Account filtering method in Telegram community operation, suitable for pre-group processing

The effectiveness of Telegram communities is largely determined before recruiting people. If the quality of users entering the group is unstable, it will become difficult no matter how you create content or activities in the future. On the other hand, if the user structure is clear from the beginning, group operation will be much easier.

Account filtering is placed before group recruitment. The essence is to improve the quality of the starting point of the community.

If you don’t screen before joining a group, problems will occur later.

Directly importing all data into the group seems very efficient, but the common results are:

l The number of people in the group is growing rapidly, but there is little interaction

l No obvious feedback after sending a message

l Core users are diluted by silent users

These problems are not due to poor operation, but problems with the user structure itself.

Three types of accounts that need to be filtered before joining a group

existIn the Telegram scenario, there are three types of accounts that are not suitable for directly entering the group.

The first category is unavailable accounts

For example, for accounts that cannot be reached normally or are in abnormal status, this part of the data will not generate any interaction.

The second category is abnormal accounts

Including robots or accounts with abnormal behavior will interfere with the atmosphere in the group.

The third category is low active users

Although it exists, it is difficult to make the group active if it does not participate in interaction for a long time.

Filtering these three types of accounts in advance can significantly improve the quality of the group.

The filtering process can be divided into three steps

There is no need for complex models, basic screening can be completed with simple sequences.

Screen availability first

Make sure that all accounts entering the group can be reached normally.

Rescreen activity

Prioritize users with recent usage behavior.

Finally, do simple layering

Differentiate users according to their activity levels to prepare for subsequent operations.

After this treatment, the initial structure of the group will be more stable.

It is more stable to do a basic test before filtering.

If you judge directly on the original data, it will be easily interfered by abnormal data.

In actual operation, you can first use Digital Planet to perform screen number detection to filter out unavailable accounts and abnormal data, and then perform active screening and stratification. Digital Planet supports free trial screening test.

This makes the screening process cleaner and reduces misjudgments.

The order of pulling groups will affect the subsequent performance of the group

It is not only necessary to filter, but also to control the order of groups.

Prioritize the introduction of highly active users so that interaction can be formed within the group first.

Then gradually add medium active users to expand the scale.

Low active users can postpone the import to avoid affecting the rhythm.

If a large number of low-active users are mixed in from the beginning, it will be difficult to establish an atmosphere.

High-quality users play a core role in the group

The selected highly active users are not only participants, but also affect the performance of the entire group.

They are easier to:

l Start a discussion

l Participate in interaction

l Inspire other users

The number of this group of users does not need to be large, but it must exist stably.

A common misunderstanding is to scale up first and then optimize

Many teams will first expand the group and then consider optimizing the user structure. However, in actual operation, once the group becomes larger, the adjustment cost will increase significantly.

A more effective way is to control the quality before recruiting people, rather than remedying it afterwards.

Expansion only makes sense after the group quality is stable.

Once there is stable interaction within the group, it will be easier to maintain the rhythm by gradually expanding the scale.

If the structure is chaotic at the beginning, the larger the scale, the more obvious the problems will be.

The core of community operation is structure, not number of people

The more people in a Telegram group, the better, but the clearer the structure, the more effective it is.

Through account filtering, the group can have an operational foundation from the beginning.

When user quality is stable, subsequent content, activities, and conversions will be smoother.

Putting filtering before gathering is a key step to keep the community in the right direction from the beginning.

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