2026 TG high-quality user data report: 1.2 million account samples tell you what high-quality traffic

In the past few years,Telegram has gradually grown from a niche communication tool to one of the most important social platforms in the world. According to public statistics, the number of TG users has exceeded900 million, and still maintains rapid growth.

However, as more and more companies and projects begin toWhen marketing on TG, a question gradually surfaced:There are many users, but not many high-quality users.

on one occasion 1.2 million TG account samples In the inspection of industry data, we found that the proportion of truly high-value users is far lower than many people expected. A large number of accounts actually belong to low active users, zombie accounts or even empty accounts.

This article will be based on Data observation of 1.2 million accounts, analyze what is real TG high-quality user data, and how to find these high-quality flows through the screen material.

one,Real data revealed by 1.2 million TG account samples

In this industry sample test, we conducted 1.2 million TG accountsMulti-dimensional testing was conducted, including account status, activity, interactive behavior and social relationships.

The test results show a very obvious feature:

The proportion of users with real marketing value is not high.

In the entire sample, approximately only About 35% of accounts are active users. These users have online records in the recent period and have participated in group or channel interactions.

There are also close 30% of accounts are low active users. Although these users exist, they rarely participate in interactions and often only log in occasionally.

The remaining accounts belong to low-quality data, such as zombie accounts that have been silent for a long time, or empty accounts that have expired.

In other words, if a team directly uses unfiltered data for promotion, there is likely to be More than half of the data has little practical value.

two,4 core characteristics of high-quality TG users

After a large amount of data analysis, you can find the real high-qualityTG users tend to have some common characteristics. Comprehensive industry experience,High-quality users usually have4 obvious characteristics.

Consistently active usage habits

Quality users tend to stay with them for a long timeTG, instead of signing up for a short time and then giving up.

Such users tend to go online regularly to chat with friends, participate in group discussions, or browse channel content. From a data perspective,Accounts with online records within 7 days are more likely to be high-quality users.

Group participation is high

The core ecosystem of TG is groups, so group participation can well reflect user activity.

Quality users often join multiple groups and occasionally participate in discussions. Even if you don't speak frequently, you will read group messages and stay online.

In contrast, many bot accounts barely engage in any group interaction.

Channel subscription behavior is obvious

TG channel is an important channel for information dissemination. Active users usually subscribe to multiple channels, such as news channels, industry channels, or interest-based channels.

These subscription behaviors indicate that users are passingTG obtains information, which also means that they are more likely to see promoted content.

stable social relationships

Real users usually have a certain number of contacts and join multiple social networks.

Low-quality accounts often lack social relationships, have a small number of contacts, and have very low group participation.

Therefore, by analyzing the social relationship network, the authenticity of the account can be further determined.

3. Low qualityCommon characteristics of TG data

existAmong the 1.2 million account samples, the proportion of low-quality data cannot be ignored.

These accounts usually have some typical characteristics.

One of them isEmpty account. This type of account exists in the data, but is actually no longer available. The account may have been canceled or may not exist at all.

The other isZombie account. This type of account is usually generated through batch registration and rarely has real user behavior.

Another one isShort-term registration account. The registration time for these accounts is very short, and many of them are just for testing or temporary use.

If a large amount of low-quality data is used in promotion, it can easily lead to several problems, such as increased marketing costs, decreased reach, and lower conversion rates.

4. How to obtain high qualityTG user data

For hope inFor teams operating on TG for a long time, obtaining high-quality user data is a very critical step.

Generally speaking, this can be accomplished in two stages.

The first stage is data collection, such as obtaining raw account data from groups, channels, or user lists.

The second stage is data screening. By detecting account status, activity, and interactive behavior, low-quality data is filtered out to retain truly valuable users.

When the data scale is large, such as tens of thousands or even hundreds of thousands of accounts, manual screening is almost an impossible task. Therefore, most teams use automated screening systems for inspection.

5. The role of the screen number system in data screening

along withThe demand for TG marketing continues to increase, and platforms dedicated to account detection and screening are gradually emerging.

For example Digital planet screening system, just provideTG account status detection, active user screening, and empty account identification and other functions. Through batch detection, low-quality accounts can be quickly filtered out, thereby improving overall data quality.

For first time users,Digital Planet currently provides a free trial screening test service. Before official use, you can import some account data for testing to check the screening effect. For specific trial methods, you can consult customer service.

In this way, teams can gain a clearer understanding of data quality and decide on subsequent operational strategies.

Conclusion

along withTelegram’s user base continues to expand, and the amount of data on the platform is growing. But at the same time,Differences in data quality are becoming increasingly evident.

exist 1.2 million account samples It can be seen from the inspection that only a portion of high-quality users with real marketing value account for them. Without filtering, it is easy to waste a lot of resources on low-value data.

Therefore, inIn the TG marketing environment, more and more teams are beginning todata filter as the first step in the operational process. By screening high-quality users, promotion efficiency can be significantly improved and every contact can be made more valuable.

in the futureIn the TG traffic competition, whoever can find high-quality users faster will have a greater chance of growth. andTG high-quality user data screening material, is an important tool to achieve this goal.

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