When cleaning Line customer data, how to filter users who have not logged in for a long time

in useWhen Line does customer contact or private domain operations, data quality often determines the overall effect. Many people will find that they obviously have a batch of Line numbers in their hands, but the add approval rate is low, the message replies are few, and there is even no feedback after sending a large number. The problem does not lie in the channels or words, but in the data mixed with a large number of users who have not logged in for a long time.

Although these accounts exist on the surface, they are actually no longer active. If they are not cleaned in advance, they will seriously affect the overall conversion efficiency. Therefore, when usingBefore Line data, filtering users who have not logged in for a long time is a basic step that must be done.

1. WhyLine data cleaning is a key link

Line accounts do not have the ability to directly determine whether they are valid like email, nor do they have obvious online status indicators like some platforms. Therefore, without filtering, it is difficult to intuitively determine which users can still be reached.

In actual data, there are several typical situations. Some users have stopped using itLine, but the account still exists; some users occasionally log in, but basically do not participate in the interaction; and some are real active users, which are the most valuable target groups.

If users in these different statuses are mixed together, it will lead to a low add success rate, ignored messages, and a decrease in overall conversions. Therefore, the core purpose of data cleaning is toUsers that "exist but are invalid" are eliminated.

2. What are the common characteristics of users who have not logged in for a long time?

AlthoughLine does not directly mark the login time, but it can determine the account status through some indirect features.

For example, although some numbers are activatedLine, but there has been no interaction for a long time. Such accounts are usually low-active or even silent users. In addition, if an account does not receive any feedback in multiple contacts, it can also be regarded as a low-value user.

There is also a situation where there are abnormalities in the account, such as incomplete binding information or abnormal status. Such accounts have no actual use value.

Through these characteristics, a preliminary judgment can be made on the data and obviously invalid users can be screened out.

3. Comparison of common data cleaning methods

In actual operation, there are three main common cleaning methods.

The first is manual testing, such as adding friends one by one or sending messages, and judging the user status through feedback. Although this method is intuitive, it is extremely inefficient and not suitable for batch data.

The second is to filter through simple rules, such as deleting duplicate data, abnormal numbers, etc. This method can improve some quality, but it cannot solve the activity problem.

The third method is to detect through technical means, such as determining whether the number is activated.Line, whether it has active characteristics. This method is the most efficient and is also the current mainstream practice.

In contrast, only the third method can truly batch filter users who have not logged in for a long time.

4. How to identify"Fake active" account

In data screening, there is another issue that is easily overlooked, which is"Fake active". Although some accounts have certain traces of use, they do not have real interactive value.

For example, some accounts may log in only occasionally but rarely participate in chats or interactions. Such users perform close to ineffective users in actual marketing. If you only perform basic screening, it is easy to retain such accounts as valid data.

Therefore, during the screening process, it is necessary to combine multi-dimensional judgments instead of relying only on a single indicator, so as to further improve data quality.

5. An efficient method to batch filter users who have not logged in for a long time

If the amount of data is large, manual processing is obviously not feasible, and batch screening must be relied on.

You can first do this on the numberLine activates detection to eliminate unregistered accounts, and then combines activity filtering to filter out users who have not been used for a long time. Through these two steps, the proportion of invalid data can be greatly reduced.

In practical applications, digital planets can be used toLine numbers perform activation status detection and activity screening, and support batch processing, turning data cleaning from the original manual operation into an efficient automatic process.

6. What changes will the cleaned data bring?

After the data is cleaned, the most intuitive change is that the access efficiency is significantly improved. Adding the pass rate will increase, the probability of the message being seen increases, and the overall response rate will also increase.

More importantly, subsequent operations will become more controllable. Because we are dealing with a group of real and reachable users, we can continuously optimize strategies through testing instead of being disturbed by invalid data.

In the long term, by continuing to clean the data, you can also gradually build your own high-quality user pool, making every contact more valuable.

digital planet is a world-leading number screening platform that combines Global mobile phone number segment selection, number generation, deduplication, comparison and other functions . It supports customers worldwideBatch numbers for 236 countriesScreening and testing services , currently supports40+ social and apps like:

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The platform has several features including Open filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filtering wait.

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You can find it on the official channelt.me/xingqiupro Get more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966

(Kind tips:existWhen searching for Telegram’s official customer service number, be sure to look for the usernamexq966), you can also verify it through the official website personnel: https://www.xingqiu.pro/check.html , confirm whether the business contact you is a planet official