Digital marketing platform construction method and device, equipment and storage medium

Abstract

The invention relates to the technical field of information, and discloses a digital marketing platform construction method and device, equipment and a storage medium, and the method comprises the steps: integrating data from a plurality of data sources in a preset integration environment, and obtaining integrated data; establishing an extensible data index library according to the business requirements and the integrated data, wherein the data index library defines and classifies a series of quantitative indexes according to the business requirements; developing a cross-platform adaptive HTML5 template library based on business requirements and integrated data; calling a plurality of data analysis and visualization tools; an automatic workflow is deployed, a digital marketing platform is constructed through a data index library, an HTML5 template library and a plurality of data analysis and visualization tools according to the automatic workflow, an extensible data index library is established according to business requirements, and a cross-platform adaptive HTML5 template library is developed, so that marketing activities can quickly adjust strategies according to market changes, and marketing efficiency is improved. And the flexibility and adaptability of marketing work are enhanced.

Description

Technical Field

[0001] This application relates to the field of information technology, and in particular to a method, device, equipment and storage medium for constructing a digital marketing platform. Background Art

[0002] With the acceleration of the digital transformation of enterprises, the market's demand for efficient and flexible digital operation and marketing solutions is increasing continuously. However, the existing technologies have the following deficiencies:

[0003] The metric libraries in many existing applications are too single in function and difficult to meet the construction requirements of multi-dimensional data dashboards. The types of H5 template libraries are limited and cannot quickly respond to diverse marketing scenarios. Data analysis and marketing tools are usually separated, and enterprises need to use multiple systems in actual operations, resulting in low efficiency. Summary of the Invention

[0004] The main purpose of this application is to provide a method, device, equipment and storage medium for constructing a digital marketing platform, aiming to solve the technical problems of insufficient data processing ability and lack of flexibility in marketing activities in the existing technologies.

[0005] To achieve the above purpose, this application proposes a method for constructing a digital marketing platform, and the method for constructing the digital marketing platform includes:

[0006] Integrate data from multiple data sources in a preset integration environment to obtain integrated data, where the data at least includes user behavior data, market response data, and sales performance data;

[0007] Establish an extensible data metric library according to business requirements and the integrated data, and the data metric library defines and classifies a series of quantitative metrics according to business requirements;

[0008] Develop a cross-platform adaptable HTML5 template library based on the business requirements and the integrated data;

[0009] Invoke multiple data analysis and visualization tools;

[0010] Deploy an automated workflow, and construct a digital marketing platform through the data metric library, the HTML5 template library, and multiple data analysis and visualization tools according to the automated workflow.

[0011] In one embodiment, the step of integrating data from multiple data sources in a preset integration environment to obtain integrated data includes:

[0012] Preprocess the data in a preset integration environment to obtain preprocessed data;

[0013] Calculate the preprocessed data from different sources through a data fusion algorithm to obtain a data fusion degree, where the data fusion degree F is calculated by the following formula:

[0014]

[0015] where Dcommon is the number of data points common to each data source, and Dtotal is the total number of data points of all data sources;

[0016] Map the preprocessed data into a unified data model based on the data fusion degree to obtain integrated data.

[0017] In one embodiment, the step of establishing an extensible data indicator library according to the business requirements and the integrated data includes:

[0018] Determine the core business indicators according to the business requirements and the integrated data. The core business indicators include the customer acquisition cost and the lifetime value. The customer acquisition cost is calculated by the following formula:

[0019]

[0020] where CAC is the customer acquisition cost, T is the total marketing expenditure within a certain period, and N is the number of newly acquired customers in the same period;

[0021] The lifetime value is calculated by the following formula:

[0022]

[0023] where R is the expected revenue in the t-th period, d is the discount rate, and n is the length of the prediction period;

[0024] Classify the core business indicators according to different business requirements to obtain classified business indicators;

[0025] Perform hierarchical processing on the classified business indicators to generate an extensible data indicator library.

[0026] In one embodiment, the step of performing hierarchical processing on the classified business indicators to generate an extensible data indicator library includes:

[0027] Perform hierarchical processing on the classified business indicators to obtain a hierarchical indicator system;

[0028] Generate an extensible initial data indicator library based on the hierarchical indicator system and the integrated data;

[0029] Obtain the changes in business priorities, and adjust the importance weights of the classified business indicators according to the changes in business priorities to obtain adjusted business indicators. The adjustment of the importance weights of the classified business indicators is calculated by the following formula:

[0030]

[0031] where W i is the weight of the i-th indicator at time t, α is a learning rate parameter, and ΔP i is the performance change of the classified business indicator, and P i is the benchmark performance of the classified business indicator;

[0032] Update the initial data indicator library according to the adjusted business indicators to obtain an extensible data indicator library.

[0033] In one embodiment, the method further includes:

[0034] Respond to the user's change instruction;

[0035] Adjust the indicators in the data indicator library according to the change instruction to obtain adjusted indicators. The adjustment includes position adjustment or category adjustment;

[0036] Update the data indicator library through the adjusted indicators, and generate sharing information, and share through the sharing information.

[0037] In one embodiment, the step of developing a cross-platform adaptable HTML5 template library based on the business requirements and the integrated data includes:

[0038] Extract key indicators for guiding marketing template design based on the business requirements and the integrated data;

[0039] Determine multiple marketing templates according to the key indicators;

[0040] Call a modular design tool;

[0041] Encode multiple marketing templates using the HTML5 standard through the modular design tool to obtain encoded marketing templates;

[0042] Deploy the encoded marketing templates to obtain a cross-platform adaptable HTML5 template library.

[0043] In one embodiment, the step of deploying an automated workflow and constructing a digital marketing platform through the data indicator library, the HTML5 template library, and multiple data analysis and visualization tools according to the automated workflow includes:

[0044] Deploy an automated workflow based on business logic and operation rules, where the automated workflow includes content creation, approval process, and release scheduling;

[0045] Based on the automated workflow, select target data items reflecting marketing effects from the data metric library according to business objectives and key performance indicators;

[0046] Based on the automated workflow, screen target templates that match the current marketing campaign from the HTML5 template library through marketing strategies and user portraits;

[0047] Construct a digital marketing platform according to multiple data analysis and visualization tools, the target data items, and the target templates.

[0048] In addition, to achieve the above object, the present application also proposes a device for constructing a digital marketing platform, where the device for constructing a digital marketing platform includes:

[0049] An integration module for integrating data from multiple data sources in a preset integration environment to obtain integrated data, where the data at least includes user behavior data, market response data, and sales performance data;

[0050] A establishment module for establishing an extensible data metric library according to business requirements and the integrated data, where the data metric library defines and classifies a series of quantitative metrics according to business requirements;

[0051] A development module for developing a cross-platform adaptable HTML5 template library based on the business requirements and the integrated data;

[0052] A call module for calling multiple data analysis and visualization tools;

[0053] A deployment module for deploying an automated workflow and constructing a digital marketing platform according to the automated workflow through the data metric library, the HTML5 template library, and multiple data analysis and visualization tools.

[0054] In addition, to achieve the above object, the present application also proposes a device for constructing a digital marketing platform, where the device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the digital marketing platform construction method as described above.

[0055] In addition, to achieve the above object, the present application also proposes a storage medium, where the storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, it implements the steps of the digital marketing platform construction method as described above.

[0056] In addition, to achieve the above object, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the digital marketing platform construction method described above.

[0057] One or more technical solutions proposed by the present application can effectively centralize scattered data by integrating data from multiple data sources in a preset integration environment, providing more comprehensive and accurate information support. Establishing an extensible data index library according to business requirements and developing an HTML5 template library adaptable across platforms enable marketing activities to quickly adjust strategies according to market changes, enhancing the flexibility and adaptability of marketing work. Deploying an automated workflow can reduce manual intervention, speed up process operation, and ensure the consistency and accuracy of each operation. Thus, through the combination of the index library and the marketing tool set, an efficient data analysis and promotion means is provided for enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present application and used together with the specification to explain the principles of the present application.

[0059] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0060] Figure 1 It is a schematic flowchart provided for Embodiment 1 of the digital marketing platform construction method of the present application;

[0061] Figure 2 It is a diagram showing the display of HTML5 templates on the platform in an embodiment of the digital marketing platform construction method of the present application;

[0062] Figure 3 It is a schematic flowchart provided for Embodiment 2 of the digital marketing platform construction method of the present application;

[0063] Figure 4 It is a schematic flowchart provided for Embodiment 3 of the digital marketing platform construction method of the present application;

[0064] Figure 5 It is a schematic diagram of the process of configuring a certain marketing template to generate a corresponding marketing strategy in an embodiment of the digital marketing platform construction method of the present application;

[0065] Figure 6 It is a schematic diagram of the module structure of the digital marketing platform construction device according to the embodiment of the present application;

[0066] Figure 7 This is a schematic diagram of the device structure of the hardware operating environment involved in the method for constructing a digital marketing platform in an embodiment of the present application.

[0067] The implementation, functional features, and advantages of the present application will be further described in conjunction with embodiments and with reference to the accompanying drawings. Detailed implementation manners

[0068] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0069] To better understand the technical solutions of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0070] The main solution of the embodiment of the present application is: in a preset integration environment, integrate data from multiple data sources to obtain integrated data, where the data at least includes user behavior data, market response data, and sales performance data; establish an extensible data index library according to business requirements and the integrated data, and the data index library defines and classifies a series of quantitative indicators according to business requirements; develop a cross-platform adaptable HTML5 template library based on the business requirements and the integrated data; call multiple data analysis and visualization tools; deploy an automated workflow, and construct a digital marketing platform through the data index library, the HTML5 template library, and multiple data analysis and visualization tools according to the automated workflow.

[0071] Since the function of the existing technology index library is too single, the types of indicators are insufficient, and it lacks flexible index configuration and customization capabilities, it is difficult to meet the construction requirements of multi-dimensional data dashboards. Moreover, the H5 template library is updated slowly, unable to meet the rapidly iterative marketing requirements, and lacks interactive functions, making it difficult to attract user participation.

[0072] The present application provides a solution, which supports the construction of multi-dimensional data dashboards by constructing a flexible and extensible index library, improves the enterprise's data analysis ability, and realizes flexible marketing activity planning and execution through the H5 template library.

[0073] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a digital marketing platform construction device, etc. that can implement the above functions. Hereinafter, the digital marketing platform construction device will be used as an example to illustrate this embodiment and the following embodiments.

[0074] Based on this, the embodiment of the present application provides a method for constructing a digital marketing platform, with reference to Figure 1 ,Figure 1 This is a schematic flowchart of the first embodiment of the method for constructing a digital marketing platform of the present application.

[0075] In this embodiment, the method for constructing the digital marketing platform includes steps S10 to S50:

[0076] Step S10: Integrate data from multiple data sources in a preset integration environment to obtain integrated data, where the data at least includes user behavior data, market response data, and sales performance data.

[0077] It should be noted that the preset integration environment can be a unified and secure computing environment. The preset integration environment refers to a computing environment specifically designed and configured to achieve specific functions or solve specific problems. This environment can be software-defined or include hardware components, and it provides the necessary infrastructure and services for data processing, storage, transmission, and application program operation. Specifically for the preset integration environment in the method for constructing a digital marketing platform, its main purpose is to ensure that data from different sources can be effectively collected, cleaned, integrated, and support subsequent data analysis and marketing activity management.

[0078] The preset integration environment can be customized according to the specific business scenarios and technical requirements of the enterprise. The preset integration environment can be a cloud computing platform, a big data processing framework, a hybrid cloud architecture, etc.

[0079] Integrate data from different channels (such as website click records, social media interactions, offline sales points, etc.) through the preset integration environment.

[0080] In specific implementation, data refers to different types of data collected by an enterprise during its operation process. These data are crucial for understanding customer needs, evaluating the effectiveness of marketing activities, and optimizing business strategies. User behavior data refers to various information records generated when users interact with the enterprise's products or services, including but not limited to browsing history, clickstream, purchase path, usage frequency, etc.; market response data reflects the reaction degree of the target market to specific marketing activities or promotion means, and usually includes indicators such as advertisement exposure, click-through rate, conversion rate, feedback comments, etc. Sales performance data is directly related to the enterprise's revenue source and mainly includes financial and operational key performance indicators such as sales volume, sales amount, profit contribution, customer acquisition cost, and customer lifetime value.

[0081] A data fusion algorithm can be used to integrate and process the data to obtain integrated data.

[0082] In a feasible implementation manner, step S10 can include steps A11 to A13:

[0083] Step A11: Preprocess the data in a preset integration environment to obtain preprocessed data.

[0084] It should be noted that user behavior data, market response data, and sales performance data can be preprocessed. Specifically, algorithms can be used to remove data noise, fill in missing values, and perform standardization conversion to make the data suitable for subsequent analysis, thus obtaining preprocessed data.

[0085] Step A12: Calculate the preprocessed data from different sources through a data fusion algorithm to obtain a data fusion degree, where the data fusion degree F is calculated by the following formula:

[0086]

[0087] where Dcommon is the number of data points common to each data source, and Dtotal is the total number of data points of all data sources.

[0088] It can be understood that the data fusion algorithm is used to evaluate the degree of association between each data set, that is, the "data fusion degree", so as to understand whether there is a potential connection between data from different sources.

[0089] The data fusion algorithm can be algorithms such as Kalman filter, particle filter, and principal component analysis. By calculating the preprocessed data through the data fusion algorithm, specifically, the number of common data points of the preprocessed data and the total number of data points of the preprocessed data can be obtained, so as to calculate the data fusion degree through the data fusion algorithm.

[0090] Step A13: Map the preprocessed data into a unified data model based on the data fusion degree to obtain integrated data.

[0091] In a specific implementation, the preprocessed data can be mapped to one or more unified data models through the data fusion degree for subsequent in-depth analysis.

[0092] Suppose a digital marketing platform is built for an online retail enterprise, which has its own e-commerce website, mobile application, and brand accounts active on multiple mainstream social media platforms. In order to better understand customer needs and provide personalized recommendations, we need to integrate data from these three main channels.

[0093] E-commerce websites: Transaction-related data such as the most direct product browsing records, shopping cart addition actions, and final purchase details can be obtained. Mobile applications: In addition to repeating some of the interactions on the above websites, they may also contain unique information such as push notification response rates and in-app ad click-throughs. Social media: Changes in the number of followers, the number of interactions with posts (likes, comments), private message consultations, etc. are all important indicators for measuring the brand's public image. Encrypt and associate the user identity information (such as usernames, email addresses) in the three channels to ensure that even when operating on different platforms, the activity tracks of the same person can be traced;

[0094] Unify the timestamp formats of each platform to ensure that all events are arranged in the actual order of occurrence;

[0095] Use a consistent geocoding scheme to process location information, which is convenient for carrying out regional promotion activity planning;

[0096] Clean up any unreasonable or incorrect data entries, and supplement as much as possible the parts that are missing but helpful for improving the user portrait;

[0097] Finally, obtain a detailed user portrait report, which not only contains basic demographic data, but also in-depth descriptions of behavioral patterns and evaluations of brand sentiment tendencies. All of these will provide solid data support for the subsequent precision marketing strategies.

[0098] Step S20: Establish an extensible data indicator library according to business requirements and the integrated data. The data indicator library defines and classifies a series of quantitative indicators according to business requirements.

[0099] It should be noted that it is possible to clarify according to business requirements which are the most important indicators for measuring enterprise performance, such as sales growth rate, market share, etc. Business requirements refer to specific establishment requirements or indicator requirements of users, etc.

[0100] Thus, establish an extensible data indicator library according to business requirements and the integrated data. The data indicator library supports a dynamically updated indicator management system and realizes the rapid processing and display of multi-dimensional data through intelligent algorithms.

[0101] In specific implementation, when constructing the data indicator library, visual display can also be carried out, and the construction process or analysis process is displayed through an intuitive interface, thereby improving the display effect.

[0102] Step S30: Develop a cross-platform adaptable HTML5 template library based on the business requirements and the integrated data.

[0103] It should be understood that an HTML5 template library adapted across platforms can be developed according to business requirements and integrated data. First, determine the target platforms (such as PC browsers, mobile browsers, iOS / Android native applications, etc.) to ensure that the templates can run well on these platforms.

[0104] Understand the main usage scenarios of users based on the integrated data, such as whether they are more inclined to access through mobile devices or desktop computers. Clearly define the types of content to be displayed, such as text, pictures, videos, etc., in order to select appropriate layouts and interaction methods for different types of media.

[0105] Then select appropriate frameworks and tools. By choosing a technology stack suitable for building HTML5 templates, such as front-end frameworks like React, Vue.js, or Angular, or directly using the pure HTML+CSS+JavaScript approach. Build a general HTML5 template framework, including basic parts such as the header, navigation bar, main content area, footer, etc., and generate multiple HTML5 templates according to business requirements and integrated data, and fill the multiple HTML5 templates into the built HTML5 template framework to form an HTML5 template library.

[0106] As Figure 2 shown, Figure 2 is a display diagram of HTML5 templates on the platform, including default templates, home page direct recharge style templates, templates highlighting device information, and home page direct recharge template packages highlighting packages, etc.

[0107] Step S40: Invoke multiple data analysis and visualization tools.

[0108] Invoking multiple data analysis and visualization tools usually involves selecting suitable tools, understanding their respective API interfaces, and writing corresponding code according to specific requirements to achieve data interaction and display. For example, tools such as Python, R language tools, SAS platform, SPSS software, etc.

[0109] Step S50: Deploy an automated workflow, and build a digital marketing platform according to the automated workflow through the data metric library, the HTML5 template library, and multiple data analysis and visualization tools.

[0110] In specific implementation, the automated workflow can use a CI / CD pipeline to establish a continuous integration and continuous deployment pipeline to ensure that code changes can be quickly and securely pushed to the production environment, and use cron jobs or more advanced task schedulers (such as Apache Airflow) to schedule regular data scraping, processing, and report generation tasks.

[0111] It is understandable that the data indicator library, HTML5 template library and multiple data analysis and visualization tools can be deployed according to a determined automated workflow to build a digital marketing platform.

[0112] Suppose you are building a digital marketing platform for an e-commerce company. The platform needs to be able to track the performance of online advertising and provide insights to the marketing team. The details are as follows:

[0113] Use the Google Analytics API to automatically scrape daily traffic data and load it into our data warehouse.

[0114] A series of microservices are deployed using Docker containers to process data from different sources and calculate predefined key performance indicators.

[0115] Develop a set of React-based HTML5 templates that are not only beautiful but also highly configurable, supporting marketing team members to upload their own logos and color schemes.

[0116] Integrate Tableau Server as a BI portal for internal users, where they can access the latest sales trends, customer behavior patterns, and other information.

[0117] Configure Airflow to manage all background tasks, such as performing data synchronization every hour and generating a detailed market performance summary to be sent to management every week. In this way, the independent parts can be effectively combined to form a coherent and efficient digital marketing solution.

[0118] In a feasible implementation, step S50 may include steps S501 to S504:

[0119] Step S501: Based on business logic and operation rules, deploy an automated workflow, which includes content creation, approval process, and release scheduling.

[0120] It should be noted that the business logic details the entire business process of content creation, approval process, and release scheduling, and clarifies the specific tasks, responsible persons, input and output of each link. For example, the content creation link needs to clarify the type, format, source and other requirements of the content. The approval process must clarify the authority and approval standards of reviewers at all levels. The release scheduling must clarify the release time, release channel, etc.

[0121] Operation rules are formulated based on business objectives and actual conditions. Operation rules include content quality standards, approval time requirements, release frequency, etc. These rules will serve as the basis for the execution of automated workflows to ensure the standardization and effectiveness of the workflows.

[0122] The automated workflow includes content creation, approval processes, and release scheduling. Based on the sorted business processes and operation rules, a detailed workflow diagram is drawn to clearly show the steps of content creation, approval processes, and release scheduling, as well as the transfer relationships between them, including logical relationships such as conditional branches and loops.

[0123] Step S502: Based on the automated workflow, select target data items that reflect marketing effectiveness from the data indicator library according to business goals and key performance indicators.

[0124] In specific implementations, specific marketing goals can be defined, such as increasing brand awareness, boosting product sales, and enhancing customer satisfaction. These goals should follow the SMART principle, that is, being specific, measurable, achievable, relevant, and time-bound.

[0125] Consider raising key performance questions, such as "How can I better promote my product portfolio?" The answers to these questions will provide useful KPI information. Key performance indicators are KPI indicators.

[0126] The most suitable target data items that can reflect marketing effectiveness can be screened from the data indicator library according to specific business goals and key performance indicators.

[0127] For example, data items can be selected according to the conversion rate. The conversion rate is a direct indicator for measuring the effectiveness of marketing activities, and the calculation formula is:

[0128] Conversion Rate = (Number of customers who completed the desired action / Total number of customers contacted) × 100%

[0129] Target data items are directly screened through the conversion rate.

[0130] Step S503: Based on the automated workflow, screen target templates that meet the current marketing campaign from the HTML5 template library through marketing strategies and user portraits.

[0131] In specific implementations, marketing strategies and user portraits can be defined by determining the goals, themes, styles, and tones of the current marketing campaign. For example, if the goal is to increase brand awareness, the theme may be "Innovation and the Future", and the style may be modern and technology-intensive, thus obtaining the marketing strategy.

[0132] Define the basic characteristics of the target users, such as age, gender, interests, behavior habits, etc. For example, the target users may be technology enthusiasts aged 25 - 35 who like highly interactive content, thus obtaining the user portrait.

[0133] Specifically, you can browse the established HTML5 template library, filter by keywords: use keywords such as "marketing activities", "activity promotion", "tech feel", etc. for filtering, and preview the templates online to view their design styles, functions, and responsive effects. For example, the Prompt template provides online previews of 10 fully functional marketing HTML5 templates. At the same time, based on the user profile, select the template that matches the interests and behavioral habits of the target users. For example, if the target users like highly interactive content, select the template that contains interactive elements to finally obtain the target template that meets the current marketing activities.

[0134] Step S504: Build a digital marketing platform based on the multiple data analysis and visualization tools, the target data items, and the target template.

[0135] In specific implementation, appropriate data analysis and visualization tools can be selected, and multiple data analysis and visualization tools can also be directly deployed to the platform, and the target data items and the target template can be deployed to the platform to build a digital marketing platform.

[0136] Through a unified data analysis tool, enterprise users can achieve an application closed-loop from target data analysis to target user marketing to marketing result tracking around the capabilities of the platform.

[0137] The data analysis and visualization tools are specifically marketing tools, including but not limited to: automatic hidden packages, multi-tiered first-time deposits, rate management, coupon activities, balance deposits, automatic balance renewal, complaint management, docking with ERP, order grabbing hall, comprehensive query, after-sales registration, personalized settings, e-invoice docking, etc. Each marketing tool is an independent application and can independently complete the business closed-loop of a marketing scenario. It can be used flexibly and can also be deactivated flexibly.

[0138] This embodiment provides a method for constructing a digital marketing platform. In a preset integration environment, data from multiple data sources is integrated to obtain integrated data, which at least includes user behavior data, market response data, and sales performance data. A scalable data indicator library is established according to business requirements and the integrated data, and the data indicator library defines and classifies a series of quantitative indicators according to business requirements. An HTML5 template library adapted to cross-platforms is developed based on the business requirements and the integrated data. Multiple data analysis and visualization tools are called. An automated workflow is deployed, and a digital marketing platform is constructed through the data indicator library, the HTML5 template library, and the multiple data analysis and visualization tools according to the automated workflow. By integrating data from multiple data sources in a preset integration environment, scattered data can be effectively centralized to provide more comprehensive and accurate information support. Establishing a scalable data indicator library and developing an HTML5 template library adapted to cross-platforms according to business requirements enable marketing activities to quickly adjust strategies according to market changes, enhancing the flexibility and adaptability of marketing work. Deploying an automated workflow can reduce manual intervention, speed up the process operation speed, and ensure the consistency and accuracy of each operation. Thus, through the combination of the indicator library and the marketing tool set, an efficient data analysis and promotion means is provided for the enterprise.

[0139] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar content as that in the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 3 , step S20 includes steps S201 to S203:

[0140] Step S201: Determine core business indicators according to the business requirements and the integrated data, and the core business indicators include customer acquisition cost and lifetime value.

[0141] It should be noted that the core business indicators can be determined according to business requirements and integrated data. In this embodiment, the core business indicators can include customer acquisition cost and lifetime value. Customer acquisition cost refers to the average cost spent by an enterprise to acquire a new customer. This includes all marketing and sales expenses related to acquiring new customers, such as advertising expenses, market promotion expenses, salaries of salespersons, etc.

[0142] Customer lifetime value refers to the total profit brought by a customer to the enterprise during the entire transaction period with the enterprise. It takes into account factors such as the customer's purchase frequency, average order value, and customer retention time, and is a long-term and comprehensive indicator.

[0143] In this embodiment, the customer acquisition cost is calculated by the following formula:

[0144]

[0145] Among them, CAC is the customer acquisition cost, T is the total marketing expenditure within a certain period, and N is the number of newly acquired customers within the same period. Therefore, it can be obtained by acquiring the total marketing expenditure within a certain period and the number of newly acquired customers within the same period. For example, the total marketing expenditure within 3 months and the number of newly acquired customers within 3 months are counted.

[0146] The life cycle value is calculated by the following formula:

[0147]

[0148] Among them, R t is the average revenue in the t-th time period, d is the discount rate, and n is the predicted life cycle length.

[0149] It should be understood that the average collection can be statistically calculated, and both the discount rate and the predicted life cycle length can be set in advance.

[0150] Step S202: Classify the core business indicators according to different business requirements to obtain classified business indicators.

[0151] In specific implementation, the core business indicators can be classified according to different business requirements to obtain classified business indicators. For example, the business category, business definition, etc. can be determined according to different business requirements.

[0152] Business requirements may include market performance, sales efficiency, customer service, etc.

[0153] Step S203: Hierarchically process the classified business indicators to generate an extensible data indicator library.

[0154] In specific implementation, each type of classified business indicator can be hierarchically processed to form an indicator system from macro to micro. For example, the overall sales performance can be decomposed into the contribution degrees of each channel or product, so as to generate an extensible data indicator library.

[0155] The indicator library includes data analysis, such as the in-network rate, active users, and node conversion of recommended packages. It supports querying the online terminal information within a time period, facilitating the operation to quickly understand the current active situation of the terminals and formulate reasonable marketing strategies.

[0156] In a feasible implementation manner, step S203 may include steps B11 to B14:

[0157] Step B11: Hierarchically process the classified business indicators to obtain a hierarchical indicator system.

[0158] It should be noted that the stratification process can specifically involve decomposing various core indicators into multiple business indicators, and these business indicators support the achievement of core goals. Business indicators are usually considered from a business perspective and are decomposed according to business processes and key tasks. For example, if the core indicator is "annual sales", the business indicators can include "number of new customers", "average customer price", "repurchase rate", etc. The business indicators are further decomposed into operation indicators, and these operation indicators are implemented to specific business executors to measure the effectiveness of the daily work of basic business personnel. The operation indicators should be independent of each other and each be responsible, avoiding duplication. For example, for the business indicator of "number of new customers", the operation indicators can include "number of new leads per day", "lead conversion rate", "number of sales visits", etc. After the above steps, from the top layer to the bottom layer, a complete indicator system is formed. Finally, systematic sorting and integration are carried out to ensure the integrity and consistency of the indicator system. Visualization tools such as indicator decomposition trees can be used to clearly display the hierarchical relationship and influencing factors of the indicators.

[0159] Step B12: Generate an extensible initial data indicator library based on the hierarchical indicator system and the integrated data.

[0160] It should be noted that an extensible initial database can be generated according to the hierarchical indicator system and the integrated data. Specifically, the integrated data can be filled into the hierarchical indicator system to obtain different classified indicators.

[0161] Step B13: Obtain the changes in business priorities, and adjust the importance weights of the classified business indicators according to the changes in business priorities to obtain adjusted business indicators.

[0162] Among them, the adjustment of the importance weights of the classified business indicators is calculated by the following formula:

[0163]

[0164] Among them, W i is the weight of the i-th indicator at time t, α is a learning rate parameter, and ΔP i is the performance change of the classified business indicator, and P i is the benchmark performance of the classified business indicator.

[0165] It should be noted that to improve the flexibility of the indicators, the indicator weights can also be dynamically updated, so as to regularly evaluate and adjust the importance weights of each classified business indicator according to the changes in business priorities.

[0166] In a specific implementation, a learning rate parameter can be set, such as 0.3, 0.5, etc., and the performance changes of the classification service metrics can be monitored in real time. By obtaining the baseline performance of the classification service metrics and the weights at time t, the updated weights of the classification service metrics can be calculated, and the importance weights of the classification service metrics can be adjusted according to the updated weights of the classification service metrics to obtain adjusted service metrics.

[0167] Step B14: Update the initial data metric library according to the adjusted service metrics to obtain an extensible data metric library.

[0168] In a specific implementation, the metrics in the initial data metric library can be updated through the adjusted service metrics to obtain an extensible data metric library.

[0169] It should be noted that the generated data metric library can also support separate maintenance. Therefore, the permissions of each metric can be configured to enable metrics according to user requests. At the same time, the metrics can also be adjusted according to user needs. Then, the method further includes: responding to a change instruction of the user; adjusting the metrics in the data metric library according to the change instruction to obtain adjusted metrics, where the adjustment includes position adjustment or category adjustment; updating the data metric library through the adjusted metrics, and generating sharing information to share through the sharing information.

[0170] In a specific implementation, the metric library framework supports the coexistence of multiple metrics, multiple types of metrics, and multiple-size metrics. It allows users to select by themselves, and drag and drop to adjust the metric positions, enable and share the metrics. Therefore, a change instruction of the user can be obtained, and the change metric can be an adjustment metric instruction, a modify metric instruction, a delete metric instruction, etc.

[0171] By analyzing the change instruction, the specific operation can be determined, and the metrics in the data metric library can be adjusted through the specific operation to obtain adjusted metrics. The adjustment can include position adjustment, category adjustment, adjustment of whether the metric is activated, and quantity adjustment, etc. The previous data metric library is updated through the adjusted metrics to improve the response speed of the data metric library. At the same time, sharing information can also be generated according to the adjusted metrics to share the metric information, facilitating querying of online terminal information and enabling operations to quickly understand the current terminal activity situation and formulate reasonable marketing strategies.

[0172] In this embodiment, the core business metrics are determined according to the business requirements and the integrated data. The core business metrics include customer acquisition cost and lifetime value. The customer acquisition cost is calculated by the following formula: where CAC is the customer acquisition cost, T is the total marketing expenditure within a certain period, and N is the number of newly acquired customers within the same period; the lifetime value is calculated by the following formula: Wherein, R is the projected revenue in the t-th period, d is the discount rate, and n is the length of the prediction period; the core business metrics are classified according to different business requirements to obtain classified business metrics; the classified business metrics are hierarchically processed to generate an extensible data metric library. This can ensure that the data metric library not only meets the specific requirements of the current business but also has good scalability and forward-lookingness, and can effectively support the strategic planning and daily operations of the enterprise.

[0173] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar content as in the above-mentioned Embodiment 1 can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 4 , step S30 includes steps S301 to S305:

[0174] Step S301: Extract key metrics for guiding the design of marketing templates based on the business requirements and the integrated data.

[0175] It should be noted that data extraction can be performed on the business requirements and the integrated data to obtain key metrics for guiding the design of marketing templates. Data analysis tools can be used to organize and analyze the data to obtain key metrics. The number of key metrics can be multiple, and can also be customized and added according to user needs.

[0176] Step S302: Determine multiple marketing templates according to the key metrics.

[0177] In specific implementation, multiple impact templates can be determined through key metrics. Specifically, multiple sets of templates suitable for different marketing activity requirements can be determined according to the key metrics to ensure that each template is optimized for a specific type of customer group or marketing scenario.

[0178] Step S303: Invoke the modular design tool.

[0179] In specific implementation, a design tool that supports the modular design concept can be selected. This tool should have functions such as easy component combination, style adjustment, and code reuse. And configure the necessary working environment for the upcoming template development to ensure that all participants can use the selected modular design tool efficiently.

[0180] Step S304: Encode multiple of the marketing templates using the HTML5 standard through the modular design tool to obtain the encoded marketing templates.

[0181] It should be noted that the functions provided by the modular design tool can be used to customize multiple marketing templates, including but not limited to adjustments in aspects such as color schemes, font selections, and layout structures. At the same time, all marketing templates are encoded using the HTML5 standard to achieve the best cross-platform performance, and the encoded marketing templates are obtained.

[0182] Step S305: Deploy the encoded marketing template to obtain an HTML5 template library adapted across platforms.

[0183] In a specific implementation, the encoded marketing template can be deployed to a platform to obtain an HTML5 template library adapted across platforms. The HTML5 template library provides a rich H5 template library and a marketing tool set to meet the needs of diverse marketing scenarios.

[0184] In a specific implementation, after building the HTML5 template library, it can support users to implement different operation strategies according to the HTML5 template library. For example, for a certain batch of users, the customer can set a separate H5 template, and only need to configure the corresponding template for this type of user to be enabled in the background.

[0185] Such as Figure 5 shown, Figure 5 is a schematic process diagram for configuring a certain marketing template to generate a corresponding marketing strategy. By selecting the button to start or not, and selecting the billing group, device function settings, and card function checkboxes, a marketing strategy can be generated.

[0186] In this embodiment, by extracting key indicators and selecting appropriate templates, it is ensured that the marketing activities can effectively achieve business goals. Using modular design tools and HTML5 standard coding, it is ensured that the templates have good responsive design and high performance, improving the user experience. Through responsive design, it is ensured that the templates can be normally displayed and run on different devices, expanding the coverage of marketing activities. Modular design tools and standardized coding improve the development efficiency, speed up the deployment and iteration speed of the templates, and can quickly respond to market changes and user needs.

[0187] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the method for constructing the digital marketing platform of the present application. Based on this technical concept, more forms of simple transformations are within the protection scope of the present application.

[0188] The present application also provides a device for constructing a digital marketing platform. Please refer to Figure 6 , the device for constructing a digital marketing platform includes:

[0189] An integration module 10, configured to integrate data from multiple data sources in a preset integration environment to obtain integrated data, where the data at least includes user behavior data, market response data, and sales performance data.

[0190] A establishment module 20, configured to establish an extensible data index library according to business requirements and the integrated data, where the data index library defines and classifies a series of quantitative indicators according to business requirements.

[0191] A development module 30, configured to develop an HTML5 template library adapted for cross-platform based on the service requirements and the integrated data.

[0192] An invocation module 40, configured to invoke a plurality of data analysis and visualization tools.

[0193] A deployment module 50, configured to deploy an automated workflow, and construct a digital marketing platform according to the automated workflow through the data metric library, the HTML5 template library, and the plurality of data analysis and visualization tools.

[0194] The digital marketing platform construction device provided by the present application adopts the digital marketing platform construction method in the above embodiment, and can solve the technical problems of insufficient data processing capacity and lack of flexibility in marketing activities in the prior art. Compared with the prior art, the beneficial effects of the digital marketing platform construction device provided by the present application are the same as those of the digital marketing platform construction method provided by the above embodiment, and other technical features in the digital marketing platform construction device are the same as the features disclosed in the method of the above embodiment, and will not be elaborated herein.

[0195] The present application provides a digital marketing platform construction device, which 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 to enable the at least one processor to execute the digital marketing platform construction method in the first embodiment above.

[0196] Next, refer to Figure 7 , which shows a schematic structural diagram of a digital marketing platform construction device suitable for implementing the embodiments of the present application. The digital marketing platform construction device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7 The digital marketing platform construction device shown is only an example, and should not impose any limitation on the functions and usage scope of the embodiments of the present application.

[0197] As Figure 7As shown, the digital marketing platform construction device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the digital marketing platform construction device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the digital marketing platform construction device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a digital marketing platform construction device with various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems can be alternatively implemented or had.

[0198] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.

[0199] The digital marketing platform construction device provided by the present application adopts the digital marketing platform construction method in the above embodiments, and can solve the technical problems of insufficient data processing ability and lack of flexibility in marketing activities in the prior art. Compared with the prior art, the beneficial effects of the digital marketing platform construction device provided by the present application are the same as those of the digital marketing platform construction method provided by the above embodiments, and other technical features in the digital marketing platform construction device are the same as the features disclosed in the method of the previous embodiment, and will not be elaborated here.

[0200] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0201] As described above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0202] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the method for constructing a digital marketing platform in the above embodiments.

[0203] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or combined with an instruction execution system, device, or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0204] The above computer-readable storage medium can be included in the device for constructing a digital marketing platform; it can also exist separately without being assembled into the device for constructing a digital marketing platform.

[0205] The above computer-readable storage medium carries one or more programs which, when executed by a digital marketing platform construction device, cause the digital marketing platform construction device to: integrate data from multiple data sources in a preset integration environment to obtain integrated data, the data at least including user behavior data, market response data, and sales performance data; establish an extensible data indicator library according to business requirements and the integrated data, the data indicator library defining and classifying a series of quantitative indicators according to business requirements; develop a cross-platform adaptable HTML5 template library based on the business requirements and the integrated data; call multiple data analysis and visualization tools; deploy an automated workflow, and construct a digital marketing platform according to the automated workflow through the data indicator library, the HTML5 template library, and the multiple data analysis and visualization tools.

[0206] Computer program code for performing the operations of this application can be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0207] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks can occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0208] The modules involved in the embodiments of the present application can be implemented in software or in hardware. In some cases, the name of the module does not constitute a limitation on the unit itself.

[0209] The readable storage medium provided in the present application is a computer-readable storage medium, and the computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for constructing a digital marketing platform, which can solve the technical problems of insufficient data processing ability and lack of flexibility in marketing activities in the prior art. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as those of the method for constructing a digital marketing platform provided in the above embodiments, and will not be elaborated herein.

[0210] The present application also provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the method for constructing a digital marketing platform as described above are implemented.

[0211] The computer program product provided in the present application can solve the technical problems of insufficient data processing ability and lack of flexibility in marketing activities in the prior art. Compared with the prior art, the beneficial effects of the computer program product provided in the present application are the same as those of the method for constructing a digital marketing platform provided in the above embodiments, and will not be elaborated herein.

[0212] The above are only some embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structural transformation made by using the content of the specification and drawings of the present application under the technical concept of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. A method for constructing a digital marketing platform, characterized in that: The digital marketing platform construction method comprises: Integrate data from multiple data sources in a preset integration environment to obtain integrated data, wherein the data at least includes user behavior data, market response data, and sales performance data; Establishing an extensible data indicator library according to business needs and the integrated data, wherein the data indicator library defines and classifies a series of quantitative indicators according to business needs; Develop a cross-platform adaptive HTML5 template library based on the business requirements and the integrated data; Call multiple data analysis and visualization tools; Deploy an automated workflow, and build a digital marketing platform based on the automated workflow through the data indicator library, the HTML5 template library, and a plurality of the data analysis and visualization tools.

2. The method according to claim 1, characterized in that The step of integrating data from multiple data sources to obtain integrated data under the preset integration environment includes: Under a preset integrated environment, preprocessing the data to obtain preprocessed data; The pre-processed data from different sources are calculated by a data fusion algorithm to obtain a data fusion degree, wherein the data fusion degree F is calculated by the following formula: Among them, Dcommon is the number of data points shared by each data source, and Dtotal is the total number of data points from all data sources; The pre-processed data is mapped into a unified data model based on the data fusion degree to obtain integrated data.

3. The method according to claim 1, characterized in that The step of establishing an extensible data indicator library according to business requirements and the integrated data includes: Determine core business indicators based on the business needs and the integrated data. The core business indicators include customer acquisition cost and life cycle value. The customer acquisition cost is calculated by the following formula: Where CAC is the customer acquisition cost, T is the total marketing expenditure in a certain period, and N is the number of new customers acquired in the same period; The lifetime value is calculated as follows: Where R is the expected revenue in period t, d is the discount rate, and n is the length of the forecast period; Classify the core business indicators according to different business requirements to obtain classified business indicators; The classified business indicators are processed hierarchically to generate an extensible data indicator library.

4. The method according to claim 3, characterized in that The step of performing hierarchical processing on the classified business indicators to generate an extensible data indicator library comprises: hierarchical processing is performed on the classified business indicators to obtain a hierarchical indicator system; Generating an extensible initial data indicator library based on the hierarchical indicator system and the integrated data; The business focus change is obtained, and the importance weight of the classified business indicator is adjusted according to the business focus change to obtain the adjusted business indicator, wherein the importance weight of the classified business indicator is adjusted by the following formula: Among them, W i is the weight of the ith indicator at time t, α is a learning rate parameter, ΔP i is the performance change of the business indicator of the classification, P i It is the benchmark performance of the business indicator of the classification; The initial data indicator library is updated according to the adjusted business indicator to obtain an extensible data indicator library.

5. The method according to claim 4, characterized in that The method further comprises: Responding to a user's change instruction; Adjust the indicators in the data indicator library according to the change instruction to obtain adjusted indicators, wherein the adjustment includes position adjustment or category adjustment; The data indicator library is updated through the adjustment indicator, and sharing information is generated, and sharing is performed through the sharing information.

6. The method according to claim 1, characterized in that The step of developing a cross-platform adaptive HTML5 template library based on the business requirements and the integrated data includes: Extracting key indicators for guiding marketing template design based on the business needs and the integrated data; Determine a plurality of marketing templates according to the key indicators; Calling modular design tools; Encoding the plurality of marketing templates using the HTML5 standard through the modular design tool to obtain encoded marketing templates; The encoded marketing template is deployed to obtain a cross-platform compatible HTML5 template library.

7. The method according to any one of claims 1 to 6, characterized in that The step of deploying the automated workflow and building a digital marketing platform through the data indicator library, the HTML5 template library, and a plurality of the data analysis and visualization tools according to the automated workflow includes: Deploy automated workflows based on business logic and operational rules, including content creation, approval process, and publishing scheduling; Based on the automated workflow and in accordance with business objectives and key performance indicators, target data items reflecting marketing effects are selected from the data indicator library; Based on the automated workflow, through marketing strategies and user portraits, select target templates that meet the current marketing activities from the HTML5 template library; A digital marketing platform is constructed based on the plurality of data analysis and visualization tools, the target data items, and the target templates.

8. A digital marketing platform construction device, characterized in that: The device comprises: An integration module, used to integrate data from multiple data sources in a preset integration environment to obtain integrated data, wherein the data at least includes user behavior data, market response data, and sales performance data; An establishment module is used to establish an extensible data indicator library according to business requirements and the integrated data, wherein the data indicator library defines and classifies a series of quantitative indicators according to business requirements; A development module, used for developing a cross-platform adaptive HTML5 template library based on the business requirements and the integrated data; Calling module, used to call multiple data analysis and visualization tools; The deployment module is used to deploy the automated workflow and build a digital marketing platform according to the automated workflow through the data indicator library, the HTML5 template library and a plurality of the data analysis and visualization tools.

9. A digital marketing platform construction device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for constructing a digital marketing platform as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the method for constructing a digital marketing platform as described in any one of claims 1 to 7 are implemented.

Images