Media data processing method and device, equipment, storage medium and program product

Abstract

The invention relates to the technical field of big data, and discloses a medium data processing method and device, equipment, a storage medium and a program product. The method comprises the steps of creating a media analysis task associated with a target media object in response to a creation operation input by a user for the media analysis task, and collecting media object attribute data associated with the target media object in real time within an activity time range associated with the target media object in response to the fact that the task state of the media analysis task is an effective state, and performing data processing on the media object attribute data according to a first data processing rule and a second data processing rule, and displaying the delivery effect description data of the target media object in a media analysis result display page of the media analysis task. By adopting the method, the real-time performance and the accuracy of medium object release effect analysis can be improved.

Description

Technical Field

[0001] This application relates to the field of big data technology, and in particular to media data processing methods, apparatus, devices, storage media, and program products. Background Technology

[0002] In the digital age, advertising has shifted from traditional media to a multi-media approach centered on the internet, covering all touchpoints including search platforms, social media, and short video applications. The interplay of massive media data and user behavior has resulted in complex characteristics of cross-channel, multi-touchpoint, and long-term advertising campaigns, making the accurate measurement of cross-channel advertising effectiveness increasingly challenging.

[0003] In related technologies, after the advertising campaign concludes, relevant data analysis tools are used to analyze the effectiveness of the advertising campaign. However, since the analysis begins after the campaign ends, it can only be used for post-campaign attribution, resulting in a time lag. Furthermore, the analysis lacks depth, the effectiveness indicators are limited, making it difficult to accurately measure the effectiveness of the advertising campaign and failing to meet diverse analytical needs. Summary of the Invention

[0004] Therefore, it is necessary to provide a media data processing method, apparatus, equipment, storage medium, and program product that can improve the real-time performance and accuracy of media target delivery effect analysis in response to the above-mentioned technical problems.

[0005] In a first aspect, this application provides a media data processing method, including:

[0006] In response to the user's creation operation for the media analysis task input, a media analysis task associated with the target media object is created;

[0007] In response to the media analysis task being in an active state, the media object attribute data associated with the target media object is collected in real time within the activity time range associated with the target media object; the media object attribute data is the attribute data generated after the target media object is displayed by the media object display platform.

[0008] According to a first data processing rule matching the first funnel level, the media object attribute data is processed to obtain the first delivery effect index data of the target media object within the activity time range; and according to a second data processing rule matching the second funnel level, the media object attribute data is processed to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level.

[0009] The media analysis results display page of the media analysis task displays the delivery effect description data of the target media object, which includes at least one of the first delivery effect indicator data and the second delivery effect indicator data.

[0010] In one embodiment, the first funnel level includes a selected account level, a first exposure account level, a first click account level, and a successful conversion account level. The step of processing the media object attribute data according to a first data processing rule matching the first funnel level to obtain the first delivery performance indicator data of the target media object within the activity time range includes:

[0011] According to the instructions of the first data processing rule, select account data that matches the selected account level within the activity time range from the media object attribute data, and process the selected account data to obtain selected account indicator data.

[0012] Filter the first exposure account data that matches the first exposure account level from the selected account data, and process the first exposure account data to obtain exposure indicator data;

[0013] Filter the first click account data that matches the first click account level from the first exposure account data, and process the first click account data to obtain click metric data;

[0014] Filter the successful conversion account data that matches the successful conversion account level from the first click account data, and process the successful conversion account data to obtain the first successful conversion indicator data;

[0015] The output includes the first campaign performance data, which includes the selected account metrics data, the exposure metrics data, the click metrics data, and the first successful conversion metrics data.

[0016] In one embodiment, the second funnel level includes a second exposure account level and a second click account level. The step of processing the media object attribute data according to a second data processing rule matching the second funnel level to obtain second delivery performance indicator data for the target media object within a preset time range includes:

[0017] According to the instructions of the second data processing rule, the second exposure account data that matches the second exposure account level within the preset time range is filtered from the media object attribute data, and the second successful conversion index data is obtained by processing the second exposure account data.

[0018] From the second exposure account data, filter out the second click account data that matches the second click account level, and process the second click account data to obtain the third successful conversion indicator data;

[0019] The output includes second campaign performance data, which includes the second successful conversion index data and the third successful conversion index data.

[0020] In one embodiment, displaying the delivery effect description data of the target media object on the media analysis result display page of the media analysis task includes:

[0021] Obtain display configuration information for the second exposed account data, and determine multiple target dates within the preset time range based on the display configuration information;

[0022] Filter the second and third successful conversion indicator data corresponding to the multiple target dates;

[0023] The media analysis results display page of the media analysis task displays the second campaign performance data, including the filtered second successful conversion index data and the third successful conversion index data.

[0024] In one embodiment, the method further includes:

[0025] A list of media analysis tasks is displayed on a pre-defined media analysis task management interface; the list of media analysis tasks includes multiple media analysis tasks.

[0026] In response to user adjustments to the media analysis task list, the display method for multiple media analysis tasks is adjusted.

[0027] In response to a user's edit operation on a target media analysis task in the media analysis task list, the task configuration information of the target media analysis task is edited.

[0028] In one embodiment, the creation of a media analysis task associated with a target media object in response to a user's creation operation for inputting a media analysis task includes:

[0029] In response to the user's creation operation for the media analysis task, obtain the media object code entered by the user and the media object type selected by the user;

[0030] The target media object is determined based on the media object code and the media object type;

[0031] Create a media analysis task associated with the target media object.

[0032] Secondly, this application also provides a media data processing apparatus, the apparatus comprising:

[0033] The analysis task creation module is used to create a media analysis task associated with the target media object in response to the user's creation operation input for the media analysis task;

[0034] The data acquisition module is used to collect media object attribute data associated with the target media object in real time within the activity time range associated with the target media object in response to the task status of the media analysis task being in an active state; the media object attribute data is the attribute data generated after the target media object is displayed by the media object display platform;

[0035] The data processing module is used to process the media object attribute data according to a first data processing rule matching the first funnel level to obtain the first delivery effect index data of the target media object within the activity time range, and to process the media object attribute data according to a second data processing rule matching the second funnel level to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level;

[0036] The data display module is used to display the delivery effect description data of the target media object on the media analysis result display page of the media analysis task. The delivery effect description data includes at least one of the first delivery effect indicator data and the second delivery effect indicator data.

[0037] In one embodiment, the first funnel level includes a selected account level, a first exposure account level, a first click account level, and a successfully converted account level, and the data processing module includes:

[0038] The selected account indicator processing submodule is used to filter selected account data from the media object attribute data within the activity time range and matching the selected account level according to the instructions of the first data processing rules, and to process the selected account data to obtain selected account indicator data.

[0039] The first exposure index processing submodule is used to filter first exposure account data that matches the first exposure account level from the selected account data, and process the first exposure account data to obtain exposure index data.

[0040] The click metric processing submodule is used to filter first click account data that matches the first click account level from the first exposure account data, and process the first click account data to obtain click metric data.

[0041] The first successful conversion indicator processing submodule is used to filter successful conversion account data that matches the successful conversion account level from the first click account data, and process the successful conversion account data to obtain the first successful conversion indicator data.

[0042] The first campaign performance indicator output submodule is used to output the first campaign performance indicator data, which includes the selected account indicator data, the exposure indicator data, the click indicator data, and the first successful conversion indicator data.

[0043] In one embodiment, the second funnel level includes a second exposure account level and a second click account level, and the data processing module further includes:

[0044] The second successful conversion indicator processing submodule is used to filter second exposure account data that matches the second exposure account level from the media object attribute data within the preset time range, according to the instructions of the second data processing rules, and to process the second exposure account data to obtain the second successful conversion indicator data.

[0045] The third successful conversion indicator processing submodule is used to filter second click account data that matches the second click account level from the second exposure account data, and process the second click account data to obtain the third successful conversion indicator data.

[0046] The second campaign performance output submodule is used to output second campaign performance indicator data, which includes the second successful conversion indicator data and the third successful conversion indicator data.

[0047] In one embodiment, the data display module includes:

[0048] The target date determination submodule is used to obtain display configuration information for the second exposed account data, and determine multiple target dates within the preset time range based on the display configuration information;

[0049] The date filtering submodule is used to filter the second and third successful conversion indicator data corresponding to the multiple target dates.

[0050] The date-filtered data display submodule is used to display the second campaign performance data, including the filtered second successful conversion indicator data and the third successful conversion indicator data, on the media analysis results display page of the media analysis task.

[0051] In one embodiment, the device further includes:

[0052] The media analysis task list display module is used to display a media analysis task list on a preset media analysis task management interface; the media analysis task list includes multiple media analysis tasks.

[0053] The task list adjustment module is used to respond to the user's adjustment operation on the media analysis task list and adjust the display method of multiple media analysis tasks.

[0054] The analysis task editing module is used to edit the task configuration information of the target media analysis task in response to the user's editing operation on the target media analysis task in the media analysis task list.

[0055] In one embodiment, the analysis task creation module includes:

[0056] The target media object information acquisition submodule is used to respond to the user's creation operation for the media analysis task input, and to obtain the media object code input by the user and the media object type selected by the user;

[0057] The target media object determination submodule is used to determine the target media object based on the media object code and the media object type.

[0058] The analysis task creation submodule is used to create media analysis tasks associated with the target media object.

[0059] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0060] In response to the user's creation operation for the media analysis task input, a media analysis task associated with the target media object is created;

[0061] In response to the media analysis task being in an active state, the media object attribute data associated with the target media object is collected in real time within the activity time range associated with the target media object; the media object attribute data is the attribute data generated after the target media object is displayed by the media object display platform.

[0062] According to a first data processing rule matching the first funnel level, the media object attribute data is processed to obtain the first delivery effect index data of the target media object within the activity time range; and according to a second data processing rule matching the second funnel level, the media object attribute data is processed to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level.

[0063] The media analysis results display page of the media analysis task displays the delivery effect description data of the target media object, which includes at least one of the first delivery effect indicator data and the second delivery effect indicator data.

[0064] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0065] In response to the user's creation operation for the media analysis task input, a media analysis task associated with the target media object is created;

[0066] In response to the media analysis task being in an active state, the media object attribute data associated with the target media object is collected in real time within the activity time range associated with the target media object; the media object attribute data is the attribute data generated after the target media object is displayed by the media object display platform.

[0067] According to a first data processing rule matching the first funnel level, the media object attribute data is processed to obtain the first delivery effect index data of the target media object within the activity time range; and according to a second data processing rule matching the second funnel level, the media object attribute data is processed to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level.

[0068] The media analysis results display page of the media analysis task displays the delivery effect description data of the target media object, which includes at least one of the first delivery effect indicator data and the second delivery effect indicator data.

[0069] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0070] In response to the user's creation operation for the media analysis task input, a media analysis task associated with the target media object is created;

[0071] In response to the media analysis task being in an active state, the media object attribute data associated with the target media object is collected in real time within the activity time range associated with the target media object; the media object attribute data is the attribute data generated after the target media object is displayed by the media object display platform.

[0072] According to a first data processing rule matching the first funnel level, the media object attribute data is processed to obtain the first delivery effect index data of the target media object within the activity time range; and according to a second data processing rule matching the second funnel level, the media object attribute data is processed to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level.

[0073] The media analysis results display page of the media analysis task displays the delivery effect description data of the target media object, which includes at least one of the first delivery effect indicator data and the second delivery effect indicator data.

[0074] The aforementioned media data processing methods, devices, equipment, storage media, and program products create media analysis tasks associated with target media objects. Responding to the task status being valid, they collect media object attribute data associated with the target media object in real time within the activity time range associated with the target media object. This enables dynamic tracking of the target media object on a task-by-task basis for real-time analysis of campaign performance. The task status also allows for management of corresponding media analysis tasks. Following a first data processing rule matching the first funnel level, the media object attribute data is processed to obtain first campaign performance indicator data, covering the entire activity time range and forming a comprehensive and detailed "strict" indicator. Following a second data processing rule matching the second funnel level, the media object attribute data is processed to obtain second campaign performance indicator data within a preset time range, forming a "broad" indicator focusing on key time ranges. Finally, by visualizing campaign performance description data, including at least one of the "strict" and "broad" indicators, on the media analysis results display page, users can obtain real-time, multi-dimensional campaign performance information, allowing them to accurately and promptly adjust the campaign strategy corresponding to the target media object.

[0075] In one embodiment, by filtering and processing the media object attribute data layer by layer according to the business path of selection, exposure, click and successful conversion, four different dimensions of "strict" delivery performance indicators are obtained. This enables multi-level and fine-grained analysis covering the target media object's activity time, which can assist users (such as advertisers) in analysis and decision-making from multiple dimensions.

[0076] In one embodiment, by analyzing the successful conversion metrics of exposure and clicks within a preset time range, a second "broad-based" campaign performance metric is obtained, enabling the associated conversion of accounts at each funnel level within the time window. This effectively assists users (such as advertisers) in evaluating the auxiliary conversion value of the target media.

[0077] In one embodiment, multiple target dates within a preset time range are determined by displaying configuration information, and the second and third successful conversion indicator data are filtered and displayed according to the multiple target dates. This makes it easier for users to focus on the successful conversion indicators of multiple key dates, and also makes it easier for users to analyze the successful conversion trend of the target media object within the preset time range.

[0078] In one embodiment, a list of media analysis tasks is provided to display multiple media analysis tasks, and the display method of the media analysis tasks and the task configuration information can be adjusted to facilitate the management of media analysis tasks and improve the efficiency of the user's analysis of various media objects.

[0079] In one embodiment, by using the media object code and media object type, users can quickly locate the target media object that needs to be analyzed, and create media analysis tasks associated with the target media object with "one click", thereby improving the efficiency of users in analyzing the effectiveness of ad placement. Attached Figure Description

[0080] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0081] Figure 1 A flowchart illustrating the steps of a media data processing method provided in an embodiment of this application;

[0082] Figure 2 A flowchart illustrating the steps for obtaining the first delivery effect index data in an embodiment of this application;

[0083] Figure 3 This is a schematic diagram illustrating the dual-server interaction for processing and displaying the first delivery performance indicator data provided in an embodiment of this application.

[0084] Figure 4 A flowchart illustrating the steps for obtaining second delivery effect index data in an embodiment of this application;

[0085] Figure 5 This is a schematic diagram illustrating the dual-server interaction for processing and displaying the second delivery performance indicator data provided in an embodiment of this application.

[0086] Figure 6 A structural block diagram of a media data processing apparatus provided in an embodiment of this application;

[0087] Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0088] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. It should be noted that existing industry solutions such as software, components, and models may be mentioned in the embodiments of this application. These should be considered exemplary and are intended only to illustrate the feasibility of implementing the technical solutions of this application, but do not imply that the applicant has already used or necessarily used such solutions.

[0089] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data must comply with relevant regulations. Users can refuse pushed advertisements or easily refuse advertisement push information. The acquisition, storage, use, and processing of data in the technical solution of this application all comply with relevant national laws and regulations.

[0090] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0091] In one embodiment, such as Figure 1 As shown, a media data processing method is provided. This embodiment illustrates the method applied to a terminal. It is understood that this method can also be applied to a server, and further to a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0092] Step 101: In response to the user's creation operation for the media analysis task input, create a media analysis task associated with the target media object;

[0093] In practice, media analysis tasks refer to tasks that analyze various types of media objects. For example, advertising analysis tasks can analyze the effectiveness of different advertisements or the effectiveness of different advertising campaigns for the same advertisement. The target media object can specifically be a particular advertisement, such as the advertisement corresponding to a specific advertising campaign. Users can input relevant information about the target media object to create media analysis tasks associated with it.

[0094] In practical applications, a data table for media analysis tasks can be created in the database. After a user creates a media analysis task, relevant data for that task can be inserted into the data table. Taking advertising analysis tasks as an example, the data table for advertising analysis tasks can include the following fields: Advertising Analysis Task ID, Advertising Analysis Task Name, Advertising Placement Task ID, Advertising Placement Task Number, Analysis Task Type, Analysis Task Start Time, Analysis Task End Time, Analysis Task Status, Ad ID, Task's First-Level Department Number, Channel Number, Product Code (i.e., the code of the product promoted by the advertisement), Creator, Creation Time, Modifier, Modification Time, and several spare fields.

[0095] In some embodiments, the creation of a media analysis task associated with a target media object in response to a user's creation operation for a media analysis task input includes:

[0096] In response to the user's creation operation for the media analysis task, obtain the media object code entered by the user and the media object type selected by the user;

[0097] The target media object is determined based on the media object code and the media object type;

[0098] Create a media analysis task associated with the target media object.

[0099] In practical implementation, various interactive controls can be provided in the graphical interface. Users can input relevant information about the target media object they want to analyze by operating these controls. For example, users can enter the media object code in the input box control and select the media object type through the drop-down selection box control. The media object code is used to identify the media object, such as an ad ID or ad placement task ID; the media object type indicates the relevant type information of the media object. For example, based on the nature of the media, the media object type can include web ads, video ads, etc.; or based on the type of product promoted by the media object, the media object type can include fund products, wealth management products, etc. After the user clicks the relevant control to create a media analysis task, the media object code and media object type are submitted to the server in the form of a form. The server then matches the corresponding target media object based on the media object code and media type and creates a media analysis task associated with the target media object.

[0100] In practical applications, a checkbox control can be provided for each advertising task on the graphical interface that displays the list of advertising tasks, such as "Increase campaign conversion effectiveness". By checking the corresponding checkbox control, the advertising task can be selected, and then the media analysis task corresponding to the selected advertising task can be created by creating a control.

[0101] In this embodiment, by using the media object code and media object type, users can quickly locate the target media object that needs to be analyzed, and create the media analysis task associated with the target media object with "one click", thereby improving the efficiency of users in analyzing the effect of the campaign.

[0102] Step 102: In response to the media analysis task being in an active state, collect media object attribute data associated with the target media object in real time within the activity time range associated with the target media object;

[0103] The media object attribute data refers to the attribute data generated after the target media object is displayed by the media object display platform.

[0104] In practical implementation, when the media analysis task is in an active state, media object attribute data of the target media object can be collected in real time to analyze the delivery effect of the target media object. The media object display platform can be a multimedia platform, such as a video website or a text and image website. The media object attribute data refers to the attribute data generated after the target media object is displayed on the media object display platform, such as browsing data and click data. The activity time range refers to the effective activity time range of the target media object, such as the duration of the advertisement placement and the activity time corresponding to the advertisement content.

[0105] In some examples, the target media object can be an ad corresponding to a certain ad delivery task. Through different related data tables or data interfaces, the media object attribute data corresponding to the ad delivery task on different media object display platforms can be collected, such as ad click data, ad pageview data, ad viewing duration data, etc.

[0106] Step 103: Process the media object attribute data according to the first data processing rule and the second data processing rule respectively;

[0107] Specifically, the media object attribute data is processed according to a first data processing rule matching the first funnel level to obtain the first delivery effect index data of the target media object within the activity time range; and the media object attribute data is processed according to a second data processing rule matching the second funnel level to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level.

[0108] In practical implementation, different levels in the funnel hierarchy correspond to progressively different stages in the business process associated with the target media object. The funnel hierarchy allows for the filtering of media object attribute data level by level. Data processing rules refer to processing the original media object attribute data level by level according to the funnel hierarchy to obtain the corresponding delivery performance indicators for each level. Specifically, data processing rules can define the type of delivery performance indicators to be obtained, the processing method, etc. The first funnel hierarchy has more levels than the second funnel hierarchy, meaning the first funnel has a more in-depth analytical dimension.

[0109] The first data processing rule processes data at the first funnel level of in-depth analysis, covering media object attribute data within the campaign timeframe to obtain a "strict" first performance indicator, reflecting the target media object's performance within the same session for accurate performance attribution. The second data processing rule processes data at the second funnel level of simplified analysis, processing media object attribute data within a preset timeframe to obtain a "broad" performance indicator, covering performance across different timeframes for multi-touchpoint attribution, trend analysis, and continuous performance tracking. These two different levels and dimensions of performance indicator data accurately reflect the target media's performance, allowing users to monitor dynamic changes in performance in real time and adjust strategies accordingly.

[0110] In practical applications, the processed first and second campaign performance metrics data can be stored in corresponding data tables. For example, the first and second campaign performance metrics data can be distinguished by different table names and can include the following fields: date processing identifier, custom primary key ID, funnel level, metric ID, metric name, metric value, processing date, processing display rules, task ID, ad ID, task's primary department number, channel number, channel ID, column ID, and several spare fields.

[0111] In some embodiments, the first funnel hierarchy includes a selected account hierarchy, a first exposure account hierarchy, a first click account hierarchy, and a successfully converted account hierarchy, such as... Figure 2 As shown, the step of processing the media object attribute data according to the first data processing rule matching the first funnel level to obtain the first delivery effect index data of the target media object within the activity time range includes:

[0112] Step 201: According to the instructions of the first data processing rule, filter the selected account data from the media object attribute data that are within the activity time range and match the selected account level, and process the selected account data to obtain the selected account indicator data.

[0113] Step 202: Filter the first exposure account data that matches the first exposure account level from the selected account data, and process the first exposure account data to obtain exposure indicator data;

[0114] Step 203: Filter the first click account data that matches the first click account level from the first exposure account data, and process the first click account data to obtain click indicator data;

[0115] Step 204: Filter the successful conversion account data that matches the successful conversion account level from the first click account data, and process the successful conversion account data to obtain the first successful conversion indicator data;

[0116] Step 205: Output the first campaign performance data, which includes the selected account indicator data, the exposure indicator data, the click indicator data, and the first successful conversion indicator data.

[0117] In the specific implementation, the first funnel level includes the selected account level, the first exposure account level, the first click account level, and the successful conversion account level, and the levels are divided according to the order of selection, exposure, click to successful conversion;

[0118] Selected accounts refer to a designated group of accounts, which can be specifically designated by the department responsible for media targeting. Selected account data refers to the relevant data belonging to selected accounts within the media target attribute data.

[0119] Filter the selected account data within the activity period by the largest selected account level; based on the selected account data, process the selected account indicator data according to the preset data analysis algorithm or statistical algorithm to obtain the selected account indicator data, which may specifically include indicators such as the number of selected accounts.

[0120] First exposure account data refers to the relevant data of the exposure accounts belonging to the target media object in the media object attribute data; the first exposure account data that matches the exposure account level is selected from the selected account data, and exposure indicator data is obtained by processing the first exposure account data based on the preset data analysis algorithm or statistical algorithm; the exposure indicator data may specifically include the number of exposures, the number of exposure accounts, etc.

[0121] First-click account data refers to the data from the first-exposure account data that pertains to clicks on media related to the target medium, such as clicks on links or web page controls related to the target medium. Click account data matching the click account hierarchy is filtered from the first-exposure account data. Based on this click account data, click metric data is obtained using a preset data analysis or statistical algorithm. Specific click metric data may include the number of clicking accounts, UV (Unique Visitor) click-through rate, and total number of clicks.

[0122] Successful conversion account data refers to the data of accounts that have successfully converted, such as those that have generated transactions, within the click account data. Successful conversion account data matching the successful conversion account tier is filtered from the click account data. Based on this data, a first successful conversion indicator is obtained using a preset data analysis or statistical algorithm. The first successful conversion indicator data may specifically include the number of accounts with successful transactions, the total number of transactions, the total transaction value, the average number of transactions per account, and the average transaction value.

[0123] The output includes first campaign performance metrics data, including selected account metrics data, exposure metrics data, click metrics data, and first successful conversion metrics data.

[0124] In practical applications, such as Figure 3As shown, the data processing server can process the media object attribute data according to the four levels of the first funnel level: the selected account level, the first exposure account level, the first click account level, and the successful conversion account level to obtain the first campaign performance indicator data. Then, the data display server can store the first campaign performance indicator data by creating corresponding data tables and display the campaign performance description data including the first campaign performance indicator data.

[0125] The first performance metrics can be presented in the form of Table 1:

[0126] Table 1: Data Table of First Target Performance Indicators

[0127]

[0128] In this embodiment, by filtering and processing the media object attribute data layer by layer according to the business path of selection, exposure, click, and successful conversion, four different dimensions of "strict" delivery performance indicators are obtained. This enables multi-level and fine-grained analysis covering the target media object's activity time, which can assist users (such as advertisers) in analysis and decision-making from multiple dimensions.

[0129] In some embodiments, the second funnel level includes a second exposure account level and a second click account level, wherein the data processing is performed according to a second data processing rule that matches the second funnel level, such as... Figure 4 As shown, the media object attribute data is processed to obtain the second delivery performance index data of the target media object within a preset time range, including:

[0130] Step 401: According to the instructions of the second data processing rules, filter the second exposure account data from the media object attribute data that are within the preset time range and match the second exposure account level, and process the second exposure account data to obtain the second successful conversion index data;

[0131] Step 402: From the second exposure account data, filter out the second click account data that matches the second click account level, and process the second click account data to obtain the third successful conversion indicator data;

[0132] Step 403: Output the second campaign performance indicator data, which includes the second successful conversion indicator data and the third successful conversion indicator data.

[0133] In its implementation, the second funnel level includes a second exposure account level and a second click account level, and the levels are divided in the order of exposure and click.

[0134] According to the instructions of the second data processing rule, the second exposure account data that is within a preset time range and matches the second exposure account level is filtered from the media object attribute data; the second exposure account data refers to the relevant data of the account that belongs to the exposure of the target media object in the media object attribute data.

[0135] Based on the data from the second exposed accounts, the second successful conversion indicator data is obtained by processing the data using a preset data analysis algorithm or statistical algorithm. The second successful conversion indicator data may specifically include indicators such as the number of accounts with successful transactions, the number of successful transactions, and the total value of successful transactions.

[0136] The second click account data refers to the data of accounts that clicked on media related to the target media object, such as clicks on links or web page controls related to the target media object; the third successful conversion indicator data specifically includes indicators such as the number of accounts with successful transactions, the number of successful transactions, and the total value of successful transactions.

[0137] The output includes second and third successful conversion metrics, which are used to display the second and third successful conversion metrics to users through the media analysis results display page.

[0138] In this embodiment, by analyzing the successful conversion metrics of exposure and clicks within a preset time range, a second "broad-based" campaign performance metric is obtained, enabling the associated conversion of accounts at each funnel level within the time window. This effectively assists users (such as advertisers) in evaluating the auxiliary conversion value of the target media.

[0139] In some embodiments, the method further includes:

[0140] A list of media analysis tasks is displayed on a pre-defined media analysis task management interface; the list of media analysis tasks includes multiple media analysis tasks.

[0141] In response to user adjustments to the media analysis task list, the display method for multiple media analysis tasks is adjusted.

[0142] In response to a user's edit operation on a target media analysis task in the media analysis task list, the task configuration information of the target media analysis task is edited.

[0143] In practice, the media analysis task management interface can display a list of media analysis tasks, along with corresponding display adjustment controls. The media analysis task list includes multiple media analysis tasks and corresponding editing controls. Users can filter and sort media analysis tasks using the display adjustment controls, and can also operate through the editing controls corresponding to the target media analysis task to edit the task configuration information of the target media analysis task, such as the effective status, funnel level, type of the first delivery performance indicator, and type of the second delivery performance indicator.

[0144] In this embodiment, a list of media analysis tasks is provided to display multiple media analysis tasks, and the display method of the media analysis tasks and the task configuration information can be adjusted to facilitate the management of media analysis tasks and improve the efficiency of the user's analysis of various media objects.

[0145] Step 104: Display the delivery effect description data of the target media object on the media analysis result display page of the media analysis task;

[0146] The delivery performance description data includes at least one of the first delivery performance indicator data and the second delivery performance indicator data.

[0147] In practical implementation, the descriptive data of the campaign performance, including at least one of the first and second campaign performance metrics, can be displayed on software tools, web pages, and other media through tables, graphs, text reports, etc. For example, the first and second campaign performance metrics can be displayed simultaneously on the same page, or the display of the first or second campaign performance metrics can be switched using a toggle control (TAB control).

[0148] In some embodiments, displaying the delivery effect description data of the target media object on the media analysis result display page of the media analysis task includes:

[0149] Obtain display configuration information for the second exposed account data, and determine multiple target dates within the preset time range based on the display configuration information;

[0150] Filter the second and third successful conversion indicator data corresponding to the multiple target dates;

[0151] The media analysis results display page of the media analysis task displays the second campaign performance data, including the filtered second successful conversion index data and the third successful conversion index data.

[0152] In the specific implementation, based on the display configuration information of the second exposure account data, the second successful conversion indicator data and the third successful conversion indicator data can be filtered and displayed for multiple target dates. For example, the second successful conversion indicator data and the third successful conversion indicator data corresponding to a specified date (T) and the dates associated with the specified date (T+3, T+7) can be displayed.

[0153] In practical applications, such as Figure 5 As shown, the second delivery performance indicator data can be obtained by processing the media object attribute data according to the second funnel level through the data processing server. Then, the second delivery performance indicator data can be stored by establishing a corresponding data table through the data display server, and the delivery performance description data including the second delivery performance indicator data can be displayed.

[0154] The second set of performance metrics can be presented in the form of Table 2:

[0155] Table 2: Data Table of Second Implementation Performance Indicators

[0156]

[0157] In this embodiment, multiple target dates within a preset time range are determined by displaying configuration information, and the second and third successful conversion indicator data are filtered and displayed according to the multiple target dates. This makes it easier for users to focus on the successful conversion indicators of multiple key dates, and also makes it easier for users to analyze the successful conversion trend of the target media object within the preset time range.

[0158] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0159] Based on the same inventive concept, this application also provides a media data processing apparatus for implementing the media data processing method described above. The solution provided by this apparatus is similar to the implementation described in the above method; therefore, the specific limitations in one or more media data processing apparatus embodiments provided below can be found in the limitations of the media data processing method described above, and will not be repeated here.

[0160] In one exemplary embodiment, such as Figure 6 As shown, a media data processing apparatus is provided, comprising:

[0161] The analysis task creation module 601 is used to create a media analysis task associated with the target media object in response to the user's creation operation input for the media analysis task;

[0162] The data acquisition module 602 is used to collect media object attribute data associated with the target media object in real time within the activity time range associated with the target media object in response to the task status of the media analysis task being in an active state; the media object attribute data is the attribute data generated after the target media object is displayed by the media object display platform;

[0163] The data processing module 603 is used to process the media object attribute data according to a first data processing rule matching the first funnel level to obtain the first delivery effect index data of the target media object within the activity time range, and to process the media object attribute data according to a second data processing rule matching the second funnel level to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level;

[0164] The data display module 604 is used to display the delivery effect description data of the target media object on the media analysis result display page of the media analysis task. The delivery effect description data includes at least one of the first delivery effect indicator data and the second delivery effect indicator data.

[0165] The first funnel hierarchy includes a selected account hierarchy, a first exposure account hierarchy, a first click account hierarchy, and a successfully converted account hierarchy. The data processing module 603 includes:

[0166] The selected account indicator processing submodule is used to filter selected account data from the media object attribute data within the activity time range and matching the selected account level according to the instructions of the first data processing rules, and to process the selected account data to obtain selected account indicator data.

[0167] The first exposure index processing submodule is used to filter first exposure account data that matches the first exposure account level from the selected account data, and process the first exposure account data to obtain exposure index data.

[0168] The click metric processing submodule is used to filter first click account data that matches the first click account level from the first exposure account data, and process the first click account data to obtain click metric data.

[0169] The first successful conversion indicator processing submodule is used to filter successful conversion account data that matches the successful conversion account level from the first click account data, and process the successful conversion account data to obtain the first successful conversion indicator data.

[0170] The first campaign performance indicator output submodule is used to output the first campaign performance indicator data, which includes the selected account indicator data, the exposure indicator data, the click indicator data, and the first successful conversion indicator data.

[0171] In some embodiments, the second funnel hierarchy includes a second exposure account hierarchy and a second click account hierarchy, and the data processing module 603 further includes:

[0172] The second successful conversion indicator processing submodule is used to filter second exposure account data that matches the second exposure account level from the media object attribute data within the preset time range, according to the instructions of the second data processing rules, and to process the second exposure account data to obtain the second successful conversion indicator data.

[0173] The third successful conversion indicator processing submodule is used to filter second click account data that matches the second click account level from the second exposure account data, and process the second click account data to obtain the third successful conversion indicator data.

[0174] The second campaign performance output submodule is used to output second campaign performance indicator data, which includes the second successful conversion indicator data and the third successful conversion indicator data.

[0175] In some embodiments, the data display module 604 includes:

[0176] The target date determination submodule is used to obtain display configuration information for the second exposed account data, and determine multiple target dates within the preset time range based on the display configuration information;

[0177] The date filtering submodule is used to filter the second and third successful conversion indicator data corresponding to the multiple target dates.

[0178] The date-filtered data display submodule is used to display the second campaign performance data, including the filtered second successful conversion indicator data and the third successful conversion indicator data, on the media analysis results display page of the media analysis task.

[0179] In some embodiments, the apparatus further includes:

[0180] The media analysis task list display module is used to display a media analysis task list on a preset media analysis task management interface; the media analysis task list includes multiple media analysis tasks.

[0181] The task list adjustment module is used to respond to the user's adjustment operation on the media analysis task list and adjust the display method of multiple media analysis tasks.

[0182] The analysis task editing module is used to edit the task configuration information of the target media analysis task in response to the user's editing operation on the target media analysis task in the media analysis task list.

[0183] In some embodiments, the analysis task creation module 601 includes:

[0184] The target media object information acquisition submodule is used to respond to the user's creation operation for the media analysis task input, and to obtain the media object code input by the user and the media object type selected by the user;

[0185] The target media object determination submodule is used to determine the target media object based on the media object code and the media object type.

[0186] The analysis task creation submodule is used to create media analysis tasks associated with the target media object.

[0187] Each module in the aforementioned media data processing device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0188] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7As shown, the computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data including, but not limited to, media object attribute data, first delivery performance index data, and second delivery performance index data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a media data processing method.

[0189] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 7 As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a media data processing method. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0190] Those skilled in the art will understand that Figure 7The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0191] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the media data processing method described above.

[0192] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the media data processing method described above.

[0193] In one embodiment, the computer program, when executed by a processor, also implements the media data processing method described above.

[0194] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the media data processing method described above.

[0195] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0196] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0197] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0198] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A media data processing method, characterized in that, The method includes: In response to the user's creation operation for the media analysis task input, a media analysis task associated with the target media object is created; In response to the media analysis task being in an active state, the media object attribute data associated with the target media object is collected in real time within the activity time range associated with the target media object; the media object attribute data is the attribute data generated after the target media object is displayed by the media object display platform. According to a first data processing rule matching the first funnel level, the media object attribute data is processed to obtain the first delivery effect index data of the target media object within the activity time range; and according to a second data processing rule matching the second funnel level, the media object attribute data is processed to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level. The media analysis results display page of the media analysis task displays the delivery effect description data of the target media object, which includes at least one of the first delivery effect indicator data and the second delivery effect indicator data.

2. The method according to claim 1, characterized in that, The first funnel level includes a selected account level, a first exposure account level, a first click account level, and a successful conversion account level. The process of processing the media object attribute data according to a first data processing rule matching the first funnel level to obtain the first delivery performance indicator data of the target media object within the activity time range includes: According to the instructions of the first data processing rule, select account data that matches the selected account level within the activity time range from the media object attribute data, and process the selected account data to obtain selected account indicator data. Filter the first exposure account data that matches the first exposure account level from the selected account data, and process the first exposure account data to obtain exposure indicator data; Filter the first click account data that matches the first click account level from the first exposure account data, and process the first click account data to obtain click metric data; Filter the successful conversion account data that matches the successful conversion account level from the first click account data, and process the successful conversion account data to obtain the first successful conversion indicator data; The output includes the first campaign performance data, which includes the selected account metrics data, the exposure metrics data, the click metrics data, and the first successful conversion metrics data.

3. The method according to claim 1 or 2, characterized in that, The second funnel level includes a second exposure account level and a second click account level. The step of processing the media object attribute data according to a second data processing rule matching the second funnel level to obtain the second delivery performance indicator data of the target media object within a preset time range includes: According to the instructions of the second data processing rule, the second exposure account data that matches the second exposure account level within the preset time range is filtered from the media object attribute data, and the second successful conversion index data is obtained by processing the second exposure account data. From the second exposure account data, filter out the second click account data that matches the second click account level, and process the second click account data to obtain the third successful conversion indicator data; The output includes second campaign performance data, which includes the second successful conversion index data and the third successful conversion index data.

4. The method according to claim 3, characterized in that, The description data of the delivery effect of the target media object is displayed on the media analysis results display page of the media analysis task, including: Obtain display configuration information for the second exposed account data, and determine multiple target dates within the preset time range based on the display configuration information; Filter the second and third successful conversion indicator data corresponding to the multiple target dates; The media analysis results display page of the media analysis task displays the second campaign performance data, including the filtered second successful conversion index data and the third successful conversion index data.

5. The method according to claim 1, characterized in that, The method further includes: A list of media analysis tasks is displayed on a pre-defined media analysis task management interface; the list of media analysis tasks includes multiple media analysis tasks. In response to user adjustments to the media analysis task list, the display method for multiple media analysis tasks is adjusted. In response to a user's edit operation on a target media analysis task in the media analysis task list, the task configuration information of the target media analysis task is edited.

6. The method according to claim 1, characterized in that, The process of creating a media analysis task associated with a target media object in response to a user's input for the media analysis task includes: In response to the user's creation operation for the media analysis task, obtain the media object code entered by the user and the media object type selected by the user; The target media object is determined based on the media object code and the media object type; Create a media analysis task associated with the target media object.

7. A media data processing apparatus, characterized in that, The device includes: The analysis task creation module is used to create a media analysis task associated with the target media object in response to the user's creation operation input for the media analysis task; The data acquisition module is used to collect media object attribute data associated with the target media object in real time within the activity time range associated with the target media object in response to the task status of the media analysis task being in an active state; the media object attribute data is the attribute data generated after the target media object is displayed by the media object display platform; The data processing module is used to process the media object attribute data according to a first data processing rule matching the first funnel level to obtain the first delivery effect index data of the target media object within the activity time range, and to process the media object attribute data according to a second data processing rule matching the second funnel level to obtain the second delivery effect index data of the target media object within a preset time range; the number of levels in the first funnel level is greater than that in the second funnel level; The data display module is used to display the delivery effect description data of the target media object on the media analysis result display page of the media analysis task. The delivery effect description data includes at least one of the first delivery effect indicator data and the second delivery effect indicator data.

8. The apparatus according to claim 7, characterized in that, The first funnel hierarchy includes a selected account hierarchy, a first exposure account hierarchy, a first click account hierarchy, and a successfully converted account hierarchy. The data processing module includes: The selected account indicator processing submodule is used to filter selected account data from the media object attribute data within the activity time range and matching the selected account level according to the instructions of the first data processing rules, and to process the selected account data to obtain selected account indicator data. The first exposure index processing submodule is used to filter first exposure account data that matches the first exposure account level from the selected account data, and process the first exposure account data to obtain exposure index data. The click metric processing submodule is used to filter first click account data that matches the first click account level from the first exposure account data, and process the first click account data to obtain click metric data. The first successful conversion indicator processing submodule is used to filter successful conversion account data that matches the successful conversion account level from the first click account data, and process the successful conversion account data to obtain the first successful conversion indicator data. The first campaign performance indicator output submodule is used to output the first campaign performance indicator data, which includes the selected account indicator data, the exposure indicator data, the click indicator data, and the first successful conversion indicator data.

9. The apparatus according to claim 7 or 8, characterized in that, The second funnel level includes a second exposure account level and a second click account level, and the data processing module further includes: The second successful conversion indicator processing submodule is used to filter second exposure account data that matches the second exposure account level from the media object attribute data within the preset time range, according to the instructions of the second data processing rules, and to process the second exposure account data to obtain the second successful conversion indicator data. The third successful conversion indicator processing submodule is used to filter second click account data that matches the second click account level from the second exposure account data, and process the second click account data to obtain the third successful conversion indicator data. The second campaign performance output submodule is used to output second campaign performance indicator data, which includes the second successful conversion indicator data and the third successful conversion indicator data.

10. The apparatus according to claim 9, characterized in that, The data display module includes: The target date determination submodule is used to obtain display configuration information for the second exposed account data, and determine multiple target dates within the preset time range based on the display configuration information; The date filtering submodule is used to filter the second and third successful conversion indicator data corresponding to the multiple target dates. The date-filtered data display submodule is used to display the second campaign performance data, including the filtered second successful conversion indicator data and the third successful conversion indicator data, on the media analysis results display page of the media analysis task.

11. The apparatus according to claim 7, characterized in that, The device further includes: The media analysis task list display module is used to display a media analysis task list on a preset media analysis task management interface; the media analysis task list includes multiple media analysis tasks. The task list adjustment module is used to respond to the user's adjustment operation on the media analysis task list and adjust the display method of multiple media analysis tasks. The analysis task editing module is used to edit the task configuration information of the target media analysis task in response to the user's editing operation on the target media analysis task in the media analysis task list.

12. The apparatus according to claim 7, characterized in that, The analysis task creation module includes: The target media object information acquisition submodule is used to respond to the user's creation operation for the media analysis task input, and to obtain the media object code input by the user and the media object type selected by the user; The target media object determination submodule is used to determine the target media object based on the media object code and the media object type. The analysis task creation submodule is used to create media analysis tasks associated with the target media object.

13. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

15. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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