CN115170208B - Electric power digital marketing platform based on big data analysis technology - Google Patents
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Abstract
The invention discloses a power digital marketing platform based on a big data analysis technology, which belongs to the field of power and is used for solving the problem that the current adjustment marketing strategy of a power enterprise cannot be suitable for the increasingly fierce market competition and the increasingly personalized and diversified market demand, and comprises a package analysis module, a user power analysis module and an intelligent adaptation module, wherein the user power analysis module is used for analyzing the power use condition of a user, the intelligent adaptation module is used for matching the power package of the user, the package analysis module is used for analyzing the power package in the digital marketing platform, and the digital marketing module sets corresponding marketing strength for the power package in the digital marketing platform according to the heat level.
Description
Technical Field
The invention belongs to the field of electric power, relates to an electric power digital marketing technology, and particularly relates to an electric power digital marketing platform based on a big data analysis technology.
Background
Electric power is energy taking electric energy as power, and discovery and application of the electric power raise the second industrialized climax and are one of three technological revolution in the world, so that the science and technology change the lives of people. At present, a large-scale power system is one of the most important achievements in the history of human engineering science, and is a power generation and consumption system which consists of links of power generation, power transmission, power transformation, power distribution, power utilization and the like. It converts the primary energy of nature into electric power through mechanical energy devices, and then supplies the electric power to each user through power transmission, transformation and distribution.
With the continuous promotion of power system reformation and power selling side release, a competitive pattern of multi-buying and multi-selling and a multi-level power market system are gradually formed, in order to meet market demands in the face of increasingly intense market competition and increasingly personalized and diversified, a power enterprise must adjust marketing strategies, change the traditional marketing mode, and continuously improve the marketing service concept and the energy supply level, so that a power digital marketing platform based on a big data analysis technology is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a power digital marketing platform based on a big data analysis technology.
The technical problem to be solved by the invention is as follows:
how to match corresponding power supply levels based on user data and change a traditional power marketing mode to improve power marketing service and how to accurately obtain marketing effects after power marketing.
The purpose of the invention can be realized by the following technical scheme:
a power digital marketing platform based on big data analysis technology comprises a user terminal, a digital marketing module, a package analysis module, a data acquisition module, a user power analysis module, an intelligent adaptation module, a storage module and a server, wherein the data acquisition module is used for acquiring power consumption data of the user terminal and use data of a power package in the power digital marketing platform and sending the power consumption data to the server;
the user power analysis module is used for analyzing the power use condition of the user, analyzing the power consumption grade of the user under the user type and feeding the power consumption grade back to the server, and the server sends the power consumption grade of the user under the user type to the intelligent adaptation module;
the intelligent adaptation module is connected with a storage module, the storage module is used for storing electric power packages of different user types under different power consumption levels, the intelligent adaptation module is used for matching the electric power packages of the users to obtain adaptive electric power package feedback of the users to the server, the server feeds the adaptive electric power package feedback of the users to the server and sends the adaptive electric power package feedback to the user terminal, and a user at the user terminal confirms the adaptive electric power package and then replaces the adaptive electric power package;
the package analysis module is used for analyzing the electric power packages in the digital marketing platform to obtain the heat level grade of the electric power packages in the digital marketing platform and feeding the heat level grade back to the server, and the server sends the heat level grade of the electric power packages in the digital marketing platform to the data marketing module; the digital marketing module sets corresponding marketing strength for the electric power package in the digital marketing platform according to the heat level;
the digital marketing platform further comprises a marketing analysis module and a management terminal, the data acquisition module is used for acquiring marketing duration of the electric power package in the digital marketing platform corresponding to the marketing strength and using data of the electric power package under the corresponding marketing strength and sending the marketing duration and the using data to the server, and the server sends the marketing duration of the electric power package in the digital marketing platform corresponding to the marketing strength and the using data of the electric power package under the corresponding marketing strength to the marketing analysis module; the marketing analysis module is used for analyzing the marketing effect of the electric power package in the digital marketing platform, the marketing effect grade corresponding to the electric power package or the generated marketing invalid signal are fed back to the server, and the server sends the marketing effect grade or the marketing invalid signal to the corresponding management terminal.
Further, the electricity utilization data are the electricity utilization type and the monthly electricity consumption of the user;
the usage data is the real-time number of users, the accumulated number of unsubscribed users, the accumulated pushing times, the accumulated evaluation number and the accumulated evaluation number of the power package.
Further, the analysis process of the user power analysis module is specifically as follows:
acquiring the power utilization type of a user in the power digital marketing platform, and acquiring a power interval corresponding to the user according to the power utilization type;
then, the monthly power consumption of the user in the electric power digital marketing platform is obtained, and the monthly power consumption of the user is compared with the electric quantity interval of the corresponding user type;
counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the first interval, counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the second interval, and counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the third interval;
the first interval month number, the second interval month number and the third interval month number are compared with each other, if the first interval month number is the maximum value, the power utilization grade of the user under the user type is the first power utilization grade, if the second interval month number is the maximum value, the power utilization grade of the user under the user type is the second power utilization grade, and if the third interval month number is the maximum value, the power utilization grade of the user under the user type is the third power utilization grade.
Further, the electricity utilization types comprise first industrial electricity utilization, second industrial electricity utilization, third industrial electricity utilization and urban and rural resident electricity utilization;
the different types correspond to different electric quantity intervals, the electric quantity intervals comprise a first electric quantity interval, a second electric quantity interval and a third electric quantity interval, the lower limit value of the first electric quantity interval is larger than the upper limit value of the second electric quantity interval, and the lower limit value of the second electric quantity interval is larger than the upper limit value of the third electric quantity interval;
the first electrical level is at a higher level than the second electrical level, which is at a higher level than the third electrical level.
Further, the matching process of the intelligent adaptation module is specifically as follows:
acquiring the current power utilization level of a user under the user type;
if the current power utilization level is the same as the power utilization level obtained through analysis, no operation is carried out, and if the current power utilization level is not the same as the power utilization level obtained through analysis, the power package in the storage module is obtained;
and selecting the power package from the storage module according to the user type and the power utilization grade and taking the power package as an adaptive power package of the user.
Further, the analysis process of the package analysis module is specifically as follows:
acquiring the number of people using the power package in real time, the accumulated evaluation number and the accumulated good evaluation number, and comparing the accumulated good evaluation number with the accumulated evaluation number to obtain the good evaluation rate of the power package;
meanwhile, the accumulated number of unsubscribed people and the accumulated pushing times of the electric power package are obtained;
calculating a package use value of the electric power package in the digital marketing platform;
and comparing the package use value with a package use threshold value, and judging the heat level grade of the electric power package in the digital marketing platform to be a cold electric power package, a medium electric power package or a hot electric power package.
Further, the working process of the digital marketing module is as follows:
if the current power package is a popular power package, acquiring a corresponding favorable rating of the popular power package, if the favorable rating does not exceed a set threshold, not performing any operation, and if the favorable rating exceeds the set threshold, setting a three-level marketing measure;
if the set meal is the medium power set meal, acquiring a good evaluation rate corresponding to the medium power set meal, if the good evaluation rate does not exceed a set threshold value, not performing any operation, and if the good evaluation rate exceeds the set threshold value, setting a secondary marketing measure;
and if the electric power package is a cold electric power package, acquiring a favorable rating corresponding to the medium electric power package, if the favorable rating does not exceed a set threshold, not performing any operation, and if the favorable rating exceeds the set threshold, setting a first-level marketing measure.
Further, the analysis process of the marketing analysis module is specifically as follows:
acquiring the marketing duration of the power package;
if the marketing duration is greater than or equal to the second duration threshold, the marketing effect grade of the power package is an obvious effect grade, if the marketing duration is less than the second duration threshold and greater than or equal to the first duration threshold, the marketing effect grade of the power package is an obvious effect grade, and if the marketing duration is less than the first duration threshold, the marketing effect grade of the power package is an effect micro-effect grade;
different marketing effect grades correspond to different package use difference ranges;
calculating a package use value of the electric power package in the digital platform within the marketing duration, recording the package use value of the electric power package in the digital platform within the marketing duration as a second package use value, and recording the package use value of the electric power package before marketing strength as a first package use value;
if the second set of meal use value is less than or equal to the first set of meal use value, generating a marketing invalid signal, and if the second set of meal use value is greater than the first set of meal use value, subtracting the first set of meal use value from the second set of meal use value to obtain a set meal use difference value before and after marketing strength of the electric power set meal;
and obtaining the marketing effect grade corresponding to the electric power package according to the package use difference value.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps of analyzing the power using condition of a user through a user power analysis module, obtaining the power consumption grade of the user under the user type, sending the power consumption grade to an intelligent adaptation module, matching the power package of the user through the intelligent adaptation module, obtaining the adaptive power package of the user, and sending the adaptive power package to a user terminal.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a block diagram of another system of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With the continuous promotion of power system reformation and power selling side release, a competitive pattern of multi-buying and multi-selling and a multi-level power market system are gradually formed, in the face of increasingly intense market competition and increasingly personalized and diversified adaptation to market demands, a power enterprise must adjust marketing strategies, change the traditional marketing mode, continuously improve the marketing service concept and energy supply level, develop new kinetic energy, new modes and new states, promote the transition of group companies from production type to production service type by using a digital marketing technology, promote the deep fusion of digital technologies represented by big data, cloud computing, internet of things and artificial intelligence with the fields of power market and comprehensive energy service, realize the fusion innovation of the digital technologies and marketing services by the key technology attack of the digital marketing, break through energy trading, user side load characteristic analysis, market competition quotation, demand response, power selling service package design, digital operation and the like, establish a digital marketing technology model and a method, form a digital marketing platform taking a client as the center, realize the timely response of the client demand of the enterprise, enable the enterprise to make an intelligent response to the market demand and quickly respond to the market.
In an embodiment, please refer to fig. 1, a power digital marketing platform based on big data analysis technology is provided, including a user terminal, a digital marketing module, a package analysis module, a data acquisition module, a user power analysis module, an intelligent adaptation module, a storage module, and a server;
in this embodiment, the user terminal is configured to register a login system after a user inputs personal information, and send the personal information to a server for storage, where the personal information includes a name of the user, a mobile phone number authenticated by a real name, and the like;
the data acquisition module is used for acquiring power consumption data of a user terminal and use data of a power package in a power digital marketing platform, and sending the power consumption data and the use data to the server, the server sends the power consumption data to the user power analysis module, and the server sends the use data to the package analysis module;
specifically, the electricity consumption data includes electricity consumption types of users, monthly electricity consumption and the like, and the use data includes real-time number of users, accumulated number of unsubscribed users, accumulated pushing times, accumulated evaluation number and the like of the power package;
the user power analysis module is used for analyzing the power use condition of a user, and the analysis process specifically comprises the following steps:
step S1: marking users in the power digital marketing platform as u, u =1,2, … …, and z are positive integers;
step S2: acquiring the power utilization type of a user in the power digital marketing platform, and acquiring a power interval corresponding to the user according to the power utilization type;
the electricity utilization types comprise first industrial electricity utilization, second industrial electricity utilization, third industrial electricity utilization and urban and rural resident electricity utilization, the different types correspond to different electricity quantity intervals, the electricity quantity intervals comprise a first electricity quantity interval, a second electricity quantity interval and a third electricity quantity interval, the lower limit value of the first electricity quantity interval is larger than the upper limit value of the second electricity quantity interval, and the lower limit value of the second electricity quantity interval is larger than the upper limit value of the third electricity quantity interval;
and step S3: acquiring the monthly power consumption YDLu of the users in the electric power digital marketing platform, and comparing the monthly power consumption of the users with the electric quantity intervals of the corresponding user types;
and step S4: counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the first interval, counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the second interval, and counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the third interval;
step S5: comparing the first interval month number, the second interval month number and the third interval month number;
if the number of monthly copies in the first interval is the maximum value, the electricity utilization grade of the user under the user type is the first electricity utilization grade;
if the number of monthly copies in the second interval is the maximum value, the electricity utilization level of the user under the user type is a second electricity utilization level;
if the number of monthly copies in the third interval is the maximum value, the electricity utilization grade of the user under the user type is a third electricity utilization grade; the first electric level is higher than the second electric level, and the second electric level is higher than the third electric level;
the user power analysis module feeds back the power utilization level of the user under the user type to the server, and the server sends the power utilization level of the user under the user type to the intelligent adaptation module;
the intelligent adaptation module is connected with a storage module, the storage module is used for storing electric power packages of different user types under different power consumption levels, the intelligent adaptation module is used for matching the electric power packages of the users, the intelligent adaptation module is combined with the user electric power analysis module, the electric power data of the users are started, the matching is carried out to obtain the electric power supply level matched with the users, and the matching process is specifically as follows:
acquiring the current power utilization level of a user under the user type;
if the current power utilization level is the same as the power utilization level obtained through analysis, no operation is carried out, and if the current power utilization level is not the same as the power utilization level obtained through analysis, the power package in the storage module is obtained;
selecting a power package from the storage module according to the type and the power consumption grade of the user and using the power package as an adaptive power package of the user;
the intelligent adaptation module feeds back the adaptive power package of the user to the server, the server feeds back the adaptive power package of the user to the server to be sent to the user terminal, and a user at the user terminal can replace the adaptive power package after confirming the adaptive power package;
in this embodiment, the package analysis module is configured to analyze the power package in the digital marketing platform, where an analysis process specifically includes:
step SS1: marking the power package in the power digital marketing platform as i, i =1,2, … …, and x is a positive integer;
step SS2: acquiring the number of real-time users of the power package, and marking the number of the real-time users as SRi; acquiring the accumulated evaluation number and the accumulated favorable evaluation number of the power package, and comparing the accumulated favorable evaluation number with the accumulated favorable evaluation number to obtain the favorable evaluation rate HLi of the power package;
step SS3: acquiring the accumulated number of the booked persons of the electric power package, and marking the accumulated number of the booked persons as TRi;
and step SS4: acquiring the accumulated pushing times of the power package, and marking the accumulated pushing times as TCi;
and step SS5: by the formula
Calculating to obtain a package use value TSi of the electric power package in the digital marketing platform; in the formula, a1, a2 and a3 are proportionality coefficients with fixed numerical values, and the values of a1, a2 and a3 are all larger than zero;
step SS6: if TSi is less than X1, the heat level grade of the electric power package in the digital marketing platform is a cold electric power package;
if TSi is more than or equal to X1 and less than X2, the heat level grade of the electric power package in the digital marketing platform is a medium electric power package;
if X2 is not more than TSi, the popularity grade of the electric power package in the digital marketing platform is a popular electric power package; wherein X1 and X2 are both set meal use threshold values with fixed numerical values, and X1 is less than X2;
the package analysis module feeds the heat level grade of the electric power package in the digital marketing platform back to the server, and the server sends the heat level grade of the electric power package in the digital marketing platform to the data marketing module;
the digital marketing module sets for corresponding marketing dynamics for electric power package in the digital marketing platform according to the heat level, and the digital marketing module changes traditional electric power marketing mode to effectively promote electric power marketing service and electric power supply level, its working process specifically as follows:
if the current power package is a popular power package, acquiring a corresponding favorable rating of the popular power package, if the favorable rating does not exceed a set threshold, not performing any operation, and if the favorable rating exceeds the set threshold, setting a three-level marketing measure;
if the set meal is the medium power set meal, acquiring a good evaluation rate corresponding to the medium power set meal, if the good evaluation rate does not exceed a set threshold value, not performing any operation, and if the good evaluation rate exceeds the set threshold value, setting a secondary marketing measure;
if the electric power package is a cold electric power package, acquiring a good evaluation rate corresponding to the medium electric power package, if the good evaluation rate does not exceed a set threshold value, not performing any operation, and if the good evaluation rate exceeds the set threshold value, setting a first-level marketing measure;
specifically, the first-level marketing measures include that the cold electric power package is continuously displayed on a home page of the digital marketing platform, the cold electric power package is publicized in a short message notification mode, and corresponding discount is adopted for handling the cold electric power package; the secondary marketing measures are that the cold electric power package is displayed for 12 hours on the home page of the digital marketing platform, and the like; the cold electric power package with the three-level marketing measures is displayed for 6 hours on the home page of the digital marketing platform, and the like, and in specific implementation, the specific marketing measures can be set according to actual conditions, and the implementation only exemplifies part of the marketing measures;
in specific implementation, the beneficial effects brought by the invention are as follows: the method comprises the steps that the power utilization condition of a user is analyzed through a user power analysis module, the power consumption grade of the user under the user type is obtained and is sent to an intelligent adaptation module, the intelligent adaptation module is used for matching the power package of the user, the adaptive power package of the user is obtained and is sent to a user terminal, the method starts from user data, so that the power supply level matched with the user is obtained through matching, meanwhile, the power package in a digital marketing platform is analyzed through a package analysis module, the heat grade of the power package in the digital marketing platform is obtained and is sent to a data marketing module, and the digital marketing module sets corresponding marketing strength for the power package in the digital marketing platform according to the heat grade;
in specific implementation, as shown in fig. 2, the digital marketing platform further includes a marketing analysis module and a management terminal, the management terminal is used for staff of the digital marketing platform to register and log in, the data acquisition module is used for acquiring marketing duration of the electric power package corresponding to the marketing strength in the digital marketing platform and usage data of the electric power package under the corresponding marketing strength, the usage data is the same as the usage data and is not described in detail, and the marketing duration of the electric power package corresponding to the marketing strength in the digital marketing platform and the usage data of the electric power package under the corresponding marketing strength are sent to the server, and the server sends the marketing duration of the electric power package corresponding to the marketing strength in the digital marketing platform and the usage data of the electric power package under the corresponding marketing strength to the marketing analysis module;
marketing analysis module is arranged in analyzing the marketing effect of electric power package in the digital marketing platform, knows the marketing effect of electric power package through marketing measure in the digital marketing platform through marketing analysis module's analysis, and the analytic process specifically as follows:
acquiring the marketing duration of the power package;
if the marketing duration is greater than or equal to the second duration threshold, the marketing effect grade of the electric power package is an effect obvious grade, if the marketing duration is smaller than the second duration threshold and greater than or equal to the first duration threshold, the marketing effect grade of the electric power package is an effect obvious grade, and if the marketing duration is smaller than the first duration threshold, the marketing effect grade of the electric power package is an effect micro-effect grade;
different marketing effect grades correspond to different package use difference ranges;
specific examples are as follows: if the effect level is significant, the package use difference range is (10, 20), if the effect level is significant, the package use difference range is (5, 10), and if the effect level is slight, the package use difference range is (0,5);
calculating to obtain a package use value of the electric power package in the digital platform within the marketing duration by referring to an analysis process of the package analysis module, recording the package use value of the electric power package in the digital platform within the marketing duration as a second package use value, and recording the package use value of the electric power package before marketing strength as a first package use value for convenience of distinguishing;
if the second set of meal use value is smaller than or equal to the first set of meal use value, generating a marketing invalid signal, and if the second set of meal use value is larger than the first set of meal use value, subtracting the first set of meal use value from the second set of meal use value to obtain a meal use difference value before and after marketing of the electric power meal;
obtaining a marketing effect grade corresponding to the electric power package according to the package use difference value;
the marketing analysis module feeds back the marketing effect grade corresponding to the electric power package or the generated marketing ineffective signal to the server, and the server sends the marketing effect grade or the marketing ineffective signal to the corresponding management terminal.
In another embodiment, a working method of a power digital marketing platform based on a big data analysis technology is provided, and the working method specifically includes:
step S101, a data acquisition module acquires power consumption data of a user terminal and use data of a power package in a power digital marketing platform, and sends the power consumption data and the use data to a server, the server sends the power consumption data to a user power analysis module, and the server sends the use data to a package analysis module;
step S102, a user power analysis module analyzes the power use condition of a user, obtains the power consumption type of the user in a power digital marketing platform, obtains a power interval corresponding to the user according to the power consumption type, then obtains the monthly power consumption of the user in the power digital marketing platform, compares the monthly power consumption of the user with the power interval corresponding to the user type, counts the monthly number of the user in a first power interval and records the monthly number as the first interval, counts the monthly number of the user in the first power interval and records the monthly number as the second interval, counts the monthly number of the user in the first power interval and records the monthly number as the third interval, compares the monthly number of the first interval, the monthly number of the second interval and the monthly number of the third interval, if the monthly number of the first interval is the maximum, the power consumption grade of the user under the user type is the first power grade, if the monthly number of the second interval is the maximum, the power consumption grade of the user under the user type is the first power grade, and the power consumption grade under the user type is matched with the electricity consumption grade from a three-purpose server;
step S103, the intelligent adaptation module is connected with a storage module, the storage module stores electric power packages of different user types under different power consumption levels, the electric power packages of the users are matched through the intelligent adaptation module, the current power consumption levels of the users under the user types are obtained, if the current power consumption levels and the power consumption levels obtained through analysis are the same, no operation is performed, if the current power consumption levels and the power consumption levels obtained through analysis are different, the electric power packages in the storage module are obtained, the electric power packages are selected from the storage module according to the user types and the power consumption levels and serve as the adaptive electric power packages of the users, the intelligent adaptation module feeds the adaptive electric power packages of the users back to the server, the server feeds the adaptive electric power packages of the users back to the user terminal, and users at the user terminal confirm the adaptive electric power packages and then replace the adaptive electric power packages;
step S104, meanwhile, analyzing the power package in the digital marketing platform through a package analyzing module, marking the power package in the power digital marketing platform as i, acquiring the real-time number SRi of users of the power package, then acquiring the accumulated evaluation number and the accumulated favorable evaluation number of the power package, comparing the accumulated favorable evaluation number with the accumulated favorable evaluation number to obtain the favorable evaluation rate HLi of the power package, finally acquiring the accumulated unsubscribe number TRi and the accumulated pushing number TCi of the power package, and obtaining the accumulated unsubscribing number TRi and the accumulated pushing number TCi of the power package through a formula
Calculating to obtain a package service value TSi of the electric power package in the digital marketing platform, if TSi is less than X1, the heat level grade of the electric power package in the digital marketing platform is a cold electric power package, if X1 is less than or equal to TSi and less than X2, the heat level grade of the electric power package in the digital marketing platform is a medium electric power package, if X2 is less than or equal to TSi, the heat level grade of the electric power package in the digital marketing platform is a hot electric power package, a package analysis module feeds the heat level grade of the electric power package in the digital marketing platform back to a server, and the server sends the heat level grade of the electric power package in the digital marketing platform to a data marketing module;
step S105, the digital marketing module sets corresponding marketing strength for the electric power package in the digital marketing platform according to the popularity level, if the electric power package is popular, the favorable rating corresponding to the popular electric power package is obtained, if the favorable rating does not exceed a set threshold, no operation is performed, if the favorable rating exceeds the set threshold, a three-level marketing measure is set, if the electric power package is medium, the favorable rating corresponding to the medium electric power package is obtained, if the favorable rating does not exceed the set threshold, no operation is performed, if the favorable rating exceeds the set threshold, a two-level marketing measure is set, if the electric power package is cold, the favorable rating corresponding to the medium electric power package is obtained, if the favorable rating does not exceed the set threshold, no operation is performed, and if the favorable rating exceeds the set threshold, a one-level marketing measure is set;
step S106, a data acquisition module acquires the marketing duration of the electric power package corresponding to the marketing strength in the digital marketing platform and the use data of the electric power package under the corresponding marketing strength, and transmits the marketing duration of the electric power package corresponding to the marketing strength in the digital marketing platform and the use data of the electric power package under the corresponding marketing strength to a server, the server transmits the marketing duration of the electric power package corresponding to the marketing strength in the digital marketing platform and the use data of the electric power package under the corresponding marketing strength to a marketing analysis module, the marketing effect of the electric power package in the digital marketing platform is analyzed through the marketing analysis module to acquire the marketing duration of the electric power package, if the marketing duration is greater than or equal to a second duration threshold value, the marketing effect grade of the electric power package is a remarkable marketing effect grade, and if the marketing duration is less than the second duration threshold value and greater than or equal to a first duration threshold value, the marketing effect grade of the electric power package is an obvious effect grade, if the marketing duration is less than a first duration threshold value, the marketing effect grade of the electric power package is an effect micro-effect grade, different marketing effect grades correspond to different package use difference value ranges, the package use value of the electric power package in the digital platform within the marketing duration is obtained through calculation by combining the analysis process of the package analysis module, the package use value of the electric power package in the digital platform within the marketing duration is recorded as a second package use value, the package use value of the electric power package before marketing strength is recorded as a first package use value, if the second package use value is less than or equal to the first package use value, a marketing invalid signal is generated, if the second package use value is greater than the first package use value, the package before and after marketing strength of the electric power package is obtained by subtracting the first package use value from the second package use value, so that the package before and after marketing strength is carried out by the electric power package And the marketing effect grade corresponding to the electric power package is obtained by using the difference value according to the package, the marketing effect grade corresponding to the electric power package or the generated marketing invalid signal is fed back to the server by the marketing analysis module, and the marketing effect grade or the marketing invalid signal is sent to the corresponding management terminal by the server.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A power digital marketing platform based on big data analysis technology is characterized by comprising a user terminal, a digital marketing module, a package analysis module, a data acquisition module, a user power analysis module, an intelligent adaptation module, a storage module and a server, wherein the data acquisition module is used for acquiring power consumption data of the user terminal and use data of a power package in the power digital marketing platform and sending the power consumption data and the use data to the server;
the user power analysis module is used for analyzing the power use condition of the user, analyzing the power consumption grade of the user under the corresponding user type and feeding the power consumption grade back to the server, and the server sends the power consumption grade of the user under the corresponding user type to the intelligent adaptation module;
the intelligent adaptation module is connected with a storage module, the storage module is used for storing electric power packages of different user types under different power consumption levels, the intelligent adaptation module is used for matching the electric power packages of the users to obtain adaptive electric power package feedback of the users to the server, the server feeds the adaptive electric power package feedback of the users to the server and sends the adaptive electric power package feedback to the user terminal, and a user at the user terminal confirms the adaptive electric power package and then replaces the adaptive electric power package;
the package analysis module is used for analyzing the electric power packages in the digital marketing platform to obtain the heat level grade of the electric power packages in the digital marketing platform and feeding the heat level grade back to the server, and the server sends the heat level grade of the electric power packages in the digital marketing platform to the data marketing module; the digital marketing module sets corresponding marketing strength for the electric power package in the digital marketing platform according to the heat level;
the digital marketing platform also comprises a marketing analysis module and a management terminal, wherein the data acquisition module is used for acquiring the marketing duration of the electric power package corresponding to the marketing strength in the digital marketing platform and the use data of the electric power package under the corresponding marketing strength and sending the marketing duration and the use data to the server; the marketing analysis module is used for analyzing the marketing effect of the electric power package in the digital marketing platform, the marketing effect grade corresponding to the electric power package or the generated marketing invalid signal are fed back to the server, and the server sends the marketing effect grade or the marketing invalid signal to the corresponding management terminal.
2. The electric power digital marketing platform based on big data analysis technology of claim 1, wherein the electricity utilization data is electricity utilization type and monthly electricity utilization amount of users;
the usage data is the real-time number of users, the accumulated number of unsubscribed users, the accumulated pushing times, the accumulated evaluation number and the accumulated evaluation number of the power package.
3. The electric power digital marketing platform based on big data analysis technology according to claim 1, wherein the analysis process of the user electric power analysis module is as follows:
acquiring the power utilization type of a user in the power digital marketing platform, and acquiring a power interval corresponding to the user according to the power utilization type;
then, the monthly electricity consumption of the user in the electricity digital marketing platform is obtained, and the monthly electricity consumption of the user is compared with the electricity quantity interval of the corresponding user type;
counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the first interval, counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the second interval, and counting the number of months that the monthly electricity consumption of the user is in the first electricity interval and recording the number of months in the third interval;
the first interval month number, the second interval month number and the third interval month number are compared with each other, if the first interval month number is the maximum value, the power utilization grade of the user under the user type is the first power utilization grade, if the second interval month number is the maximum value, the power utilization grade of the user under the user type is the second power utilization grade, and if the third interval month number is the maximum value, the power utilization grade of the user under the user type is the third power utilization grade.
4. The electric power digital marketing platform based on big data analysis technology of claim 3, wherein the electricity utilization types comprise first industrial electricity utilization, second industrial electricity utilization, third industrial electricity utilization and urban and rural resident electricity utilization;
the different types correspond to different electric quantity intervals, the electric quantity intervals comprise a first electric quantity interval, a second electric quantity interval and a third electric quantity interval, the lower limit value of the first electric quantity interval is larger than the upper limit value of the second electric quantity interval, and the lower limit value of the second electric quantity interval is larger than the upper limit value of the third electric quantity interval;
the first electrical level is at a higher level than the second electrical level, which is at a higher level than the third electrical level.
5. The big data analysis technology-based electric power digital marketing platform according to claim 1, wherein the matching process of the intelligent adaptation module is specifically as follows:
acquiring the current power utilization level of a user under the user type;
if the current power utilization level is the same as the power utilization level obtained through analysis, no operation is carried out, and if the current power utilization level is not the same as the power utilization level obtained through analysis, the power package in the storage module is obtained;
and selecting the power package from the storage module according to the user type and the power utilization grade and taking the power package as an adaptive power package of the user.
6. The electric power digital marketing platform based on big data analysis technology according to claim 1, wherein the package analysis module specifically comprises the following steps:
acquiring the number of people using the power package in real time, the accumulated evaluation number and the accumulated good evaluation number, and comparing the accumulated good evaluation number with the accumulated evaluation number to obtain the good evaluation rate of the power package;
meanwhile, the accumulated number of unsubscribes and the accumulated pushing times of the power package are obtained;
calculating a package use value of the electric power package in the digital marketing platform;
and comparing the package use value with a package use threshold value, and judging the heat grade of the electric power package in the digital marketing platform to be a cold electric power package, a medium electric power package or a hot electric power package.
7. The electric power digital marketing platform based on big data analysis technology according to claim 1, wherein the digital marketing module specifically works as follows:
if the current power package is a popular power package, acquiring a corresponding favorable rating of the popular power package, if the favorable rating does not exceed a set threshold, not performing any operation, and if the favorable rating exceeds the set threshold, setting a three-level marketing measure;
if the set meal is the medium power set meal, acquiring a good evaluation rate corresponding to the medium power set meal, if the good evaluation rate does not exceed a set threshold value, not performing any operation, and if the good evaluation rate exceeds the set threshold value, setting a secondary marketing measure;
and if the power package is a cold power package, acquiring a favorable rating corresponding to the medium power package, if the favorable rating does not exceed a set threshold, not performing any operation, and if the favorable rating exceeds the set threshold, setting a first-level marketing measure.
8. The electric power digital marketing platform based on big data analysis technology according to claim 1, wherein the analysis process of the marketing analysis module is as follows:
acquiring the marketing duration of the power package;
if the marketing duration is greater than or equal to the second duration threshold, the marketing effect grade of the electric power package is an effect obvious grade, if the marketing duration is smaller than the second duration threshold and greater than or equal to the first duration threshold, the marketing effect grade of the electric power package is an effect obvious grade, and if the marketing duration is smaller than the first duration threshold, the marketing effect grade of the electric power package is an effect micro-effect grade;
different marketing effect grades correspond to different package use difference ranges;
calculating a package use value of the electric power package in the digital platform within the marketing duration, recording the package use value of the electric power package in the digital platform within the marketing duration as a second package use value, and recording the package use value of the electric power package before marketing strength as a first package use value;
if the second set of meal use value is less than or equal to the first set of meal use value, generating a marketing invalid signal, and if the second set of meal use value is greater than the first set of meal use value, subtracting the first set of meal use value from the second set of meal use value to obtain a set meal use difference value before and after marketing strength of the electric power set meal;
and obtaining the marketing effect grade corresponding to the electric power package according to the package use difference value.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106296260A (en) * | 2016-07-24 | 2017-01-04 | 国家电网公司 | Power consumer package recommendation method under a kind of internet environment |
| CN110717784A (en) * | 2019-09-27 | 2020-01-21 | 国网山东省电力公司昌邑市供电公司 | Electric power marketing system and method based on intelligent management platform |
| CN111967695A (en) * | 2020-09-12 | 2020-11-20 | 浙江大学 | Peak-valley combined power package optimization method for power selling company |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106296260A (en) * | 2016-07-24 | 2017-01-04 | 国家电网公司 | Power consumer package recommendation method under a kind of internet environment |
| CN110717784A (en) * | 2019-09-27 | 2020-01-21 | 国网山东省电力公司昌邑市供电公司 | Electric power marketing system and method based on intelligent management platform |
| CN111967695A (en) * | 2020-09-12 | 2020-11-20 | 浙江大学 | Peak-valley combined power package optimization method for power selling company |
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