A contact point quantitative evaluation method and device, electronic equipment and storage medium

Abstract

The application provides a contact point quantitative evaluation method and device, electronic equipment and storage medium. The method comprises the following steps: selecting sample users whose target information meets preset conditions from all users and adding the sample users to a sample user group; for each sample user currently existing in the sample user group, a first target question is displayed to the sample user to obtain a first target answer selected by the sample user from a plurality of first preset answers of the first target question; a second target question corresponding to the first target answer under each preset evaluation factor of each preset evaluation dimension is displayed to the sample user to obtain a second target answer selected by the sample user from a plurality of second preset answers of each second target question; and a contact point comprehensive influence score of a target contact point on the sample user is calculated according to a preset score corresponding to each second target answer. The application can quantitatively evaluate the comprehensive influence of different contact points according to a unified standard.

Description

Technical Field

[0001] This application relates to the broader field of advertising, and more specifically, to a method, apparatus, electronic device, and storage medium for quantitative evaluation of touchpoints. Background Technology

[0002] With the development of information technology, touchpoints have become an indispensable part of people's daily lives, subtly influencing their daily consumption habits.

[0003] Among numerous touchpoints, selecting those that users like or trust and that have a positive influence on them is crucial, whether from the perspective of user experience or product marketing. However, current methods can only judge the quality of touchpoints based on people's experience, and there is no standardized quantitative evaluation method for the comprehensive influence of touchpoints. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a method, device, electronic device and storage medium for quantitative evaluation of contact points, which can perform a unified standard quantitative evaluation of the comprehensive influence of different contact points, so as to intuitively reflect the advantages and disadvantages of different contact points to users.

[0005] In a first aspect, embodiments of this application provide a method for quantitative evaluation of contact points, the method comprising:

[0006] Select sample users whose target information meets preset conditions from all users, and add each sample user to the sample user group. The target information includes: user personal information registered by the user and / or user device information.

[0007] For each sample user currently existing in the sample user group, a first target question is presented to the sample user to obtain a first target answer selected by the sample user from multiple first preset answers to the first target question. The first target question is a question used to obtain the target touchpoint that the sample user is interested in, and the first target answer represents the target touchpoint.

[0008] The sample user is shown a second target question corresponding to the first target answer under each preset evaluation factor under each preset evaluation dimension, so as to obtain the second target answer selected by the sample user from multiple second preset answers for each second target question. The second target question is used to obtain the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions. The second target answer reflects the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions.

[0009] Based on the preset score corresponding to each second target answer, calculate the comprehensive influence score of the target touchpoint on the sample user's touchpoints;

[0010] Display the overall influence score of the touchpoint to the target user.

[0011] In one possible implementation, after presenting a first target question to each currently existing sample user in the sample user group to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, the method further includes:

[0012] The sample user is shown a third target question to obtain the third target answer selected by the sample user from multiple third preset answers to the third target question. The third target question is used to obtain the sample user's purchase intention for the target product advertised by the target touchpoint. The third target answer reflects the sample user's purchase intention for the target product advertised by the target touchpoint. The purchase intention includes at least one of the following: satisfaction, purchase intention, and recommendation intention.

[0013] Based on the preset score corresponding to each of the second target answers, calculate the overall influence score of the target touchpoint on the sample user's touchpoints, including:

[0014] The comprehensive influence score of the contact point is calculated based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers.

[0015] In one possible implementation, the comprehensive influence score of the contact point is calculated based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers, including:

[0016] Based on the preset score corresponding to each second target answer, principal component analysis is performed on each preset evaluation dimension to obtain the principal component score of each preset evaluation dimension.

[0017] The arithmetic average of the preset scores corresponding to each of the third target answers is used to obtain the purchase intention score of the sample user for the target product.

[0018] For each of the preset evaluation dimensions, based on the preset score corresponding to the target second answer and the purchase intention score, a partial correlation analysis is performed on the preset evaluation dimension and the purchase intention score to obtain the dimension influence score of the preset evaluation dimension on the target product. The target second answer is the second target answer selected by the sample user from multiple second preset answers for each second target question corresponding to the first target answer under each preset evaluation factor under the preset evaluation dimension.

[0019] For each preset evaluation dimension, based on the dimension influence score of each preset evaluation dimension on the target product, the dimension influence score of the preset evaluation dimension on the target product is normalized to obtain the influence weight coefficient of the preset evaluation dimension on the target product.

[0020] For each preset evaluation dimension, the principal component score of the preset evaluation dimension and the influence weight coefficient of the preset evaluation dimension on the target product are multiplied to obtain the independent dimension influence score corresponding to the preset evaluation dimension.

[0021] The influence scores of each independent dimension are summed to obtain the overall influence score of the contact point.

[0022] In one possible implementation, after selecting sample users whose target information meets preset conditions from all users and adding each of the sample users to a sample user group, the method further includes:

[0023] For each existing sample user in the sample user group, a personal information verification question is presented to the sample user to obtain the fourth target answer selected by the sample user from multiple fourth preset answers to the personal information verification question. The personal information verification question is a question used to verify the reliability of reference target information, which includes: the user's registered personal information.

[0024] If the fourth target answer is inconsistent with the reference target information, then the sample user is removed from the sample user group.

[0025] In one possible implementation, after showing the sample user the second target question corresponding to the first target answer under each preset evaluation factor in each preset evaluation dimension, and obtaining the second target answer selected by the sample user from multiple second preset answers for each second target question, the method further includes:

[0026] The system displays, in the form of visual charts, the first answer information of all sample users currently existing in the sample user group regarding the first target question, the second answer information regarding the second target question, and the answer information regarding the third target question.

[0027] Secondly, embodiments of this application also provide a contact point quantification evaluation device, the device comprising:

[0028] The selection module is used to select sample users whose target information meets preset conditions from all users, and add each sample user to the sample user group, wherein the target information includes: user personal information registered by the user and / or user device information;

[0029] The first display module is used to display a first target question to each sample user currently existing in the sample user group, so as to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, wherein the first target question is a question used to obtain the target touchpoint that the sample user is interested in, and the first target answer represents the target touchpoint;

[0030] The second display module is used to display to the sample user the second target question corresponding to the first target answer under each preset evaluation factor under each preset evaluation dimension, so as to obtain the second target answer selected by the sample user from multiple second preset answers for each second target question. The second target question is a question used to obtain the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions. The second target answer reflects the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions.

[0031] The scoring module is used to calculate the overall influence score of the target touchpoint on the sample user based on the preset score corresponding to each second target answer;

[0032] The score display module is used to display the overall influence score of the touchpoint to the target user.

[0033] In one possible implementation, the device further includes:

[0034] The third display module is used to, after the first display module displays a first target question to each sample user currently existing in the sample user group to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, display a third target question to obtain a third target answer selected by the sample user from a plurality of third preset answers to the third target question. The third target question is used to obtain the sample user's purchase intention for the target product advertised by the target touchpoint. The third target answer reflects the sample user's purchase intention for the target product advertised by the target touchpoint. The purchase intention includes at least one of the following: satisfaction, purchase intention, and recommendation intention.

[0035] The score calculation module is specifically used for:

[0036] The comprehensive influence score of the contact point is calculated based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers.

[0037] In one possible implementation, when the scoring calculation module calculates the comprehensive influence score of the contact point based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers, it is specifically used for:

[0038] Based on the preset score corresponding to each second target answer, principal component analysis is performed on each preset evaluation dimension to obtain the principal component score of each preset evaluation dimension.

[0039] The arithmetic average of the preset scores corresponding to each of the third target answers is used to obtain the purchase intention score of the sample user for the target product.

[0040] For each of the preset evaluation dimensions, based on the preset score corresponding to the target second answer and the purchase intention score, a partial correlation analysis is performed on the preset evaluation dimension and the purchase intention score to obtain the dimension influence score of the preset evaluation dimension on the target product. The target second answer is the second target answer selected by the sample user from multiple second preset answers for each second target question corresponding to the first target answer under each preset evaluation factor under the preset evaluation dimension.

[0041] For each preset evaluation dimension, based on the dimension influence score of each preset evaluation dimension on the target product, the dimension influence score of the preset evaluation dimension on the target product is normalized to obtain the influence weight coefficient of the preset evaluation dimension on the target product.

[0042] For each preset evaluation dimension, the principal component score of the preset evaluation dimension and the influence weight coefficient of the preset evaluation dimension on the target product are multiplied to obtain the independent dimension influence score corresponding to the preset evaluation dimension.

[0043] The influence scores of each independent dimension are summed to obtain the overall influence score of the contact point.

[0044] In one possible implementation, the device further includes:

[0045] The fourth display module is used to, after the selection module selects sample users whose target information meets preset conditions from all users and adds each sample user to the sample user group, display personal information verification questions to each sample user currently existing in the sample user group, so as to obtain the fourth target answer selected by the sample user from multiple fourth preset answers of the personal information verification questions. The personal information verification questions are questions used to verify the reliability of reference target information, and the reference target information includes: the user personal information registered by the sample user.

[0046] The elimination module is used to remove the sample user from the sample user group if the fourth target answer is inconsistent with the reference target information.

[0047] In one possible implementation, the device further includes:

[0048] The answer display module is used to display the second target question corresponding to the first target answer under each preset evaluation factor under each preset evaluation dimension to the sample user in the second display module. After obtaining the second target answer selected by the sample user from multiple second preset answers for each second target question, the module displays the first answer information of all sample users currently existing in the sample user group regarding the first target question, the second answer information regarding the second target question, and the answer information regarding the third target question to the target user in the form of a visual chart.

[0049] Thirdly, embodiments of this application also provide an electronic device, including: a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the contact point quantification evaluation method described in any of the first aspects.

[0050] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the contact point quantification evaluation method as described in any of the first aspects.

[0051] The embodiments of this application provide a contact point quantitative evaluation method, device, electronic device and storage medium, which can perform a unified standard quantitative evaluation of the comprehensive influence of different contact points, so as to intuitively reflect the advantages and disadvantages of different contact points to users. Attached Figure Description

[0052] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 A flowchart of a contact point quantification evaluation method provided in an embodiment of this application is shown;

[0054] Figure 2 A flowchart of another contact point quantification evaluation method provided in an embodiment of this application is shown;

[0055] Figure 3 A flowchart of another contact point quantification evaluation method provided in an embodiment of this application is shown;

[0056] Figure 4 This illustration shows a schematic diagram of a contact point quantification evaluation device provided in an embodiment of this application;

[0057] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0059] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0060] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0061] To facilitate understanding of this embodiment, a detailed description will be provided of a contact point quantification evaluation method, apparatus, electronic device, and storage medium provided in this application embodiment.

[0062] Reference Figure 1 The diagram shown is a flowchart of a contact point quantification evaluation method provided in an embodiment of this application. The method includes:

[0063] S101. Select sample users whose target information meets the preset conditions from all users, and add each sample user to the sample user group, wherein the target information includes: user personal information registered by the user and / or user device information.

[0064] The sample user group was initially empty.

[0065] For example, user personal information may include: user's age, user's gender, user's education level, user's industry, user's occupation, user's marital status, whether user has children, user's car, etc.

[0066] User device information may include: the user device's IP address, the user device's latitude and longitude information, the user device's brand, the user device's version, and the user device's serial number.

[0067] For example, the preset conditions could be: the user's age is between 18 and 55 years old, the user's gender is female, and the user's device is located between 20 degrees north latitude and 40 degrees north latitude.

[0068] If the number of sample users is large, step S101 can also select a preset number of sample users whose target information meets the preset conditions from all users.

[0069] S102. For each sample user currently existing in the sample user group, a first target question is displayed to the sample user to obtain a first target answer selected by the sample user from multiple first preset answers of the first target question, wherein the first target question is a question used to obtain the target contact point of interest to the sample user, and the first target answer represents the target contact point.

[0070] Definition and Explanation of Touchpoints: Touchpoints are all possible channels through which users interact with a brand. Touchpoints include at least one of the following: product touchpoints, organizational touchpoints, brand activity touchpoints, advertising touchpoints, media content touchpoints, third-party touchpoints, transaction touchpoints, and live-streaming e-commerce touchpoints. Users can interact with brands through touchpoints, and brands can reach users through touchpoints. Touchpoints are the collection of communication channels and content between brands and users. Brands can manage touchpoints through both online and offline methods.

[0071] S103. Show the sample user the second target question corresponding to the first target answer under each preset evaluation factor in each preset evaluation dimension, so as to obtain the second target answer selected by the sample user from multiple second preset answers for each second target question. The second target question is a question used to obtain the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions. The second target answer reflects the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions.

[0072] For example, preset evaluation dimensions may include: motivation dimension, ability dimension, experience dimension, and emotional dimension.

[0073] For example, the preset evaluation factors may include: relevant factors, value factors, incentive factors, supply factors, tool factors, pre-action factors, participation factors, other factors, public factors, resonance factors, impulse factors, etc. There is at least one preset evaluation factor under each preset evaluation dimension. The preset evaluation factors are different under different preset evaluation dimensions. There are corresponding second target questions under each preset evaluation factor.

[0074] For example, the target touchpoint is Zhang San Media. The second target question under a certain preset evaluation factor in a certain preset evaluation dimension can be "Your evaluation of Zhang San Media's added value to the brand is: A. Very high B. Relatively high C. Average D. Not very high E. Low". Here, the preset score for A can be 5 points, the preset score for B can be 4 points, the preset score for C can be 3 points, the preset score for D can be 2 points, and the preset score for E can be 1 point.

[0075] S104. Calculate the comprehensive influence score of the target touchpoint on the sample user based on the preset score corresponding to each of the second target answers.

[0076] S105. Display the overall influence score of the touchpoint to the target user.

[0077] Target users include: system administrators, maintainers, and operators.

[0078] Additionally, the overall impact score of the touchpoint can be sent to relevant personnel at the target touchpoint.

[0079] In one possible implementation, after presenting a first target question to each currently existing sample user in the sample user group to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, the method further includes:

[0080] The sample user is shown a third target question to obtain the third target answer selected by the sample user from multiple third preset answers to the third target question. The third target question is used to obtain the sample user's purchase intention for the target product advertised by the target touchpoint. The third target answer reflects the sample user's purchase intention for the target product advertised by the target touchpoint. The purchase intention includes at least one of the following: satisfaction, purchase intention, and recommendation intention.

[0081] For example, the target touchpoint is Zhang San Media, and a third target question could be "How satisfied are you with the cosmetic M advertised by the target media? A. Very satisfied B. Somewhat satisfied C. Neutral D. Not very satisfied E. Very dissatisfied", where the preset score for A can be 5 points, the preset score for B can be 4 points, the preset score for C can be 3 points, the preset score for D can be 2 points, and the preset score for E can be 1 point.

[0082] Based on the preset score corresponding to each of the second target answers, calculate the overall influence score of the target touchpoint on the sample user's touchpoints, including:

[0083] The comprehensive influence score of the contact point is calculated based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers.

[0084] Reference Figure 2 The diagram shows a flowchart of another contact point quantification assessment method provided in this application. In one possible implementation, the comprehensive influence score of the contact point is calculated based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers, including:

[0085] S201. Based on the preset score corresponding to each of the second target answers, perform principal component analysis on each of the preset evaluation dimensions to obtain the principal component score of each of the preset evaluation dimensions.

[0086] S202. Calculate the arithmetic average of the preset scores corresponding to each of the third target answers to obtain the purchase intention score of the sample user for the target product.

[0087] For example, there are three third-objective questions. The first objective question is used to obtain the sample users' satisfaction with the target product, the second objective question is used to obtain the sample users' purchase rate of the target product, and the third objective question is used to obtain the sample users' recommendation rate of the target product.

[0088] Suppose that the sample user selects a third target answer from multiple third target answers for the first third target question with a preset score of 5, selects a third target answer from multiple third target answers for the second third target question with a preset score of 4, and selects a third target answer from multiple third target answers for the third third target question with a preset score of 3, then the purchase behavior intention score is 4.

[0089] S203. For each of the preset evaluation dimensions, based on the preset score corresponding to the target second answer and the purchase intention score, a partial correlation analysis is performed on the preset evaluation dimension and the purchase intention score to obtain the dimension influence score of the preset evaluation dimension on the target product. The target second answer is the second target answer selected by the sample user from multiple second preset answers for each second target question corresponding to the first target answer under each preset evaluation factor under the preset evaluation dimension.

[0090] S204. For each of the preset evaluation dimensions, based on the dimension influence score of each preset evaluation dimension on the target product, the dimension influence score of the preset evaluation dimension on the target product is normalized to obtain the influence weight coefficient of the preset evaluation dimension on the target product.

[0091] S205. For each preset evaluation dimension, the principal component score of the preset evaluation dimension and the influence weight coefficient of the preset evaluation dimension on the target product are multiplied to obtain the independent dimension influence score corresponding to the preset evaluation dimension.

[0092] S206. Add up the influence scores of each independent dimension to obtain the comprehensive influence score of the contact point.

[0093] Combining steps S204 to S206, for example, the principal component score of the first preset evaluation dimension is 3, and the influence weight coefficient of the first preset evaluation dimension on the target product is 0.1; the principal component score of the second preset evaluation dimension is 2, and the influence weight coefficient of the second preset evaluation dimension on the target product is 0.2; the principal component score of the third preset evaluation dimension is 1, and the influence weight coefficient of the third preset evaluation dimension on the target product is 0.3; the principal component score of the fourth preset evaluation dimension is 1, and the influence weight coefficient of the fourth preset evaluation dimension on the target product is 0.4.

[0094] Therefore, the independent dimension influence score corresponding to the first preset evaluation dimension is 3×0.1=0.3; the independent dimension influence score corresponding to the second preset evaluation dimension is 2×0.2=0.4; the independent dimension influence score corresponding to the third preset evaluation dimension is 1×0.3=0.3; and the independent dimension influence score corresponding to the fourth preset evaluation dimension is 1×0.4=0.4.

[0095] Therefore, the overall impact score of the contact point is 0.3 + 0.4 + 0.3 + 0.4 = 1.4.

[0096] Reference Figure 3The flowchart shown is another contact point quantification evaluation method provided in an embodiment of this application. In one possible implementation, after selecting sample users whose target information meets preset conditions from all users and adding each sample user to a sample user group, the method further includes:

[0097] S301. For each sample user currently existing in the sample user group, present the sample user with a personal information verification question to obtain the fourth target answer selected by the sample user from multiple fourth preset answers to the personal information verification question. The personal information verification question is a question used to verify the reliability of reference target information, and the reference target information includes: the user's registered personal information.

[0098] S302. If the fourth target answer is inconsistent with the reference target information, then the sample user is removed from the sample user group.

[0099] In conjunction with steps S301 to S302, in reality, some users fill in their personal information arbitrarily when registering. Therefore, personal information verification questions are set up to filter out such users as much as possible.

[0100] For example, all the questions in this test are for female users (i.e., the user's gender in their personal information must be female). However, some male users filled in female instead of male in their personal information when registering. In this case, the personal information verification question could be something like "What is your gender: A. Male B. Female?" If any sample user selects A. Male, then that sample user will be removed from the sample user group and will not be shown the subsequent second target questions, etc.

[0101] In addition, sample users can be excluded based on their answering time to further improve the reliability of the answers.

[0102] In one possible implementation, after showing the sample user the second target question corresponding to the first target answer under each preset evaluation factor in each preset evaluation dimension, and obtaining the second target answer selected by the sample user from multiple second preset answers for each second target question, the method further includes:

[0103] The system displays, in the form of visual charts, the first answer information of all sample users currently existing in the sample user group regarding the first target question, the second answer information regarding the second target question, and the answer information regarding the third target question.

[0104] For example, the first answer information may include: the answering time of all sample users for the first target question and the proportion of different first target answers selected by all sample users;

[0105] The second set of answer information may include: the answering time of all sample users for the second target question and the proportion of different second target answers selected by all sample users;

[0106] The third set of information may include: the time all sample users spent answering the second objective question, and the proportion of different third objective answers selected by all sample users.

[0107] Furthermore, the gender ratio and age structure of all sample users can be displayed to the target users in the form of visual charts.

[0108] In addition, the selection ratios of different first-target answers, different second-target answers, and different third-target answers can be adjusted based on user personal information such as age structure or gender ratio before being displayed to target users.

[0109] The present application provides a contact point quantitative evaluation method that can perform a unified standard quantitative evaluation of the comprehensive influence of different contact points, so as to intuitively reflect the advantages and disadvantages of different contact points to users.

[0110] Reference Figure 4 The diagram shown is a structural schematic of a contact point quantification evaluation device provided in an embodiment of this application. The device includes:

[0111] The selection module 401 is used to select sample users whose target information meets preset conditions from all users, and add each sample user to the sample user group, wherein the target information includes: user personal information registered by the user and / or user device information;

[0112] The first display module 402 is used to display a first target question to each sample user currently existing in the sample user group, so as to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, wherein the first target question is a question used to obtain the target touchpoint that the sample user is interested in, and the first target answer represents the target touchpoint;

[0113] The second display module 403 is used to display to the sample user the second target question corresponding to the first target answer under each preset evaluation factor under each preset evaluation dimension, so as to obtain the second target answer selected by the sample user from multiple second preset answers for each second target question. The second target question is a question used to obtain the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions. The second target answer reflects the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions.

[0114] The scoring calculation module 404 is used to calculate the comprehensive influence score of the target touchpoint on the sample user based on the preset score corresponding to each second target answer;

[0115] The score display module 405 is used to display the overall influence score of the touchpoint to the target user.

[0116] In one possible implementation, the device further includes:

[0117] The third display module is used to, after the first display module 402 displays a first target question to each sample user currently existing in the sample user group to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, display a third target question to obtain a third target answer selected by the sample user from a plurality of third preset answers to the third target question. The third target question is used to obtain the sample user's purchase intention for the target product advertised by the target touchpoint. The third target answer reflects the sample user's purchase intention for the target product advertised by the target touchpoint. The purchase intention includes at least one of the following: satisfaction, purchase intention, and recommendation intention.

[0118] The score calculation module 404 is specifically used for:

[0119] The comprehensive influence score of the contact point is calculated based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers.

[0120] In one possible implementation, when the scoring calculation module 404 calculates the comprehensive influence score of the contact point based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers, it is specifically used for:

[0121] Based on the preset score corresponding to each second target answer, principal component analysis is performed on each preset evaluation dimension to obtain the principal component score of each preset evaluation dimension.

[0122] The arithmetic average of the preset scores corresponding to each of the third target answers is used to obtain the purchase intention score of the sample user for the target product.

[0123] For each of the preset evaluation dimensions, based on the preset score corresponding to the target second answer and the purchase intention score, a partial correlation analysis is performed on the preset evaluation dimension and the purchase intention score to obtain the dimension influence score of the preset evaluation dimension on the target product. The target second answer is the second target answer selected by the sample user from multiple second preset answers for each second target question corresponding to the first target answer under each preset evaluation factor under the preset evaluation dimension.

[0124] For each preset evaluation dimension, based on the dimension influence score of each preset evaluation dimension on the target product, the dimension influence score of the preset evaluation dimension on the target product is normalized to obtain the influence weight coefficient of the preset evaluation dimension on the target product.

[0125] For each preset evaluation dimension, the principal component score of the preset evaluation dimension and the influence weight coefficient of the preset evaluation dimension on the target product are multiplied to obtain the independent dimension influence score corresponding to the preset evaluation dimension.

[0126] The influence scores of each independent dimension are summed to obtain the overall influence score of the contact point.

[0127] In one possible implementation, the device further includes:

[0128] The fourth display module is used to display personal information verification questions to each sample user currently existing in the sample user group after the selection module 401 selects sample users whose target information meets preset conditions from all users and adds each sample user to the sample user group. This allows the sample user to obtain the fourth target answer selected by the sample user from multiple fourth preset answers to the personal information verification questions. The personal information verification questions are questions used to verify the reliability of reference target information, which includes: the user's registered personal information.

[0129] The elimination module is used to remove the sample user from the sample user group if the fourth target answer is inconsistent with the reference target information.

[0130] In one possible implementation, the device further includes:

[0131] The answer display module is used to display the second target question corresponding to the first target answer under each preset evaluation factor under each preset evaluation dimension to the sample user in the second display module 403. After obtaining the second target answer selected by the sample user from multiple second preset answers for each second target question, the module displays the first answer information of all sample users currently existing in the sample user group regarding the first target question, the second answer information regarding the second target question, and the answer information regarding the third target question to the target user in the form of a visual chart.

[0132] This application provides a contact point quantitative evaluation device that can perform a unified standard quantitative evaluation of the comprehensive influence of different contact points, so as to intuitively reflect the advantages and disadvantages of different contact points to users.

[0133] Reference Figure 5 As shown in the embodiment of this application, an electronic device 500 includes a processor 501, a memory 502, and a bus. The memory 502 stores machine-readable instructions executable by the processor 501. When the electronic device is running, the processor 501 communicates with the memory 502 via the bus, and the processor 501 executes the machine-readable instructions to perform the steps of the contact point quantification evaluation method described above.

[0134] Specifically, the memory 502 and processor 501 mentioned above can be general-purpose memory and processor, without any specific limitations. When the processor 501 runs the computer program stored in the memory 502, it can perform the above-mentioned contact point quantification evaluation method.

[0135] Corresponding to the above-described method for quantifying contact points, this application also provides a computer-readable storage medium storing a computer program, which, when run by a processor, executes the steps of the above-described method for quantifying contact points.

[0136] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, methods, and procedures can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces; the indirect coupling or communication connection of devices or modules may be electrical, mechanical, or other forms.

[0137] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0138] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0139] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0140] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for quantitatively evaluating contact points, characterized in that, The method includes: Select sample users whose target information meets preset conditions from all users, and add each sample user to the sample user group. The target information includes: user personal information registered by the user and / or user device information. For each sample user currently existing in the sample user group, a first target question is presented to the sample user to obtain a first target answer selected by the sample user from multiple first preset answers to the first target question. The first target question is a question used to obtain the target touchpoint that the sample user is interested in, and the first target answer represents the target touchpoint. The sample user is shown a second target question corresponding to the first target answer under each preset evaluation factor under each preset evaluation dimension, so as to obtain the second target answer selected by the sample user from multiple second preset answers for each second target question. The second target question is used to obtain the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions. The second target answer reflects the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions. Based on the preset score corresponding to each second target answer, calculate the comprehensive influence score of the target touchpoint on the sample user's touchpoints; Display the overall influence score of the touchpoint to the target user; After presenting a first target question to each existing sample user in the sample user group to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, the method further includes: presenting a third target question to the sample user to obtain a third target answer selected by the sample user from a plurality of third preset answers to the third target question, wherein the third target question is a question used to obtain the sample user's purchase intention for the target product advertised by the target touchpoint, and the third target answer reflects the sample user's purchase intention for the target product advertised by the target touchpoint, the purchase intention including at least one of the following: satisfaction, purchase intention, recommendation intention; calculating the comprehensive influence score of the target touchpoint for the sample user based on a preset score corresponding to each second target answer, including: calculating the comprehensive influence score of the touchpoint based on the preset score corresponding to each second target answer and the preset score corresponding to each third target answer. The step of calculating the comprehensive influence score of the touchpoint based on the preset scores corresponding to each second target answer and each third target answer includes: performing principal component analysis on each preset evaluation dimension based on the preset scores corresponding to each second target answer to obtain the principal component score of each preset evaluation dimension; performing an arithmetic mean on the preset scores corresponding to each third target answer to obtain the purchase intention score of the sample user for the target product; and performing partial correlation analysis on the preset evaluation dimension and the purchase intention score based on the preset scores corresponding to the target second answer and the purchase intention score for each preset evaluation dimension to obtain the dimension influence score of the preset evaluation dimension for the target product, wherein the target second answer is the... The sample users select a second target answer from multiple second preset answers for each second target question corresponding to the first target answer under each preset evaluation factor of the preset evaluation dimension; for each preset evaluation dimension, based on the dimension influence score of each preset evaluation dimension on the target product, the dimension influence score of the preset evaluation dimension on the target product is normalized to obtain the influence weight coefficient of the preset evaluation dimension on the target product; for each preset evaluation dimension, the principal component score of the preset evaluation dimension and the influence weight coefficient of the preset evaluation dimension on the target product are multiplied to obtain the independent dimension influence score corresponding to the preset evaluation dimension; the influence scores of each independent dimension are added together to obtain the comprehensive influence score of the touchpoint.

2. The contact point quantification evaluation method according to claim 1, characterized in that, After selecting sample users whose target information meets preset conditions from all users and adding each sample user to a sample user group, the method further includes: For each existing sample user in the sample user group, a personal information verification question is presented to the sample user to obtain the fourth target answer selected by the sample user from multiple fourth preset answers to the personal information verification question. The personal information verification question is a question used to verify the reliability of reference target information, which includes: the user's registered personal information. If the fourth target answer is inconsistent with the reference target information, then the sample user is removed from the sample user group.

3. The contact point quantification evaluation method according to claim 1, characterized in that, After showing the sample user the second target question corresponding to the first target answer under each preset evaluation factor for each preset evaluation dimension, and obtaining the second target answer selected by the sample user from multiple second preset answers for each second target question, the method further includes: The system displays, in the form of visual charts, the first answer information of all sample users currently existing in the sample user group regarding the first target question, the second answer information regarding the second target question, and the answer information regarding the third target question.

4. A contact point quantification and evaluation device, characterized in that, The device includes: The selection module is used to select sample users whose target information meets preset conditions from all users, and add each sample user to the sample user group, wherein the target information includes: user personal information registered by the user and / or user device information; The first display module is used to display a first target question to each sample user currently existing in the sample user group, so as to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, wherein the first target question is a question used to obtain the target touchpoint that the sample user is interested in, and the first target answer represents the target touchpoint; The second display module is used to display to the sample user the second target question corresponding to the first target answer under each preset evaluation factor under each preset evaluation dimension, so as to obtain the second target answer selected by the sample user from multiple second preset answers for each second target question. The second target question is a question used to obtain the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions. The second target answer reflects the sample user's degree of recognition of the target touchpoint under different preset evaluation dimensions. The scoring module is used to calculate the overall influence score of the target touchpoint on the sample user based on the preset score corresponding to each second target answer; The score display module is used to display the overall influence score of the touchpoint to the target user; The device further includes: The third display module is used to, after the first display module displays a first target question to each sample user currently existing in the sample user group to obtain a first target answer selected by the sample user from a plurality of first preset answers to the first target question, display a third target question to obtain a third target answer selected by the sample user from a plurality of third preset answers to the third target question. The third target question is used to obtain the sample user's purchase intention for the target product advertised by the target touchpoint. The third target answer reflects the sample user's purchase intention for the target product advertised by the target touchpoint. The purchase intention includes at least one of the following: satisfaction, purchase intention, and recommendation intention. The score calculation module is specifically used for: Calculate the comprehensive influence score of the contact point based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers; When the scoring calculation module calculates the comprehensive influence score of the contact point based on the preset score corresponding to each of the second target answers and the preset score corresponding to each of the third target answers, it is specifically used for: Based on the preset score corresponding to each second target answer, principal component analysis is performed on each preset evaluation dimension to obtain the principal component score of each preset evaluation dimension. The arithmetic average of the preset scores corresponding to each of the third target answers is used to obtain the purchase intention score of the sample user for the target product. For each of the preset evaluation dimensions, based on the preset score corresponding to the target second answer and the purchase intention score, a partial correlation analysis is performed on the preset evaluation dimension and the purchase intention score to obtain the dimension influence score of the preset evaluation dimension on the target product. The target second answer is the second target answer selected by the sample user from multiple second preset answers for each second target question corresponding to the first target answer under each preset evaluation factor under the preset evaluation dimension. For each preset evaluation dimension, based on the dimension influence score of each preset evaluation dimension on the target product, the dimension influence score of the preset evaluation dimension on the target product is normalized to obtain the influence weight coefficient of the preset evaluation dimension on the target product. For each preset evaluation dimension, the principal component score of the preset evaluation dimension and the influence weight coefficient of the preset evaluation dimension on the target product are multiplied to obtain the independent dimension influence score corresponding to the preset evaluation dimension. The influence scores of each independent dimension are summed to obtain the overall influence score of the contact point.

5. An electronic device, characterized in that, include: The device includes a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is in operation, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the contact point quantification evaluation method as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the contact point quantification evaluation method as described in any one of claims 1 to 3.

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