CN113610572A - Marketing strategy optimization method and device and electronic equipment - Google Patents
Marketing strategy optimization method and device and electronic equipment Download PDFInfo
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- CN113610572A CN113610572A CN202110889201.1A CN202110889201A CN113610572A CN 113610572 A CN113610572 A CN 113610572A CN 202110889201 A CN202110889201 A CN 202110889201A CN 113610572 A CN113610572 A CN 113610572A
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Abstract
The embodiment of the specification discloses a marketing strategy optimization method and device and electronic equipment. The method comprises the following steps: and acquiring marketing data, wherein the marketing data comprises data feedback of the ongoing marketing campaign, historical marketing campaign data and marketing campaign peripheral real-time data, inputting the marketing data into at least one marketing strategy model to generate at least one marketing service control label, and optimizing parameters of the marketing campaign according to the marketing service control label. According to the method and the system, the timeliness of the marketing strategy can be improved, and the marketing strategy model is not limited by manual experience due to the fact that marketing data are rich, and the accuracy of the marketing strategy can be improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for optimizing a marketing strategy.
Background
The marketing strategy is that an enterprise takes the customer requirement as a starting point, obtains the information of the customer demand and purchasing power and the expected value of the business industry according to experience, and systematically organizes various business activities. Marketing strategies include product strategies, price strategies, channel strategies, and promotional strategies, a process that achieves business goals by providing satisfactory goods and services to customers. The price strategy mainly refers to the pricing of products, mainly considers cost, market, competition and the like, and enterprises price the products according to the conditions; the product strategy mainly refers to the packaging, design, color, style, trademark and the like of the product, and gives the product characteristics, so that the product has a deep impression in the mind of consumers; the channel policy refers to what channel the enterprise chooses to circulate the product to the customer. The system has a plurality of channels such as direct marketing and indirect channels (distribution, agency and the like), and enterprises can select different channels according to different conditions; the promotion strategy mainly means that enterprises adopt certain promotion means to achieve the purposes of selling products and increasing sales volume. Marketing means have a plurality of modes such as discount, cash back, lottery draw, free experience and the like. The existing marketing strategy making process needs operators to participate in a large amount of operations, such as gathering, adjusting and calculating, and finally makes a marketing scheme, the process of making the marketing scheme is delayed due to hysteresis of activity data obtained by the operators, and the marketing scheme made by the operators through experience is not accurate enough, so that the marketing effect is poor, and the benefit of enterprises is influenced.
Disclosure of Invention
The embodiment of the specification provides a marketing strategy optimization method, a marketing strategy optimization device and electronic equipment, and is used for solving the following technical problems: the existing marketing strategy making process needs operators to make a marketing scheme, and the problems that the process of making the marketing scheme is lagged and the accuracy of the made marketing scheme is low exist.
In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:
the marketing strategy optimization method provided by the embodiment of the specification comprises the following steps:
acquiring marketing data, wherein the marketing data comprises data feedback of a marketing campaign in progress, historical marketing campaign data and marketing campaign peripheral real-time data;
inputting the marketing data into at least one marketing strategy model to generate at least one marketing service management and control label;
and optimizing parameters of the marketing campaign according to the marketing business management and control label.
Optionally, the method further comprises:
optimizing the ongoing marketing campaign according to the optimized parameters of the marketing campaign;
and throwing the optimized ongoing marketing campaign to a feedback party and a related party for data feedback of the ongoing marketing campaign.
Optionally, the at least one marketing strategy model comprises:
a BPR algorithm based marketing strategy model, and/or an ALS algorithm based marketing strategy model.
Optionally, the at least one marketing-service-management tag includes:
at least one of a consumer rating label, a people profile label, a merchant profile label, a regional recommendation label, and a netpage TOP label.
Optionally, after the marketing data is input into at least one marketing strategy model to generate at least one marketing service management and control tag, the method further includes:
and inputting the at least one marketing service management and control label into a multifunctional data warehouse for data processing and data storage.
Optionally, the data processing comprises;
classifying at least one marketing service control label through data cleaning, data analysis of service dimensions and data archiving and summarizing operations, wherein the obtained classification result comprises at least one of high-quality data, transition data and gray data;
the high-quality data is used for real-time business analysis;
the transition data is used for cache destaging processing;
the grayscale data is used for discarding the temporary suspension.
Optionally, the data store comprises:
and respectively inputting the high-quality data, the transition data and the gray data into a business analysis database, a cache database and a big data storage database for storage.
Optionally, the parameters of the marketing campaign include:
one or more of a marketing price, a marketing territory, a marketing circle, and a marketing crowd.
An embodiment of this specification provides a marketing strategy optimizing apparatus, including:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring marketing data, and the marketing data comprises data feedback of a marketing activity in progress, historical marketing activity data and real-time data around the marketing activity;
the generating module is used for inputting the marketing data into at least one marketing strategy model to generate at least one marketing business control label;
and the optimization module is used for optimizing parameters of the marketing activities according to the marketing service control labels.
An embodiment of the present specification provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring marketing data, wherein the marketing data comprises data feedback of a marketing campaign in progress, historical marketing campaign data and marketing campaign peripheral real-time data;
inputting the marketing data into at least one marketing strategy model to generate at least one marketing service management and control label;
and optimizing parameters of the marketing campaign according to the marketing business management and control label.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
through obtaining marketing data, the marketing data includes data feedback of the ongoing marketing campaign, historical marketing campaign data and marketing campaign peripheral real-time data, the marketing data is input into at least one marketing strategy model to generate at least one marketing service management and control label, parameters of the marketing campaign are optimized according to the marketing service management and control label, timeliness of the marketing strategy can be improved, and accuracy of the marketing strategy can be improved due to the fact that the marketing data is rich and the marketing strategy model is not limited by artificial experience.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a schematic flowchart of a marketing strategy optimization method according to a first embodiment of the present disclosure.
Fig. 2 is a flow chart of another marketing strategy optimization method provided in an embodiment of the present disclosure.
Fig. 3 is a flowchart illustrating a marketing strategy optimization method according to an embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of a marketing strategy optimization system according to an embodiment of the present disclosure.
Fig. 5 is a functional structure diagram of a marketing strategy optimization device according to a second embodiment of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments of the present disclosure, shall fall within the scope of protection of the present application.
As shown in fig. 1, a first embodiment of the present specification provides a marketing strategy optimization method. The execution subject of the embodiment may be a computer or a server or a corresponding marketing strategy optimization system, that is, the execution subject may be various and may be set or changed according to actual situations. In addition, a third-party application program can assist the execution main body to execute the embodiment; for example, the marketing strategy optimization method in this embodiment may be executed by a server, and a corresponding application program may also be installed on a terminal (held by a user) (including but not limited to a mobile phone and a computer), where the server corresponds to the application program, data transmission may be performed between the server and the terminal held by the user, and a page and information presentation or input/output may be performed to the user through the application program.
As shown in fig. 1, the marketing strategy optimization method in this embodiment includes:
s101, acquiring marketing data, wherein the marketing data comprises but is not limited to data feedback of a marketing activity in progress, historical marketing activity data and real-time data around the marketing activity;
s102, inputting marketing data into at least one marketing strategy model to generate at least one marketing service control label;
and S103, optimizing parameters of the marketing campaign according to the marketing business management and control label.
Traditional marketing strategy formulation process needs the operation personnel to participate in a large amount of operations and gathers, adjustment and calculation etc. finally formulate marketing scheme, because there is the hysteresis quality in the activity data that the operation personnel obtained, causes to formulate marketing scheme process lag to the marketing scheme that the operation personnel worked out through experience is accurate inadequately, leads to marketing effect poor, influences the enterprise and benefits.
In the embodiment, by acquiring marketing data, the marketing data comprises data feedback of an ongoing marketing activity, historical marketing activity data and marketing activity peripheral real-time data, the marketing data is input into at least one marketing strategy model to generate at least one marketing service management and control label, parameters of the marketing activity are optimized according to the marketing service management and control label, timeliness of a marketing strategy can be improved, and the marketing strategy model is not limited by artificial experience due to abundant marketing data, accuracy of the marketing strategy can be improved, marketing effect is improved, and enterprise benefit is improved.
Fig. 2 is a schematic diagram of another marketing strategy optimization method provided in the embodiments of the present disclosure, which is as follows. The execution subject of the marketing strategy optimization method can be a server, and the marketing strategy optimization method comprises the following steps:
s201, a data acquisition system is constructed, and the data acquisition system initiates an HTTP request to a service data source party or a third-party platform to acquire marketing data;
the service data source side is, for example, an artificial intelligent internet of things.
S202, a self-service task scheduling platform is constructed, data interaction is carried out between the self-service task scheduling platform and the data acquisition system in a message queue mode or an HTTP communication mode, and the self-service task scheduling platform is used for scheduling the data acquisition tasks in real time so that the data acquisition system can acquire corresponding marketing data according to the data acquisition tasks scheduled in real time;
marketing data includes, but is not limited to, data feedback for ongoing marketing campaigns, historical marketing campaign data, and marketing campaign-peripheral real-time data.
Through the acquisition task scheduling, the data acquisition system acquires corresponding marketing data according to the data acquisition tasks scheduled in real time, the tasks are executed according to the scheduling plan, and the sequence and the reasonability of business logic are guaranteed.
Due to the fact that marketing data are rich, more accurate and comprehensive input basis is provided for the marketing strategy model, and therefore the accuracy of the optimized marketing strategy is improved.
S203, inputting marketing data into a marketing strategy model based on a BPR (Bayesian Personalized Ranking) algorithm, and generating at Least one marketing service control label based on an ALS (Alternating Least Square) algorithm marketing strategy model or other marketing strategy models;
if the BPR algorithm-based marketing strategy model is used, attribution algorithm value taking (C: 0-1) is carried out on the collected data (A) and preset data (B) of a database according to the BPR algorithm;
it should be noted that the closer C is to 1, the more accurate the marketing service control label is.
In the embodiment of the specification, a marketing strategy model is established according to the collected user behaviors, the user portrait is perfected, the predicted label is realized, and a foundation is laid for providing higher-quality marketing.
In the embodiment of the present specification, the at least one marketing-service-management tag includes, but is not limited to:
at least one of a consumer rating label, a people profile label, a merchant profile label, a regional recommendation label, and a netpage TOP label.
The crowd portrait label and the merchant portrait label can realize directional depth crowd matching, and the consumption grade label, the area recommendation label and the net red TOP label can realize automatic intelligent price adjustment.
S204, establishing a multifunctional data warehouse;
and S205, inputting at least one marketing business management and control label into the multifunctional data warehouse for data processing and data storage.
In the embodiment of the present specification, the data processing includes;
classifying at least one marketing business control label through data cleaning, data analysis of business dimensions and data archiving and summarizing operations;
sorting the classification results according to priority, wherein the classification results comprise at least one of high-quality data, transition data and gray data;
the high-quality data is used for real-time business analysis;
the transition data is used for cache destaging processing;
the gradation data is used for discarding the temporary suspension.
By classifying the data, the data which has a large influence on the marketing strategy can be processed preferentially, the input data dimension of the algorithm can be reduced, and the algorithm efficiency is improved; the transition data which has less important influence on the marketing strategy is subjected to cache degradation processing for subsequent refining and use, so that the loss of operation data due to large screening and filtering granularity can be avoided, the gray data can be temporarily redundant data without processing, and the data refining performance is ensured.
In an embodiment of this specification, the data storage includes:
and respectively inputting the high-quality data, the transition data and the gray data into a business analysis database, a cache database and a big data storage database for storage.
The database can separately store various types of data, so that data errors caused by cross storage of different types of data are avoided, and the accuracy of the final marketing strategy is further ensured.
And S206, optimizing parameters of the marketing campaign according to the marketing business management and control label.
In the embodiment of the present specification, the marketing campaign parameters include:
one or more of a marketing price, a marketing territory, a marketing circle, and a marketing crowd.
In the embodiment of the specification, the marketing price, the marketing region, the marketing business circle, the marketing crowd and the like are optimized, the optimization parameters are comprehensive, and the optimization dimension is increased, so that the marketing effect is improved.
In the embodiment of the present specification, as shown in fig. 3, the marketing strategy optimization method includes firstly performing acquisition, analysis and processing on data, then inputting algorithm models A, B and c, generating tags 1, 2, 3, 4, 5 and 6, storing the tags in a data warehouse for classification, obtaining high-quality data, transition data and gray data, and analyzing the high-quality data, the transition data and the gray data respectively to obtain accurate marketing parameters A, B, C and the like.
In the embodiment of the present specification, the marketing strategy optimization method corresponds to a marketing strategy optimization system, as shown in fig. 4, and includes: the system comprises a terminal/client, a data acquisition system, a data warehouse, an algorithm center, a marketing system and other modules, wherein the marketing system is responsible for delivering marketing activities to the terminal/client, the terminal/client presents the marketing activities according to preset content, the acquisition and report of related data are carried out, the acquired related data are output and optimized through the data warehouse and the algorithm center, and then marketing parameters are input into the marketing system again after optimization, so that the marketing system improves the marketing activities according to the optimized marketing parameters and delivers the improved marketing activities to the terminal/client again. Therefore, the marketing strategy optimization system can realize simultaneous operation, simultaneous reporting, simultaneous storage, simultaneous analysis and simultaneous adjustment and verification, namely, continuously updates the stored data in the data warehouse through program automation real-time data processing and data reporting, and carries out statistical analysis and comparison in the algorithm center to obtain the marketing activity optimization parameter feedback marketing system, thereby not only realizing real-time reminding feedback, but also optimizing the efficiency in the whole marketing process and achieving better marketing effect.
The existing marketing strategy is insufficient in precision and timeliness, accurate control and adjustment cannot be made according to the latest price real-time feedback and statistical analysis, and the marketing activity algorithm is fixed and inflexible.
In the embodiment, the marketing management and control label is obtained through identifying and comparing data feedback during the progress of each activity, combining historical activity data and activity surrounding real-time data, calculating through a plurality of models, and communicating with the marketing system through a timing task or condition triggering mechanism to complete automatic interface calling operation, so that the feedback marketing system is realized, the automatic adjustment of marketing parameters is completed, the marketing strategy is adjusted more scientifically in time, and the aim of optimizing marketing is fulfilled.
As shown in fig. 5, a second embodiment of the present specification provides a marketing strategy optimization device, including:
the acquiring module 501 is used for acquiring marketing data, wherein the marketing data comprises data feedback of ongoing marketing activities, historical marketing activity data and marketing activity peripheral real-time data;
a generating module 502, configured to input marketing data into at least one marketing strategy model to generate at least one marketing service management and control tag;
and the optimizing module 503 is configured to optimize parameters of the marketing campaign according to the marketing service management and control label.
Optionally, the obtaining module 501 is configured to:
a data acquisition system is constructed, and the data acquisition system initiates an HTTP request to a service data source party or a third-party platform to acquire marketing data;
constructing a self-service task scheduling platform, wherein the self-service task scheduling platform and the data acquisition system perform data interaction in a message queue mode or an HTTP communication mode; the self-service task scheduling platform is used for scheduling the data acquisition tasks in real time so that the data acquisition system can acquire corresponding marketing data according to the data acquisition tasks scheduled in real time.
In an embodiment of the present specification, the at least one marketing strategy model includes:
a BPR algorithm based marketing strategy model, and/or an ALS algorithm based marketing strategy model.
In an embodiment of this specification, the at least one marketing service management and control tag includes:
at least one of a consumer rating label, a people profile label, a merchant profile label, a regional recommendation label, and a netpage TOP label.
Optionally, the method further comprises:
and the creating module 504 is configured to create a multifunctional data warehouse, and input at least one marketing service management and control tag into the multifunctional data warehouse for data processing and data storage.
Optionally, a data processing module 505 is further included for;
classifying at least one marketing service control label through data cleaning, data analysis of service dimensions and data archiving and summarizing operations, wherein the obtained classification result comprises at least one of high-quality data, transition data and gray data;
the high-quality data is used for real-time business analysis;
the transition data is used for cache destaging processing;
the gradation data is used for discarding the temporary suspension.
Optionally, a data storage module 506 is further included for:
and respectively inputting the high-quality data, the transition data and the gray data into a business analysis database, a cache database and a big data storage database for storage.
In the embodiment of the present specification, the parameters of the marketing campaign include:
one or more of a marketing price, a marketing territory, a marketing circle, and a marketing crowd.
A third embodiment of the present specification provides an electronic apparatus including:
at least one processor;
and the number of the first and second groups,
a memory communicatively coupled to the at least one processor;
wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring marketing data, wherein the marketing data comprises data feedback of a marketing activity in progress, historical marketing activity data and marketing activity peripheral real-time data;
inputting marketing data into at least one marketing strategy model to generate at least one marketing service management and control label;
and optimizing parameters of the marketing campaign according to the marketing business management and control label.
The above embodiments may be used in combination.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the electronic device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and the relevant points can be referred to the partial description of the embodiments of the method.
The apparatus, the electronic device, the nonvolatile computer storage medium and the method provided in the embodiments of the present description correspond to each other, and therefore, the apparatus, the electronic device, and the nonvolatile computer storage medium also have similar advantageous technical effects to the corresponding method.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the various elements may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.
As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data optimization apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data optimization apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data optimization apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data optimization apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, 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 a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, 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 technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A marketing strategy optimization method, the method comprising:
acquiring marketing data, wherein the marketing data comprises data feedback of a marketing campaign in progress, historical marketing campaign data and marketing campaign peripheral real-time data;
inputting the marketing data into at least one marketing strategy model to generate at least one marketing service management and control label;
and optimizing parameters of the marketing campaign according to the marketing business management and control label.
2. The marketing strategy optimization method of claim 1, further comprising:
optimizing the ongoing marketing campaign according to the optimized parameters of the marketing campaign;
and throwing the optimized ongoing marketing campaign to a feedback party and a related party for data feedback of the ongoing marketing campaign.
3. The marketing strategies optimization method of claim 1, wherein the at least one marketing strategies model comprises:
a BPR algorithm based marketing strategy model, and/or an ALS algorithm based marketing strategy model.
4. The marketing strategies optimization method of claim 1 wherein the at least one marketing governance tag comprises:
at least one of a consumer rating label, a people profile label, a merchant profile label, a regional recommendation label, and a netpage TOP label.
5. The marketing strategy optimization method of claim 1, wherein after inputting the marketing data into at least one marketing strategy model to generate at least one marketing traffic management label, the method further comprises:
and inputting the at least one marketing service management and control label into a multifunctional data warehouse for data processing and data storage.
6. The marketing strategies optimization method of claim 5 wherein the data processing comprises;
classifying at least one marketing service control label through data cleaning, data analysis of service dimensions and data archiving and summarizing operations, wherein the obtained classification result comprises at least one of high-quality data, transition data and gray data;
the high-quality data is used for real-time business analysis;
the transition data is used for cache destaging processing;
the grayscale data is used for discarding the temporary suspension.
7. The marketing strategies optimization method of claim 6, wherein the data store comprises:
and respectively inputting the high-quality data, the transition data and the gray data into a business analysis database, a cache database and a big data storage database for storage.
8. The marketing strategy optimization method of claim 1, wherein the parameters of the marketing campaign comprise:
one or more of a marketing price, a marketing territory, a marketing circle, and a marketing crowd.
9. A marketing strategy optimization device, the device comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring marketing data, and the marketing data comprises data feedback of a marketing activity in progress, historical marketing activity data and real-time data around the marketing activity;
the generating module is used for inputting the marketing data into at least one marketing strategy model to generate at least one marketing business control label;
and the optimization module is used for optimizing parameters of the marketing activities according to the marketing service control labels.
10. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring marketing data, wherein the marketing data comprises data feedback of a marketing campaign in progress, historical marketing campaign data and marketing campaign peripheral real-time data;
inputting the marketing data into at least one marketing strategy model to generate at least one marketing service management and control label;
and optimizing parameters of the marketing campaign according to the marketing business management and control label.
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