Live marketing data management and control method

Abstract

The invention discloses a live marketing data management and control method, belongs to the technical field of data management, and solves the problems that the time cost is increased, and the consumption of energy and human resources is increased due to the repeated work of carrying out additional verification work on a live marketing data annual report. Comprising the following steps: establishing a main project by live broadcast types according to an annual report table; establishing a plurality of paths along the large class of the main project; each path comprises a main path and a plurality of branch paths, leaf nodes of the main path and the branch paths correspond to specific assessment items of the annual report table, and child nodes of the main path and the branch paths correspond to middle assessment items of the annual report table. According to the method, the live marketing data auditing of the annual report is converted from digital comparison to image comparison, so that non-professionals can quickly and conveniently compare actual and standard data, the energy consumption is reduced, and the evaluation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and particularly to a method for controlling live marketing data. Background Art

[0002] Live marketing is a new online marketing method that utilizes the interactivity and real-time features of video live streaming platforms to establish a more direct communication bridge between brands and consumers. Through live streaming, enterprises can showcase product features, conduct interactive Q&A sessions, obtain real-time feedback from users, and even sell products online. This model not only increases users' sense of participation and purchasing desire but also enhances the brand image and trust through the personal charm and professional knowledge of the live streamer. With the popularization of 5G technology and the upgrade of mobile devices, live marketing is gradually becoming an important channel for brand promotion and sales due to its convenience and interactivity.

[0003] Among them, the live marketing data report is a tool that helps merchants or brands evaluate the live streaming effect and optimize marketing strategies by summarizing and analyzing various types of data during the live marketing process. Generally, the live marketing data report includes multiple dimensions such as audience engagement, sales conversion rate, and interaction data. Audience engagement includes the number of live viewers, online duration, interaction times, etc., which can reflect the attractiveness of the live content and the activity level of the audience. The sales conversion rate shows the actual sales effect brought by the live stream, helping merchants determine whether the live stream has successfully promoted product sales. Interaction data such as bullet comments, likes, shares, and the number of comments can reveal the emotional tendencies of the audience and their degree of recognition of the brand. In addition, the report also involves information such as the live streaming time period, the performance of the live streamer, and the popularity of the product, assisting merchants in adjusting the live content and rhythm in a timely manner to improve the overall marketing effect. Through in-depth analysis of these data, brands can continuously optimize their live streaming strategies, increase sales and customer stickiness, and thus promote long-term brand development.

[0004] However, these live marketing data are not sorted, controlled, and verified in a short period of time. Usually, they are provided to people for control and verification in the form of annual reports. However, in the face of the huge amount of information in the current annual reports and hundreds of assessment items, relying solely on manual review of data item by item will undoubtedly consume a large amount of precious time and significantly occupy personal time. During this long process, due to limited human energy, omissions are inevitable in continuous data comparison and evaluation, which may lead to inaccurate final results, and thus additional verification work on the live marketing data annual report is required. Such repetitive labor not only increases the time cost but also increases the consumption of energy and human resources.

[0005] Therefore, a method for controlling live marketing data is proposed to solve or alleviate the above problems. Summary of the Invention

[0006] The object of the present invention is to solve the deficiencies existing in the prior art, and a live marketing data control method is proposed.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] A live marketing data control method includes the following steps:

[0009] Establish a main project according to the live broadcast types in the annual report form;

[0010] Establish several paths along the major categories of the main project;

[0011] Each path includes a main path and several branch paths, and the leaf nodes of the main path and the branch paths correspond to the specific assessment items in the annual report form, and the sub-nodes of the main path and the branch paths correspond to the middle-category assessment items in the annual report form;

[0012] Convert the values of the leaf nodes and the specific assessment items and middle-category assessment items in the corresponding annual report form of the sub-nodes into binary, and combine them to form an actual matrix value;

[0013] Convert the binary actual matrix value into a black-and-white image, and form an actual image contour with black dots;

[0014] Convert the data in the annual report form standard into binary, and combine them to form a comparison matrix value, convert the binary comparison matrix value into a black-and-white image, and form a comparison image contour with black dots;

[0015] Compare the actual image contour with the comparison image contour through manual or image recognition algorithms.

[0016] Preferably, in the actual matrix value and the comparison matrix value, 1 is defined as a black dot and 0 as a white dot.

[0017] Preferably, subtract the actual matrix value from the comparison matrix value, and display the absolute value. 0 is a white dot and 1 is a black dot. Display the difference after subtracting the actual matrix value from the comparison matrix value with black dots, and observe and compare the amount of black dots.

[0018] Preferably, the step of subtracting the actual matrix value from the comparison matrix value, displaying the absolute value, with 0 as a white dot and 1 as a black dot, displaying the difference after subtracting the actual matrix value from the comparison matrix value with black dots, and observing and comparing the amount of black dots includes the following steps:

[0019] Calculate the difference matrix between the actual matrix value and the comparison matrix, and display its absolute value. "1" in the difference matrix represents the difference between the actual and standard data Difference Matrix ( i,j )= |A i,j - B i,j |, where |·| is the absolute value operation;

[0020] Count the frequency of the occurrence of black dots in the difference matrix, and analyze the degree of difference between the actual data and the standard data. BlackPointCount = ∑ i,j DifferenceMatrix ( i,j ) , where the number of black dots represents the degree of deviation between the actual result and the standard.

[0021] Preferably, set the upper and lower limits of the values of the comparison matrix to form the upper limit matrix value and the lower limit matrix value of the comparison B upper (i,j) = B i,j + ∈, B lower (i,j) = B i,j - ∈, where ∈ is the tolerance error range, and form a circular pattern CircularPattern = {B upper , B lower}.

[0022] Preferably, compare the actual image contour with the circular pattern to judge whether it rises, falls, or remains unchanged.

[0023] Preferably, the comparison of the actual image contour with the circular pattern to judge whether it rises, falls, or remains unchanged includes the following steps:

[0024] If the actual image contour is below the circular pattern, the determination result is a fall;

[0025] If the actual image contour is above the circular pattern, the determination result is a rise;

[0026] If the actual image contour is within the circular pattern, the determination result is to remain unchanged;

[0027] If part of the actual image contour is within the circular pattern and the remaining part of the actual image contour is below the circular pattern, compare the lengths of the actual image contour below the circular pattern and the actual image contour within the circular pattern. If the length of the actual image contour below the circular pattern is greater than the length of the actual image contour within the circular pattern, the determination result is a fall; otherwise, the determination result is to remain unchanged;

[0028] If part of the actual image contour is within the circular pattern and the remaining part of the actual image contour is above the circular pattern, compare the lengths of the actual image contour above the circular pattern and the actual image contour within the circular pattern. If the length of the actual image contour above the circular pattern is greater than the length of the actual image contour within the circular pattern, the determination result is a rise; otherwise, the determination result is to remain unchanged.

[0029] The present invention has the following beneficial effects:

[0030] By adopting this method, the present invention can transform the audit work of live marketing data in the annual report from cumbersome digital comparison into intuitive image comparison, enabling non-professionals to quickly and conveniently compare the actual data and standard data of the annual report. Such a transformation significantly reduces the energy consumption, enabling people to directly, quickly, and accurately make specific evaluations based on the overall situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0032] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and illustrated in the drawings here can be arranged and designed in various different configurations.

[0034] Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents the selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0035] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0036] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the inventive product is customarily placed during use, or the orientation or positional relationship commonly understood by those skilled in the art. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation on the present invention.

[0037] In addition, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and should not be construed as indicating or implying relative importance.

[0038] In the description of the present invention, it should also be noted that unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "couple" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0039] A live marketing data control method includes the following steps.

[0040] Establish main items according to the live broadcast types based on the annual report form.

[0041] Establish several paths along the major categories of the main items.

[0042] Each path includes a main path and several branch paths, and the leaf nodes of the main path and the branch paths correspond to the specific assessment items of the annual report form, and the sub-nodes of the main path and the branch paths correspond to the middle-level assessment items of the annual report form.

[0043] Convert the values of the leaf nodes and the specific assessment items and middle-level assessment items in the corresponding annual report form of the sub-nodes into binary, and merge them to form the actual matrix value.

[0044] Convert the binary actual matrix value into a black-and-white image, and form the actual image contour with black dots.

[0045] Convert the data in the annual report form standard into binary, and merge them to form a comparison matrix value. Convert the binary comparison matrix value into a black-and-white image, and form a comparison image contour with black dots.

[0046] Compare the actual image contour and the comparison image contour manually or through an image recognition algorithm.

[0047] By establishing the main project and path, the complex annual report tabular data is transformed into a form of image comparison, thus simplifying the data review process. The main function of this method is to transform the traditional digital comparison into an image comparison, enabling non-professionals to quickly and conveniently compare the actual data with the standard data, reducing the professional threshold, and improving the popularity and efficiency of data review. In addition, through image processing, data differences can be more intuitively identified, human omissions can be reduced, and the accuracy of data review can be improved. The advantage of this method is that it can greatly reduce the energy consumption, enabling people to directly, quickly and accurately make specific evaluations based on the overall situation, thereby improving the evaluation efficiency and reducing the consumption of human resources.

[0048] Preferably, in the actual matrix values and the comparison matrix values, 1 is defined as a black dot and 0 is defined as a white dot.

[0049] The above method defines the representation methods of the actual matrix values and the comparison matrix values, that is, 1 represents a black dot and 0 represents a white dot. This binary representation method simplifies the data visualization process, making the image comparison more intuitive and easy to understand. Its function is to provide a simple and effective data representation means, making the comparison and analysis of data more intuitive, facilitating the quick identification of differences, enabling even non-professionals to easily understand and use this data control method, further reducing the usage threshold, and improving the efficiency and accuracy of data processing.

[0050] Preferably, subtract the actual matrix values from the comparison matrix values and display the absolute value. 0 is a white dot and 1 is a black dot. The difference after subtracting the actual matrix values from the comparison matrix values is displayed as black dots, and the quantity of black dots is observed and compared.

[0051] The function of the above method is to be able to intuitively display the differences between the actual data and the standard data, making the difference part prominently displayed in the form of black dots, facilitating quick identification and analysis. It provides an intuitive difference display method, enabling users to quickly locate the data deviation and accelerating the problem diagnosis process. In addition, by counting the number of black dots, the deviation degree between the actual result and the standard can be quantified, providing a basis for further data analysis and decision-making.

[0052] Preferably, subtract the actual matrix values from the comparison matrix values and display the absolute value. 0 is a white dot and 1 is a black dot. The difference after subtracting the actual matrix values from the comparison matrix values is displayed as black dots, and the quantity of black dots is observed and compared, including the following steps:

[0053] Calculate the difference matrix between the actual matrix values and the comparison matrix and display its absolute value. "1" in the difference matrix represents the difference between the actual and standard data. Difference Matrix(i,j) = ∣A i,j -Bi,j |, where |·| is the absolute value operation;

[0054] Statistical difference matrix black dots) the frequency of occurrence, analyze the degree of difference between the actual data and the standard data, BlackPointCount = ∑ i,j DifferenceMatrix(i,j), where the number of black dots represents the degree of deviation between the actual result and the standard.

[0055] The above method provides a more refined calculation and analysis process of the difference matrix, including calculating the absolute value of the difference matrix and counting the frequency of black dots to analyze the degree of difference between the actual data and the standard data. The above method provides a means of quantitative analysis of data differences, enabling data comparison not only to stay at the qualitative level, but also to measure the size of the difference through specific numerical values, enhancing the accuracy and scientific nature of the data control method, making the data analysis results more reliable, and providing more solid data support for decision-making

[0056] Preferably, set the upper and lower limits of the comparison matrix values to form the upper limit matrix value and the lower limit matrix value B upper ( i,j ) = B i,j + ∈, B lower ( i,j ) = B i,j - ∈, where ∈ is the tolerance error range, and form a circular pattern CircularPattern = {B upper , B lower}.

[0057] The function of the above method is to provide a tolerance error range for data control, making data comparison no longer absolute, but allowing a certain degree of error, which is more in line with the needs in actual applications, increasing the flexibility and practicality of the data control method, enabling the method to adapt to different data environments and requirements, and improving the adaptability and effectiveness of the method

[0058] Preferably, compare the actual image contour with the circular pattern to judge rising, falling, or maintaining.

[0059] Preferably, compare the actual image contour with the circular pattern to judge rising, falling, or maintaining, including the following steps,

[0060] If the actual image contour is below the circular pattern, the judgment result is falling;

[0061] If the actual image contour is above the circular pattern, the judgment result is rising;

[0062] If the actual image contour is located within the circular pattern, the determination result is to maintain;

[0063] If part of the actual image contour is located within the circular pattern and the remaining part of the actual image contour is located below the circular pattern, compare the lengths of the actual image contour located below the circular pattern and the actual image contour located within the circular pattern. If the length of the actual image contour located below the circular pattern is greater than the length of the actual image contour located within the circular pattern, the determination result is a decline; otherwise, the determination result is to maintain;

[0064] If part of the actual image contour is located within the circular pattern and the remaining part of the actual image contour is located above the circular pattern, compare the lengths of the actual image contour located above the circular pattern and the actual image contour located within the circular pattern. If the length of the actual image contour located above the circular pattern is greater than the length of the actual image contour located within the circular pattern, the determination result is a rise; otherwise, the determination result is to maintain.

[0065] The above method provides a specific method of how to compare the actual image contour with the comparison image contour through manual or image recognition algorithms, as well as the corresponding output results, for feedback on the conclusion when the final live marketing data is output in the form of an annual report.

[0066] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A live broadcast marketing data management method, characterized in that: The following steps are included: Establish main projects by live broadcast type according to the annual report form; Establish several paths along the broad categories of main projects; Each path includes a main path and several branches, and the leaf nodes of the main path and branches correspond to the specific assessment items in the annual report form, and the child nodes of the main path and branches correspond to the middle-class assessment items in the annual report form; Convert the values ​​of leaf nodes and the specific assessment items and middle-class assessment items in the annual report table corresponding to the child nodes into binary, and merge them to form the actual matrix values; Convert the actual binary matrix values ​​into a black and white image, using black dots to form the actual image outline; The data in the annual report table standard is converted into binary and merged to form a contrast matrix value, and the binary contrast matrix value is converted into a black and white image, and the contrast image outline is formed with black dots; The actual image contour is compared with the comparison image contour manually or through an image recognition algorithm.

2. A live broadcast marketing data management and control method according to claim 1, characterized in that: In the actual matrix value and the comparison matrix value, 1 is defined as a black point and 0 is defined as a white point.

3. A live broadcast marketing data management and control method according to claim 2, characterized in that: Subtract the actual matrix value from the comparison matrix value and display the absolute value. 0 is a white dot and 1 is a black dot. The difference after subtracting the actual matrix value from the comparison matrix value is displayed as black dots, and the amount of black dots is observed and compared.

4. A live broadcast marketing data management and control method according to claim 3, characterized in that: The actual matrix value is subtracted from the comparison matrix value and the absolute value is displayed, 0 is a white dot, 1 is a black dot, the difference after the actual matrix value is subtracted from the comparison matrix value is displayed as a black dot, and the amount of black dots is observed and compared, including the following steps: Calculate the difference matrix between the actual matrix value and the comparison matrix, and display its absolute value. The "1" in the difference matrix represents the difference between the actual and standard data. ( i,j ) =|A i,j -B i,j ∣, where ∣·∣ is an absolute value operation; Count the frequency of black points in the difference matrix and analyze the difference between the actual data and the standard data. BlackPointCount = ∑ i,j DifferenceMatrix ( i,j ) , where the number of black dots indicates the degree of deviation between the actual result and the standard.

5. A live broadcast marketing data management and control method according to claim 4, characterized in that: Set the upper and lower limits of the comparison matrix value to form the comparison upper limit matrix value and the comparison lower limit matrix value B upper ( i,j ) =B i,j +∈,B lower ( i,j ) =B i,j -∈, where ∈ is the tolerance error range, and forms a circular pattern CircularPattern = {B upper ,B lower }.

6. A live broadcast marketing data management and control method according to claim 5, characterized in that: Compare the actual image outline with the ring pattern to determine whether it is rising, falling, or maintaining.

7. A live broadcast marketing data management and control method according to claim 6, characterized in that: The step of comparing the actual image contour with the annular pattern to determine whether the image is rising, falling, or maintaining includes the following steps: If the actual image outline is below the ring pattern, the result is a decline; If the actual image outline is above the annular pattern, the judgment result is floating; If the actual image contour is within the annular pattern, the determination result is maintain; If the actual image contour is partially located within the annular pattern, and the remaining portion of the actual image contour is located below the annular pattern, then the lengths of the actual image contours located below the annular pattern and within the annular pattern are compared. If the length of the actual image contour below the annular pattern is greater than the length of the actual image contour within the annular pattern, then the result of the determination is a decrease; otherwise, the result of the determination is a maintenance; If part of the actual image contour is located within the annular pattern and the remaining part of the actual image contour is located above the annular pattern, the lengths of the actual image contours located above the annular pattern and within the annular pattern are compared. If the length of the actual image contour above the annular pattern is greater than the length of the actual image contour within the annular pattern, the judgment result is floating; otherwise, the judgment result is maintaining.

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