Product marketing strategy determination method and device, medium and equipment

Abstract

The invention relates to the field of finance and the field of computers, and particularly discloses a product marketing strategy determination method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a position point of a target vehicle at each statistical moment; determining a plurality of pieces of parking information of the target vehicle based on the statistical moments and the position points corresponding to the statistical moments; determining the rest time of a target user corresponding to the target vehicle at least based on each piece of parking information of the target vehicle; and determining a product marketing strategy at least based on the rest time. According to the method, the position point of the vehicle at each statistical moment is acquired, so that the parking information of the vehicle can be accurately determined, the product marketing strategy can be reasonably and accurately determined according to the parking information, the subsequent marketing opportunity is more reasonable and accurate, and the marketing efficiency is improved. The problem that busy or driving users are marketed and have no time to know marketing products is avoided, and the marketing conversion rate is improved.

Description

Technical Field

[0001] The present invention relates to the fields of finance and computer technology, and in particular to a method, device, medium and equipment for determining a product marketing strategy. Background Art

[0002] As an important means of transportation, cars are becoming more and more popular. Due to the high price of vehicles, vehicle buyers will use installment loans from financial companies to purchase vehicles. For example, vehicle buyers borrow money from banks or financial leasing companies to purchase vehicles, and then repay the car purchase loans by installment payments or monthly rent payments. Taking financial leasing companies as an example, financial leasing companies provide funds for buyers / lessees to purchase vehicles, and lessees need to pay a certain amount of down payment and pay rent to financial leasing companies every month. In order to ensure the safety of leased assets, leasing companies will install GPS positioning devices on vehicles with the consent of lessees to continuously track the location and use of vehicle assets.

[0003] Therefore, the product marketing method based on GPS positioning equipment was born. However, the existing product marketing method usually obtains the vehicle location and markets the surrounding products based on the vehicle location. However, this marketing strategy is not reasonable and has the problem of low marketing conversion rate. Summary of the invention

[0004] In view of this, the present invention provides a product marketing strategy determination method, device, medium and equipment, the main purpose of which is to solve the problems of unreasonable product marketing strategy determination method and low marketing conversion rate.

[0005] To solve the above problems, the present application provides a method for determining a product marketing strategy, comprising:

[0006] Obtain the location of the target vehicle at each statistical moment;

[0007] Determine some stop information of the target vehicle based on each statistical moment and the location point corresponding to each statistical moment;

[0008] Determining the rest time of the target user corresponding to the target vehicle based at least on the stop information of the target vehicle;

[0009] A product marketing strategy is determined based at least on the rest period.

[0010] To solve the above problems, the present application provides a product marketing strategy determination device, comprising:

[0011] An acquisition module is used to obtain the location of the target vehicle at each statistical moment;

[0012] A first determination module is used to determine a number of stop information of the target vehicle based on each statistical moment and a location point corresponding to each statistical moment;

[0013] A second determination module is used to determine the rest time of the target user corresponding to the target vehicle based at least on the stop information of the target vehicle;

[0014] A marketing module is used to determine a product marketing strategy based at least on the rest time.

[0015] To solve the above problems, the present application provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any of the above-mentioned product marketing strategy determination methods are implemented.

[0016] To solve the above problems, the present application provides an electronic device, comprising at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above-mentioned product marketing strategy determination methods when executing the computer program on the memory.

[0017] A method, device, storage medium and electronic device for determining a product marketing strategy in the present application can accurately determine the vehicle's stop information by obtaining the vehicle's location at each statistical moment, and then determine the target user's work and rest time based on the stop information, that is, obtain the target user's rest time, and then reasonably and accurately determine the product marketing strategy based on the rest time. Ensure that subsequent marketing opportunities are more reasonable and accurate. Avoid the problem of low marketing conversion rate due to busy users having no time to understand marketing products, provide more communication time for online marketing, and improve the conversion success rate of product marketing.

[0018] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0020] Figure 1 This is a flow chart of a method for determining a product marketing strategy according to an embodiment of the present application;

[0021] Figure 2This is a flowchart of a method for determining a product marketing strategy according to another embodiment of the present application;

[0022] Figure 3 This is a structural block diagram of a marketing device according to another embodiment of the present application;

[0023] Figure 4 This is a structural block diagram of a computer device according to an embodiment of the present application;

[0024] Figure 5 This is a structural block diagram of another computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] Various aspects and features of the present application are described herein with reference to the accompanying drawings.

[0026] It should be understood that various modifications may be made to the embodiments of the present application. Therefore, the above description should not be considered as limiting, but only as an example of an embodiment. Other modifications within the scope and spirit of the present application will occur to those skilled in the art.

[0027] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present application and, together with the general description of the present application given above and the detailed description of the embodiments given below, serve to explain the principles of the present application.

[0028] These and other characteristics of the present application will become apparent from the following description of a preferred form of embodiment given as a non-limiting example with reference to the accompanying drawings.

[0029] It should also be understood that although the present application has been described with reference to some specific examples, those skilled in the art will be able to readily implement many other equivalent forms of the present application.

[0030] The above and other aspects, features and advantages of the present application will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.

[0031] Specific embodiments of the present application are described hereinafter with reference to the accompanying drawings; however, it should be understood that the embodiments applied for are merely examples of the present application, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that obscure the present application. Therefore, the specific structural and functional details applied for herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present application in a variety of ways with substantially any suitable detailed structure.

[0032] This specification may use the phrases "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," all of which may refer to one or more of the same or different embodiments according to the present application.

[0033] The embodiment of the present application provides a product marketing strategy determination, which can be applied to electronic devices such as terminals and servers. Taking the server used in a leasing company in the financial field as an example, the server of the leasing company can be an independent server, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms. Figure 1 As shown, the method in this embodiment includes the following steps:

[0034] Step S101, obtaining the position point of the target vehicle at each statistical time;

[0035] In this step, in the financial leasing scenario, the ownership of the vehicle belongs to the leasing company. In order to ensure the asset security of the leasing company, the leasing company will generally install a GPS (Global Positioning System) positioning device on the vehicle purchased by the lessee. The leasing company can obtain the vehicle GPS positioning information after the user's authorization. Specifically, the vehicle GPS can report the longitude and latitude of the location point once every predetermined time, and then obtain the address information based on the longitude and latitude analysis to obtain the location point, thereby obtaining the location point of the target at each statistical moment within the predetermined time period / time range. The predetermined time period / time range can be one week, 10 days, 15 days or one month, etc., which can be set and adjusted according to actual needs.

[0036] Step S102, determining some stop information of the target vehicle based on each statistical moment and the location point corresponding to each statistical moment;

[0037] In this step, the location point can be a point with actual location significance in the map, such as a bank, supermarket, shopping mall, hospital, community, street, etc. Specifically, several driving routes of the target vehicle can be drawn based on the location points and the statistical time of each location point, and then several stop locations can be determined according to the starting point and the end point of the driving route, and the stop time corresponding to the starting point and the end point can be determined at the same time, so as to obtain various stop information. Alternatively, the stop location point can be directly determined according to the distance between the location points, and the stop time of each stop location point can be determined, so as to obtain several stop information.

[0038] Step S103, determining the rest time of the target user corresponding to the target vehicle based at least on the stop information of the target vehicle;

[0039] In the specific implementation process of this step, the target stop information with periodic regularity can be determined from each stop information, and then the rest time can be determined based on the target stop information. Specifically, the target stop time with intersection can be determined according to the stop time in each stop information, so as to determine the target rest time. For example, the stop time of the target vehicle on two consecutive working days is obtained as follows: Monday stays at 18:00-21:00, Tuesday stays at 19:00-20:00, then the intersection of the two is 19:00-20:00, that is, the rest time can be determined as 19:00-20:00. For another example, the stop time of the target vehicle on working days for a week is obtained as follows: Monday stays at 19:00-8:00 the next day, Tuesday stays at 16:30-8:00 the next day, Wednesday stays at 19:30-8:30 the next day..., and so on. After obtaining the stop time of 5 working days in a week, the time intersection can be determined based on these stop times, so as to obtain the rest time.

[0040] Step S104, determining a product marketing strategy based at least on the rest time.

[0041] In the specific implementation process of this step, after obtaining the rest time of the target user, the product marketing strategy can be determined based on the rest time and the user information of the target user. For example, when the rest time is determined to be 19:00-8:00 the next day, the marketing time can be determined as 19:00-20:00 based on the rest time, and then the product marketing strategy can be further determined based on the name, gender, contact information, etc. in the user information.

[0042] The method for determining the product marketing strategy in this embodiment can accurately determine the vehicle's stop information by obtaining the vehicle's location at each statistical moment, and then determine the target user's work and rest time based on the stop information, that is, obtain the target user's rest time, and then reasonably and accurately determine the product marketing strategy based on the rest time. Ensure that the subsequent marketing timing is more reasonable and accurate. Avoid the problem of low marketing conversion rate due to users being too busy to understand the marketing products, provide more communication time for online marketing, and improve the conversion success rate of product marketing.

[0043] Based on the above embodiment, another embodiment of the present application provides a method for determining a product marketing strategy. Taking the method for determining a product marketing strategy applied to a server as an example, the method specifically includes the following steps:

[0044] Step S201, receiving vehicle location information reported by the positioning device at a predetermined time interval to obtain the location point of the vehicle at each statistical moment;

[0045] In this step, the location information may specifically be the longitude and latitude of the vehicle's location. The positioning device may report the location information every 5 minutes or every 10 minutes, and the specific reporting time interval may also be set and adjusted according to actual needs. The positioning device may report the longitude and latitude of the vehicle at each statistical moment, and at the same time report the device number of the positioning device. Thus, the server may determine the vehicle identification and contract number of the target vehicle based on the device number, and then establish an association between the contract, vehicle identification (such as frame number, engine number), device number, reporting time, and the location information, and store it. Specifically, it may be stored in the following form:

[0046]

[0047] Step S202, determining some stop information of the target vehicle based on each statistical moment and the location point corresponding to each statistical moment;

[0048] In this step, after obtaining the longitude and latitude reported by each vehicle, the corresponding location point can be determined according to the longitude and latitude. Subsequently, several stop location points and corresponding stop times can be determined according to the location point to obtain some stop information. Specifically, any one of the following three methods can be used to determine the stop information:

[0049] Method 1: Obtain a first distance of each continuous location point within a target time period; determine whether each location point within the target time period is a stay location point based on the first distance and a predetermined distance threshold, and determine the stay time when it is determined to be a stay location point to obtain the plurality of stay information.

[0050] Specifically, the target time period can be set to 20 minutes, 30 minutes or 40 minutes, etc., and can also be adjusted according to actual needs. The distance threshold can be 300 meters, 500 meters, 800 meters, etc., and can also be adjusted according to actual needs. Taking the target time period as 30 minutes and the distance threshold as 500 meters as an example, the front and rear spacing of continuous position points within 30 minutes can be determined, that is, the first distance is obtained; then determine whether the first distance exceeds 500 meters. If it does not exceed 500 meters, it is determined that the vehicle state within the 30 minutes is a stop state, and each position point within the 30 minutes is a stop position point; on the contrary, if it exceeds 500 meters, it is determined that the vehicle state is in a driving state, and each position point within the 30 minutes is a non-stop position point. By determining the stop position point and the non-stop position point in this way, it can avoid the situation where the driving state caused by traffic jams is counted as the stop state, and it can also avoid the problem that the driving state is divided too finely due to temporary roadside parking and insensitive positioning of GPS equipment, so that the determination of the stop position point is more reasonable and accurate.

[0051] Method 2: Determine the second distance between the target position point and the previous adjacent position point and the third distance between the target position point and the next adjacent position point; when the second distance or the third distance is less than a predetermined distance threshold, determine that the vehicle state of the target position point is a stop state; determine a number of stop position points and the stop time of each stop position point based on the position point where the vehicle state is a stop state; determine the number of stop information based on each of the stop position points and each of the stop times.

[0052] In this method, after obtaining the location points at several statistical moments, the distance between consecutive location points (adjacent location points) can be determined on a daily basis, and whether the vehicle is in a stopped state or a driving state can be determined based on the distance. Then, based on the vehicle state of each location point, the location point in the stopped state can be determined as the stopped location point.

[0053] Method three: determining the driving route of the target vehicle based on each location point and the statistical time corresponding to each location point; determining each stop location point and each stop time of the target vehicle based on the driving route to obtain the plurality of stop information.

[0054] In this method, several driving routes can be determined first, and then the starting point and the end point can be determined as the stop location points according to the driving routes, and then the stop time can be further determined in combination with the statistical time corresponding to the stop location point, so as to obtain some stop information. For example, the analysis shows that the target vehicle travels from A to B between 10:00 and 18:00. It stays at B between 18:00 and 20:00, and B is the stop location point.

[0055] In this step, when determining each stop information of the target vehicle, it can be stored in the following manner:

[0056]

[0057] Step S203, determining target stay information with periodicity from each of the stay information; and determining a rest time based on the target stay information;

[0058] In this step, since large rental companies generally have hundreds of thousands or even millions of customer vehicles, if the current parking status of each vehicle is calculated in real time, a lot of computing resources and IT costs will be consumed. Therefore, when marketing, you can first analyze the rest characteristics of the customer / user based on the customer's historical driving and parking characteristics, and then determine the time window for online marketing, which can save computing resources and improve conversion rates. Only when it is determined that the driving condition of the target vehicle is unstable, then online marketing is carried out according to the real-time status of the vehicle, which can save a lot of costs for real-time calculation of the vehicle's operating status.

[0059] Specifically, the intersection of the target vehicle's stay time on weekdays for two consecutive weeks can be obtained. For example, if the target vehicle stays from 18:00 to 21:00 on Monday and from 19:00 to 20:00 on Tuesday, the intersection of the two is 19:00 to 20:00. Similarly, the stay time on weekdays for two consecutive weeks can be obtained. If there is an intersection time for two consecutive weeks, it is determined that the customer's stay time is periodic and can be used as rest time.

[0060] Step S204, determining a product marketing strategy based at least on the rest time.

[0061] In this step, the following two methods can be used to determine the product marketing strategy.

[0062] Method 1: determining the marketing time based on the rest time, and determining the product marketing strategy based on the marketing time and user information;

[0063] In this method, the marketing time can be comprehensively determined based on the rest time and the working time of the salesperson / manual agent, and then a call is made to the user's terminal device based on the marketing time and user information to carry out manual product marketing. Alternatively, marketing information such as emails and text messages are sent to the user's terminal device based on the marketing time and user information to carry out product marketing, specifically, the marketing of insurance products, financial products, etc.

[0064] Method 2: Determine the marketing time based on the rest time, and determine the product marketing strategy based on the marketing time, user information, and the stop location corresponding to the rest time.

[0065] In this method, the marketing time can be comprehensively determined based on the rest time and the working time of the salesperson / manual seat, and the store or product corresponding to the rest location point can be further determined in combination with the rest time, so that the product marketing strategy can be determined based on the marketing time and the product to be marketed. For example, the insurance outlets and financial outlets near the rest location point can be determined, so that the corresponding insurance products or other financial products can be further determined, and then the product marketing strategy can be determined in combination with the marketing time. This provides a guarantee for the subsequent reasonable and accurate product marketing based on the marketing time in the product marketing strategy.

[0066] In this embodiment, after the marketing time is determined, the information of each customer, such as the contract number, frame number, expected rest time and stay time, can be used as the product marketing strategy and pushed to the telephone sales system. The telephone sales system matches the information of the customer's phone number to form the following data table, which is displayed to the telephone sales personnel for subsequent product marketing;

[0067]

[0068] In this embodiment, telemarketers can make outbound calls manually according to the recommended time in the form, or they can set up automatic robot outbound calls according to the time plan, which can greatly improve the customer answering rate and further increase the possibility of customer marketing success.

[0069] In the present application, in order to make the determined rest time more reasonable, the vehicle type of the target vehicle can be determined first, and then the rest time of the target user corresponding to the target vehicle can be determined based on the vehicle type of the target vehicle and each stop information of the target vehicle. That is, when executing step S203, the specific process is as follows: determine the target stop information with periodicity from each of the stop information; determine the rest time based on the target stop information and the vehicle type.

[0070] In this embodiment, the vehicle type includes any one of the following: commercial vehicle type, passenger vehicle type for passenger transport, and non-operating passenger vehicle type. Among them, commercial vehicle types include vehicles such as trucks and vans; passenger vehicle types for passenger transport include vehicles such as online ride-hailing vehicles. Non-operating passenger vehicle types include vehicles such as private cars.

[0071] In this embodiment, considering that different types of vehicles have different working hours, for example, non-commercial passenger vehicles such as private cars generally work during the day, so when determining the rest time, the evening time can be considered as the rest time. If it is a commercial vehicle (such as a truck) or a passenger vehicle (such as an online car-hailing vehicle), the rest time during the day is generally more accurate, so the daytime time can be considered as the rest time.

[0072] The product marketing strategy determination method in this embodiment integrates vehicle GPS positioning information with online marketing methods to determine the driving / staying status, daily stay habits, etc. of the owner / user, thereby reducing the online marketing interruption to the customer during driving, providing more time for online marketing to communicate with customers, and improving the marketing conversion rate. Different from traditional marketing methods, this method has better effects in the field of automobile marketing.

[0073] Another embodiment of the present application provides a product marketing method, which can be specifically combined with Figure 2 As shown, the following steps are included:

[0074] Step S1, obtaining vehicle GPS data;

[0075] Step S2, analyzing the vehicle stop status;

[0076] In this step, it can be specifically determined whether the target vehicle is in a stationary state or a driving state at each location point, and the stationary time can be determined.

[0077] Step S3, judging whether the stay time is periodic, thereby determining whether the stay time is rest time;

[0078] Step S4, recommending rest time for the online marketing system;

[0079] Step S5, recommending the stay time for the online marketing system;

[0080] Step S6, determining a product marketing strategy based on the rest time or the stay time;

[0081] In this step, the product marketing strategy can be determined based on the rest time. If the user's rest time cannot be determined, the product marketing strategy can be determined based on the stay time, that is, the user's future stay time can be predicted based on the stay time, so as to carry out marketing within the predicted stay time.

[0082] Step S7: Online marketing and transaction.

[0083] The product marketing strategy in this embodiment is determined by integrating the vehicle GPS positioning information with the online marketing method to judge the driving / staying status, daily stay habits, etc. of the owner / user, thereby reducing the online marketing interruption to the customer during driving, providing more time for online marketing to communicate with customers, and improving the marketing conversion rate.

[0084] Another embodiment of the present application provides a device for determining a product marketing strategy, such as Figure 3 As shown, including:

[0085] An acquisition module is used to obtain the location of the target vehicle at each statistical moment;

[0086] A first determination module is used to determine a number of stop information of the target vehicle based on each statistical moment and a location point corresponding to each statistical moment;

[0087] A second determination module is used to determine the rest time of the target user corresponding to the target vehicle based at least on the stop information of the target vehicle;

[0088] A marketing module is used to determine a product marketing strategy based at least on the rest time.

[0089] In the specific implementation of this embodiment, the target vehicle is provided with a positioning device, and the acquisition module is specifically used to: receive the vehicle position information reported by the positioning device at a predetermined time interval to obtain the position point of the vehicle at each statistical moment.

[0090] In the specific implementation process of this embodiment, the first determination module is specifically used to: obtain the first distance of each continuous location point within the target time period; determine whether each location point within the target time period is a stay location point based on the first distance and a predetermined distance threshold, and determine the stay time when it is determined to be a stay location point, so as to obtain the plurality of stay information.

[0091] In the specific implementation process of this embodiment, the first determination module is specifically used to: determine the second distance between the target position point and the previous adjacent position point and the third distance between the target position point and the next adjacent position point; when the second distance or the third distance is less than a predetermined distance threshold, determine that the vehicle state of the target position point is a stop state; determine a number of stop position points and the stop time of each stop position point based on the position point where the vehicle state is a stop state; determine the number of stop information based on each of the stop position points and each of the stop times.

[0092] In the specific implementation process of this embodiment, the second determining module is specifically used to: determine the target stay information with periodicity from each of the stay information; and determine the rest time based on the target stay information.

[0093] In the specific implementation process of this embodiment, the marketing device further includes a type determination module, and the type determination module is used to: determine the vehicle type of the target vehicle;

[0094] The second determination module is specifically used to determine the rest time of the target user corresponding to the target vehicle based on the vehicle type of the target vehicle and the stop information of the target vehicle; the vehicle type includes any one of the following: commercial vehicle type, passenger vehicle type and non-commercial passenger vehicle type.

[0095] In the specific implementation process of this embodiment, the marketing module is specifically used to: determine the marketing time based on the rest time, and determine the product marketing strategy based on the marketing time and user information; or determine the marketing time based on the rest time, and determine the product marketing strategy based on the marketing time, user information and the stop location corresponding to the rest time.

[0096] The marketing device in this embodiment can accurately determine the vehicle's stop information by obtaining the location point of the vehicle at each statistical moment, and then determine the target user's work and rest time based on the stop information, that is, obtain the target user's rest time, and then reasonably and accurately determine the product marketing strategy based on the rest time. Ensure that the subsequent marketing timing is more reasonable and accurate. Avoid the problem of low marketing conversion rate due to busy users and no time to understand the marketing products, provide more time for online marketing to communicate with customers, and improve the conversion success rate of product marketing. The marketing device in this embodiment integrates the vehicle GPS positioning information with the online marketing method, judges the driving / staying status of the owner / user, daily stay habits, etc., reduces the online marketing interruption to the customer during driving, provides more time for online marketing to communicate with customers, and improves the marketing conversion rate. Different from traditional marketing methods, this method is more effective in the field of automobile marketing.

[0097] Another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the following method steps are implemented:

[0098] Step 1: Obtain the location of the target vehicle at each statistical moment;

[0099] Step 2: determining some stop information of the target vehicle based on each statistical moment and the location point corresponding to each statistical moment;

[0100] Step 3: determining the rest time of the target user corresponding to the target vehicle based at least on the stop information of the target vehicle;

[0101] Step 4: Determine a product marketing strategy based at least on the rest time.

[0102] The specific implementation process of the above method steps can refer to the embodiments of any of the above product marketing strategy determination methods, and this embodiment will not be repeated here.

[0103] The storage medium in this application can accurately determine the vehicle's stop information by obtaining the vehicle's location point at each statistical moment, and then determine the target user's work and rest time based on the stop information, that is, obtain the target user's rest time, and then reasonably and accurately determine the product marketing strategy based on the rest time. Ensure that the subsequent marketing timing is more reasonable and accurate. Avoid the problem of low marketing conversion rate due to busy users having no time to understand marketing products, provide more time for online marketing to communicate with customers, and improve the conversion success rate of product marketing.

[0104] Another embodiment of the present application provides a computer device, which may be a server, and its internal structure diagram may be as follows: Figure 4As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile and / or volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external client via a network connection. When the computer program is executed by the processor, it implements the functions or steps of a service-side method for determining a product marketing strategy.

[0105] In one embodiment, a computer device is provided. The computer device may be a client, and its internal structure diagram may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external server through a network connection. When the computer program is executed by the processor, it implements the functions or steps of a client side of a product marketing strategy determination method.

[0106] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0107] Step 1: Obtain the location of the target vehicle at each statistical moment;

[0108] Step 2: determining some stop information of the target vehicle based on each statistical moment and the location point corresponding to each statistical moment;

[0109] Step 3: determining the rest time of the target user corresponding to the target vehicle based at least on the stop information of the target vehicle;

[0110] Step 4: Determine a product marketing strategy based at least on the rest time.

[0111] The specific implementation process of the above method steps can refer to the above-mentioned embodiments for determining any product marketing strategy, and this embodiment will not be repeated here.

[0112] The electronic device in this application can accurately determine the vehicle's stop information by obtaining the vehicle's location at each statistical moment, and then determine the target user's work and rest time based on the stop information, that is, obtain the target user's rest time, and then reasonably and accurately determine the product marketing strategy based on the rest time. Ensure that the subsequent marketing timing is more reasonable and accurate. Avoid the problem of low marketing conversion rate due to busy users having no time to understand marketing products, provide more time for online marketing to communicate with customers, and improve the conversion success rate of product marketing.

[0113] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application. The non-Company software tools or components that appear in the embodiments of the present application are merely examples and do not represent actual use.

Claims

1. A method for determining a product marketing strategy, characterized in that: include: Obtain the location of the target vehicle at each statistical moment; Determine some stop information of the target vehicle based on each statistical moment and the location point corresponding to each statistical moment; Determining the rest time of the target user corresponding to the target vehicle based at least on the stop information of the target vehicle; A product marketing strategy is determined based at least on the rest period.

2. The method according to claim 1, characterized in that The target vehicle is provided with a positioning device, and obtaining the position point of the target vehicle at each statistical moment specifically includes: The vehicle position information reported by the positioning device at a predetermined time interval is received to obtain the position point of the vehicle at each statistical moment.

3. The method according to claim 1, characterized in that The determining of the plurality of stop information of the target vehicle based on the statistical moments and the position points corresponding to the statistical moments specifically includes: Obtain the first distance of each continuous position point within the target time period; Determine whether each location point in the target time period is a stay location point according to the first distance and a predetermined distance threshold, and determine the stay time when it is determined to be a stay location point, so as to obtain the plurality of stay information.

4. The method according to claim 1, characterized in that The determining of the plurality of stop information of the target vehicle based on the statistical moments and the position points corresponding to the statistical moments specifically includes: Determine a second distance between the target location point and the previous adjacent location point and a third distance between the target location point and the next adjacent location point; When the second distance or the third distance is less than a predetermined distance threshold, determining that the vehicle state at the target location point is a stationary state; Determine a plurality of stop locations and a stop time for each stop location based on a location where the vehicle state is a stop state; The plurality of stay information is determined based on the stay locations and the stay times.

5. The method according to claim 1, characterized in that The determining, at least based on each stop information of the target vehicle, the rest time of the target user corresponding to the target vehicle specifically includes: Determining target stay information with periodicity from each of the stay information; The rest time is determined based on the target stay information.

6. The method according to claims 1 to 5, characterized in that The method further includes: determining a vehicle type of the target vehicle; The determining, at least based on each stop information of the target vehicle, the rest time of the target user corresponding to the target vehicle specifically includes: Determining the rest time of the target user based on the vehicle type of the target vehicle and each stop information of the target vehicle; The vehicle type includes any one of the following: a commercial vehicle type, a passenger vehicle type for passenger transport, and a non-commercial passenger vehicle type.

7. The method according to claim 1, characterized in that The determining of the product marketing strategy based at least on the rest time specifically includes: Determine the marketing time based on the rest time, so as to determine the product marketing strategy based on the marketing time and the user information; Alternatively, the marketing time is determined based on the rest time, and the product marketing strategy is determined based on the marketing time, user information, and a stop location corresponding to the rest time.

8. A device for determining a product marketing strategy, characterized in that: include: An acquisition module is used to obtain the location of the target vehicle at each statistical moment; A first determination module is used to determine a number of stop information of the target vehicle based on each statistical moment and a location point corresponding to each statistical moment; A second determination module is used to determine the rest time of the target user corresponding to the target vehicle based at least on the stop information of the target vehicle; A marketing module is used to determine a product marketing strategy based at least on the rest time.

9. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for determining a product marketing strategy according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The method comprises at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for determining a product marketing strategy according to any one of claims 1 to 7 when executing the computer program on the memory.

Images