Real user or silent account? Telegram screening active tool comparison actual test

existIn Telegram marketing, a seemingly simple question often affects the final effect: how many truly active users are in the group. Many teams will find that when operating a community, the number of group members continues to increase, but the number of people chatting does not increase at the same time. After the message was sent out, the reading volume was not high, and the number of people registering for the event was not ideal.

This situation is often not a problem of marketing content, but a problem of user structure. A considerable number of accounts among group members are inactive, some users only log in occasionally, and some have not even been online for a long time. If marketing information is sent to these silent accounts, it will naturally be difficult to generate interaction.

Therefore, many cross-border teams began to useTelegram filter activeto identify real users. By using tools to detect account activity, you can filter out truly online users for marketing and promotion.

Why you need a screening activity test

Many teams initially doWhen marketing on Telegram, we usually only focus on the number of users. For example, if the group has thousands of members, it looks very large. But when it was actually put into operation, it was discovered that there were only a few dozen people actually chatting.

When this continues to occur, it's time to re-evaluate user list quality. passTelegram's activity filter can quickly determine the account status and thus understand the proportion of active users in the list.

Many teams will discover a situation after completing the screening: the list that originally seemed to be very large actually does not have many active accounts. This is also the reason why many marketing activities have low interaction rates.

Test background description

A cross-border education team is working inA Telegram screening activity test was conducted at the end of 2025. At that time, they accumulated approximately 12,000 Telegram user contact information, which came from different channels, including advertising, community fission, and event registration.

When promoting the course, the team found that although there were many lists, there were not many people who actually inquired about the course. In order to find out the reason, they decided to conduct activity checks on all accounts.

After the screening was completed, it was found that the only users who were truly active were about7,000, and the remaining accounts have low login frequency or have been silent for a long time.

Differences in screening speed between different tools

During the screening process, the team tried several different tools. Some tools are slow to detect and can only detect a small number of accounts at a time. It takes a long time to process thousands of accounts.

Some platforms that support batch testing can complete large-scale screening in a relatively short period of time. This is very important for teams with large amounts of user data, because filtering efficiency directly affects the rhythm of operations.

For cross-border marketing teams, tools that can support batch testing are often better suited for long-term use.

The impact of recognition accuracy on marketing

Screening tools need not only to be fast, but also to identify accurately. Because if the detection results are inaccurate, the marketing list will still contain a large number of silent accounts.

In testing, the team found that tools with higher screening accuracy can significantly improve marketing effectiveness. Because marketing messages are sent more to real online users.

When the proportion of active users increases, the interaction rate will also increase simultaneously. The number of people chatting in the group has increased, and activity participation has also increased significantly.

Comparison of promotion effects after screening

Before the screening, the team conducted a course promotion activity. At that time, the group members made an appointment5,000 people, but only about 80 people registered for the event.

After screening active users, the team re-established the core community and centrally managed active users. During the second promotion of the event, the number of people in the group was approximately3,000 people, but the number of applicants reached more than 150.

Although the number of people in the group has decreased, the interaction rate and conversion rate have increased significantly.

This case also shows that marketing effectiveness often depends on user quality rather than user quantity.

Why batch screening is more important

along withTelegram marketing has expanded, and the user lists of many teams are growing. Some teams have even accumulated tens of thousands of user contact details.

In this case, manual judgment is almost impossible without batch screening tools. Not only does it take a lot of time for the team, but it’s also prone to miscalculations.

Therefore, more and more cross-border teams are beginning to use batch screening systems to completeTelegram filter is active.

Digital Planet’s performance in multi-country screening

In this test, the team also tried to filter through the digital planet. Digital Planet is a global number screening platform that supportsTelegram account status identification can help determine whether the user has an active account.

The platform currently supports globalThe ability to filter 244 country numbers is very practical for teams working in cross-border markets. User data from different countries can be tested through the same platform, thereby improving screening efficiency.

Through batch testing, the team can quickly compile a list of active users and then conduct marketing promotions.

Optimize community operations starting from active screening

existIn Telegram marketing, many teams will focus on increasing the number of users. But as operational experience increases, everyone will gradually find that optimizing the user structure is often more important.

Screening activity on Telegram can help the team identify real users and reduce the proportion of silent accounts. When the proportion of active users in the community is higher, the interactive atmosphere will be better.

For long term operationFor the Telegram community team, regular activity screening can help maintain stable community quality.

If your team has accumulated a batch ofTelegram users may wish to do a Telegram screening activity test first. By detecting account activity and then conducting marketing promotions, you will often see more obvious results. Using screening platforms like Digital Planet for batch testing can also make the entire process more efficient.

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