Analysis method suitable for car purchase intention of user

Abstract

The invention belongs to the technical field of car purchase analysis, and discloses a car purchase intention analysis method suitable for a user, and the method comprises the following specific steps: 1, enabling the user to log in a system, and obtaining a user identity; 2, obtaining the vehicle types (designated vehicle types, intentional vehicle types of user portraits and hot vehicle types) of the user; the scheme provides a relatively automatic and user-friendly design method of a practical tool for acquiring the vehicle purchase price, so that the user can know the concerned vehicle more quickly, can also obtain the specific price of the concerned vehicle quickly and can also know the price change of the concerned vehicle at the first time, and the user experience is improved. In this way, the user can use the vehicle more easily, the aims of achieving the effects that input of user operation is less, and obtained information feedback is more and more timely are achieved, the user can obtain better use experience on similar products, the initial use expectation of the user is achieved, and the purchase interest of the user on the vehicle is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of car purchase analysis, and in particular relates to an analysis method suitable for users' car purchase intentions. Background Art

[0002] When users purchase a car, compared to buying with a loan, buying with full payment not only does not require a mortgage and does not incur any interest, but also does not require the purchase of designated insurance and can transfer the vehicle at any time, which is convenient and saves trouble.

[0003] At present, if users want to know the price and sales channels of a specific car model, taking the Autohome app (the official app of the Autohome website) as an example, there are generally the following channels to operate:

[0004] 1. Communicate online with like-minded car owners through the social forum of the car model to discuss the price;

[0005] 2. Go to the merchant channel of the car series and check the quotes of local merchants;

[0006] 3. Go to the car owner price channel to check the real transaction price of the car model;

[0007] 4. Go to Zhijia Mall to check the relevant e-commerce channel discounts for this model;

[0008] The main disadvantages of this solution are:

[0009] 1. Non-automatic: Users need to actively query various price content sections, query the latest price information, and compare it with their psychological (impression) prices. At the same time, users can quickly understand price changes. If users want to form continuous attention over a period of time, they need to repeat the above series of related manual operations;

[0010] 2. High threshold for users to use: First of all, users need to have sufficient understanding of the content and functions of each section. In addition, if they want to form price attention and price comparison, they need to do it manually. Users need to have a continuous price record as a comparison sample. This is undoubtedly difficult for ordinary users to achieve, so it needs to be improved. Summary of the invention

[0011] The purpose of the present invention is to provide an analysis method suitable for users' car purchasing intentions to solve the problems raised in the above background technology.

[0012] In order to achieve the above object, the present invention provides the following technical solution: a method for analyzing user's car purchase intention, the specific steps are as follows:

[0013] Step 1: The user logs in to the system and obtains the user identity;

[0014] Step 2: Get the user's car model (specified car model, user profile's intended car model, popular car model);

[0015] Step 3: Summarize vehicle model information and mark vehicle model priorities to prepare for subsequent data display to users. If there is enough data, data with high priority will be displayed first;

[0016] Step 4: Get the corresponding price and discount information based on the vehicle model information;

[0017] Step 5: Calculate the current price information and the user's historical price records to provide the user with price change information;

[0018] Step 6: There are two ways to obtain price information:

[0019] 1. Users actively acquire;

[0020] 2. The system automatically monitors the price and preferential policy changes of the car models that the user is interested in, and reminds the user to check when there is an update on the sales information of the car models that the user is interested in.

[0021] Preferably, the login methods of the user login system described in step one include mobile phone number and password login and mobile phone number verification code login, and the user login system also has fingerprint verification login.

[0022] Preferably, the user identity described in step 1 can only be a mobile phone number, and the user identity can be clicked to forget the password when logging in.

[0023] Preferably, in step 2, the vehicle types of the users are usually small cars, micro cars, compact cars and sports utility vehicles, and most of the vehicle types of the users are compact cars and sports utility vehicles.

[0024] Preferably, the vehicle priorities described in step three are divided into Class A, Class B, Class C and Class D, and the vehicle priorities can directly classify users who need to purchase.

[0025] Preferably, the vehicle model information described in step 4 should be the brand of the vehicle and the specific vehicle model of the brand, and the vehicle model information should also be marked with the specific price of each vehicle model.

[0026] Preferably, the price change information described in step five must be for the same vehicle as recorded in the user's history, and the price change must clearly indicate the positive and negative values ​​of the price change.

[0027] Preferably, the automatic monitoring of the system described in step six should update the price of the car model that the user is interested in in real time, and the automatic monitoring of the system can send a text message to the user as soon as the price of the car model that the user is interested in changes.

[0028] Preferably, the user-initiated acquisition described in step 6 should give priority to providing vehicle information that the user has historically paid attention to and information on vehicles of the same type. The user-initiated acquisition can enable the user to obtain the information he wants more comprehensively.

[0029] The beneficial effects of the present invention are as follows:

[0030] This solution provides a relatively automated and user-friendly design method for a practical tool for obtaining vehicle purchase prices, which allows users to learn about the vehicles they are interested in more quickly, and can also quickly obtain the specific prices of the vehicles they are interested in, and can also learn about price changes of the vehicles they are interested in at the first time, which makes it easier for users to get started. The goal is to achieve the effect of reducing user input and obtaining more and more timely information feedback, so that users can get a better user experience on such products, meet their initial usage expectations, and increase their interest in purchasing vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] like Figure 1 As shown, the embodiment of the present invention provides an analysis method suitable for users' car purchase intentions, and the specific steps are as follows:

[0034] Step 1: The user logs in to the system and obtains the user identity;

[0035] Step 2: Get the user's car model (specified car model, user profile's intended car model, popular car model);

[0036] Step 3: Summarize vehicle model information and mark vehicle model priorities to prepare for subsequent data display to users. If there is enough data, data with high priority will be displayed first;

[0037] Step 4: Get the corresponding price and discount information based on the vehicle model information;

[0038] Step 5: Calculate the current price information and the user's historical price records to provide the user with price change information;

[0039] Step 6: There are two ways to obtain price information:

[0040] 1. Users actively acquire;

[0041] 2. The system automatically monitors the price and preferential policy changes of the car models that the user is interested in, and reminds the user to check when there is an update on the sales information of the car models that the user is interested in.

[0042] Users can obtain the vehicle model in the APP and can view the vehicle information at the same time. When viewing the vehicle information, the user can also see the discounted price of the vehicle, so that they can have a more direct and in-depth understanding of the price. When the user pays attention to the vehicle, the APP will automatically calculate the price changes of the vehicle that the user is paying attention to, and send the price change information to the user as soon as possible, so that the user can see the changes in vehicle prices more quickly, so that the user can have a more accurate understanding of the vehicle information. Finally, when the user actively searches for vehicle information, the user can obtain more comprehensive vehicle information, and it can also increase the user's enthusiasm for vehicle search.

[0043] Among them, the login methods for the user login system in step one include mobile phone number and password login and mobile phone number verification code login. The user login system also has fingerprint verification login.

[0044] Mobile phone number verification code login allows operators to log in directly using the verification code when they forget their mobile phone number password. At the same time, operators can also log in using fingerprints on mobile phones with fingerprint locks, allowing users to use multiple login methods to meet their needs.

[0045] Among them, the user identity in step one can only be of one type, which is a mobile phone number. The user identity can be displayed by clicking "Forgot password" when logging in.

[0046] When there is only one mobile phone number for login, the user's login account can be unified as the mobile phone number. At the same time, the user can usually click "Forgot Password" to change the password, so that the password can be retrieved when it is forgotten, and the password can also be more anti-theft.

[0047] Among them, the car models of users in step two are usually small cars, micro cars, compact cars and sports utility vehicles, and most of the users' car models are compact cars and sports utility vehicles.

[0048] At present, most users usually buy sports utility vehicles and compact vehicles after they have a family. This can achieve a win-win situation in terms of economy and use. Sports utility vehicles can carry more people and place more items, while compact vehicles can make choices when placing items, allowing them to be purchased at a lower price.

[0049] Among them, the vehicle priority in step three is divided into Class A, Class B, Class C and Class D. The vehicle priority can directly classify users who need to purchase.

[0050] Grading vehicles can directly screen users to a certain extent. At the same time, users can choose and purchase vehicles according to the vehicle level they want, which can narrow the range of choices for users when purchasing a vehicle.

[0051] Among them, the vehicle model information in step four should be the brand of the vehicle and the specific vehicle model of the brand. The vehicle model information must also indicate the specific price of each vehicle model.

[0052] Users can directly refer to the brand they want, and can also refer to the price according to the model of the vehicle they want. In this way, users can compare vehicles of the same model but different brands, and then they can filter the vehicles.

[0053] Among them, the price change information in step five must be for the same vehicle in the user's historical record, and the price change must clearly indicate the positive and negative values ​​of the price change.

[0054] Through price changes, users can judge whether the price has become higher based on the prices in their historical records. At the same time, when the price becomes higher, users can also compare prices with vehicles of the same level and type to choose a more suitable price.

[0055] Among them, the system automatic monitoring in step six should update the price of the car model that the user is interested in in real time. The system automatic monitoring can send a text message to the user as soon as the price of the car model that the user is interested in changes.

[0056] Real-time updates of car models can allow users to see price changes faster than before. At the same time, sending price information to users as soon as possible can increase user attention, thereby strengthening users' purchasing interest in the vehicles they are interested in.

[0057] Among them, the user-initiated acquisition in step six should give priority to providing vehicle information that the user has historically paid attention to and information on vehicles of the same type. User-initiated acquisition can enable the user to obtain the information he wants more comprehensively.

[0058] Prioritizing the provision of historical vehicles of interest can display information of vehicles of interest and vehicles of the same level to users more quickly. At the same time, users can intuitively search for the information they want when obtaining information themselves.

[0059] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0060] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for analyzing user's car purchase intention, characterized in that: The specific steps are as follows: Step 1: The user logs in to the system and obtains the user identity; Step 2: Get the user's car model (specified car model, user profile's intended car model, popular car model); Step 3: Summarize vehicle model information and mark vehicle model priorities to prepare for subsequent data display to users. If there is enough data, data with high priority will be displayed first; Step 4: Get the corresponding price and discount information based on the vehicle model information; Step 5: Calculate the current price information and the user's historical price records to provide the user with price change information; Step 6: There are two ways to obtain price information: a. Users actively acquire; b. The system automatically monitors the price and preferential policy changes of the car models that the user is interested in, and reminds the user to check when there is an update on the sales information of the car models that the user is interested in.

2. The method for analyzing user's car purchase intention according to claim 1, characterized in that: The login methods of the user login system described in step 1 include mobile phone number and password login and mobile phone number verification code login, and the user login system also has fingerprint verification login.

3. The method for analyzing user's car purchase intention according to claim 1, characterized in that: The user identity described in step 1 can only be a mobile phone number, and the user identity can be clicked on "Forgot password" when logging in.

4. The method for analyzing user's car purchase intention according to claim 1, characterized in that: In step 2, the vehicle types of the users are usually small cars, micro cars, compact cars and sports utility vehicles, and most of the vehicle types of the users are compact cars and sports utility vehicles.

5. The method for analyzing user's car purchase intention according to claim 1, characterized in that: The vehicle priorities described in step three are divided into Class A, Class B, Class C and Class D, and the vehicle priorities can directly classify users who need to purchase.

6. The method for analyzing user's car purchase intention according to claim 1, characterized in that: The vehicle model information described in step 4 should be the brand of the vehicle and the specific vehicle model of the brand. The vehicle model information should also be marked with the specific price of each vehicle model.

7. The method for analyzing user's car purchase intention according to claim 1, characterized in that: The price change information described in step five must be for the same vehicle as recorded in the user's history, and the price change must clearly indicate the positive and negative values ​​of the price change.

8. The method for analyzing user's car purchase intention according to claim 1, characterized in that: The automatic monitoring system described in step six should update the price of the car model that the user is interested in in real time. The automatic monitoring system can send a text message to the user as soon as the price of the car model that the user is interested in changes.

9. The method for analyzing user's car purchase intention according to claim 1, characterized in that: The user-initiated acquisition described in step 6 should give priority to providing vehicle information that the user has historically paid attention to and information on vehicles of the same type. The user-initiated acquisition can enable the user to obtain the information he wants more comprehensively.

Images