How to click through rate query? Super detailed online query tutorial sharing

in the field of content operation, e-commerce promotion or search engine optimization, click through rate is the core indicator to measure content drainage ability and user interest. Accurately grasping click through rate data can help operators adjust strategies and improve content exposure and conversion efficiency. However, many novices are confused about the operation process, data interpretation and optimization direction of click through rate query. This article will share the super practical click through rate query whole process skills from multiple dimensions such as mainstream platform operation, data interpretation, and common problem investigation to help everyone easily obtain and use click through rate data.

1. How to operate the mainstream platform click through rate query?

the click through rate query entrance and operation logic in different scenarios are slightly different. The following are the three mainstream scenarios of content operation, e-commerce and search engines.

1, self-media platform click through rate query

take the headline number and WeChat official account as an example, the headline number needs to log in to the creator background, enter the content management section, find the published content list, click the data button next to the single content, you can view the click through rate, reading completion rate and other core data on the content analysis page; WeChat official account needs to log in to the public platform, enter the graphic analysis or video analysis section, select the corresponding time period, you can get the click through rate data of a single content or the overall account, and some platforms also support export data for batch analysis.

2, e-commerce platform click through rate inquiry

Taobao, JD.com and other e-commerce platform click through rate query need to enter the background of the merchant, Taobao can be through the business staff tool, click on the flow of goods in the section of the source option, view a single product search click through rate, click through rate recommended data; JD.com can be through the business intelligence background of the traffic analysis module, get the goods in the search, home page recommendation channels click through rate data, some platforms also support custom time cycle comparison of different stages of click through rate change.

3, search engine advertising click through rate query

Baidu promotion, Douyin Ocean Engine and other ad platform click through rate query, you need to log in to the advertising background, enter the data report section, select the corresponding advertising plan or creative, you can view the click through rate, exposure, click through rate and other data of a single advertisement, some platforms also support by region, time, user portrait and other dimensions to filter click through rate data to help operators accurately locate high conversion groups.

2. How to interpret the data after clicking through rate query?

completion of the click through rate query, accurate interpretation of data is the key to the use of data optimization strategies, combined with industry average, content type and other dimensions of comprehensive analysis.

1, compare the industry average to judge the advantages and disadvantages of data

there are differences in the average click through rate of different industries and content types. For example, the average click through rate of the entertainment content industry in the self-media field is about 3% -5%, and the technology content is about 2% -3%. The average click through rate of the search for apparel products in the e-commerce field is about 2% -4%, and the home appliance category is about 1% -2%. After completing the click through rate query, compare your own data with the industry average. If it is lower than the average, you need to adjust the content or promotion strategy. If it is higher than the average, you can copy the successful experience.

2, split data dimension location problem root

single click through rate data can not fully reflect the problem, the need to split the data dimension in-depth analysis, such as in the self-media platform, can split the time dimension of click through rate, view the click through rate changes at different times, to determine the peak user activity; in the e-commerce platform, can split the click through rate channel dimension, view the search, recommendation, live broadcast and other channels click through rate difference, positioning high conversion channels and increase investment.

3, click through rate query common problem how to troubleshoot?

many operators in the click through rate query process will encounter data abnormalities, data loss and other issues, timely investigation can ensure the accuracy of data and reference value.

1, click through rate data abnormal fluctuation investigation

if the click through rate query finds that the data fluctuates greatly, it is necessary to check whether there are external factors such as platform algorithm adjustment and content violation limit viewership of, and then check whether the content title and cover have been modified, or whether the promotion resources have been placed. For example, self-media content suddenly click through rate soared, which may have entered the platform recommendation pool. If the click through rate plummeted, it may be that the title cover violation was restricted exposure.

2, click through rate missing or delayed

there is a delay in the click through rate data of some platforms. Generally, the update is completed within 24-48 hours after the content is released. If the data is not displayed after the time, it is necessary to check whether the content has not passed the review, the account authority is insufficient or the platform system is faulty. You can try to refresh the page, log in to the account again, or contact the platform customer service to consult the specific reasons to avoid the lack of data affecting the strategy adjustment.

4. How to optimize the operation strategy through click through rate query?

click through rate query is to optimize the operation strategy through data, improve the efficiency of content drainage and conversion, and share the specific optimization direction below.

1 Optimize content title cover based on click through rate

after completing the click through rate query, if it is found that the content click through rate is lower than the industry average, the title and cover can be optimized first, such as in the field of self-media, the title can be added to the user pain point words, digital words to enhance the attractiveness, the cover can choose high definition, There is a sense of conflict in the picture; in the field of e-commerce, the title can be added to the precise keywords to improve search exposure, the cover can highlight the core selling points and preferential information of the product, and the verification effect is verified through the click through rate query again after optimization.

2 Adjust the promotion quota based on click through rate

in the advertising promotion scene, after completing the click through rate query, the promotion resources will be tilted to the high click through rate advertising creativity and media buy channel, and the low click through rate advertising plan will be suspended or optimized. For example, in Douyin Ocean Engine, if the click through rate of a video advertisement is much higher than other ideas, the creative budget can be increased, and the content characteristics can be analyzed to copy the successful logic to create new advertising ideas.

To sum up, click through rate query is the core link in content operation and promotion work. From the operation process of the mainstream platform, to data interpretation, problem investigation, and strategy optimization, each link affects the efficiency of data application. By mastering the standardized click through rate query operation, accurately interpreting the data and optimizing the strategy in time, it can effectively improve the drainage ability and conversion efficiency of the content, and help the operator to occupy the advantage in the fierce competition.