50,000 new registered accounts were added in 72 hours: TG registered users’ growth method of screening materials

existIn Telegram’s rapidly expanding user ecosystem,New registered userIt has always been regarded as the most promising group of traffic.

The reason is simple: new users have just entered the platform and social relationships are still being established. It is usually easier to become interested in new groups, channels and project content. Therefore, in many marketing strategies,TG registered user screening materialsIt is often regarded as an important way to obtain early traffic.

But problems also arise. Although a large number of new accounts are registered every day, not all of these accounts are valid users. If there is no filtering, it is likely that a large number of empty accounts, test accounts or even low-quality accounts registered in batches will be mixed in.

So here comes the question:How to filter out truly valuable registered users from a large number of new accounts?

This article will combine once Screening case of adding 50,000 account data within 72 hours, dismantlingThe core logic of TG registered user screening.

one,Why TG registered users deserve attention

existIn the TG ecosystem, new registered users often have some unique characteristics.

first ismore sensitive to new information. Because they have just entered the platform, users usually take the initiative to explore new groups and channels.

followed bySocial relationships have not yet solidified. Compared to already inUsers who have been using TG for many years make it easier for new users to join new communities.

In addition, it is often easier for new users to establish their first impression of a brand or project, which is why many growth teams focus on registered users.

According to industry experience, in some promotion scenarios,The community joining rate of newly registered users can reach that of ordinary users1.5 times to 2 times.

two,The real situation of adding 50,000 new accounts in 72 hours

In a data test, we collected a batch of 50,000 TG accounts added within 72 hours, and conducted preliminary testing.

The test results show that although the number of newly registered accounts is huge, the quality difference is very obvious.

hereAmong the 50,000 accounts, some users are indeed real users who have just joined TG. They have begun to join groups, subscribe to channels, and gradually form social relationships.

But there are also many low-quality accounts. For example, some accounts are only registered for a short period of time and then no longer used, and some accounts may come from batch registration tools.

In this case, if you directly use these data for promotion, it is easy to encounter the problem of low reach rate or low interaction rate.

therefore,It is particularly important for TG registered users to screen materials..

three,5 key steps for TG registered users to screen materials

When processing newly registered account data, you can usually filter according to the following steps.

Step One: Raw Data Collection

First, you need to obtain a batch of registered user data. This data may come from groups, channels, or other user sources.

The focus of this stage is to expand the size of the data to provide sufficient samples for subsequent screening.

Step 2: Account status check

After importing data, you need to first check the account status.

Some accounts may have been canceled or may not exist at all. Such accounts need to be filtered out as soon as possible.

Through status detection, some invalid data can be quickly cleaned up.

Step 3: Registration time screening

Next, you can filter by registration time, such as filtering Register within 3 days or Register within 7 days account.

This method ensures that the data does belong to the new user and not the old account.

Step 4: Activity detection

Although it is a new account, if the user does not have any activity records, the marketing value is still limited.

Therefore, it is usually necessary to detect whether the user has online records, whether he has joined a group, or whether he has interactive behaviors.

Only accounts that meet both registration time and activity levels are more likely to belong to real users.

Step 5: Data classification and labeling

After completing the basic screening, users can be classified by labels according to country, interest group and other dimensions.

For example:

l E-commerce interested users

l Web3 interest users

l Entertainment users

In this way, data accuracy can be further improved.

4. Common application scenarios for registering user data

TG registered user screening materials have practical applications in multiple marketing scenarios.

As the community grows, it is easier for newly registered users to join new groups, thus helping the project quickly establish a community foundation.

In product promotion, new users are more likely to accept new services or platforms.

During the project launch phase, new user groups are often used as early seed users.

Therefore, registered user data is a very important source of traffic for many teams.

5. How to improve the screening efficiency of registered users

When the data scale reaches tens of thousands or even hundreds of thousands of accounts, manual screening is almost impossible to complete.

At this point, most teams will choose to use automated screening tools.

Automated systems typically do the following:

l Check account status in batches

l Automatically identify empty numbers

l Screen new registered users

l Check user activity

For example Digital planet screening system, just supportFunctions such as TG account status detection, registration time filtering, and active user filtering.

For users who need to test data quality,Digital Planet currently provides a free trial screening test service. Before official use, you can import part of the account data for testing. You can consult customer service for specific trial methods.

Through the automated screening system, data processing efficiency can be significantly improved and errors caused by manual screening can be avoided.

Conclusion

along withTelegram user base continues to expand,New registered users are increasing every day. These users contain a large amount of potential traffic, but they are also mixed with many low-quality accounts.

pass TG registered user screening materials, which can filter out truly active and real users from a large number of new accounts, thereby improving promotion efficiency.

existToday, as TG marketing becomes more and more sophisticated, data screening capabilities have become an important competitiveness of the operations team. Whoever can find high-quality users faster will be more likely to gain an advantage in the fierce competition for traffic.

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