Marketing management system and method based on power consumer classification

Abstract

The invention discloses a marketing management system and method based on power consumer classification, relates to the technical field of power operation, and solves the problems that a single evaluation mode in the prior art is too simple and does not comprehensively consider whether a user has important indexes such as potential and purchasing power of a large amount of electricity consumption or not. According to the method, the user comprehensive evaluation coefficient is calculated by collecting the electricity purchasing quantity, the electricity purchasing duration, the power product promotion success condition and the like of the user, finally the user grade is evaluated based on the grade-evaluation corresponding table, and the user comprehensive evaluation coefficient and the user grade are updated according to the set statistical period; and then different access permissions and operation service resources are allocated according to user levels. In the process, multi-dimensional information is adopted to evaluate and update the users, then access authority and operation service resource allocation and other processing are carried out according to the latest total user amount and evaluation coefficient, fine management of the users is further achieved, and management and decision making of electric power system managers are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power operation, and in particular to a marketing management system and method based on electric power user classification. Background Art

[0002] Customer management of power companies is particularly important in today's fiercely competitive market. High-quality customers play a vital role in the development of power companies. Screening out high-quality power customers and establishing long-term and stable business relationships with these customers can significantly increase the operating profits of power companies. With the development of social economy and the diversification of energy supply channels, the competitiveness of the power market is gradually increasing. If power companies want to achieve sustainable development, they cannot do without the support of customers. Therefore, power companies must attach importance to customer relationship management, establish a high-quality customer evaluation system by comprehensively considering the electricity consumption of user companies, and help power companies quickly select users who can cooperate with them in a long-term and stable manner to increase corporate profits.

[0003] However, the current customer management of power companies is not completely based on the combination of multiple dimensions such as user power purchase data and power product purchasing power. The evaluation and analysis of power companies on customers mainly studies the credibility of customers, but this single evaluation method is too simple and does not comprehensively consider important indicators such as whether the user has the potential for large-scale electricity consumption and purchasing power. This situation is not conducive to more refined management of customers by power companies, and it is also difficult to achieve the maximum return on resource investment and customer value.

[0004] In view of this, a marketing management system and method based on power user classification is needed. Summary of the invention

[0005] In view of the problem that the single evaluation method in the prior art is too simple and does not comprehensively consider important indicators such as whether the user has the potential for large-scale electricity consumption and purchasing power, the present invention provides a marketing management system and method based on the classification of power users, which can obtain the user's comprehensive evaluation coefficient and user level based on the user's purchased electricity, purchase duration, number of arrears and arrears duration of the current arrears, and the success rate of power product sales, and finally conduct refined customer management of power companies based on this. The specific technical solution is as follows:

[0006] A marketing management system based on power user classification, comprising:

[0007] The user classification unit obtains the user comprehensive evaluation coefficient based on the user's purchased electricity volume, purchase duration, number of arrears and arrears duration, and success rate of power product sales, and finally evaluates the user level based on the level-evaluation correspondence table;

[0008] The calculation formula of the user comprehensive evaluation coefficient is as follows:

[0009]

[0010] In the formula, Q 购电 is the amount of electricity purchased by the user during the statistical period, T is the cumulative time from the first purchase of electricity to the end of the statistical period, and P s The success rate of power product marketing, t i is the arrears duration of the i-th arrears, δ1, δ2, δ3, and δ4 are the weight coefficients of the purchased electricity, cumulative duration, success rate of power product sales, and total arrears duration, respectively;

[0011] The access and management allocation unit is connected to the user classification unit and includes an access permission setting module and an operation service resource allocation module. The access permission setting module is provided with user access permissions based on user levels, and the operation service resource allocation module allocates corresponding operation service resources based on user levels.

[0012] Preferably, the calculation formula for the success rate of power product marketing is as follows:

[0013]

[0014] Where N k (t) represents the number of times the power product k is promoted to the user within time t, N j (t+Δt) represents the number of times the user purchases power product j within the time interval Δt after time t, and power product j belongs to power product k.

[0015] Preferably, a grade-evaluation correspondence table is stored in the grade generation module, and the grade-evaluation correspondence table is used to reflect the correspondence between the user comprehensive evaluation coefficient and the final user grade. The correspondence between the user comprehensive evaluation coefficient and the user grade reflected in the grade-evaluation correspondence table is expressed as follows:

[0016]

[0017] Where L is the final output level, L R is the Rth classification type set, λ P is the set threshold, and Z is the user's comprehensive evaluation coefficient.

[0018] Preferably, it also includes a priority ranking unit, which is connected to the user classification unit and includes a comprehensive level coefficient calculation module and a comprehensive ranking module. The comprehensive level coefficient calculation module is used to obtain the user comprehensive evaluation coefficient in each statistical period of the user and calculate the average value of the user comprehensive evaluation coefficient in each period. The comprehensive ranking module is based on the average Sort users and visualize the sorting.

[0019] Preferably, it also includes an electricity product promotion unit, which includes a strategy setting module, which stores a user information-strategy correspondence table based on different user levels or different user parameter settings, and the user information-strategy correspondence table stores electricity product promotion strategies corresponding to different user levels or different user parameters, and promotes different electricity products to different users according to user levels and user parameters.

[0020] Preferably, the user parameters include the amount of electricity purchased, the cumulative electricity purchase time, the user type, and the user's location.

[0021] Preferably, the power product marketing unit also includes a marketing statistics module, which is used to record the output time of the marketing strategy and the time when the user purchases the power product, and is used to update the marketing and purchase status in real time and transmit it to the user classification unit for calculation of the comprehensive evaluation coefficient.

[0022] A marketing management method based on power user classification, applied to the system as described above, comprises the following steps:

[0023] Collect the user's electricity purchase amount, electricity purchase duration, number of arrears and arrears duration, and the success of power product sales, calculate the user's comprehensive evaluation coefficient, and finally evaluate the user's grade based on the grade-evaluation correspondence table, and update the user's comprehensive evaluation coefficient and user grade according to the set statistical period;

[0024] Set user access rights based on user levels and allocate corresponding operation service resources based on user levels, and allocate different access rights and operation service resources according to user levels;

[0025] Obtain the comprehensive evaluation coefficient of users in each statistical period, and calculate the average value of the comprehensive evaluation coefficient of users in each period Based on average Sort users and visualize the sorting;

[0026] Set up a user information-strategy correspondence table based on different user levels or different user parameter settings, and promote different power products to different users according to user levels and user parameters;

[0027] Record the output time of the marketing strategy and the time when the user purchases the power product, update the marketing and purchase status in real time, and transmit it to the user classification unit for calculation of the comprehensive evaluation coefficient.

[0028] A computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the marketing management system for classifying power users as described above.

[0029] A processor is used to run a program, wherein the program, when running, executes the marketing management system for classifying power users as described above.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. The present invention is provided with a method of collecting the amount of electricity purchased by the user, the duration of electricity purchase, the number of arrears and the duration of arrears of the current arrears, and the success of the power product promotion, calculating the comprehensive evaluation coefficient of the user, and finally evaluating the user level based on the level-evaluation correspondence table, and updating the comprehensive evaluation coefficient of the user and the user level according to the set statistical period; then further setting the user access rights based on the user level and allocating the corresponding operation service resources based on the user level, and allocating different access rights and operation service resources according to the user level. In this process, multi-dimensional information is used to evaluate and update the user, and then the latest total number of users and evaluation coefficients are used to process access rights and operation service resource allocation, etc., which further realizes the refined management of users and facilitates the management and decision-making of power system managers.

[0032] 2. The present invention also obtains the comprehensive evaluation coefficient of the user in each statistical period, and calculates the average value of the comprehensive evaluation coefficient of the user in each period Based on average Sort users and visualize the rankings, showing the latest user rankings to facilitate intuitive viewing of current user purchasing power or overall credit status, and provide managers or decision makers with a relatively intuitive quantitative data reference.

[0033] 3. The present invention also sets a user information-strategy correspondence table based on different user levels or different user parameter settings, and promotes different power products to different users according to user levels and user parameters. Recommending corresponding products to corresponding customers is more conducive to the marketing of power products. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0035] Figure 1 It is the system principle diagram of the present invention;

[0036] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0039] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0040] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0041] In one embodiment of the present invention, a marketing management system based on power user classification is provided, such as Figure 1 As shown, including:

[0042] 1. User Classification Unit

[0043] The user classification unit obtains the user's comprehensive evaluation coefficient based on the user's purchased electricity volume, purchase duration, number of arrears and arrears duration, as well as the success rate of power product sales, and finally evaluates the user level based on the level-evaluation correspondence table.

[0044] The user classification unit includes a user information collection module, a comprehensive evaluation module and a grade generation module. The user information collection module is connected to the State Grid's new generation e-commerce platform and other system platforms to obtain information, and is used to detect the user's purchased electricity volume and cumulative electricity purchase duration, the type of electricity products purchased and the time of purchase, the number of arrears, the arrears duration, etc.

[0045] The types of electricity purchased products include equipment and services. The equipment includes power generation equipment (including diesel generator sets, alternative fuel generator sets, AC generators, etc.), power electronic equipment (such as electron tubes, thyristors and other power electronic devices), etc. Services include power services (including long-term operation, agreement maintenance, turnkey projects and temporary power supply, including a full range of services and power solutions), new energy services (such as heat (cold) energy sales services, demand response services, etc.), comprehensive energy services (electric vehicle energy services, new energy monitoring services, etc.), etc., or the promotion of other energy-saving and environmentally friendly products, power information technology products, power tools, etc.

[0046] The comprehensive evaluation module collects information from the mobile phone user information collection module and then calculates the user comprehensive evaluation coefficient. The calculation formula of the user comprehensive evaluation coefficient is as follows:

[0047]

[0048] In the formula, Q 购电 is the amount of electricity purchased by the user during the statistical period, T is the cumulative time from the first purchase of electricity to the end of the statistical period, and P s The success rate of power product marketing, t i is the arrears duration of the i-th arrears, δ1, δ2, δ3, and δ4 are the weight coefficients of the purchased electricity, cumulative duration, success rate of power product sales, and total arrears duration, respectively;

[0049] The calculation formula for the success rate of power product sales promotion is as follows:

[0050]

[0051] Where N k (t) represents the number of times the power product k is promoted to the user within time t, N j (t+Δt) represents the number of times the user purchased power product j within the time interval Δt after time t, and power product j belongs to power product k. In other words, the formula shows that after sending a promotional message to the user at time t or using other promotional means to promote power products to the user, if the user purchases the corresponding type of power product within the time interval Δt, it is considered a successful promotion, and the promotion success rate is calculated based on this.

[0052] The user comprehensive evaluation coefficient is updated according to the set statistical period, that is, each statistical period will have a user comprehensive evaluation coefficient and a user level based on the user comprehensive evaluation coefficient.

[0053] The grade generation module stores a grade-evaluation correspondence table, which is used to reflect the correspondence between the user comprehensive evaluation coefficient and the final user grade. The user grade can be directly obtained through the user comprehensive evaluation coefficient through the grade-evaluation correspondence table. The correspondence between the user comprehensive evaluation coefficient and the user grade reflected in the grade-evaluation correspondence table is expressed as follows:

[0054]

[0055] Where L is the final output level, L R is the Rth classification type set, λ P is the set threshold, Z is the user's comprehensive evaluation coefficient, and the larger the user's comprehensive evaluation coefficient is, the higher the user level is.

[0056] 2. Access and manage allocation units

[0057] The access and management allocation unit is connected to the user classification unit, and includes an access permission setting module and an operation service resource allocation module. The access permission setting module is provided with user access permissions based on user levels, which can be specifically stored in a user level-access permission correspondence table and other storage forms. In short, access permissions of different classification levels are set by an expert system or relevant professionals. When the user classification unit outputs the user's corresponding user level, the user can only access the access content corresponding to the user level. The access permissions include the access permissions of the system user interface and the access permissions of power data.

[0058] The operation service resource allocation module is similar to the access permission setting module. The operation service resource allocation module allocates corresponding operation service resources based on user level. The operation service resources include service personnel allocation and network access channel resources. The higher the user level, the more service personnel and network access channels are allocated.

[0059] 3. Priority Arrangement Unit

[0060] The priority ranking unit is connected to the user classification unit and includes a comprehensive ranking coefficient calculation module and a comprehensive ranking module. The comprehensive ranking coefficient calculation module is used to obtain the comprehensive evaluation coefficient of the user in each statistical period and calculate the average value of the comprehensive evaluation coefficient of the user in each period. The comprehensive ranking module is based on the average Sort users and visualize the sorting.

[0061] 4. Power Product Marketing Unit

[0062] The power product marketing unit includes a strategy setting module and a marketing statistics module. The strategy setting module stores a user information-strategy correspondence table set based on different user levels or different user parameters (such as purchased electricity, cumulative power purchase time, user type, user location, etc.), and the user information-strategy correspondence table stores power product marketing strategies corresponding to different user levels or different user parameters. That is, the table sets a certain user level or a certain user type to promote a certain power product, or promotes a certain power product to users whose purchased electricity reaches a certain range.

[0063] The marketing statistics module is used to record the output time of the marketing strategy, that is, the time when marketing information is sent to the user or other marketing means are used, and to record the time when the user purchases the power product, so as to update the marketing and purchase status in real time and transmit it to the user classification unit for calculation of the comprehensive evaluation coefficient.

[0064] In one embodiment of the present invention, a marketing management method based on power user classification is also provided, which is applied to the system as described above. Figure 2 As shown, the following steps are included:

[0065] Collect the user's electricity purchase amount, electricity purchase duration, number of arrears and arrears duration, and the success of power product sales, calculate the user's comprehensive evaluation coefficient, and finally evaluate the user's grade based on the grade-evaluation correspondence table, and update the user's comprehensive evaluation coefficient and user grade according to the set statistical period;

[0066] Set user access rights based on user levels and allocate corresponding operation service resources based on user levels, and allocate different access rights and operation service resources according to user levels;

[0067] Obtain the comprehensive evaluation coefficient of users in each statistical period, and calculate the average value of the comprehensive evaluation coefficient of users in each period Based on average Sort users and visualize the sorting;

[0068] Set up a user information-strategy correspondence table based on different user levels or different user parameter settings, and promote different power products to different users according to user levels and user parameters;

[0069] Record the output time of the marketing strategy and the time when the user purchases the power product, update the marketing and purchase status in real time, and transmit it to the user classification unit for calculation of the comprehensive evaluation coefficient.

[0070] In summary, the present invention is provided with a method of collecting the user's power purchase amount, power purchase duration, number of arrears and arrears duration of the current arrears, and the success of the power product promotion, and calculating the user's comprehensive evaluation coefficient. Finally, based on the grade-evaluation correspondence table, the user grade is evaluated, and the user's comprehensive evaluation coefficient and user grade are updated according to the set statistical period; then, user access rights based on user grade and corresponding operation service resources based on user grade are further set, and different access rights and operation service resources are allocated according to user grade. In this process, multi-dimensional information is used to evaluate and update users, and then the latest user total and evaluation coefficient are used to perform processing such as access rights and operation service resource allocation, which further realizes the refined management of users and facilitates the management and decision-making of power system managers. Moreover, the present invention also obtains the user's comprehensive evaluation coefficient in each statistical period, and calculates the average value of the user's comprehensive evaluation coefficient in each period. Based on average The users are sorted and the sorting is visualized to show the latest user sorting, which is convenient for intuitively viewing the current user purchasing power or comprehensive credit situation, and provides managers or decision makers with a relatively intuitive quantitative data reference. In addition, the present invention also sets a user information-strategy correspondence table based on different user levels or different user parameter settings, and promotes different power products to different users according to user levels and user parameters. Recommending corresponding products to corresponding customers is more conducive to the marketing of power products.

[0071] Those of ordinary skill in the art will appreciate that the units of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0072] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0073] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0074] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A marketing management system based on power user classification, characterized in that: include: The user classification unit obtains the user comprehensive evaluation coefficient based on the user's purchased electricity volume, purchase duration, number of arrears and arrears duration, and success rate of power product sales, and finally evaluates the user level based on the level-evaluation correspondence table; The calculation formula of the user comprehensive evaluation coefficient is as follows: In the formula, Q 购电 is the amount of electricity purchased by the user during the statistical period, T is the cumulative time from the first purchase of electricity to the end of the statistical period, and P s The success rate of power product marketing, t i is the arrears duration of the i-th arrears, δ1, δ2, δ3, and δ4 are the weight coefficients of the purchased electricity, cumulative duration, success rate of power product sales, and total arrears duration, respectively; The access and management allocation unit is connected to the user classification unit and includes an access permission setting module and an operation service resource allocation module. The access permission setting module is provided with user access permissions based on user levels, and the operation service resource allocation module allocates corresponding operation service resources based on user levels.

2. A marketing management system based on power user classification according to claim 1, characterized in that: The formula for calculating the success rate of power product marketing is as follows: Where N k (t) represents the number of times the power product k is promoted to the user within time t, N j (t+Δt) represents the number of times the user purchases power product j within the time interval Δt after time t, and power product j belongs to power product k.

3. A marketing management system based on power user classification according to claim 1, characterized in that: The grade generation module stores a grade-evaluation correspondence table, which is used to reflect the correspondence between the user comprehensive evaluation coefficient and the final user grade. The correspondence between the user comprehensive evaluation coefficient and the user grade reflected in the grade-evaluation correspondence table is expressed as follows: Where L is the final output level, L R is the Rth classification type set, λ P is the set threshold, and Z is the user's comprehensive evaluation coefficient.

4. A marketing management system based on power user classification according to claim 1, characterized in that: It also includes a priority ranking unit, which is connected to the user classification unit and includes a comprehensive level coefficient calculation module and a comprehensive ranking module. The comprehensive level coefficient calculation module is used to obtain the user comprehensive evaluation coefficient in each statistical period of the user and calculate the average value of the user comprehensive evaluation coefficient in each period. The comprehensive ranking module is based on the average Sort users and visualize the sorting.

5. A marketing management system based on power user classification according to claim 4, characterized in that: It also includes an electricity product promotion unit, which includes a strategy setting module. The strategy setting module stores a user information-strategy correspondence table based on different user levels or different user parameter settings. The user information-strategy correspondence table stores electricity product promotion strategies corresponding to different user levels or different user parameters. Different electricity products are promoted to different users according to user levels and user parameters.

6. A marketing management system based on power user classification according to claim 5, characterized in that: User parameters include electricity purchase amount, cumulative electricity purchase time, user type, and user location.

7. A marketing management system based on power user classification according to claim 5, characterized in that: The power product marketing unit also includes a marketing statistics module, which is used to record the output time of the marketing strategy and the time when the user purchases the power product, and is used to update the marketing and purchase status in real time and transmit it to the user classification unit for calculation of the comprehensive evaluation coefficient.

8. A marketing management method based on power user classification, characterized in that: The system applied to any one of claims 1 to 7 comprises the following steps: Collect the user's electricity purchase amount, electricity purchase duration, number of arrears and arrears duration, and the success of power product sales, calculate the user's comprehensive evaluation coefficient, and finally evaluate the user's grade based on the grade-evaluation correspondence table, and update the user's comprehensive evaluation coefficient and user grade according to the set statistical period; Set user access rights based on user levels and allocate corresponding operation service resources based on user levels, and allocate different access rights and operation service resources according to user levels; Obtain the comprehensive evaluation coefficient of users in each statistical period, and calculate the average value of the comprehensive evaluation coefficient of users in each period Based on average Sort users and visualize the sorting; Set up a user information-strategy correspondence table based on different user levels or different user parameter settings, and promote different power products to different users according to user levels and user parameters; Record the output time of the marketing strategy and the time when the user purchases the power product, update the marketing and purchase status in real time, and transmit it to the user classification unit for calculation of the comprehensive evaluation coefficient.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the marketing management system for classifying power users as described in any one of claims 1 to 7.

10. A processor, characterized in that: The processor is used to run a program, wherein the program, when running, executes the marketing management system for classifying power users as described in any one of claims 1 to 7.

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