Power supply marketing management method based on user electricity consumption measurement data analysis

Abstract

The invention relates to the field of power supply marketing management, and discloses a power supply marketing management method based on user electricity consumption measurement data analysis, which comprises the following steps: S1, numbering; s2, acquiring customer information data; s3, acquiring first power consumption data; s4, performing domain division; s5, acquiring second power consumption data; s6, determining a level; first monitoring modules are arranged at the connection positions of a power supply grid and a power grid of a client to obtain first power utilization data; dividing the power utilization area of each customer into a plurality of power utilization units to obtain second power utilization data of each power utilization unit; analyzing the first power consumption data, the second power consumption data and the customer information data through an analysis module, and performing business evaluation on each marketing staff; the marketing personnel are evaluated from multiple aspects, so that the marketing personnel can generate competitive consciousness, and the service consciousness of customers is improved.

Description

Technical Field

[0001] The present invention relates to the field of power supply marketing management, and in particular to a power supply marketing management method based on user electricity consumption metering data analysis. Background Art

[0002] Electricity is an indispensable element in modern economic activities. The stability and efficiency of its supply directly affect the healthy development of the regional economy. As a "product", the promotion and application of electricity is the lifeblood of power companies, and the way of electricity marketing is directly related to the survival of power supply companies.

[0003] In the traditional electricity market, electricity production is dominant and seriously insufficient, which is a complete seller's market. The electricity market is in short supply, there are fewer marketers, and there is little competition in the electricity industry. Therefore, the marketing method of marketers is usually passive marketing, providing services to customers who come to the business hall to handle business to achieve marketing goals.

[0004] Now with the rapid development of the electricity market, the situation of electricity supply has gradually changed from shortage to oversupply, making the competition in the electricity industry increasingly fierce. However, due to the long-term working habits of marketing personnel and the failure of corporate management methods to improve in time according to market conditions, marketing personnel still continue to market in the original way. Without the awareness of proactive marketing and customer service, it is difficult to increase the power company's electricity sales and open up the power company's market. Summary of the invention

[0005] The purpose of the present invention is to provide a power supply marketing management method based on user electricity metering data analysis to solve the following technical problems:

[0006] How to improve the marketing awareness and enthusiasm of marketing personnel and increase the power company's electricity sales.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A power supply marketing management method based on user power consumption metering data analysis, the management method comprising the following steps:

[0009] S1: Numbering: Each marketing staff is numbered through the employee module, numbered i;

[0010] S2: Obtain customer information data: Obtain customer information data of each marketing staff through the customer management module;

[0011] S3: Obtaining first power consumption data: by respectively setting a first monitoring module at the connection point between the power supply grid and the customer's grid, for monitoring the power consumption of each customer, and obtaining the first power consumption data of each customer;

[0012] S4: Division: Divide each customer's electricity consumption area into several electricity consumption units;

[0013] S5: Obtaining second power consumption data: by setting a second monitoring module at the power consumption unit to monitor the power consumption of each power consumption unit, obtaining the second power consumption data of each power consumption unit;

[0014] S6: Determine the level: Analyze the first electricity consumption data of each customer, the second electricity consumption data of each customer's electricity consumption unit and the customer information data through the analysis module to obtain the skill evaluation index of each marketing personnel; determine the level of each marketing personnel by analyzing the skill evaluation index.

[0015] As a further solution of the present invention: the first power consumption data includes the total power consumption of the customer; the second power consumption data includes the power consumption of the power unit of the power unit; the customer information data includes the customer status;

[0016] The customer status includes completed transaction and pending transaction.

[0017] As a further solution of the present invention: the analysis process of the analysis module is:

[0018] S10: Analyze the total power consumption of the customers of the marketing staff numbered i last month and the number of customers in the pending transaction state before the beginning of this month to obtain the preset power sales volume for this month;

[0019] S20: Obtain the actual line loss rate of the marketing staff numbered i this month by analyzing the total power consumption of the customers of the marketing staff numbered i this month and the power consumption of all power consumption units of each customer;

[0020] S30: Obtaining a skill evaluation index of the marketing staff numbered i by analyzing the preset power sales volume of the marketing staff numbered i this month, the actual line loss rate of the marketing staff numbered i this month, and the total power consumption of the customers this month;

[0021] S40: Determine the level of the marketing personnel numbered i by analyzing the skill evaluation index of the marketing personnel numbered i.

[0022] As a further solution of the present invention: in step S10, the preset power sales volume S of the marketing personnel numbered i for this month Yi To pass the formula:

[0023]

[0024] Among them, S zp is the total power consumption of the zth customer of the marketing staff numbered i in the previous month; D P The number of statutory working days in the previous month; D n is the statutory working days of the month; Mi is the number of customers whose status is pending transaction before the beginning of this month for the marketing staff numbered i; ε is the basic customer conversion rate; S b It is the monthly basic electricity consumption of new customers who have completed transactions this month.

[0025] As a further solution of the present invention: in step S20, the actual line loss rate X of the marketing staff numbered i in this month is fi To pass the formula:

[0026]

[0027] Where M is the total number of electricity units of the zth customer of the marketing staff numbered i, m∈M; S m The power consumption of the m-th power unit of the z-th customer of the marketing personnel numbered i.

[0028] As a further solution of the present invention: the levels include primary, secondary, tertiary and quaternary levels.

[0029] As a further solution of the present invention: in step S30, the skill evaluation index of each marketing personnel is calculated by the formula:

[0030]

[0031] Calculate the skill evaluation index K of marketing personnel numbered i i ;

[0032] Among them, K0 is the basic skill evaluation index; Z is the total number of customers of the marketing personnel numbered i, z∈Z; S zn is the total power consumption of the zth customer of the marketing staff numbered i this month; S Yi is the preset electricity sales volume of the marketing staff numbered i this month; fi is the actual line loss rate of the marketing staff numbered i this month; X0 is the basic line loss rate; X Yi The preset line loss rate for the marketing staff numbered i this month; γ1 is the first weight coefficient; γ2 is the second weight coefficient; γ3 is the third weight coefficient; μ1 is the first adjustment coefficient; μ2 is the second adjustment coefficient; μ3 is the third adjustment coefficient.

[0033] As a further solution of the present invention: in step S40, the process of determining the level of the marketing personnel numbered i is as follows:

[0034] The skill evaluation index K of the marketing personnel numbered i i Compared with the first preset value R1, the second preset value R2 and the third preset value R3, R1>R2>R3;

[0035] When K i>R1, the marketing staff numbered i is rated as level one;

[0036] When R1>K i >R2, the marketing staff numbered i is rated as level 2;

[0037] When R2>K i >R3, the marketing staff numbered i is rated as level three;

[0038] When R3>K i , the marketing staff numbered i is rated as level four.

[0039] Beneficial effects of the present invention:

[0040] (1) The present invention obtains first power consumption data by respectively setting up a first monitoring module at the connection point between the power supply grid and the customer's grid; divides each customer's power consumption area into a number of power consumption units to obtain second power consumption data of each power consumption unit; analyzes the first power consumption data, the second power consumption data and the customer information data through an analysis module, and conducts a business evaluation on each marketing personnel; and evaluates the marketing personnel from multiple aspects, thereby improving the marketing awareness and enthusiasm of the marketing personnel and increasing the power company's electricity sales. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] Figure 1 The present invention is a method flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0043] 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 only 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.

[0044] See also Figure 1 As shown, in one embodiment, a power supply marketing management method based on user power consumption metering data analysis is provided, and the management method includes the following steps:

[0045] S1: Numbering: Each marketing staff is numbered through the employee module, numbered i;

[0046] S2: Obtain customer information data: Obtain customer information data of each marketing staff through the customer management module;

[0047] S3: Obtaining first power consumption data: by respectively setting a first monitoring module at the connection point between the power supply grid and the customer's grid, for monitoring the power consumption of each customer, and obtaining the first power consumption data of each customer;

[0048] S4: Division: Divide each customer's electricity consumption area into several electricity consumption units;

[0049] S5: Obtaining second power consumption data: by setting a second monitoring module at the power consumption unit to monitor the power consumption of each power consumption unit, obtaining the second power consumption data of each power consumption unit;

[0050] S6: Determine the level: Analyze the first power consumption data of each customer, the second power consumption data of each customer's power consumption unit, and the customer information data through the analysis module to obtain the skill evaluation index of each marketing personnel; determine the level of each marketing personnel by analyzing the skill evaluation index;

[0051] Through the above technical scheme, this embodiment uses the employee module to number each marketing personnel, and the number is i; obtains the customer information data of each marketing personnel through the customer management module; sets a first monitoring module at the connection point between the power supply grid and the customer's grid to monitor the power consumption of each customer and obtain the first power consumption data of each customer; divides each customer's power consumption area into several power consumption units; sets a second monitoring module at the power consumption unit to monitor the power consumption of each power consumption unit and obtain the second power consumption data of each power consumption unit; analyzes the first power consumption data of each customer, the second power consumption data of each customer's power consumption unit and the customer information data through the analysis module to obtain the skill evaluation index of each marketing personnel; determines the level of each marketing personnel by analyzing the skill evaluation index; and improves the marketing awareness and enthusiasm of the marketing personnel and increases the power sales volume of the power company by evaluating the marketing personnel based on multiple aspects of their performance.

[0052] As an implementation mode of the present invention, the first power consumption data includes the total power consumption of the customer; the second power consumption data includes the power consumption of the power unit of the power unit; the customer information data includes the customer status;

[0053] The customer status includes completed transaction and pending transaction;

[0054] The analysis process of the analysis module is as follows:

[0055] S10: Analyze the total power consumption of the customers of the marketing staff numbered i last month and the number of customers in the pending transaction state before the beginning of this month to obtain the preset power sales volume for this month;

[0056] S20: Obtain the actual line loss rate of the marketing staff numbered i this month by analyzing the total power consumption of the customers of the marketing staff numbered i this month and the power consumption of all power consumption units of each customer;

[0057] S30: Obtaining a skill evaluation index of the marketing staff numbered i by analyzing the preset power sales volume of the marketing staff numbered i this month, the actual line loss rate of the marketing staff numbered i this month, and the total power consumption of the customers this month;

[0058] S40: determining the level of the marketing personnel numbered i by analyzing the skill evaluation index of the marketing personnel numbered i;

[0059] Through the above technical scheme, this embodiment obtains the preset electricity sales amount for this month by analyzing the total electricity consumption of the customers of the marketing personnel numbered i last month and the number of customers who were in the pending transaction status before the beginning of this month; then, the actual line loss rate of the marketing personnel numbered i this month is obtained by analyzing the total electricity consumption of the customers of the marketing personnel numbered i this month and the electricity consumption of all electricity units of each customer; then, the skill evaluation index of the marketing personnel numbered i is obtained by analyzing the preset electricity sales amount for this month, the actual line loss rate this month, and the total electricity consumption of the customers this month of the marketing personnel numbered i; finally, the level of the marketing personnel numbered i is determined by analyzing the skill evaluation index of the marketing personnel numbered i.

[0060] As an implementation mode of the present invention, in step S10, the preset power sales volume S of the marketing personnel numbered i for this month is Yi To pass the formula:

[0061]

[0062] Among them, S zp is the total power consumption of the zth customer of the marketing staff numbered i in the previous month; D P The number of statutory working days in the previous month; D n is the statutory working days of the month; M i is the number of customers whose status is pending transaction before the beginning of this month for the marketing staff numbered i; ε is the basic customer conversion rate; S b The monthly basic power consumption of new customers who have completed transactions this month;

[0063] Through the above technical solution, this embodiment Preset the electricity sales volume for customers who have completed transactions this month; M i *ε*S b The preset electricity sales amount is the preset electricity sales amount for new customers who have made transactions this month. By dividing the preset electricity sales amount for this month into the preset electricity sales amount for customers who have already made transactions this month and the preset electricity sales amount for new customers, the preset electricity sales amount for this month can be set more reasonably.

[0064] It should be noted that the basic customer conversion rate ε and the monthly basic power consumption of new customers who have completed transactions this month are preset values, which are obtained based on experience and will not be elaborated here.

[0065] As an implementation mode of the present invention, in step S20, the actual line loss rate X of the marketing personnel numbered i in this month is fi To pass the formula:

[0066]

[0067] Where M is the total number of electricity units of the zth customer of the marketing staff numbered i, m∈M; S m The power consumption of the mth power unit of the zth customer of the marketing staff numbered i;

[0068] Through the above technical solution, this embodiment The total power consumption of the M power units of the zth customer; is the total electricity unit consumption of all customers of the marketing staff numbered i; is the total electricity consumption of all customers and the total electricity consumption of all customers’ electricity units; The larger the X fi The greater the line loss rate.

[0069] As an implementation mode of the present invention, in step S30, the skill evaluation index of each marketing personnel is calculated by the formula:

[0070]

[0071] Calculate the skill evaluation index K of marketing personnel numbered i i ;

[0072] Among them, K0 is the basic skill evaluation index; Z is the total number of customers of the marketing personnel numbered i, z∈Z; S zn is the total power consumption of the zth customer of the marketing staff numbered i this month; S Yi is the preset electricity sales volume of the marketing staff numbered i this month; fi is the actual line loss rate of the marketing staff numbered i this month; X0 is the basic line loss rate; X Yi The preset line loss rate for the marketing staff numbered i this month; γ1 is the first weight coefficient; γ2 is the second weight coefficient; γ3 is the third weight coefficient; μ1 is the first adjustment coefficient; μ2 is the second adjustment coefficient; μ3 is the third adjustment coefficient;

[0073] Through the above technical solution, this embodiment is the total electricity sales of the marketing staff numbered i this month; The difference between the total electricity sales of the marketing staff numbered i this month and the preset electricity sales this month; is the ratio of the difference between the total electricity sales of the marketing personnel numbered i this month and the preset electricity sales of this month to the preset electricity sales of this month; When , it means that the total electricity sales of the marketing personnel numbered i this month exceeds the preset electricity sales of this month; the ratio of the difference between the total electricity sales of the marketing personnel numbered i this month and the preset electricity sales of this month to the preset electricity sales of this month The larger the value is, the better the sales skills of the marketing staff with the ID number i are this month. Therefore, the skill evaluation index K of the marketing staff with the ID number i is i The bigger; when , it means that the total electricity sales of the marketing personnel numbered i this month is lower than the preset electricity sales of this month; the absolute value of the difference between the total electricity sales of the marketing personnel numbered i this month and the preset electricity sales of this month and the ratio of the preset electricity sales of this month The larger the value, the worse the sales skills of the marketing staff with the ID number i are this month. Therefore, the skill evaluation index K of the marketing staff with the ID number i is i The smaller; X0-X fi The difference between the basic line loss rate of the marketing staff numbered i and the actual line loss rate of this month; is the ratio of the difference between the basic line loss rate of the marketing staff numbered i and the actual line loss rate of this month to the basic line loss rate; , it means that the actual line loss rate of the marketing staff numbered i this month is lower than the basic line loss rate; it means that the power consumption plan planned by the marketing staff when serving customers has a low line loss rate, which saves costs for customers. The ratio of the difference between the basic line loss rate of the marketing staff numbered i and the actual line loss rate this month to the basic line loss rate The larger the value, the better the customer service skills of the marketing staff with the ID number i. Therefore, the skill evaluation index K of the marketing staff with the ID number i is i The bigger; when , it means that the actual line loss rate of the marketing staff numbered i this month is higher than the basic line loss rate; the absolute value of the ratio of the difference between the basic line loss rate of the marketing staff numbered i and the actual line loss rate this month to the basic line loss rate The larger the value, the worse the customer service skills of the marketing staff with the ID number i are. Therefore, the skill evaluation index K of the marketing staff with the ID number i is i The smaller; X fi -X Yi The difference between the actual line loss rate of the marketing staff numbered i this month and the preset line loss rate this month; The absolute value of the difference between the actual line loss rate of the marketing staff numbered i this month and the preset line loss rate of this month and the ratio of the preset line loss rate of this month; The absolute value of the difference between the actual line loss rate of the marketing staff numbered i this month and the preset line loss rate of this month and the ratio of the preset line loss rate of this month The smaller the value, the smaller the deviation between the preset line loss rate of this month calculated by the marketing staff numbered i when planning the power consumption plan for the customer service and the actual line loss rate of this month. This indicates that the professional skills of the marketing staff numbered i are better. Therefore, the skill evaluation index K of the marketing staff numbered i is i The larger the value, the ratio of the absolute value of the difference between the actual line loss rate of the marketing personnel numbered i this month and the preset line loss rate of this month to the preset line loss rate of this month. The larger the value, the greater the deviation between the preset line loss rate of this month calculated by the marketing staff numbered i when planning the power consumption plan for the customer service and the actual line loss rate of this month. This indicates that the professional skills of the marketing staff numbered i are worse. Therefore, the skill evaluation index K of the marketing staff numbered i is i The smaller;

[0074] It should be noted that the basic skill evaluation index K0, basic line loss rate X0, first weight coefficient γ1, second weight coefficient γ2, third weight coefficient γ3, first adjustment coefficient μ1, second adjustment coefficient μ2 and third adjustment coefficient μ3 are preset values. According to experience, the preset line loss rate X0 of the marketing staff numbered i for this month is Yi It is calculated based on the electricity consumption plan planned by marketing personnel for customers. The specific calculation method is existing technology and will not be described in detail here.

[0075] As an implementation of the present invention, in step S40, the process of determining the level of the marketing personnel numbered i is as follows:

[0076] The skill evaluation index K of the marketing personnel numbered i i Compared with the first preset value R1, the second preset value R2 and the third preset value R3, R1>R2>R3;

[0077] When K i >R1, the marketing staff numbered i is rated as level one;

[0078] When R1>K i >R2, the marketing staff numbered i is rated as level 2;

[0079] When R2>K i >R3, the marketing staff numbered i is rated as level three;

[0080] When R3>K i When , the marketing staff numbered i is rated as level 4;

[0081] Through the above technical solution, this embodiment will be numbered i marketing personnel skill evaluation index K i Compared with the first preset value R1, the second preset value R2 and the third preset value R3, R1>R2>R3; when K i >R1, it means that the marketing staff with number i has excellent performance and is rated as level one; when R1>K i >R2, it means that the marketing staff with the ID number i performs well and is rated as level 2; when R2>K i >R3, it means that the marketing staff with the ID number i performs generally and is rated as level three; when R3>K i When , it means that the marketing staff with number i performs poorly and is rated as level four;

[0082] It should be noted that the first preset value R1, the second preset value R2 and the third preset value R3 are preset values, which are obtained based on experience and will not be described in detail herein.

[0083] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A power supply marketing management method based on user electricity metering data analysis, characterized in that: The management method The following steps are involved: S1: Numbering: Each marketing staff is numbered through the employee module, numbered i; S2: Obtain customer information data: Obtain customer information data of each marketing staff through the customer management module; S3: Obtaining first power consumption data: by respectively setting a first monitoring module at the connection point between the power supply grid and the customer's grid, for monitoring the power consumption of each customer, and obtaining the first power consumption data of each customer; S4: Division: Divide each customer's electricity consumption area into several electricity consumption units; S5: Obtaining second power consumption data: by setting a second monitoring module at the power consumption unit to monitor the power consumption of each power consumption unit, obtaining the second power consumption data of each power consumption unit; S6: Determine the level: Analyze the first electricity consumption data of each customer, the second electricity consumption data of each customer's electricity consumption unit and the customer information data through the analysis module to obtain the skill evaluation index of each marketing personnel; determine the level of each marketing personnel by analyzing the skill evaluation index.

2. A power supply marketing management method based on user electricity metering data analysis according to claim 1, characterized in that: The first power consumption data includes the total power consumption of the customer; the second power consumption data includes the power consumption of the power consumption unit of the power consumption unit; the customer information data includes the customer status; The customer status includes completed transaction and pending transaction.

3. A power supply marketing management method based on user electricity metering data analysis according to claim 2, characterized in that: The analysis process of the analysis module is as follows: S10: Analyze the total power consumption of the customers of the marketing staff numbered i last month and the number of customers in the pending transaction state before the beginning of this month to obtain the preset power sales volume for this month; S20: Obtain the actual line loss rate of the marketing staff numbered i this month by analyzing the total power consumption of the customers of the marketing staff numbered i this month and the power consumption of all power consumption units of each customer; S30: Obtaining a skill evaluation index of the marketing staff numbered i by analyzing the preset power sales volume of the marketing staff numbered i this month, the actual line loss rate of the marketing staff numbered i this month, and the total power consumption of the customers this month; S40: Determine the level of the marketing personnel numbered i by analyzing the skill evaluation index of the marketing personnel numbered i.

4. A power supply marketing management method based on user electricity metering data analysis according to claim 3, characterized in that: In step S10, the preset electricity sales volume S of the marketing staff numbered i for this month is Yi To pass the formula: Among them, S zp is the total power consumption of the zth customer of the marketing staff numbered i in the previous month; D P The number of statutory working days in the previous month; D n is the statutory working days of the month; M i is the number of customers whose status is pending transaction before the beginning of this month for the marketing staff numbered i; ε is the basic customer conversion rate; S b It is the monthly basic electricity consumption of new customers who have completed transactions this month.

5. A power supply marketing management method based on user electricity metering data analysis according to claim 4, characterized in that: In step S20, the actual line loss rate X of the marketing staff numbered i in this month is fi To pass the formula: Where M is the total number of electricity units of the zth customer of the marketing staff numbered i, m∈M; S m The power consumption of the m-th power unit of the z-th customer of the marketing personnel numbered i.

6. A power supply marketing management method based on user electricity metering data analysis according to claim 5, characterized in that: The levels include primary, secondary, tertiary and quaternary.

7. A power supply marketing management method based on user electricity metering data analysis according to claim 6, characterized in that: In step S30, the skill evaluation index of each marketing personnel is calculated by the formula: Calculate the skill evaluation index K of marketing personnel numbered i i ; Among them, K0 is the basic skill evaluation index; Z is the total number of customers of the marketing personnel numbered i, z∈Z; S zn is the total power consumption of the zth customer of the marketing staff numbered i this month; S Yi is the preset electricity sales volume of the marketing staff numbered i this month; fi is the actual line loss rate of the marketing staff numbered i this month; X0 is the basic line loss rate; X Yi The preset line loss rate for this month for marketing staff numbered i; γ1 is the first weight coefficient; γ2 is the second weight coefficient; γ3 is the third weight coefficient; μ1 is the first adjustment coefficient; μ2 is the second adjustment coefficient; μ3 is the third adjustment coefficient.

8. The power supply marketing management method based on user electricity metering data analysis according to claim 7 is characterized in that: In step S40, the process of determining the level of the marketing staff numbered i is as follows: The skill evaluation index K of the marketing personnel numbered i i Compared with the first preset value R1, the second preset value R2 and the third preset value R3, R1>R2>R3; When K i >R1, the marketing staff numbered i is rated as level one; When R1>K i >R2, the marketing staff numbered i is rated as level 2; When R2>K i >R3, the marketing staff numbered i is rated as level three; When R3>K i , the marketing staff numbered i is rated as level four.

Images