Interpretation of Advertising Monitoring Indicators in China

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发布时间：2024-07-29   作者：

Advertising effectiveness monitoring indicators are crucial for advertisers to determine the effectiveness of advertisements and how to optimize them. The commonly used advertising monitoring indicators by Chinese advertisers mainly include four major categories: traffic indicators, interaction indicators, conversion indicators, and cost indicators.

Traffic Indicators

Ad Impressions

The total number of times an advertisement is displayed on a specific website within a designated time period. High exposure means the advertisement has a wide reach, but it is also important to avoid ineffective exposures. This indicator cannot measure whether users have actually seen the advertisement, as it can be affected by factors such as page scroll speed, which affects the visibility of the advertisement.

Unique Impressions

Unique impressions refer to the number of exposures after excluding multiple exposures by the same user, which is mainly achieved by excluding duplicate cookies.

Calculating the ratio of ad impressions to unique impressions (Impression/Unique Impression) is one of the simple ways to identify ad fraud. A high ratio indicates that some users are repeatedly visiting in large numbers, suggesting that the website may have abnormal traffic and is suspected of having machine-generated traffic.

Viewable Impressions

Viewable impressions are based on the visibility of the advertisement. The IAB (Interactive Advertising Bureau) stipulates: For PC-side image advertisements, 50% of the pixels are displayed for more than 1 second, and for PC-side video advertisements, 50% of the pixels are displayed for more than 2 seconds, which can be considered viewable impressions. Additionally, for larger ad formats, 30% of the pixels displayed for more than 1 second can be considered 1 viewable impression.

The internet advertising pricing model related to this indicator is CPMv (cost per mille viewable impression), which is the cost for a thousand viewable impressions. The new CPM selling method used by Tencent mentioned earlier is CPMv. This selling method excludes data for advertisements that have not been actually watched, which can ensure the fairness, authenticity, and effectiveness of advertising transactions to a certain extent, help advertisers improve advertising effectiveness, save advertising budgets wasted on poor media resources or content, and improve ROI, thus being welcomed by advertisers.

Clicks

Clicks are the metrics used to measure user behavior after ad exposure. Clicks are the key actions that link front-end advertisements with back-end landing pages, reflecting the audience’s interest in the advertisement. Factors affecting clicks include two aspects: first, the accuracy of ad placement, and second, the quality of ad creativity.

Click-Through Rate (CTR)

The ratio of clicks to impressions (Click/Impression), the click-through rate allows for a horizontal comparison of the effectiveness of different advertisements and is the most direct and persuasive quantitative indicator reflecting the effectiveness of online advertising. Factors affecting the click-through rate include: the number of impressions, which only becomes relatively stable after reaching a certain quantity, objectively reflecting the effectiveness of the advertisement; the accuracy of ad placement, the higher the proportion of the target consumer group reached, the higher the click-through rate; the attractiveness of ad creativity, the stronger the visual impact and the more attractive the content, the higher the click-through rate.

Page Views (PV)

Page views are a commonly used indicator for website traffic statistics. A request from the user’s end to open a page is considered one page view. Page views are one of the commonly used traffic indicators for monitoring ad landing pages. To a certain extent, they can reflect the degree to which the interests and desires of the ad audience are stimulated and can reflect a certain advertising effect.

Visits

Visits are commonly used in website traffic analysis to describe a series of user behaviors within a certain period of time or in the process of achieving a certain goal. The mainstream view is that visits refer to the number of times users visit a website.

Visits can be used for the calculation of CPV (Cost Per Visit), which is the cost per visit. In practical applications, it is rarely used as a billing method in settlements between media and advertisers, but rather as an indicator for advertisers to measure the ROI of marketing activities.

Unique Visitors (UV)

Unique visitors are used to measure the number of website visitors. According to the “China Mobile Internet Advertising Standards,” a device visiting a website within a specified time period is counted as one visitor, and the same device will only be counted once within the specified time period.

Compared with other traffic indicators, unique visitors are centered on a user as a measure, which can help advertisers more accurately identify the audience affected by advertising activities, and can also be used to identify simple traffic fraud. Unique visitors can be used for CPUV (Cost Per Unique Visitor), which is the cost per unique visitor. However, like CPV, it is often not used as a billing method in advertising transactions between advertisers and media, but rather as an ROI indicator set by advertisers according to the goals of the advertising campaign.

Interaction Indicators

Traffic indicators describe the arrival of users for advertisements and landing pages, while interaction indicators describe the depth of user participation. Compared with traffic indicators, the standardization of interaction indicators is relatively low.

Bounce Rate

Bounce rate refers to the ratio of users who, after clicking on an advertisement and entering the advertiser’s promoted page, do not generate further clicks and choose to leave directly. In internet marketing, the bounce rate can be used to measure the quality of external traffic and the attractiveness of website content to the audience. The higher the quality of external traffic and the more accurate the front-end advertising, the more target users can be attracted, and the lower the bounce rate of users after entering the website.

2nd-Click Rate

When a first-level website page is clicked and opened, any additional clicks generated by the user on the page are called “2nd-clicks,” and the number of 2nd-clicks is referred to as “2nd-click volume.” The ratio of “2nd-click volume” to page views is called the page’s “2nd-click rate.”

Visit Depth (PV/V)

Visit depth (PV/V) is an average number, referring to the number of times a specific web page is exposed to a visitor during a single visit, calculated as page views divided by visits. The higher the visit depth, the more pages a visitor browses in one visit, the more information they get, and the greater the value of these visits to advertisers.

Visit Duration

Visit duration (Time on Site) is also an average number, a measure of the length of visits, specifically the average time spent per visit, calculated as total visit time divided by visits. Theoretically, the longer the visit duration, the better the interactive effect of the advertisement.

Conversion Indicators

Conversion indicators are the most valuable category of indicators for businesses as they directly reflect the benefits that advertising activities bring to the enterprise, and thus are increasingly valued by advertisers.

Photo by Oliur on Unsplash

Conversion rate refers to the ratio of the number of times users complete specific actions (such as purchases, registrations, etc.) to the number of clicks, and is a key indicator for evaluating the effectiveness of advertisements. Specific actions for conversion include:

Sales-related conversion indicators

Offline: The number of store visits

Online: The number of orders placed and purchases completed

App-related conversion indicators

Downloads

Active users

Registrations Users

Retention

In-app purchases

Cost Indicators

Cost Per Thousand Impressions (CPM)

Refers to the cost per thousand impressions when advertising is placed, reflecting the cost of advertising placement.

Cost Per Click (CPC)

Refers to the cost per click when advertising is placed, reflecting the cost of advertising placement.

Cost Per Conversion (CPA)

Refers to the cost per conversion action when advertising is placed, reflecting the cost of advertising placement.

Advertising Monitoring Fields

The following are fields involved in the advertising monitoring process in China, covering data from multiple aspects such as users, devices, advertising activities, geographic locations, and network environments. Through the analysis of these data, advertisers can comprehensively understand the display, click-through, and conversion effects of advertisements, optimize advertising placement strategies, and improve the ROI (Return on Investment) of advertisements.

In the area of advertising monitoring, some fields may be more commonly seen in the Chinese internet environment, mainly due to China’s unique advertising technology standards, device identifiers, and certain characteristics of some application markets:

oaid: Open Advertising Identifier, a device identifier introduced by Chinese device manufacturers to replace traditional identifiers and enhance privacy protection.

android_id: In China, many devices and advertising networks rely on this identifier.

open_udid: Open Unique Device Identifier, which is quite common on some Chinese advertising platforms and applications.

mac_md5: Although used globally, in the Chinese market, this field is often used for device identification.

imei, imei_md5, imei_sha1: IMEI is globally universal, but in China, especially in early advertising monitoring, it is common to see the use of IMEI and its encrypted forms.

idfa, idfa_md5, idfa_sha1: Although IDFA is a global standard for Apple devices, it is also frequently used in iOS advertising tracking in China.

ad_timestamp: The timestamp of the advertising event, universally used globally, but the format and specific implementation may vary by region.

app_package: The application package name, used to identify applications in China’s unique app markets.

app_name: The application name, which often appears in Chinese advertising monitoring to identify specific applications.

province_id, city_id, county_id: These geographical location identifiers are especially common in Chinese advertising monitoring, used for fine-grained regional analysis.

bizdate, bizhour: Fields used for statistics by date and hour, frequently used in Chinese advertising reports and analysis.

adzone_id, adzone_type: The type and ID of the advertising space, these fields are very common on Chinese advertising platforms for ad space management and analysis.

How to Read Advertising Monitoring Reports

Compare Data

Compare data from different time periods, platforms, and ad formats to identify areas of excellent performance and areas that need improvement.

Pay Attention to Trends

Observe the trends in data changes to predict future development trends, providing a basis for adjusting advertising strategies.

Deep Dive

For data that performs poorly, delve deeper into the underlying reasons, such as whether the advertising content, target audience, and placement platform are appropriate.

How to Use Advertising Monitoring Data to Optimize Advertising Strategies

Adjust Advertising Content

Based on user feedback and data analysis, optimize advertising copy, images, videos, and other elements to improve the attractiveness and conversion rate of advertisements.

Precisely Target the Audience

Understand the interests, needs, and behavioral habits of the target audience through data analysis to formulate more precise advertising placement strategies.

Optimize Placement Platforms and Timing

Choose more suitable advertisingplatforms and time slots based on data performance to increase the exposure and click-through rate of advertisements.

Control Advertising Budget

Allocate the advertising budget reasonably according to ROI and advertising effects to ensure the maximization of the input-output ratio.

Advertising monitoring reports are not only a set of data reports but also a valuable marketing guide. By deeply analyzing advertising monitoring data, we can better understand the performance of advertising activities, identify optimization space, and enhance advertising effectiveness.

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