big data calculation module. It can configure the platform data fetching interfaces, and there are two types of data fetching interfaces: online interfaces and file transfers. It can configure data cleaning rules, and configure cleaning rules for specific data. For example, for customer activity participation data, elements such as customer numbers, participated activity IDs, and participation times need to be obtained. Another example is financial transaction data, where customer numbers, transaction products, transaction amounts, transaction times, etc. need to be obtained. It can also configure data processing rules, such as processing customer account opening data, customer AUM data, and data on the increase in assets this month compared to last month. The model center is the platform model management module, which is divided into indicator management and model management. The indicators correspond to specific business scenarios, and the business scenarios are set as business indicators, such as customer account opening time, the number of consecutive days with AUM exceeding 1,000 yuan, the amount of increase in customer AUM this month compared to last month, and so on. Entering the model management, the platform activity model rules can be maintained, and various indicators can be combined into specific activity models according to certain algorithm rules. For example, if the account opening time is within 30 days and the AUM exceeds 1,000 yuan for three consecutive days, it is considered qualified. Various combinations can be designed in turn to form activity models. The maintained activity models can be associated with specific online activities as activity compliance rules. The basic applications are the platform basic application module, which provides basic application support for the platform operation. User management can manage the operating users of the platform and has functions such as adding, deleting, modifying, and querying. System management mainly includes system parameter management, data dictionary management, system organization management, etc. Permission management can configure platform roles and user permissions. Message management includes system messages and SMS messages, and can configure message templates and send SMS manually, etc. Scheduling management is the platform timed task management center, which can manually execute timed tasks and view task execution logs. Process management integrates the Activity process engine and can flexibly configure various approval processes of the platform.The statistical center is a statistical module for various business data on the platform, including data such as activity effect statistics, rights and interests distribution statistics, and customer rights and interests statistics, which can support data viewing and export. Business personnel can analyze the marketing effect based on the data statistics results and then adjust the marketing plan.

[0021] The service layer provides various service supports for the platform, mainly including user authentication service, rights and interests distribution service, message push service, data calculation service, and intelligent model service. The user authentication service provides services such as user login and obtaining login information; the rights and interests distribution service is used to distribute activity rights and interests to customers; the message push service is used for the platform to send SMS messages; the data calculation service provides data calculation support for the platform, including data acquisition, data cleaning, and data processing; the intelligent model service is used for platform model calculation, matching and verifying model rules according to customer indicator data, and obtaining customer activity compliance results.

[0022] The data layer provides data calculation support for the platform. The platform obtains user raw data through API interfaces or file transfer and other methods, and then processes it into customer indicator data and customer list data according to the configured data cleaning rules and data processing rules. The customer indicator data is continued to be provided to the intelligent model, and the intelligent model performs certain calculations based on the model rules and customer indicator data to obtain customer compliance result data, which can be used for platform rights and interests distribution. In addition, the customer list data is the processed customer group data.

[0023] The platform infrastructure includes: relational database clusters, cache clusters, message queues, and other various business systems.

[0024] S102: Determine the basic indicator fields corresponding to the business elements, and combine the basic indicator fields according to the business logic relationship to obtain scenario-based indicators.

[0025] Specifically, match the extracted keywords to the predefined business indicator library to obtain the basic indicator fields, match the target implementation logic expression corresponding to the business goal through the rule engine, and combine the basic indicator fields through the target implementation logic expression to generate composite indicators. Combine the basic indicator fields and composite indicators according to the business logic relationship to obtain scenario-based indicators.

[0026] Among them, the rule engine is used to manage and execute business rules, allowing users to define rules and capable of matching logical expressions corresponding to business objectives. The basic metric fields are basic data points directly extracted from the original data, such as the customer AUM value, the number of transactions, etc. Composite metrics are advanced metrics generated by combining or calculating basic metrics, such as "number of consecutive days with AUM meeting the standard" or "asset growth rate". Scenario-based metrics are specific business scenario rules formed by combining basic metrics and composite metrics according to business logic, such as "the first deposit of new customers meets the standard and the number of logins meets the standard".

[0027] For example, receive a business objective, such as "increase the retention rate of high-net-worth customers", extract core elements through natural language processing or preset templates, such as "AUM ≥ 500,000" and "no asset loss in the past 90 days". The rule engine converts the business objective into an executable logical expression, such as the logical expression: IF customer AUM ≥ 500,000 AND the asset loss rate in the past 90 days ≤ 0% THEN meet the standard. The basic metric fields are the customer AUM value, the account opening time, and the amount of each transaction. According to the logical expression, statistical or computational operations are performed on the basic metric fields, including time-series calculations: such as "number of consecutive days with AUM meeting the standard" = count the number of days when the customer's AUM continuously exceeds the threshold; aggregation calculations: such as "total transaction amount in the past 30 days" = sum the transaction amounts of the customer within the time window; conditional judgments: such as "is it a new customer" = IF the account opening time ≤ 30 days THEN yes ELSE no.

[0028] Combine the basic metrics and composite metrics according to business requirements (AND / OR relationship) to obtain scenario-based metrics, such as: the account opening time ≤ 30 days AND the amount of the first deposit ≥ 10,000 yuan AND the number of logins in the past 7 days ≥ 5 times.

[0029] S103: Generate an activity model corresponding to the scenario-based metric, store the activity model in the model rule table, and associate it with the marketing activity to publish the marketing activity online.

[0030] Specifically, according to the scenario-based metric, generate a target activity rule, convert the scenario-based metric into a computer-executable logical rule, and the rule format is usually structured data, including metrics, thresholds, logical relationships, etc.

[0031] Further, verify whether the target activity rule has logical conflicts based on preset static rules, including direct contradictions and implicit contradictions. Tools (such as Drools) can be used to automatically detect rule conflicts. When the target activity rule has logical conflicts, mark the target activity rule as invalid and notify the business personnel for adjustment; when the target activity rule has no logical conflicts, generate all combination expressions of the basic index fields, permute and combine the values of each basic index, and calculate the coverage of the target activity rule based on the target implementation logic expression and all combination expressions, that is, the proportion of valid combinations to the total combinations, and determine whether the coverage is higher than the preset threshold.

[0032] When the coverage is higher than the preset threshold, store the target activity rule in the database of the data layer, build the corresponding activity model based on the target activity rule, bind the activity model to the marketing activity, and publish the marketing activity online through the digital intelligent marketing platform. When the coverage is not higher than the preset threshold, mark the target activity rule as invalid and notify the business personnel for adjustment.

[0033] S104: Real-time obtain the user behavior data of the marketing activity, and calculate the compliance result of the user behavior data through the activity model.

[0034] Specifically, real-time obtain the user behavior data of the marketing activity through the digital intelligent marketing platform, such as transaction records, login logs, asset changes, etc. Clean the user behavior data based on predefined cleaning rules, delete invalid behavior data, convert the cleaned user behavior data into a structured format, and store it in the original behavior data table. Extract the corresponding index values from the user behavior data according to the scenario-based index, and add the user index data to the data layer based on the conversion timestamp. For example, if the user behavior data is: "Customer A completed a deposit of 5000 yuan on October 1, 2023", the index value is: "The amount of the first deposit = 5000 yuan".

[0035] Further, real-time read the user index data from the data layer, input the user index data into the activity model, perform compliance judgment on the user index data through the target activity rule, match the rule conditions for the index data of each user, and obtain the corresponding compliance result. The compliance result includes the compliance status, conversion timestamp, user ID, and compliance benefit type. The compliance status includes True (compliant) and False (non-compliant).

[0036] S105: According to the compliance result, judge whether the customer behavior is compliant to generate a compliance event and issue the business benefits corresponding to the marketing activity.

[0037] Specifically, determine whether the compliance status is true. If so, determine that the compliance event is triggered, and according to the type of compliance rights and interests, determine the corresponding rights and interests center interface. The rights and interests center interface includes a self-built rights and interests interface and a third-party rights and interests interface. Call the rights and interests center interface to distribute the rights and interests services corresponding to the compliance rights and interests type to the account corresponding to the user ID, and return the rights and interests distribution result to the rights and interests distribution log table for recording.

[0038] Furthermore, based on a preset time period, regularly obtain the rights and interests usage data of the marketing activity, generate an activity effect log table. The activity effect log table includes fields such as participation rate, compliance rate, and rights and interests write-off rate. According to the activity effect log table, optimize the activity model, and synchronize the optimized target activity rules to the model rule table.

[0039] In the embodiments of this application, there are two business processes, namely online activities, activity models, self-built rights and interests business, and third-party activities, activity models, third-party rights and interests business.

[0040] Among them, the business process of online activities, activity models, and self-built rights and interests business is as Figure 3 shown. The focus of this business is on business promotion. When a customer completes a specified business, corresponding rights and interests are distributed to the customer. For example, for wealth-related businesses to promote product purchases, the product purchase amount can be used as an indicator, and the amount can be divided into multiple levels. Different levels correspond to different rights and interests. Then, add some restrictive indicators as limiting conditions, such as whether it is the first purchase, the reward limit, etc., to form an activity model. Associate the activity model with the online activity, and finally publish the activity to the offline channels.

[0041] The process steps include: business personnel log in to the platform management end, enter the model management function, select the corresponding indicators according to the needs of this activity for combination configuration, save and submit after completing the configuration; enter the rights management function, click Create Rights, save and submit for review after configuration is completed, and it will take effect after passing the review; enter the activity management function, click Create Marketing Activity, configure the basic information of the activity (activity title, time, display picture, etc.), associate the activity model, select the corresponding rights, save and submit to the approval personnel for approval; after approval, it can be displayed on the channel end, and at this time, you can promote the activity and invite customers to participate in the activity; customers invite customers through friends or channel visits After learning about the activity and participating in it through methods such as asking, the customer enters the product purchase page (which can also be other business operation pages) according to the guidance operation or jump link configured in the activity, and completes the product purchase; the platform automatically starts the data calculation service at the end of the day, obtains the customer's purchase data through the data acquisition interface or data file, and obtains the customer's indicator data after processing by the cleaning rules and processing rules; the platform automatically starts the intelligent model based on the customer's indicator data to make a compliance judgment, and obtains the customer's compliance data after matching and verifying the model rules; finally, the platform distributes rights and interests based on the compliance data. After the distribution is completed, the customer can view his or her rights and interests on the channel side.

[0042] The business processes of tripartite activities, activity models, and tripartite equity business are as follows: Figure 4 As shown, the business can directly use the more mature activities of the third-party platform for business promotion. The third-party platform generally has its own core marketing plan and richer activities. Compared with self-built activities, it has the advantages of fast implementation and low cost. Directly using the mature activity plans of the third party can better guarantee the marketing effect. At the same time, the compliance rules are calculated by the bank itself, which can also ensure that customer data is not leaked.

[0043] The process steps include: business personnel log in to the platform management terminal, enter the model management function, select corresponding indicators for combined configuration according to the needs of this activity, and save and submit after completion; enter the supplier management function, maintain the third-party suppliers to be connected, and synchronize the existing marketing activities or rights and interests on the third-party platform; enter the rights and interests management function, click to create a new third-party right and interest, select the associated third-party supplier and supplier rights and interests, save and submit for review after configuration, and it can take effect after passing the review; enter the activity management function, click to create a new marketing activity, configure the basic activity information (activity title, time, display picture, etc.), select the third-party suppliers and supplier activities to be associated, associate the activity model, select the corresponding rights and interests (the rights and interests supplier should be consistent with the activity supplier), save and submit to the approver for approval; after passing the approval, it can be displayed on the channel side, and at this time, the activity can be publicized to invite customers to participate in the activity; customers log in and access the channel side such as the mobile banking, click on the activity details and will jump to the third-party platform activity page, and then complete the corresponding compliance operations according to the activity rules by themselves, such as AUM asset improvement; the platform automatically starts the data calculation service at the end of the day, obtains customer business data through data extraction interfaces or data files, etc., and obtains customer indicator data after processing by cleaning rules and processing rules; the platform automatically starts the intelligent model according to the customer indicator data for compliance judgment, and obtains the customer's compliance data after model rule matching and verification; when the customer accesses the third-party activity details page, the third-party platform will call the API interface integrated by the intelligent marketing platform to query the customer's compliance situation, and distribute rights and interests to the customer according to the returned compliance results.

[0044] This application solves the problems of scattered functional modules and isolated data in the traditional marketing model by integrating the whole process of marketing activities, business rules and rights and interests distribution. It can quickly transform business requirements into executable scenario-based indicators and activity models, realizing the efficient linkage between marketing activities and business; by analyzing user behavior data in real time and automatically judging the compliance results, it significantly improves the execution efficiency and accuracy of marketing activities, and at the same time supports dynamic optimization of activity effects to avoid waste of resources.

[0045] As Figure 5 shown, the embodiment of this application also proposes a digital intelligent marketing device, including: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a digital intelligent marketing method as described in any one of the above embodiments.

[0046] The embodiments of the present application also provide a non-volatile computer storage medium storing computer-executable instructions, and the computer-executable instructions are configured to be a digital intelligent marketing method described in any one of the above embodiments.

[0047] The various embodiments in the present application are all described in a progressive manner. For the same or similar parts among the various embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the device and the medium, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, reference can be made to the partial description of the method embodiments.

[0048] The device and the medium provided by the embodiments of the present application correspond one by one to the method. Therefore, the device and the medium also have beneficial technical effects similar to those of the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the device and the medium will not be elaborated here.

[0049] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can 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.

[0050] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0051] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including an instruction device, and the instruction device implements the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0052] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 steps of the functions specified in one block or multiple blocks.

[0053] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0054] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

[0055] Computer-readable media includes permanent and non-permanent, removable and non-removable media and can be implemented by any method or technology for information storage. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0056] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising one..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the said element.

[0057] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A digital intelligent marketing method, characterized in that, It includes: Receiving a new marketing activity request, parsing the marketing activity requirements, and extracting the business scenarios of the marketing activity; the business scenarios include business elements and business logic relationships; Determining the basic indicator fields corresponding to the business elements, and combining the basic indicator fields according to the business logic relationship to obtain scenario-based indicators; Generating an activity model corresponding to the scenario-based indicators, storing the activity model in a model rule table, and associating it with the marketing activity to publish the marketing activity online; Obtaining the user behavior data of the marketing activity in real time, and calculating the compliance result of the user behavior data through the activity model; Judging whether the customer behavior meets the standard according to the compliance result, generating a compliance event and granting the business rights and interests corresponding to the marketing activity.

2. The digital intelligent marketing method according to claim 1, characterized in that The parsing of the marketing activity requirements and the extraction of the business scenarios of the marketing activity specifically include: Obtaining marketing activity requirements; the marketing activity requirements include business objectives and business activity content; Based on the business objectives, extracting the target keywords in the business activity content and the conditional relationships between the target keywords; Setting the target keywords as business elements and the conditional relationships between the target keywords as business objective logical relationships; Generating the business scenario of the marketing activity based on the business elements and the business logic relationship through a preset business rule template.

3. A digital intelligent marketing method according to claim 2, characterized in that, The combining of the basic indicator fields according to the business logic relationship to obtain scenario-based indicators specifically includes: Matching the target implementation logic expression corresponding to the business objective through a rule engine; Combining the basic indicator fields through the target implementation logic expression to generate composite indicators; Combining the basic indicator fields and the composite indicators according to the business logic relationship to obtain scenario-based indicators.

4. A digital intelligent marketing method according to claim 3, characterized in that, The generating of the activity model corresponding to the scenario-based indicators specifically includes: Generating target activity rules according to the scenario-based indicators; Based on a preset static rule, verifying whether there are logical conflicts in the target activity rules; If not, generating all combination expressions of the basic indicator fields, calculating the coverage of the target activity rules based on the target implementation logic expression and all combination expressions, and judging whether the coverage is higher than a preset threshold; If so, constructing a corresponding activity model based on the target activity rules.

5. A digital intelligent marketing method according to claim 4, characterized in that, The calculating of the compliance result of the user behavior data through the activity model specifically includes: According to the scenario-based indicators, converting the user behavior data into corresponding user indicator data in real time, and adding the user indicator data to the data layer based on the conversion timestamp; Inputting the user indicator data into the activity model, and judging the compliance of the user indicator data through the target activity rules to obtain the corresponding compliance result; The compliance result includes a compliance status, the conversion timestamp, a user ID, and a compliance right type.

6. A digital intelligent marketing method according to claim 5, characterized in that, The judging of whether the customer behavior meets the standard according to the compliance result specifically includes: Determining whether the compliance status is true; If so, determining to trigger a compliance event; Determine the corresponding rights and interests center interface according to the qualified rights and interests type; the rights and interests center interface includes a self-built rights and interests interface and a third-party rights and interests interface; Invoke the rights and interests center interface, distribute the rights and interests services corresponding to the qualified rights and interests type to the account corresponding to the user ID, and return the rights and interests distribution result to the rights and interests distribution log table for recording.

7. A digital intelligent marketing method according to claim 4, characterized in that After determining whether the customer behavior is qualified according to the qualified result to generate a qualified event and distribute the business rights and interests corresponding to the marketing activity, the method further includes: Regularly obtain the rights and interests usage data of the marketing activity based on a preset time period, and generate an activity effect log table; the activity effect log table includes a participation rate field, a qualification rate field, and a rights and interests cancellation rate field; Optimize the activity model according to the activity effect log table, and synchronize the optimized target activity rules to the model rule table.

8. A digital intelligent marketing method according to claim 1, characterized in that After obtaining the user behavior data of the marketing activity in real time, the method further includes: Clean the user behavior data based on predefined cleaning rules, and delete invalid behavior data; Convert the cleaned user behavior data into a structured format and store it in the original behavior data table.

9. A digital intelligent marketing device, characterized in that, Includes: At least one processor; And, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a digital intelligent marketing method according to any one of claims 1 to 8.

10. A non-volatile computer storage medium stores computer-executable instructions, characterized in that, The computer-executable instructions are set to implement a digital intelligent marketing method according to any one of claims 1 to 8.

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