Method for observing native advertisement based on Internet technology

Abstract

The invention provides a native advertisement observation method based on the Internet technology, and relates to the technical field of native advertisement observation methods, and the method comprises the following steps: 1, carrying out the analysis of a delivery platform, and selecting a video platform and a text reading platform in the selection of an advertisement delivery platform. Through careful analysis of delivery channels, advertisement display conditions of different platforms and different positions and behavior habits of users on the channels are understood, content features are deeply mined, effects in the aspects of advertisement originality and information transmission and analysis of user behaviors can be informed, and the user experience is improved from the perspective of users. The real response and interaction condition of the advertisers to the advertisement are displayed, the analysis of the technical means is the technical support and optimization direction after advertisement putting, the actual effect of the advertisement can be evaluated more accurately by integrating the data and the analysis result, and powerful decision support is provided for the advertisers and the platform side.

Description

Technical Field

[0001] The present invention relates to the technical field of observation methods for native advertisements, and particularly to an observation method for native advertisements based on Internet technology. Background Art

[0002] With the development of the Internet, native advertisements, as a new form of advertisement, have emerged as the times require. Native advertisements integrate the form of content and advertisement, and are deeply integrated with the content of the platform where they are located, providing users with a more personalized and relevant advertising experience. Due to their lower user interference and higher user acceptance, they have gradually become an important part of the advertising industry.

[0003] At present, there are still some deficiencies in the observation methods for native advertisements. On the one hand, most of the existing observation methods focus on the advertising delivery effect, such as click-through rate and conversion rate indicators, and the observation of the native nature of the advertisement, content quality, and the impact on users is not comprehensive and in-depth enough. On the other hand, the accuracy and real-time performance of data collection are poor, unable to meet the rapid response needs of advertisers for dynamic market changes. This leads to advertisers lacking a scientific basis in adjusting advertising strategies and allocating resources, seriously affecting the efficiency and effect of advertising delivery. Therefore, a new observation method is needed to more accurately evaluate the effect of native advertisements and provide more valuable references for advertisers and platform parties.

[0004] The present invention aims to provide a comprehensive, accurate, and real-time observation method for native advertisements based on Internet technology. By means of innovative data collection and analysis, it makes up for the defects of existing observation methods, provides detailed and accurate advertising effect data for advertisers and platforms, and helps them formulate more effective advertising strategies. Summary of the Invention

[0005] To achieve the above object, the present invention proposes an observation method for native advertisements based on Internet technology, including the following steps:

[0006] Step 1: Analysis of the delivery platform

[0007] Select an advertising delivery platform, considering video platforms and text reading platforms. Video platforms cover Douyin, iQIYI long and short video websites or applications, and text reading platforms include Weibo, Toutiao information reading websites or applications;

[0008] Pay attention to the position of the native advertisement in the information stream and the specific display form presented; compare the native advertisement with the content published by the user's followed accounts; check whether the native advertisement has a clear and distinct advertisement logo; analyze the interaction of the advertisement;

[0009] Step 2: Analysis of content features

[0010] In the content feature analysis stage, the native advertisement is deeply analyzed from three dimensions: relevance, value, and style consistency, ensuring that the native advertisement is deeply integrated with the content of the placement platform, avoiding discomfort for users during viewing, and enabling users to have the same experience as when browsing regular content on the platform when watching native advertisements;

[0011] Relevance analysis aims to examine the degree of association between the content of the native advertisement and the theme of the page or application where it is located. Value analysis mainly assesses the ability of the native advertisement content to provide valuable information to users. Style consistency analysis involves comparing the native advertisement with the platform content;

[0012] Step 3: User behavior data monitoring

[0013] When using behavior data to monitor native advertisements, it is necessary to focus on monitoring their click-through rate and conversion rate on the platform, and analyze the user's stay time and browsing depth. In addition, set up a user feedback and comment area under the native advertisement to deeply analyze user feedback and comments and obtain valuable information;

[0014] The analysis of the click-through rate and conversion rate of native advertisements relies on the data analysis tools provided by the advertisement placement platform to view and count the data on the click-through rate and conversion rate of native advertisements. The analysis of the stay time and browsing depth is a quantitative analysis of the stay duration and browsing depth of users on the native advertisement page;

[0015] Step 4: Technical means analysis

[0016] Technical means analysis includes advertisement placement technology analysis and data tracking and analysis technology analysis. Data tracking and analysis technology analysis is to observe whether advertisers use advanced data tracking and analysis technologies.

[0017] In one example, in step 1, video platforms are divided into long-video platforms and short-video platforms according to the content duration. Long-video content usually lasts from several minutes to dozens of minutes and can attract viewers to stay and watch for a long time; short videos are characterized by rapid updates, with short viewer stay times, generally fluctuating in the range of zero to dozens of seconds. Text reading platforms are divided into social media types and information news types.

[0018] In one example, in step 1, on social media platforms such as Weibo, WeChat, and Douyin, the following dimensions of observation and analysis are carried out for native advertisements: First, pay attention to the position of the native advertisement in the information stream and the specific display form presented; Second, compare the native advertisement with the content posted by the user's followed accounts to judge the similarity between the two; Third, check whether the native advertisement has a clear and distinct advertisement logo; Fourth, analyze the quantity statistics of likes, comments, and forwards of the advertisement, and deeply analyze the relevant comment and forward content.

[0019] In one example, in the first step, on Baidu and Google text reading search engine platforms, it is necessary to check the presentation form of native ads on the search result page and the sidebar, deeply analyze the relevance between the ad title, description and the user's search keywords, and at the same time evaluate the consistency between the content of the website pointed to by the link and the search content. In addition, use the ad identification provided by the search engine to accurately identify native ads. On Toutiao and Tencent News text reading platforms, focus on analyzing whether the native ad title has news attributes and whether the content is consistent with the news style in terms of key elements such as time, place, and event. At the same time, closely monitor whether the native ad misleads users.

[0020] In one example, in the second step, for the relevance analysis, judge whether it fits the platform theme. Taking a food platform as an example, the ad content on it should be related to the fields of food, restaurants, and cooking. The value analysis mainly focuses on whether these values can effectively solve user needs, or impart knowledge to users, provide entertainment. For health and wellness ads, it is necessary to consider whether they provide healthy tips, diet suggestions and other content beneficial to users. The style consistency analysis is to compare the native ad with the platform content in terms of visual style, language style and tone, specifically covering elements such as font, color, picture style, and copywriting expression method, to ensure that the ad style is highly consistent with the platform content and avoid giving users a sense of abruptness. In the content feature analysis part, a scoring model is introduced to evaluate the relevance, value and style consistency of native ads. The formula is as follows:

[0021] CES = W1×R + W2×V + W3×S

[0022] In the formula, R represents relevance, V represents value, S represents style consistency, and W represents the weight coefficient, which is adjusted according to actual needs.

[0023] In one example, in the third step, for the click-through rate and conversion rate analysis work, accurately judge the attractiveness of the ad title and thumbnail to the audience through the high or low click-through rate; with the help of conversion rate data, deeply analyze the effectiveness of the landing page and the product or service in attracting users to take actual actions. In the user behavior data monitoring part, a comprehensive scoring model is introduced to evaluate the effect of native ads. The model combines factors such as click-through rate, conversion rate, stay time and browsing depth to calculate the comprehensive effect score of the ad. The formula is as follows:

[0024] CES = W1×CTR + W2×CVR + W3×DW + W4×DP

[0025] In the formula, CTR represents the click-through rate, CVR represents the conversion rate, DW represents the stay time, DP represents the browsing depth, and W represents the weight coefficient, which is adjusted according to actual needs.

[0026] In one example, in the third step, the dwell time and browsing depth are analyzed to judge the degree of user interest in the advertisement content. Generally, a longer dwell time and a deeper browsing depth mean that the user has a higher degree of attention and interest in the advertisement content. For the user feedback and comment analysis, it is to comprehensively collect the feedback and comment information given by users for the native advertisement. The collection channels cover the comment area below the advertisement, relevant discussions on social media platforms, and user opinions received through the customer service channel. By sorting out and studying these feedback contents, we can deeply understand the user's preference or dislike for the advertisement, and at the same time accurately grasp the improvement suggestions put forward by users, providing a strong basis for advertisement optimization.

[0027] In one example, in the fourth step, the advertisement placement technology analysis is to understand the placement technology adopted by the native advertisement, such as programmatic buying and precise targeting technology, and evaluate its impact on the advertisement placement effect and potential.

[0028] In one example, in the fourth step, the data tracking and analysis technology observes whether the advertiser uses data tracking and analysis technologies such as pixel tracking and Cookie tracking, and whether the advertisement placement platform provides detailed data analysis reports and visualization tools to help the advertiser better understand the data and optimize the advertisement strategy.

[0029] The observation method of native advertisement based on Internet technology proposed by the present invention can bring the following beneficial effects:

[0030] 1. The observation method proposed by the present invention, through the careful analysis of the placement channels, understands the advertisement display situations on different platforms and at different positions, the user behavior habits on these channels, deeply excavates the content features, can insight into the effects in terms of advertisement creativity and information transmission. The analysis of user behavior, from the perspective of users, shows their real reactions and interaction situations to the advertisement. The analysis of technical means is the technical support and optimization direction behind the advertisement placement. By integrating these data and analysis results, the actual effect of the advertisement can be evaluated more accurately, providing strong decision-making support for advertisers and platform parties.

[0031] 2. The present invention recognizes the uniqueness and complexity of native advertisements. When evaluating its effects, it not only focuses on the surface display and click data, but also deeply considers multiple dimensions of the advertisement. Native nature is the characteristic of native advertisements, which determines whether the advertisement can be naturally integrated into the user's browsing environment and avoid giving users a sudden feeling. Content quality is an important indicator to measure the attractiveness and information value of advertisements. High-quality native advertisements can more effectively attract users' attention and convey advertisement information. By comprehensively considering these aspects, the value of native advertisements can be evaluated more precisely, providing more reliable and comprehensive reference information for advertisers and platform parties to help them make more informed decisions.

[0032] 3. The observation method provided by the present invention has real-time performance and practicality. According to the observation results, advertisers and platform providers can quickly obtain the changing trends and existing problems of advertising effects. Based on these observations, they can timely adjust advertising strategies, optimize the selection of delivery channels, improve the design of advertising content, and adjust the algorithms for targeted delivery. These adjustments can improve the advertising effects, enhance users' experience and satisfaction. When users see advertisements that better suit their interests and needs, they are more likely to have positive reactions and actions. In this way, advertisers and platform providers can achieve better advertising benefits, including higher conversion rates, lower costs, and better brand reputations. The virtuous cycle will promote the healthy development of the advertising industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The drawings described herein are used to provide a further understanding of the present invention and form a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0034] Figure 1 It is a schematic flow chart of the steps of an observation method for native advertisements based on Internet technology according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "axial", "radial", "circumferential", etc. are based on the orientation or positional relationships shown in the drawings, and are 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 to the present invention.

[0036] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, "a plurality" means two or more unless otherwise specifically defined.

[0037] In the present invention, unless otherwise clearly specified or limited, the terms "installed", "connected", "connected to", "fixed", etc. shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection, an electrical connection, or a communication connection; it may be directly connected, or indirectly connected through an intermediate medium, and may be the communication inside two elements or the interaction relationship between 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.

[0038] In the present invention, unless otherwise clearly specified or limited, the first feature being "on" or "under" the second feature may be that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. In the description of this specification, the description of reference terms such as "one solution", "some solutions", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the solution or example are included in at least one solution or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same solution or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more solutions or examples.

[0039] In order to more clearly and completely illustrate the technical solution of the present invention, the present invention will be further described below with reference to the accompanying drawings.

[0040] Please refer to Figure 1 , the present invention provides an observation method for native advertisements based on Internet technology. On social media platforms, it is necessary to carefully study the performance of native advertisements in the Weibo, WeChat, and Douyin information flows, which includes paying attention to the specific forms of advertisement display, whether they are similar to the content published by users' daily concerns, whether they carry clear advertisement identifiers, and at the same time, closely monitoring the interaction data of the advertisements, such as the number of likes, comments, and forwards, as well as the content of these interactions, in order to better understand users' reactions to the advertisements.

[0041] In terms of search engines, it is necessary to check the presentation methods of native advertisements on the search result pages and sidebars of Baidu and Google search engines, analyze the matching degree between the titles and descriptions of the advertisements and the user's search keywords, and whether the content of the website pointed to by the link is consistent with the search content. In addition, it is also necessary to accurately identify native advertisements through the advertisement identifiers provided by the search engines.

[0042] For news and information websites and applications, it is necessary to analyze whether the titles of native advertisements are newsworthy and whether the content is consistent with the news and information style, including time, place, and key elements of events. At the same time, it is also necessary to be vigilant against situations that mislead users.

[0043] In terms of content feature analysis, the first thing to do is to check the relevance of the native advertising content to the theme of the page or application where it is located, and determine whether it is consistent with the theme of the platform. On food platforms, advertisements should be related to food, restaurants, and cooking.

[0044] Evaluate whether native advertising content provides valuable information to users, including whether it can solve user needs, provide knowledge or entertainment. On health and wellness platforms, ads should provide health tips and dietary recommendations.

[0045] Compare the visual style, language style, and tone of native ads with those of platform content to ensure that the ad style is consistent with the platform content. This includes consistency checks on fonts, colors, image styles, and copywriting.

[0046] In terms of user behavior data monitoring, the first thing to do is to use the data analysis tools provided by the advertising platform to view the click-through rate and conversion rate of native ads. The click-through rate reflects the attractiveness of the ad title and thumbnail, while the conversion rate can reveal the attractiveness of the landing page and product or service.

[0047] Analyze the user's dwell time and browsing depth on native ads. Longer dwell time and deeper browsing depth usually indicate that the user is more interested in the advertising content.

[0048] Finally, collect and analyze user feedback and comments on native ads. This includes user feedback in the comment section below the ad, on social media, and in customer service channels. Through these feedbacks, we can understand users’ likes and dislikes of the ads, as well as their suggestions for improvement.

[0049] In terms of technical analysis, we must first understand the delivery technologies used by native advertising, such as programmatic buying and precise targeting technology, and evaluate the impact of these technologies on the effectiveness and potential of advertising.

[0050] Observe whether advertisers use advanced data tracking and analysis technologies, such as pixel tracking and cookie tracking. At the same time, we also need to check whether the advertising platform provides detailed data analysis reports and visualization tools so that advertisers can better understand the data and optimize advertising strategies.

[0051] Example 1: Application on social media platforms

[0052] We chose to observe native advertising on Weibo. First, we paid attention to a native advertisement released by a well-known brand. The advertisement appeared in the information flow in the form of pictures and texts. It was similar to the life content released by the accounts followed by the user and had a clear "advertisement" logo.

[0053] Analyze the advertising content and find that it is a promotion of a new smart home product, which is related to the theme of the lifestyle platform. The advertisement details the product's functions and advantages, and also provides user reviews and usage cases, having certain value.

[0054] Through the data analysis tool provided by the Weibo platform, it is found that the click-through rate of this advertisement is 2.5 and the conversion rate is 1.5. At the same time, it is observed that the average stay time of users on the advertisement is 6 seconds, with a relatively shallow browsing depth.

[0055] Collect the feedback and comments of users on this advertisement and find that most users are interested in the advertised product, but some users also indicate that the image loading speed of the advertisement is relatively slow.

[0056] Analyze the programmatic buying technology used by this brand in advertising placement and find that it can accurately target according to users' interests, improving the advertising placement effect, as shown below.

[0057]

[0058]

[0059] Example 2: Application on the search engine

[0060] Observe the native advertisement on the Baidu search result page. When users search for "travel guide", a native advertisement from a certain travel website appears. Its title contains "Travel Guide Recommendations", the description is highly relevant to the search keywords, and the website linked also provides rich travel guide content.

[0061] Analyze the content characteristics of this advertisement and find that it has strong relevance and value, and its style is consistent with the simple and clear style of the search result page.

[0062] Check that the click-through rate of this advertisement is 3.5, the conversion rate is 2.2, the average stay time of users on the advertisement is 9 seconds, with a relatively deep browsing depth. Some users also click on the link to enter the travel website to view more information, and no obvious negative feedback from users on this advertisement is found.

[0063] Learn that this travel website uses search engine optimization technology in advertising placement, improving the advertisement's ranking in the search result page and increasing the advertisement's exposure rate, as shown below.

[0064]

[0065] In summary, the observation method for native advertisements based on Internet technology provided by the present invention can comprehensively and accurately observe the effects of native advertisements through multi-dimensional analysis, providing valuable references for advertisers and platform parties, helping to optimize the placement strategies of native advertisements, and improving the advertising effects and user experiences.

[0066] Certainly, the present invention can also have many other implementation manners. Based on this implementation manner, other implementation manners obtained by ordinary technicians in this field without any creative labor fall within the scope protected by the present invention.

Claims

1. A method for observing native advertisements based on Internet technology, characterized in that: The following steps are involved: Step 1: Analysis of delivery platforms When choosing an advertising platform, consider video platforms and text reading platforms. Video platforms include Douyin, iQiyi, long and short video websites or apps, while text reading platforms include Weibo, Toutiao, news and reading websites or apps; Pay attention to the position of native ads in the information flow and the specific display form; compare native ads with the content posted by the accounts that users follow; check whether native ads have clear and unambiguous advertising logos; analyze the interaction of ads; Step 2: Content feature analysis In the content feature analysis phase, we conduct an in-depth analysis of native ads from three dimensions: relevance, value, and style consistency. This ensures that native ads are deeply integrated with the content of the delivery platform to avoid causing viewing discomfort to users. This allows users to have the same experience when watching native ads as when browsing regular content on the platform. Relevance analysis aims to examine the degree of relevance between native advertising content and the page or app theme it is on. Value analysis mainly evaluates the ability of native advertising content to provide valuable information to users. Style consistency analysis compares native advertising with platform content. Step 3: User behavior data monitoring When using behavioral data to monitor native ads, it is necessary to focus on monitoring their click-through rate and conversion rate on the platform, and analyze the user's stay time and browsing depth. In addition, set up a user feedback and comment area below the native ads to conduct in-depth analysis of user feedback and comments to obtain valuable information; The analysis of the click-through rate and conversion rate of native ads relies on the data analysis tools provided by the advertising delivery platform to conduct data viewing and statistics on the click-through rate and conversion rate of native ads. The analysis of dwell time and browsing depth is to conduct quantitative analysis on the dwell time and browsing depth of users on the native ad page; Step 4: Technical analysis Technical means analysis includes advertising technology analysis and data tracking and analysis technology analysis. Data tracking and analysis technology analysis is to observe whether advertisers use advanced data tracking and analysis technology.

2. The method for observing native advertisements based on Internet technology according to claim 1, characterized in that: In the step 1, video platforms are divided into long video platforms and short video platforms according to the length of the content. Long video content usually lasts from several minutes to tens of minutes, which can attract viewers to stay and watch for a long time; short videos are characterized by rapid updates, and the audience stays for a short time, roughly fluctuating between zero and tens of seconds. Text reading platforms are divided into social media and news information.

3. The method for observing native advertisements based on Internet technology according to claim 1, characterized in that: In the step 1, the following dimensions are observed and analyzed for native ads on Weibo, WeChat, and TikTok social media platforms: first, the position of native ads in the information flow and the specific display form presented; second, the native ads are compared with the content posted by the user's follow account to determine the similarity between the two; Third, check whether the native ads have clear and unambiguous advertising logos; Fourth, analyze the number of likes, comments, and reposts of the advertisements, and conduct in-depth analysis of the relevant comments and reposts.

4. The method for observing native advertisements based on Internet technology according to claim 1, characterized in that: In the step 1, on the text reading search engine platforms of Baidu and Google, it is necessary to check the presentation form of native advertisements on the search results page and the sidebar, conduct an in-depth analysis of the relevance of the advertisement title and description with the user's search keywords, and evaluate the degree of consistency between the content of the website pointed to by the link and the search content. In addition, with the help of the advertisement logo provided by the search engine to accurately identify native advertisements, on the text reading platforms of Toutiao and Tencent News, focus on analyzing whether the title of the native advertisement has news attributes, and whether the content is consistent with the news information style in terms of time, place, and key elements of the event. At the same time, pay close attention to whether the native advertisements mislead users.

5. The method for observing native advertisements based on Internet technology according to claim 1, characterized in that: In the step 2, relevance analysis is used to determine whether it is consistent with the platform theme. Taking the food platform as an example, the advertising content on it should be related to food, restaurants, and cooking. The value analysis mainly reflects whether these values ​​can effectively solve user needs, or impart knowledge and provide entertainment to users. For health and wellness advertisements, it is necessary to consider whether they provide health tips and dietary suggestions that are beneficial to users. Style consistency analysis is to compare native ads with platform content in terms of visual style, language style, and tone, specifically covering fonts, colors, picture styles, and copywriting expression elements to ensure that the advertising style is highly consistent with the platform content to avoid bringing a sense of abruptness to users. In the content feature analysis part, a scoring model is introduced to evaluate the relevance, value, and style consistency of native ads. The formula is as follows: CES=W1×R+W2×V+W3×S In the formula, R represents relevance, V represents value, S represents style consistency, and W represents the weight coefficient, which can be adjusted according to actual needs.

6. The method for observing native advertisements based on Internet technology according to claim 1, characterized in that: In the step three, the click-through rate and conversion rate analysis work accurately determines the attractiveness of the ad title and thumbnail to the audience through the click-through rate; with the help of conversion rate data, the landing page and the effectiveness of the product or service in attracting users to take actual actions are deeply analyzed. In the user behavior data monitoring part, a comprehensive scoring model is introduced to evaluate the effect of native advertising. The model combines the click-through rate, conversion rate, dwell time and browsing depth factors to calculate the comprehensive effect score of the advertisement. In the step three, the click-through rate and conversion rate analysis work accurately determines the attractiveness of the ad title and thumbnail to the audience through the click-through rate; with the help of conversion rate data, the landing page and the effectiveness of the product or service in attracting users to take actual actions are deeply analyzed. In the user behavior data monitoring part, a comprehensive scoring model is introduced to evaluate the effect of native advertising. The model combines the click-through rate, conversion rate, dwell time and browsing depth factors to calculate the comprehensive effect score of the advertisement. The formula is as follows: CES=W1×CTR+W2×CVR+W3×DW+W4×DP In the formula, CTR stands for click-through rate, CVR stands for conversion rate, DW stands for dwell time, DP stands for browsing depth, and W stands for weight coefficient, which can be adjusted according to actual needs.

7. The method for observing native advertisements based on Internet technology according to claim 1, characterized in that: In step three, the dwell time and browsing depth analysis are used to determine the user's interest in the advertising content. Generally speaking, a longer dwell time and a deeper browsing depth mean that the user has a higher degree of attention and interest in the advertising content. User feedback and comment analysis is to comprehensively collect feedback and comment information given by users on native advertising. The collection channels include the comment area below the advertisement, related discussions on social media platforms, and user opinions received by customer service channels. By sorting out and studying these feedback contents, we can deeply understand the user's like or dislike tendency for advertising, and accurately grasp the improvement suggestions put forward by users, providing a strong basis for advertising optimization.

8. The method for observing native advertisements based on Internet technology according to claim 1, characterized in that: In step 4, the advertising technology analysis is to understand the delivery technology used by native advertising, programmatic buying, and precise positioning technology, and evaluate their impact on the effectiveness and potential of advertising.

9. The method for observing native advertisements based on Internet technology according to claim 1, characterized in that: In step 4, data tracking and analysis technology observes whether advertisers use pixel tracking, cookie tracking, data tracking and analysis technology, and whether the advertising platform provides detailed data analysis reports and visualization tools to help advertisers better understand data and optimize advertising strategies.

Images