Customer tracking method and device

Abstract

The embodiment of the invention discloses a customer tracking method and device, and belongs to the technical field of photography application, and the method comprises the steps: a customer registers and logs in, watches an exhibited and publicized example photo, carries out the content recommendation according to the number of times and time of checking the example photo by the customer, and the customer selects the shooting content, fills in the identity information and the photography demand. After shooting is completed, the customer evaluates the shooting process and the shooting result, adjusts and optimizes the shooting content according to the evaluation, sets up a shooting logic tracking tree, selects the current position of the customer from the logic tracking tree according to the shooting content of the customer, and carries out time reservation on the current position of the customer; the subsequent potential shooting content of the customer is acquired according to the current position of the customer, and the customer is regularly pushed according to the subsequent potential shooting content of the customer, so that the potential customer can be converted into the actual customer of the photography store, and the short-term customer can be converted into the long-term customer of the photography store.

Description

Technical Field

[0001] The present application belongs to the field of photography application technology, and specifically, relates to a customer tracking method and device. Background Art

[0002] As people's living standards improve, various leisure and entertainment activities are becoming more and more abundant. In various leisure and entertainment activities, people can not only get good sensory experience, but also improve their quality of life through various leisure and entertainment activities. In people's lives, especially at important moments in life, people often celebrate by taking photos, and capture the beautiful moments in life by taking photos. Therefore, the photography industry has developed rapidly in recent years, and there are more and more photography stores in recent years.

[0003] However, the photography industry has long been operating as a traditional small shop, and the photography service process is complicated and inconsistent, resulting in the photography industry being unable to find a complete and sound marketing and management system to enhance brand value and management efficiency.

[0004] However, whether people can become real customers of the photography store after entering the store for consultation remains to be discussed. The current situation is that it is impossible to obtain customer behavior and effectively convert potential customers into actual customers of the photography store. It is also impossible to track customer behavior and effectively convert short-term customers into long-term customers of the photography store. Summary of the invention

[0005] In order to solve the above problems and technical defects, the embodiment of the present application adopts the following technical solution, a customer tracking method, comprising the following steps:

[0006] Step 1: The customer registers and logs in, views the sample photos for exhibition promotion, and content recommendations are made based on the number of times and time the customer views the sample photos;

[0007] Step 2: The customer selects the content to be photographed, fills in the identity information and photography requirements, and makes an appointment. The customer selects a suitable photographer to perform the photography work based on the content filled in and selected by the user;

[0008] Step 3: After the shooting is completed, the customer evaluates the shooting process and results, and adjusts and optimizes the shooting content based on the evaluation;

[0009] Step 4: Set up a shooting logic tracking tree, select the customer's current location from the logic tracking tree based on the customer's shooting content, obtain the customer's subsequent potential shooting content based on the customer's current location, and regularly push the customer's subsequent potential shooting content.

[0010] Preferably, the administrator selects multiple groups of sample photos for exhibition promotion, performs feature extraction on each group of samples and each photo in each group of samples, and obtains features of each group of samples and each photo;

[0011] The extracted features are used as category labels for each group of samples and each photo, and each group of samples and each photo are classified and stored according to the category labels;

[0012] The customer views the sample photos of the exhibition promotion, and obtains the number of times and time the customer views each set of samples and each photo;

[0013] A number threshold and a time threshold are preset. When the number of views and the viewing time of a customer reach one of the number threshold and the time threshold, other samples and photos in the same or similar categories are pushed.

[0014] Furthermore, the category label includes multiple classification levels, and the samples and photos have category labels of multiple different classification levels at the same time. The higher the level of the category label, the smaller the range of features of the category label. Similar categories refer to other category labels under the second highest category label to which the target sample or photo belongs.

[0015] Furthermore, the steps of setting up the logic tracking tree and regularly pushing information to customers are as follows:

[0016] Obtain all business content that can be filmed within the company and generate business nodes based on the business content;

[0017] Generate a logical chain between each business node based on the logical relationship between each business node, and generate a logical tracking tree based on the logical chain between each business node;

[0018] Obtain the corresponding target business node according to the customer's shooting content, and obtain the subsequent business node with a logical chain according to the target business node;

[0019] Get the category label corresponding to the subsequent business node, and push the samples and photos under the category label to the user.

[0020] Furthermore, each of the business nodes corresponds to only one business content, each business content corresponds to only one category label, and the category label corresponding to the business content is the lowest classification level among the category labels.

[0021] A customer tracking device, comprising:

[0022] Login and registration module, used to allow customers to register and log in;

[0023] The publicity and exhibition module is used to view sample photos of exhibition publicity and make content recommendations based on the number of times and time that customers view the sample photos;

[0024] The information registration module allows customers to select the content to be photographed, fill in their identity information and photography requirements, and make an appointment;

[0025] The staff selection module is used to select suitable photography staff to perform photography work according to the content filled in and selected by the user;

[0026] Evaluation and adjustment module, which is used for the customer to evaluate the shooting process and results after the shooting is completed, and adjust and optimize the shooting content according to the evaluation;

[0027] The tracking and push module sets up a shooting logic tracking tree, selects the customer's current location from the logic tracking tree according to the customer's shooting content, obtains the customer's subsequent potential shooting content according to the customer's current location, and regularly pushes the customer's subsequent potential shooting content.

[0028] Preferably, the content recommended according to the number of times and time of viewing the sample photos by the customer is as follows:

[0029] The administrator selects multiple groups of sample photos for exhibition promotion, performs feature extraction on each group of samples and each photo in each group of samples, and obtains the features of each group of samples and each photo;

[0030] The extracted features are used as category labels for each group of samples and each photo, and each group of samples and each photo are classified and stored according to the category labels;

[0031] The customer views the sample photos of the exhibition promotion, and obtains the number of times and time the customer views each set of samples and each photo;

[0032] A number threshold and a time threshold are preset. When the number of views and the viewing time of a customer reach one of the number threshold and the time threshold, other samples and photos in the same or similar categories are pushed.

[0033] Furthermore, the category label includes multiple classification levels, and the samples and photos have category labels of multiple different classification levels at the same time. The higher the level of the category label, the smaller the range of features of the category label. Similar categories refer to other category labels under the second highest category label to which the target sample or photo belongs.

[0034] Furthermore, the steps of setting up the logic tracking tree and regularly pushing information to customers are as follows:

[0035] Obtain all business content that can be filmed within the company and generate business nodes based on the business content;

[0036] Generate a logical chain between each business node based on the logical relationship between each business node, and generate a logical tracking tree based on the logical chain between each business node;

[0037] Obtain the corresponding target business node according to the customer's shooting content, and obtain the subsequent business node with a logical chain according to the target business node;

[0038] Get the category label corresponding to the subsequent business node, and push the samples and photos under the category label to the user.

[0039] Furthermore, each of the business nodes corresponds to only one business content, each business content corresponds to only one category label, and the category label corresponding to the business content is the lowest classification level among the category labels.

[0040] Compared with the prior art, the beneficial effects of the embodiments of the present application are:

[0041] (1) This application obtains the features of each group of samples and each photo by performing feature extraction, uses the features as the category labels of each group of samples and each photo, obtains the number of times and viewing time of each group of samples and each photo by the customer, and pushes other samples and photos of the same or similar categories when the number of views and viewing time of the customer reaches one of the number threshold and the time threshold. If the customer views a sample or photo multiple times or for a long time, it means that the customer is attracted by the sample or photo and wants to take photos of this category. In this way, other samples and photos of the same or similar categories can be used to push accurate content to customers in need, thereby converting potential customers into actual customers of the photography store.

[0042] (2) The present application generates a business node based on the business content, generates a logical tracking tree based on the logical chain between each business node, obtains the subsequent business node with a logical chain based on the target business node, obtains the category label corresponding to the subsequent business node, pushes samples and photos under the category label to the user, obtains the customer's future potential shooting needs based on the logical relationship, and pushes the corresponding content when the conditions are met, predicts, tracks and pushes customer needs, converts short-term customers into long-term customers of the photography store, and increases the business volume of the photography business. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In the attached picture:

[0044] Figure 1 A schematic diagram of the method steps of an embodiment of the present application;

[0045] Figure 2 Schematic diagram of the device structure of an embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Generally, the components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0047] Example 1

[0048] like Figure 1 As shown, a customer tracking method is characterized by comprising the following steps:

[0049] Customers register and log in to view sample photos for exhibition promotion, and content recommendations are made based on the number of times and time the customers have viewed the sample photos;

[0050] The administrator selects multiple groups of sample photos for exhibition promotion, performs feature extraction on each group of samples and each photo in each group of samples, and obtains the features of each group of samples and each photo;

[0051] The extracted features are used as category labels for each group of samples and each photo, and each group of samples and each photo are classified and stored according to the category labels;

[0052] The customer views the sample photos of the exhibition promotion, and obtains the number of times and time the customer views each set of samples and each photo;

[0053] A number threshold and a time threshold are preset. When the number of views and the viewing time of a customer reach one of the number threshold and the time threshold, other samples and photos in the same or similar categories are pushed.

[0054] The number of views and viewing time refer to the number of times and time that a customer repeatedly views a target sample. When a customer repeatedly views a sample or a photo and reaches one of the number threshold and time threshold, it means that the customer is attracted to the sample or photo and wants to take photos of this category. Then other samples and photos of the same and similar categories can be pushed.

[0055] For example, when users want to take wedding photos, they will view samples and photos of the first-level category of "wedding dress". At the same time, the samples and photos also have second-level categories such as indoor, outdoor and others. Under the second-level classification of "outdoor", there are third-level categories such as beaches, grasslands, mountains, rivers, etc.

[0056] Category labels include multiple classification levels. Samples and photos have category labels of multiple different classification levels at the same time. The higher the level of the category label, the smaller the range of features of the category label. Similar categories refer to other category labels under the second highest category label to which the target sample or photo belongs.

[0057] For example, the highest category label of the sample or photo that the customer is viewing now is the third-level classification, which is "grassland". The second-highest category label is the second-level classification, which is "outdoor". The similar categories are the other third-level classifications under the second-level classification "outdoor" except "grassland".

[0058] The customer chooses the shooting content, fills in identity information and photography requirements, makes an appointment, and selects a suitable photographer to perform the shooting work based on the content filled in and selected by the user. After the shooting is completed, the customer evaluates the shooting process and results, and adjusts and optimizes the shooting content based on the evaluation.

[0059] Establish a shooting logic tracking tree, select the customer's current location from the logic tracking tree according to the customer's shooting content, obtain the customer's subsequent potential shooting content according to the customer's current location, and regularly push the customer's subsequent potential shooting content.

[0060] The steps to set up a logical tracking tree and regularly push notifications to customers are as follows:

[0061] Obtain all business content that can be filmed within the company and generate business nodes based on the business content;

[0062] Generate a logical chain between each business node based on the logical relationship between each business node, and generate a logical tracking tree based on the logical chain between each business node;

[0063] Obtain the corresponding target business node according to the customer's shooting content, and obtain the subsequent business node with a logical chain according to the target business node;

[0064] Get the category label corresponding to the subsequent business node, and push the samples and photos under the category label to the user.

[0065] For example, there are "wedding dress", "marriage anniversary", "pregnancy anniversary", "baby's full moon", "baby's first birthday" and "family portrait" in the logic tracking tree. The business node corresponding to "wedding dress" has a logical relationship with the business nodes corresponding to "marriage anniversary" and "pregnancy anniversary", and the business node corresponding to "pregnancy anniversary" has a logical relationship with the business node corresponding to "baby's full moon", and the business node corresponding to "baby's first birthday" has a logical relationship with the business nodes corresponding to "baby's first birthday" and "family portrait", and the business node corresponding to "baby's first birthday" has a logical relationship with the business node corresponding to "family portrait".

[0066] The first-level category of the content that the customer chooses to shoot now is "Pregnancy Anniversary", and the corresponding business node is obtained. The subsequent potential shooting content is "Baby's Full Moon". Samples and photos in the category label of "Baby's Full Moon" are pushed to the customer, and more detailed content is pushed based on the number of views and viewing time of the samples and photos in the category label of "Baby's Full Moon".

[0067] Each business node corresponds to only one business content, and each business content corresponds to only one category label. The category label corresponding to the business content is the lowest classification level among the category labels.

[0068] From the above description, it can be seen that in this example,

[0069] Example 2

[0070] like Figure 2 As shown, a customer tracking device comprises:

[0071] Login and registration module, used to allow customers to register and log in;

[0072] The publicity exhibition module is used to view sample photos of exhibition publicity and recommend content based on the number of times and viewing time of the sample photos by customers. The content recommended based on the number of times and viewing time of the sample photos by customers is as follows:

[0073] The administrator selects multiple groups of sample photos for exhibition promotion, performs feature extraction on each group of samples and each photo in each group of samples, and obtains the features of each group of samples and each photo;

[0074] The extracted features are used as category labels for each group of samples and each photo, and each group of samples and each photo are classified and stored according to the category labels;

[0075] The customer views the sample photos of the exhibition promotion, and obtains the number of times and time the customer views each set of samples and each photo;

[0076] A number threshold and a time threshold are preset. When the number of views and the viewing time of a customer reach one of the number threshold and the time threshold, other samples and photos in the same or similar categories are pushed.

[0077] The category label includes multiple classification levels. Samples and photos have category labels of multiple different classification levels at the same time. The higher the level of the category label, the smaller the range of features of the category label. Similar categories refer to other category labels under the second highest category label to which the target sample or photo belongs.

[0078] The information registration module allows customers to select the content to be photographed, fill in their identity information and photography requirements, and make an appointment;

[0079] The staff selection module is used to select suitable photography staff to perform photography work according to the content filled in and selected by the user;

[0080] Evaluation and adjustment module, which is used for the customer to evaluate the shooting process and results after the shooting is completed, and adjust and optimize the shooting content according to the evaluation;

[0081] Tracking and push module, set up a shooting logic tracking tree, select the customer's current location from the logic tracking tree according to the customer's shooting content, obtain the customer's subsequent potential shooting content according to the customer's current location, and regularly push to the customer based on the customer's subsequent potential shooting content. The steps of setting up a logic tracking tree and regularly pushing to customers are as follows:

[0082] Obtain all business content that can be filmed within the company and generate business nodes based on the business content;

[0083] Generate a logical chain between each business node based on the logical relationship between each business node, and generate a logical tracking tree based on the logical chain between each business node;

[0084] Obtain the corresponding target business node according to the customer's shooting content, and obtain the subsequent business node with a logical chain according to the target business node;

[0085] Get the category label corresponding to the subsequent business node, and push the samples and photos under the category label to the user.

[0086] Each of the business nodes corresponds to only one business content, each of the business content corresponds to only one category label, and the category label corresponding to the business content is the lowest classification level among the category labels.

[0087] The above-mentioned embodiments only express the preferred implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for ordinary technicians in this field, several modifications, improvements and substitutions can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application.

Claims

1. A customer tracking method, characterized in that: The following steps are involved: Step 1: The customer registers and logs in, views the sample photos for exhibition promotion, and content recommendations are made based on the number of times and time the customer views the sample photos; Step 2: The customer selects the content to be photographed, fills in the identity information and photography requirements, and makes an appointment. The customer selects a suitable photographer to perform the photography work based on the content filled in and selected by the user; Step 3: After the shooting is completed, the customer evaluates the shooting process and results, and adjusts and optimizes the shooting content based on the evaluation; Step 4: Set up a shooting logic tracking tree, select the customer's current location from the logic tracking tree based on the customer's shooting content, obtain the customer's subsequent potential shooting content based on the customer's current location, and regularly push the customer's subsequent potential shooting content.

2. A customer tracking method according to claim 1, characterized in that: The administrator selects multiple groups of sample photos for exhibition promotion, performs feature extraction on each group of samples and each photo in each group of samples, and obtains features of each group of samples and each photo; The extracted features are used as category labels for each group of samples and each photo, and each group of samples and each photo are classified and stored according to the category labels; The customer views the sample photos of the exhibition promotion, and obtains the number of times and time the customer views each set of samples and each photo; A number threshold and a time threshold are preset. When the number of views and the viewing time of a customer reach one of the number threshold and the time threshold, other samples and photos in the same or similar categories are pushed.

3. A customer tracking method according to claim 2, characterized in that: The category label includes multiple classification levels. Samples and photos have category labels of multiple different classification levels at the same time. The higher the level of the category label, the smaller the range of features of the category label. Similar categories refer to other category labels under the second highest category label to which the target sample or photo belongs.

4. A customer tracking method according to claim 3, characterized in that: The steps for setting up a logical tracking tree and regularly pushing messages to customers are as follows: Obtain all business content that can be filmed within the company and generate business nodes based on the business content; Generate a logical chain between each business node based on the logical relationship between each business node, and generate a logical tracking tree based on the logical chain between each business node; Obtain the corresponding target business node according to the customer's shooting content, and obtain the subsequent business node with a logical chain according to the target business node; Get the category label corresponding to the subsequent business node, and push the samples and photos under the category label to the user.

5. A customer tracking method according to claim 4, characterized in that: Each of the business nodes corresponds to only one business content, each of the business content corresponds to only one category label, and the category label corresponding to the business content is the lowest classification level among the category labels.

6. A customer tracking device, characterized in that: include: Login and registration module, used to allow customers to register and log in; The exhibition promotion module is used to view sample photos of exhibition promotion and recommend content based on the number of times and time that customers view the sample photos; The information registration module allows customers to select the content to be photographed, fill in their identity information and photography requirements, and make an appointment; The staff selection module is used to select suitable photography staff to perform photography work according to the content filled in and selected by the user; Evaluation and adjustment module, which is used for the customer to evaluate the shooting process and results after the shooting is completed, and adjust and optimize the shooting content according to the evaluation; The tracking and pushing module is used to set up a shooting logic tracking tree, select the customer's current location from the logic tracking tree according to the customer's shooting content, obtain the customer's subsequent potential shooting content according to the customer's current location, and regularly push the customer's subsequent potential shooting content.

7. A customer tracking device according to claim 6, characterized in that: The content recommended based on the number of times and time the customer views the sample photo is as follows: The administrator selects multiple groups of sample photos for exhibition promotion, performs feature extraction on each group of samples and each photo in each group of samples, and obtains the features of each group of samples and each photo; The extracted features are used as category labels for each group of samples and each photo, and each group of samples and each photo are classified and stored according to the category labels; The customer views the sample photos of the exhibition promotion, and obtains the number of times and time the customer views each set of samples and each photo; A number threshold and a time threshold are preset. When the number of views and the viewing time of a customer reach one of the number threshold and the time threshold, other samples and photos in the same or similar categories are pushed.

8. A customer tracking device according to claim 7, characterized in that: The category label includes multiple classification levels. Samples and photos have category labels of multiple different classification levels at the same time. The higher the level of the category label, the smaller the range of features of the category label. Similar categories refer to other category labels under the second highest category label to which the target sample or photo belongs.

9. A customer tracking device according to claim 8, characterized in that: The steps for setting up a logical tracking tree and regularly pushing messages to customers are as follows: Obtain all business content that can be filmed within the company and generate business nodes based on the business content; Generate a logical chain between each business node based on the logical relationship between each business node, and generate a logical tracking tree based on the logical chain between each business node; Obtain the corresponding target business node according to the customer's shooting content, and obtain the subsequent business node with a logical chain according to the target business node; Get the category label corresponding to the subsequent business node, and push the samples and photos under the category label to the user.

10. A customer tracking device according to claim 9, characterized in that: Each of the business nodes corresponds to only one business content, each of the business content corresponds to only one category label, and the category label corresponding to the business content is the lowest classification level among the category labels.

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