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16

2026-04

There are many Telegram group members but they don’t speak. Can the active screening be solved in advance?

In Telegram community operations, a common phenomenon is that the number of people in the group continues to grow, but the number of interactions becomes less and less. On the surface, the group size is expanding, but the actual proportion of effective users is declining. This situation is not a content problem, but often due to deviations in the data structure imported earlier.

14

2026-04

To attract traffic to Telegram in 2026, should you screen robot accounts first or active accounts first?

In the Telegram traffic drainage scenario, the data question has changed from "are there users?" to "is the user valid?" As the number of accounts continues to increase, the proportion of robot accounts, abnormal accounts, and low-active users in the data has increased significantly. Without filtering, the imported user pool can easily be diluted by these low-quality data, directly affecting subsequent interactions and conversions.

08

2026-04

An actual test: After filtering out low-active accounts, Telegram group interaction increased significantly

First, conduct Telegram registration test to filter out the accounts that have been opened; then conduct activity judgment to filter out accounts that have not been used for a long time or have low activity. This can retain users who actually use it.

08

2026-04

Telegram is inactive after adding a group. Is it useful to screen users who have been active for 7 days?

In Telegram community operations, a very common situation is: the group is established and people are brought in, but it is just inactive. No one responded to the message, and the group was in a "silent state" for a long time.

08

2026-04

As Telegram robots have more ways to play, why is it more worthwhile to identify risk numbers in advance?

With the popularity of Telegram automation tools and robots, more and more teams are beginning to use robots to attract traffic, attract groups, automatically reply and other operations. On the surface, efficiency has improved, but it also brings about an obvious problem: data quality is becoming increasingly difficult to control.

07

2026-04

How to determine Telegram activity? Why can’t community operations just look at the registration status?

A very common misunderstanding in Telegram community operations is that as long as a user registers for Telegram, he or she is an "available user" by default. However, in actual operation, you will soon find that although many accounts exist, there is almost no interaction.

02

2026-04

Is there a tool that automatically generates + screen numbers + exports without having to do it by hand?

When the demand for data increases, many people will find a problem: the process is too fragmented. First use the number generation tool to generate data, then use the number screening tool to detect WhatsApp or filter on Telegram, and finally manually organize and export it. This process is not only time-consuming, but also error-prone.

02

2026-04

Where can I find the Telegram account detection API? Does it support batch calls?

When doing automated Telegram operations or acquiring customers in batches, one of the core capabilities is account detection. A lot of data looks like "users", but in fact they have not opened Telegram, or their accounts have long been inactive. If there is no detection link, all subsequent operations will be based on low-quality data.

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