Automatic marketing method, device and equipment and storage medium

Abstract

The invention discloses an automatic marketing method, device and equipment and a storage medium, relates to the technical field of marketing, and discloses automatic marketing, comprising the following steps: collecting a use behavior of a consumer using a mobile device; judging whether a network environment where the mobile equipment is located is a network-free environment or not; if it is determined that the network environment is a network-free environment, matching a target marketing strategy corresponding to the use behavior from a super SIM card, the super SIM card being installed in the mobile device; and triggering the target marketing strategy at the mobile device. That is, the target marketing strategy corresponding to the use behavior is matched from the super SIM card, so that the target marketing strategy is prevented from being acquired from the cloud, the corresponding target marketing strategy can still be matched according to the use behavior when the mobile device is in a network-free environment, the target marketing strategy is further timely matched according to the use behavior, and the user experience is improved. And the marketing efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the marketing technical field, and particularly relates to an automatic marketing method, device, equipment and storage medium. BACKGROUND

[0002] With the development of the Internet, the platform contacted by consumers is more and more extensive, and the demand is more and more personalized, therefore, the marketing automation system based on big data and cloud computing platform occupies an increasingly important position in the marketing process.

[0003] At present, the cloud platform is usually used to store the user data of consumers and the marketing strategies to be executed, so as to execute the corresponding marketing strategies according to the execution time in the marketing strategies, and recommend the marketing activities in the corresponding marketing strategies to the consumers. However, the use of the cloud platform to store the user data of consumers and the marketing strategies to be executed needs to rely on the stable operation of the network connection and the cloud platform, and in the environment without network or unstable network or the case of unstable cloud platform, the execution cannot be triggered at the execution time in the marketing strategies, thereby affecting the marketing time for the consumers, and thus leading to low marketing efficiency.

[0004] The above content is only used to assist in understanding the technical solutions of the present application, and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0005] The main purpose of the present application is to provide an automatic marketing method, which aims to solve the technical problem of low marketing efficiency caused by the failure to trigger the execution at the execution time in the marketing strategies in the environment without network or unstable network or the case of unstable cloud platform.

[0006] To achieve the above purpose, the present application provides an automatic marketing method, which comprises the following steps:

[0007] Collecting the use behavior of a consumer using a mobile device;

[0008] Judging whether the network environment where the mobile device is located is a network-free environment;

[0009] If it is determined that the network environment is a network-free environment, matching a target marketing strategy corresponding to the use behavior from a super SIM card installed in the mobile device;

[0010] Triggering the target marketing strategy in the mobile device.

[0011] In an embodiment, the method further comprises the following steps before the step of collecting the use behavior of a consumer using a mobile device:

[0012] Obtaining the operation data of the consumer on the mobile device;

[0013] outputting the operation data into a preset prediction model to determine a behavior prediction value of the consumer;

[0014] if the behavior prediction value meets a preset threshold, arranging a corresponding marketing strategy based on the operation data;

[0015] storing the marketing strategy into the super SIM card.

[0016] In an embodiment, the step of obtaining the operation data of the consumer on the mobile device further comprises:

[0017] obtaining historical use data of a sample mobile device;

[0018] extracting, from the historical use data, transaction history, network behavior, social network interaction and geographic location information of a sample consumer corresponding to the sample mobile device;

[0019] training an initial prediction model constructed by a preset GBDT algorithm according to the transaction history, the network behavior, the social network interaction and the geographic location information to obtain a preset prediction model.

[0020] In an embodiment, the step of determining whether the network environment where the mobile device is located is a no-network environment further comprises:

[0021] if it is determined that the network environment is not a no-network environment, matching a target marketing strategy corresponding to the use behavior from a super SIM card or a preset cloud.

[0022] In an embodiment, the step of triggering the target marketing strategy by the mobile device further comprises:

[0023] if it is determined that the network environment is not a no-network environment, obtaining an execution result of the target marketing strategy;

[0024] optimizing the target marketing strategy based on the execution result to obtain an optimized strategy;

[0025] updating the corresponding marketing strategy in the super SIM card or the preset cloud according to the optimized strategy.

[0026] In an embodiment, the step of optimizing the target marketing strategy based on the execution result to obtain an optimized strategy comprises:

[0027] if the execution result is that the consumer does not participate in a marketing activity corresponding to the target marketing strategy, collecting a reference behavior of the consumer for the target marketing strategy;

[0028] optimizing the target marketing strategy based on the reference behavior to obtain an optimized strategy.

[0029] In addition, to achieve the above object, the application further provides an automatic marketing device, which comprises:

[0030] a collection module, configured to collect a use behavior of a consumer using a mobile device;

[0031] a judgment module, configured to judge whether a network environment where the mobile device is located is a no-network environment;

[0032] a matching module, configured to match a target marketing strategy corresponding to the use behavior from a super SIM card installed in the mobile device if it is determined that the network environment is the no-network environment;

[0033] a triggering operation, configured to trigger the target marketing strategy in the mobile device.

[0034] In addition, to achieve the above object, the application further provides an automatic marketing device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the automatic marketing method as described above.

[0035] In addition, to achieve the above object, the application further provides a storage medium, which is a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the automatic marketing method as described above.

[0036] In addition, to achieve the above object, the application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the steps of the automatic marketing method as described above.

[0037] The one or more technical solutions provided by the application have at least the following technical effects:

[0038] Since the intention of the user can be embodied by the use behavior, the use behavior of the consumer using the mobile device can be acquired to determine the demand of the consumer according to the use behavior, and since the super SIM card is a chip card installed in the mobile device and used, the data stored in the super SIM card can be read when the mobile device is in a network-free environment, so that the marketing activities can be accurately recommended to the consumer in the network-free environment, therefore, after the use behavior is acquired, the target marketing strategy corresponding to the use behavior can be matched from the super SIM card, avoiding acquiring the target marketing strategy from the cloud, realizing that the corresponding target marketing strategy can be matched according to the use behavior when the mobile device is in the network-free environment, and further realizing that the target marketing strategy is timely according to the use behavior, and improving the marketing efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0039] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application.

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings required to be used in the embodiments or prior art description will be briefly introduced. Obviously, those skilled in the art can obtain other drawings according to these drawings without any creative effort.

[0041] Figure 1 The flowchart provided by the first embodiment of the automatic marketing method of the present application;

[0042] Figure 2 The structural diagram of the automatic marketing program platform system provided by the automatic marketing method of the present application;

[0043] Figure 3 The flowchart provided by the second embodiment of the automatic marketing method of the present application;

[0044] Figure 4 The flowchart provided by the second embodiment of the automatic marketing method of the present application;

[0045] Figure 5 The marketing strategy execution flowchart based on the SIM card provided by the automatic marketing method of the present application;

[0046] Figure 6 The module structure diagram of the automatic marketing device of the embodiment of the present application;

[0047] Figure 7 The device structure diagram of the hardware running environment involved in the automatic marketing method in the embodiment of the present application.

[0048] The objectives, functional features and advantages of the present application will be further illustrated in conjunction with the embodiments, with reference to the accompanying drawings. DETAILED DESCRIPTION

[0049] It should be understood that the specific embodiments described herein are merely intended to explain the technical solutions of the present application, and are not intended to limit the present application.

[0050] In order to better understand the technical solutions of the present application, the specific embodiments will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] The main solution of the embodiments of the present application is: collecting the use behavior of the consumer using the mobile device through the automatic marketing program platform; judging whether the network environment where the mobile device is located is a network-free environment; if it is determined that the network environment is a network-free environment, matching the target marketing strategy corresponding to the use behavior from the super SIM card installed in the mobile device; triggering the target marketing strategy in the mobile device.

[0052] In the present embodiment, for the convenience of description, the following is described with the automatic marketing program platform as the execution subject.

[0053] At present, the user data of the consumer and the marketing strategies to be executed are usually stored in the cloud platform, so as to execute the corresponding marketing strategies according to the execution time in the marketing strategies, and recommend the marketing activities in the corresponding marketing strategies to the consumer. However, using the cloud platform to store the user data of the consumer and the marketing strategies to be executed needs to rely on the stable operation of the network connection and the cloud platform, and in the case of network-free environment or unstable network environment or unstable cloud platform, the execution cannot be triggered at the execution time in the marketing strategies, thereby affecting the marketing time for the consumer, and thus leading to low marketing efficiency.

[0054] The present application provides a solution, since the intention of the user can be reflected through the use behavior, the use behavior of the consumer using the mobile device can be obtained, so as to determine the demand of the consumer according to the use behavior, and since the super SIM card is a chip card installed in the mobile device, the data stored in the super SIM card can still be read when the mobile device is in a network-free environment, in order to accurately recommend the marketing activities to the consumer in the network-free environment, the target marketing strategy corresponding to the use behavior can be matched from the super SIM card after the use behavior is obtained, avoiding obtaining the target marketing strategy from the cloud, realizing that the corresponding target marketing strategy can still be matched according to the use behavior when the mobile device is in a network-free environment, and further realizing that the target marketing strategy can be timely according to the use behavior, and improving the marketing efficiency.

[0055] It should be noted that the execution subject of the embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, an automatic marketing program platform, etc. The automatic marketing program platform is taken as an example to describe the embodiment and the following embodiments.

[0056] Based on this, the application embodiment provides an automatic marketing method, referring to Figure 1 , Figure 1 The flowchart of the first embodiment of the automatic marketing method of the application is shown.

[0057] In the embodiment, the automatic marketing method comprises steps S10-S40:

[0058] Step S10, collecting the use behavior of the consumer using the mobile device;

[0059] It should be noted that the mobile device can be a mobile phone, a tablet computer, a computer, a smart watch and the like which can be used for consumption. The use behavior can be the behavior of normally using the mobile device, such as viewing various consumption platforms, transaction behavior, interaction with other mobile devices and social network interaction.

[0060] It can be understood that since the consumer will operate the mobile device according to the will, in order to determine the will demand of the consumer, it is necessary to collect the use behavior of the consumer using the mobile device, that is, the operation behavior, so as to facilitate the automatic marketing program platform to accurately determine the marketing activities to be recommended for the consumer according to the operation behavior. The automatic marketing program platform can be understood as a marketing automation software capable of automatically recommending marketing activities for users according to the will of the users, and the automatic marketing program platform can also generate corresponding marketing strategies according to the use behavior of the user to the mobile device, and can automatically execute the marketing strategies and push personalized content according to the historical behavior and preference settings of the user.

[0061] Step S20, judging whether the network environment where the mobile device is located is a no-network environment;

[0062] It should be noted that the network environment can include a network environment and a no-network environment, wherein the network environment can be an environment in which the mobile device can normally use the network; and the no-network environment is an environment in which the mobile device cannot normally use the network.

[0063] Step S30, if it is determined that the network environment is a no-network environment, matching a target marketing strategy corresponding to the use behavior from a super SIM card installed in the mobile device;

[0064] It should be noted that the super SIM card is a SIM card with a larger storage capacity than a traditional SIM card, which can store more user data and applications, and the super SIM card stores marketing strategies corresponding to various use behaviors. The marketing strategy can be a strategy for attracting consumers to consume on each consumption platform, and the marketing strategy can be cross-platform, for example, a marketing strategy can be developed for consumption platform A, and a marketing strategy can also be developed for consumption platform B. The target marketing strategy can be a marketing strategy corresponding to the use behavior of the consumer.

[0065] It can be understood that since the super SIM card can be used in both network and non-network environments of the mobile device, that is, the mobile device can not only read data from or store data in the super SIM card in a network environment, but also read data from or store data in the super SIM card in a non-network environment, therefore, the marketing strategies corresponding to various use behaviors can be stored in the super SIM card, when the mobile device is in a non-network environment and the use behavior of the consumer on the mobile device is obtained, the consumer's consumption intention can be determined according to the use behavior, and then the marketing strategy corresponding to the use behavior is matched from the super SIM card according to the consumption intention, thereby realizing that when the mobile device is in a non-network environment, the consumer can still be accurately and efficiently recommended marketing activities according to the use behavior of the consumer on the mobile device.

[0066] It can be understood that since the target marketing strategy can be the marketing strategy of any consumption platform, it is not dependent on a specific device or operating system, thereby improving the popularity of the system and the convenience of user access.

[0067] Optionally, if it is determined that the network environment is not a non-network environment, a target marketing strategy corresponding to the use behavior is matched from the super SIM card or a preset cloud.

[0068] It should be noted that the preset cloud can store operation data of each consumer using the mobile device, and can also generate marketing strategies for marketing activities recommended for consumers according to the operation data combined with big data.

[0069] It can be understood that since some marketing activities have a time limit, in order to be able to recommend the marketing activity to the consumer in time within the time range of the marketing activity, when the network environment is a network environment, the target marketing strategy corresponding to the use behavior can be matched from the SIM card to speed up the execution of the marketing strategy, thereby improving the marketing efficiency.

[0070] It can be understood that, since the preset cloud can generate marketing strategies for consumers in real time according to the use behavior, the accuracy of recommending marketing activities for consumers can be improved, and therefore, when there is a large remaining time of the marketing activity, the corresponding target marketing strategy can be determined from the preset cloud according to the use behavior, so as to improve the accuracy of determining the target marketing strategy, and thus improve the marketing efficiency.

[0071] Further, after the target marketing strategy corresponding to the use behavior is determined in the preset cloud, the target marketing strategy can be updated in the corresponding marketing strategy in the super SIM card, so that the correspondence between the marketing strategy stored in the super SIM card and the use behavior is more accurate.

[0072] Step S40, triggering the target marketing strategy in the mobile device.

[0073] It can be understood that, after the target marketing strategy meeting the consumer's consumption intention is determined through the use behavior of the consumer on the mobile device, in order to enable the consumer to receive the marketing activity corresponding to the target marketing strategy in time, it is necessary to automatically trigger the target marketing strategy on the mobile device.

[0074] In a specific implementation, when the mobile device runs the automatic marketing program, the connection between the mobile device and each module or chip is as follows Figure 2 The cross-platform user operation interface is a user interface designed independently of the operating system of the mobile device, allowing the consumer to interact with the marketing engine through SMS, USSD or other interfaces supported by the SIM card. The consumer can set his own preferences, open relevant data and service agreements, etc. through the operation interface. A super SIM card architecture is also provided, which is based on the storage and computing capabilities of the super SIM card. The marketing strategy module is built into the SIM card, mainly responsible for updating, triggering and executing the marketing strategy. The marketing automation engine receives data in the SIM card through over-the-air technology (OTA), analyzes and integrates the data, and thus arranges the marketing strategy that meets the user's needs, and returns the updated marketing strategy to the super SIM card marketing strategy module. The network monitoring module monitors the network connection state of the terminal device. The data storage service is mainly responsible for storing data information including marketing and users.

[0075] It can be understood that, by localizing the marketing logic and user data processing to the SIM card, the dependence on external networks and cloud services is reduced.

[0076] The embodiment provides an automatic marketing method. Since the intention of a user can be embodied by a use behavior, the use behavior of a consumer using a mobile device can be acquired, the demand of the consumer is determined according to the use behavior, and since a super SIM card is a chip card installed in the mobile device, data stored in the super SIM card can be read when the mobile device is in a network-free environment. Therefore, the target marketing strategy corresponding to the use behavior can be matched from the super SIM card after the use behavior is acquired, the target marketing strategy acquired from the cloud is avoided, the target marketing strategy corresponding to the use behavior can be matched when the mobile device is in the network-free environment, the target marketing strategy is further realized in time according to the use behavior, and the marketing efficiency is improved.

[0077] Based on the first embodiment of the application, the same or similar contents as the above embodiment one can be referred to the above description, and will not be described hereinafter. On this basis, please refer to Figure 3 , before step S10, the automatic marketing method further comprises steps S01-S04:

[0078] Step S01, acquiring operation data of the consumer to the mobile device;

[0079] Step S02, outputting the operation data to a preset prediction model to determine a behavior prediction value of the consumer;

[0080] Step S03, if the behavior prediction value meets a preset threshold value, corresponding marketing strategies are arranged based on the operation data;

[0081] Step S04, storing the marketing strategies to the super SIM card.

[0082] It should be noted that the operation data can be the frequency of opening a consumption platform, the time length of each time of watching the consumption platform, the time point, the product browsed on the consumption platform, the chat time length through the mobile device, the chat object and the transaction operation, etc. The behavior prediction value can be the possibility of the behavior predicted by the preset prediction model according to the operation data that the consumer will further operate, for example, the consumer browses a product for 3 minutes, and browses the same type of product for 5 minutes after 10 minutes, and browses the same type of product for 3 minutes, according to the operation data, the possibility of the behavior of the consumer for the product can be predicted according to the preset prediction model. The value range of the possibility can be (-1, 1). The preset threshold value can be the threshold value of the possibility of the consumer to consume, for example, the behavior prediction value is higher than 0.87, which represents that the consumer will consume. The marketing strategy can be a specific marketing strategy such as a full-reduction strategy, an integral strategy and a lottery strategy, etc. determined according to actual conditions.

[0083] It can be understood that in order to make the marketing strategy stored in the super SIM card more accurate in matching the use action, the preset prediction model is used to predict the corresponding marketing strategy according to the operation data of the consumer to the mobile device. Since the preset prediction model is obtained by training the initial training model according to the operation data of the consumer, such as transaction history, network behavior, social network interaction and geographic location information, the preset prediction model can be used to predict the use action corresponding to the operation data of the consumer from multiple aspects, further improving the accuracy of the prediction of the consumer's willingness.

[0084] It can be understood that since the preset prediction model has self-learning performance, the more times the use of the preset prediction model to predict according to the operation data, the more the predicted result (behavior prediction value) conforms to the consumer's consumption willingness, which realizes the accurate prediction of the use behavior of the consumer to be performed according to the operation data. The use behavior can be used to more accurately determine the marketing strategy that meets the consumer's willingness, thereby improving the marketing efficiency.

[0085] Further, before step S01, it further includes:

[0086] obtaining historical use data of a sample mobile device;

[0087] extracting transaction history, network behavior, social network interaction and geographic location information of a sample consumer corresponding to the sample mobile device from the historical use data;

[0088] training an initial prediction model constructed by a preset GBDT algorithm according to the transaction history, the network behavior, the social network interaction and the geographic location information, to obtain a preset prediction model.

[0089] It should be noted that the sample mobile device can be a plurality of different mobile devices of different consumers, and the sample mobile data can include a mobile device currently used by the consumer. The historical use data can be historical use data of a plurality of mobile devices. The transaction history can be historical transaction data of using the mobile device, including transaction amount, transaction time and transaction frequency, etc. The network behavior can be the length of the telephone call, the text information of the sent short message, the published comments, likes and shared contents on the social media, the length of the use of the software and the use frequency, etc. The social network interaction can be the interaction by using the short message and the software with the chatting function of the third party, etc. The geographic location information can be the geographic location positioned by the mobile device, the time of staying at the location and the trajectory of moving, etc. The preset GBDT (Gradient Boosting Decision Tree) algorithm is an iterative decision tree algorithm that combines a plurality of weak learners (usually CART regression tree) into a strong learner by serial training.

[0090] It can be understood that, according to the consumer's transaction history, network behavior, social network interaction and geographic location information, the initial prediction model constructed based on the preset GBDT algorithm is trained to obtain the preset prediction model, which can make the obtained preset prediction model predict from multiple aspects when predicting the possibility of the consumer's behavior according to the operation data, so that the predicted result can better represent the consumer's intention, and thus the marketing strategy formulated for the behavior can be more in line with the consumer's intention, improving the possibility of the consumer participating in the corresponding marketing activity, thereby improving the marketing efficiency.

[0091] In a specific implementation, the specific process of arranging the marketing strategy can be to obtain historical data of a plurality of mobile phone users, perform feature classification on the data types of the plurality of mobile phone users, extract more detailed features and labels of the plurality of mobile phone users in combination with the transaction history, ordinary network behavior, social network interaction and geographic location information of the plurality of mobile phone users; train an initial prediction model constructed based on a preset GBDT algorithm according to the features and labels of the plurality of mobile phone users to obtain a trained prediction model; obtain interaction data of a consumer on a mobile phone, perform feature classification on the data types of the consumer, extract more detailed features and labels of the consumer in combination with the transaction history, online behavior, social network interaction and geographic location information of the consumer, input the features and labels of the consumer into the trained prediction model, and obtain the possibility of the behavior action of the consumer, such as the possibility of purchasing a product using a certain software; the trained prediction model outputs that the possibility of the consumer to a certain behavior exceeds a certain threshold value, and the automatic engine automatically arranges a marketing strategy for the behavior. The automatic engine automatically arranges a marketing strategy of a coupon for the product and sends it to the consumer at an appropriate time, thereby promoting the transaction.

[0092] Based on the first embodiment and the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as the above embodiments can be referred to the above introduction, and will not be described in detail. On this basis, please refer to Figure 4 , after step S40, the automatic marketing method further includes steps S1-S3:

[0093] Step S1, if it is determined that the network environment is not a network-free environment, the execution result of the target marketing strategy is obtained;

[0094] Step S2, optimizing the target marketing strategy based on the execution result to obtain an optimized strategy;

[0095] Step S3, updating the corresponding marketing strategy in the super SIM card or the preset cloud according to the optimized strategy.

[0096] It should be noted that the execution result can be that the consumer participates in the marketing activity corresponding to the target marketing strategy, or that the consumer directly ignores the marketing activity, or that the consumer views the content of the marketing activity and does not participate in the marketing activity, etc. The optimization strategy can be a strategy optimized according to the operation of the consumer for the marketing activity, that is, when the consumer does not participate in the marketing activity, the duration of the consumer viewing the marketing activity and the operation of the consumer during this period are analyzed to further optimize the marketing strategy in combination with the operation and improve the correspondence between the marketing strategy and the use behavior stored in the super SIM card.

[0097] It can be understood that when the mobile device is in a network environment, in order to improve the correspondence between the stored marketing strategy and the use behavior, after executing the target marketing strategy, the target marketing strategy is further optimized according to the participation behavior of the consumer for the marketing activity corresponding to the target marketing strategy, so as to improve the linkage between the marketing strategy and the use behavior, and therefore, the use behavior of the consumer can be more accurately recommended to the consumer, and the marketing efficiency is further improved.

[0098] Further, step S2 comprises:

[0099] If the execution result is that the consumer does not participate in the marketing activity corresponding to the target marketing strategy, the reference behavior of the consumer for the target marketing strategy is collected.

[0100] The target marketing strategy is optimized based on the reference behavior to obtain an optimization strategy.

[0101] It should be noted that the reference behavior can be an operation behavior of the consumer when viewing the marketing activity.

[0102] In a specific implementation, the reference Figure 5 The consumer sets relevant data permissions and protocols on the cross-application operation interface, the operation data of the consumer terminal is transmitted to the super SIM card, the SIM card transmits the data to the marketing automation engine and the cloud server according to the corresponding network environment, the automation engine automatically arranges the marketing strategy according to the data information of the consumer, and synchronizes the arranged marketing strategy to the SIM card marketing strategy module.

[0103] In the formal use of the marketing strategy determined according to the consumer's use behavior, the consumer operates on the terminal, the SIM card collects the consumer's communication behavior (telephone call duration, sent text message, published comments, likes and shared content on social media, etc.) and system use behavior (software use duration, use frequency), etc. After the SIM card collects these behaviors of the consumer, the corresponding strategy is triggered and executed according to the prediction of the possibility of the consumer's behavior in advance and the marketing strategy arranged in advance. The SIM card marketing strategy module feeds back the execution result to the marketing automation engine, and the engine optimizes the strategy again according to the execution result and synchronizes the optimized strategy to the SIM card marketing strategy module, and the cycle is repeated. Under the condition of no network, the marketing strategy module in the SIM card can automatically trigger the strategy stored in the SIM card in advance and execute without relying on the cloud-based automation engine to trigger the marketing strategy.

[0104] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the automatic marketing method of the present application. More forms of simple changes based on this technical concept are within the protection scope of the present application.

[0105] The present application also provides an automatic marketing device, please refer to Figure 6 , the automatic marketing device comprises:

[0106] The collection module 10 is used for collecting the use behavior of the consumer using the mobile device;

[0107] The judgment module 20 is used for judging whether the network environment of the mobile device is a no-network environment;

[0108] The matching module 30 is used for matching the target marketing strategy corresponding to the use behavior from the super SIM card if it is determined that the network environment is a no-network environment, and the super SIM card is installed in the mobile device;

[0109] The trigger module 40 is used for triggering the target marketing strategy in the mobile device.

[0110] Optionally, the collection module 10 is also used for obtaining the operation data of the consumer on the mobile device; outputting the operation data to a preset prediction model to determine the behavior prediction value of the consumer; if the behavior prediction value meets a preset threshold, arranging a corresponding marketing strategy based on the operation data; and storing the marketing strategy to the super SIM card.

[0111] Optionally, the collection module 10 is further configured to acquire historical use data of the sample mobile device, extract transaction history, network behavior, social network interaction and geographic location information of a sample consumer corresponding to the sample mobile device from the historical use data, and train an initial prediction model constructed by a preset GBDT algorithm according to the transaction history, the network behavior, the social network interaction and the geographic location information to obtain a preset prediction model.

[0112] Optionally, the matching module 30 is further configured to, if it is determined that the network environment is not a network-free environment, match a target marketing strategy corresponding to the use behavior from the super SIM card or the preset cloud.

[0113] Optionally, the triggering module 40 is further configured to, if it is determined that the network environment is not a network-free environment, acquire an execution result of the target marketing strategy, optimize the target marketing strategy based on the execution result to obtain an optimized strategy, and update the corresponding marketing strategy in the super SIM card or the preset cloud according to the optimized strategy.

[0114] Optionally, the triggering module 40 is further configured to, if the execution result is that the consumer does not participate in a marketing activity corresponding to the target marketing strategy, collect a reference behavior of the consumer for the target marketing strategy, and optimize the target marketing strategy based on the reference behavior to obtain an optimized strategy.

[0115] The automatic marketing device provided in the present application adopts the automatic marketing method in the above embodiments, and can solve the technical problem that the execution of the marketing strategy cannot be triggered at the execution time in a network-free or unstable network environment or a cloud platform unstable situation, resulting in low marketing efficiency. Compared with the prior art, the automatic marketing device provided in the present application has the same beneficial effects as the automatic marketing method provided in the above embodiments, and other technical features in the automatic marketing device are the same as the features disclosed in the above embodiments, which will not be repeated here.

[0116] The present application provides an automatic marketing device, which comprises at least one processor and a memory in communication connection with the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the automatic marketing method in the above embodiment one.

[0117] The following refers to Figure 7The diagram illustrates a structural schematic suitable for implementing the automated marketing device of the embodiments of this application. The automated marketing device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 7 The automated marketing device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of this application.

[0118] like Figure 7 As shown, the automated marketing device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.) that can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the automated marketing device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the automated marketing equipment to communicate wirelessly or wiredly with other devices to exchange data. While the figure shows automated marketing equipment with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0119] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program codes for executing the method shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network through a communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiments disclosed in the present application are executed.

[0120] The automatic marketing device provided by the present application adopts the automatic marketing method in the above-mentioned embodiments, and can solve the technical problem that the execution time trigger execution in the marketing strategy cannot be executed in the environment without network or unstable network or the case of unstable cloud platform, resulting in low marketing efficiency. Compared with the prior art, the automatic marketing device provided by the present application has the same beneficial effects as the automatic marketing method provided by the above-mentioned embodiments, and other technical features in the automatic marketing device are the same as the features disclosed in the previous embodiment method, which will not be repeated here.

[0121] It should be understood that various parts of the present application can be realized by hardware, software, firmware or their combination. In the description of the above-mentioned embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0122] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0123] The present application provides a computer readable storage medium having stored thereon computer readable program instructions (i.e. computer program) for executing the automatic marketing method in the above-mentioned embodiments.

[0124] The computer readable storage medium provided in the present application may, for example, be a U disk, but is not limited to an electric, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electric connection with one or more conductive wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present embodiment, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer readable storage medium can be transmitted by any suitable medium, including but not limited to an electric wire, an optical cable, an RF (Radio Frequency), etc., or any suitable combination of the above.

[0125] The above computer readable storage medium can be contained in the automated marketing device, or can exist separately without being assembled into the automated marketing device.

[0126] The above computer readable storage medium carries one or more programs, which, when executed by the automated marketing device, cause the automated marketing device to: collect a usage behavior of a consumer using a mobile device; determine whether a network environment in which the mobile device is located is a network-free environment; if it is determined that the network environment is a network-free environment, match a target marketing strategy corresponding to the usage behavior from a super SIM card installed in the mobile device; and trigger the target marketing strategy in the mobile device.

[0127] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0128] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of present application. In this regard, each block in the flow diagrams or block diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may

[0129] The modules involved in the embodiments of the present application can be implemented in the form of software or in the form of hardware. In some cases, the name of the module does not constitute a limitation on the module itself.

[0130] The readable storage medium provided by the present application is a computer readable storage medium, which stores computer readable program instructions (i.e. computer programs) for executing the above-mentioned automatic marketing method, and can solve the technical problem that the execution cannot be triggered at the execution time in the marketing strategy in the environment without network or unstable network or in the case of unstable cloud platform, resulting in low marketing efficiency. Compared with the prior art, the computer readable storage medium provided by the present application has the same beneficial effects as the automatic marketing method provided by the above-mentioned embodiments, which will not be described here.

[0131] The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the automated marketing method as described above.

[0132] The computer program product provided by the application can solve the technical problem that the execution cannot be triggered at the execution time in the marketing strategy in the environment without a network or with unstable network or in the case of unstable cloud platform, resulting in low marketing efficiency. Compared with the prior art, the beneficial effects of the computer program product provided by the application are the same as those of the automated marketing method provided by the above-mentioned embodiments, and are not described here.

[0133] The above only describes some embodiments of the application, and does not limit the patent scope of the application. Any equivalent structural transformation made by using the content of the specification and drawings, or direct / indirect application in other related technical fields within the technical concept of the application is included in the patent protection scope of the application.

Claims

1. An automated marketing method, characterized in that, The method includes: Collect consumer behavior data on mobile device usage. Determine whether the network environment in which the mobile device is located is an offline environment; If the network environment is determined to be a no-network environment, then a target marketing strategy corresponding to the usage behavior is matched from the super SIM card, which is installed in the mobile device; The targeted marketing strategy is triggered on the mobile device.

2. The method as described in claim 1, characterized in that, Prior to the step of collecting consumer mobile device usage behavior data, the following also includes: Obtain the consumer's operation data on the mobile device; The operational data is output to a preset prediction model to determine the predicted value of the consumer's behavior; If the predicted behavior value meets the preset threshold, then the corresponding marketing strategy is arranged based on the operational data; The marketing strategy is stored in the super SIM card.

3. The method as described in claim 2, characterized in that, Prior to the step of acquiring the consumer's operation data on the mobile device, the method further includes: Obtain historical usage data for sample mobile devices; Extract the transaction history, online behavior, social network interaction, and geolocation information of the sample consumers corresponding to the sample mobile devices from the historical usage data; The initial prediction model constructed by the preset GBDT algorithm is trained based on the transaction history, network behavior, social network interaction, and geographical location information to obtain the preset prediction model.

4. The method as described in claim 1, characterized in that, The step of determining whether the network environment in which the mobile device is located is an offline environment also includes: If it is determined that the network environment is not a network-free environment, then a target marketing strategy corresponding to the usage behavior is matched from the Super SIM card or a preset cloud.

5. The method as described in claim 4, characterized in that, The step following the step of triggering the targeted marketing strategy on the mobile device also includes: If it is determined that the network environment is not a network-free environment, then obtain the execution result of the target marketing strategy; Based on the execution results, optimize the target marketing strategy to obtain an optimized strategy; Update the super SIM card or the corresponding marketing strategy in the preset cloud according to the optimization strategy.

6. The method as described in claim 5, characterized in that, The step of optimizing the target marketing strategy based on the execution result to obtain the optimized strategy includes: If the execution result is that the consumer did not participate in the marketing activities corresponding to the target marketing strategy, then the consumer's reference behavior regarding the target marketing strategy will be collected. The target marketing strategy is optimized based on the reference behavior to obtain an optimized strategy.

7. An automated marketing device, characterized in that, The device includes: The data collection module is used to collect consumers' usage behavior on mobile devices; The determination module is used to determine whether the network environment in which the mobile device is located is a network-free environment; A matching module is used to match a target marketing strategy corresponding to the usage behavior from a super SIM card if the network environment is determined to be a no-network environment, wherein the super SIM card is installed in the mobile device; A triggering operation is used to trigger the target marketing strategy on the mobile device.

8. An automated marketing device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the automated marketing method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the automated marketing method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the automated marketing method as described in any one of claims 1 to 6.

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