Actual measurement of 10,000 TG accounts: 5 key indicators for TG active user

In the traffic landscape of overseas social platforms,Telegram (TG) has become one of the fastest growing platforms. Public data shows that TG’s global monthly active users have exceeded900 million, the number of messages generated every day reaches billions. For cross-border marketing, community operations orFor those who work on the Web3 project, this is indeed a huge traffic pool.

But the reality is often not so ideal.

Many teams are importing 10,000 TG account dataLater, you will find that the proportion of users who can actually interact is not high. After long-term observation in the industry, the number of truly active accounts in most data packets usually only accounts for 30% to 40%. The rest may be silent users, zombie accounts, or even completely unusable empty accounts.

This is why more and more practitioners are beginning to pay attention to a concept——TG active user screening materials. Through data detection and screening, truly active users are screened out from the huge account pool, thereby improving marketing efficiency.

This article is combined once Detection case of 10,000 TG accounts, sum up the judgmentTG active users5 key indicators.

one,10,000 account samples: What exactly are TG active users screening for?

In an actual data detection test, we imported 10,000 TG accountsPerform bulk screening. Detection dimensions include multiple indicators such as account status, recent online time, interactive behavior, and account stability.

The test results are very representative.

hereAmong 10,000 accounts, there are only about3,400 accounts belong to active users. There are also close3,000 accounts belong to low-active users, which means that these accounts exist but rarely participate in any interaction. Some of the remaining accounts are zombie accounts that have been silent for a long time, and some are empty accounts that have been canceled or do not exist at all.

In other words, if it is used directly for marketing without any filtering, then at least More than 60% of the data is of low value or even invalid.

This is alsoSituations that often occur in TG promotion:

There is a lot of data, but not many people are actually converting.

therefore,The core goal of TG active user screening is to filter out low-quality accounts and focus marketing resources on truly active people.

2. Judgment5 key indicators of TG active users

In actual operation, aWhether a TG account is active can be judged through multiple behavioral dimensions. Based on comprehensive industry experience, the most common and effective judgment criteria currently include the following:5 key indicators.

Last online time

This is the most intuitive indicator to judge user activity.

If an account still has online records in the past few days, it means that the user is still using it.TG. Generally speaking,Accounts that have been online within 7 days are highly active users.,Accounts that have been online within 30 days are moderately active users, while accounts that have not had any online records for more than 30 days are most likely to have been silent.

For those who do promotion, the shorter the recent online time, the higher the reach rate.

Group interaction behavior

One of the biggest features of TG is that it has a very active group ecology. Many users chat, discuss or share information in different groups every day.

Therefore, an active account usually has some obvious characteristics, such as speaking frequently, replying to group messages, or participating in group discussions.

On the contrary, those accounts that have not spoken for a long time are often just diving accounts, or even zombie accounts registered by machines. By observing group interaction behavior, it is very obvious to distinguish real users from low-quality accounts.

Private chat responsiveness

For many marketing scenarios, private chat is an important channel for conversion.

If an account can receive messages normally and can reply within a certain period of time, it means that the account has real social behavior. Industry experience shows thatUsers who can interact in private chats normally have conversion rates that are two to three times higher than those of ordinary group members..

Therefore, inIn the process of screening TG active users, private chat ability testing is also a very critical indicator.

Channel subscription behavior

TG is not just a chat tool, it is also an information platform. A large number of users obtain news, industry information or project updates through subscription channels.

Active users typically subscribe to multiple channels and view content regularly. Some accounts registered in batches often have almost no channel behavior, and even basic subscription records do not exist.

Therefore, channel subscription behavior can often reflect whether an account belongs to a real user.

Account status stability

In addition to activity level, account stability is equally important.

existIn TG data, the following situations often occur:

The account has been banned, the account has been canceled, or the account is only a temporary number registered for a short period of time.

No matter how many these accounts are, they have almost no value for marketing. Therefore, during the screening process, the account status must be checked first to filter out these invalid accounts.

3. WhyTG screening materials must rely on automated systems

In the early stages, many teams will try to filter accounts manually, such as checking account information one by one, sending test messages, or manually recording user status.

This method can be used reluctantly when the amount of data is small, but once the data size reaches thousands or even tens of thousands, it will become very inefficient.

Give a simple example.

If manual inspection 10,000 accounts, even if it only took ten seconds per account, it would take nearly a day to complete. In actual operations, manual inspection often encounters problems such as misjudgment and repeated inspection.

Therefore, most teams now use automated screening systems. The automated system can complete batch detection in a short time and automatically identify account status, activity and empty accounts, greatly improving screening efficiency.

Four,Industry solutions for TG screening tools

along withThe demand for TG data continues to grow, and more and more tools specifically for screen size detection are appearing on the market.

Currently relatively mature solutions usually have several functions, including batch import of account data, automatic detection of account status, identification of empty accounts, and filtering of active users.

in,Digital planet screening systemThis is a solution currently used by many teams. The system supportsTG account status detection, empty account detection, active user screening and other functions can complete large-scale data processing in a short time.

For first time users,Digital Planet also provides a free trial screen number detection service. Before official use, you can test some account data to understand the filtering effect. You can consult customer service for specific trial methods.

five,The true value of TG active user screening materials

Many people just started doing itWhen promoting TG, I always focus on one number: how many people have been added.

But what really determines the effectiveness of promotion is actually another number.——How many people are active users.

If a packet containsThere are 10,000 accounts, but only 3,000 users are active, so its real marketing value is actually only 30%. In contrast, even if there are only 3,000 accounts, as long as they are all highly active users, the promotion effect will tend to be better.

Active users generally mean higher reading rates, higher interaction rates, and higher conversion rates.

Therefore, in an increasingly competitiveIn the TG traffic environment, many mature teams will follow one principle:Screen the material first, then promote it.

Conclusion

along withTelegram's user base continues to expand, and the platform traffic is indeed increasing, but at the same time, data quality has become more complex. The proportion of empty accounts, zombie accounts and low-active accounts is constantly increasing. If not screened, it can easily lead to a waste of marketing resources.

pass TG active user screening materials, which can effectively improve data quality and make promotion more accurate.

If batch testing is requiredTG account data can be usedDigital planet screening systemFilter. The platform currently provides Free trial screening test service, users can test the data effect first, and then decide whether to use it for a long time based on their needs. For specific information, you can consult customer service.

existToday, the TG marketing environment is constantly changing.Data quality is often more important than data quantity. Screening is the first step to increase the value of data.

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