After acquiring customers through the Telegram channel, how to screen out high-quality users through screen numbers

Telegram itself is a platform that can easily amplify the scale of data. As long as the channels are opened, the number of people joining the group and the number of channel subscriptions can grow rapidly. But after the scale increases, what really affects the results is no longer "how many people come in", but "the quality of the users who stay."

If there is no filtering, a large number of low-activity, abnormal or even unavailable accounts will be mixed into the private domain, which will slow down the subsequent group operation or private chat conversion. Putting the screening step first is the most direct way to improve efficiency.

After Telegram acquires customers, don’t rush to import the private domain first

The data obtained by the channel is usually an unprocessed original user pool, which contains many types:

l Silent accounts that have been inactive for a long time

l Robot or abnormal account

l Users who join temporarily but will not participate in the interaction

l Accounts with extremely incomplete information

If all these users are directly imported into the private domain, it will not only affect the atmosphere within the group, but also make subsequent hierarchical judgments difficult. Many times, it seems that there are many users, but the proportion of actual interactions and conversions is very low.

Therefore, a more reasonable order is to screen first and then operate.

high qualitySeveral core characteristics of Telegram users

Before filtering, you need to clarify what kind of users are worth retaining. Generally speaking, high-quality users will have several basic characteristics at the same time.

The first is that the account is available and can be reached and interacted with normally. This is the most basic condition. Secondly, there are traces of long-term use. For example, the account has existed for a long time and the behavior is relatively stable, rather than temporary registration or abnormal account.

Another important dimension is activity. Users who have logged in or interacted recently are more likely to be reached and more likely to respond. Finally, there is the completeness of the information. Accounts with normal avatars, nicknames, and basic information are closer to real users.

These characteristics are added together to form a usable filtering criterion.

Several dimensions to prioritize when screening numbers

In actual operation, there is no need to make complex judgments at once, and can be filtered layer by layer in order.

The first layer is basic availability, which filters out unreachable accounts and obviously abnormal data. The goal of this step is to ensure that all subsequent operations are based onabove "valid data".

The second level is the active status, which determines whether the user is worthy of priority follow-up based on recent usage behavior. Active users generally communicate more efficiently.

The third layer is information and usage traces, which are used to further distinguish real users from low-quality accounts. Although this layer is not necessary, it can improve the overall judgment accuracy.

Through these three levels, the raw data can be broken down into a clearer structure.

Before filtering, clean up invalid accounts first

An issue that is easily overlooked is that if the account itself is not available, it is meaningless to judge the activity or data.

In actual data, common situations include account invalidation, abnormality, inaccessibility, etc. If these data are not processed first, it will interfere with subsequent hierarchical judgments.

During the operation, you can first use Digital Planet to do screen number detection to filter out unavailable, abnormal and low-quality accounts, and then continue to filter the remaining users according to their activity and usage behavior. Digital Planet supports free trial screening test.

This ensures that the filter is onBased on "clean data" instead of making repeated judgments based on messy data.

After filtering, users need to re-stratify

After completing the screening, the data should no longer be processed uniformly, but needs to be used in layers.

High quality users

This group of users is available and active, and can prioritize private chats or key operations. They are the layer closest to conversion.

medium quality users

Although available, the activity or matching degree is average, and it is more suitable to be gradually cultivated through content or group operations.

low quality users

Including users with low activity or missing data can reduce the frequency of contact and avoid consuming too many resources.

After stratification, each type of user has a corresponding operation method, and the overall efficiency will be higher.

Why screen numbers are more important than back-end operations

Many teams will focus on the back-end, such as optimizing words and increasing interaction. However, if the quality of users themselves is not high, these efforts will be difficult to achieve results.

The significance of the screen number is to deal with the problem in advance. Instead of constantly trying to communicate with low-quality users, you can filter out more valuable people from the beginning.

When the users entering the private domain themselves are cleaner and more active, every subsequent step becomes easier.

Common misunderstanding: only look at quantity, not structure

existIn the Telegram channel, it is easy to be led astray by “user growth”. Increasing numbers of people is indeed important, but if the structure is disorganized, growth will magnify the problem.

For example:

l Core users are diluted by a large number of silent users

l Decline in group interaction

l Conversion efficiency is getting lower and lower

These problems are essentially due to the lack of early screening.

fromFrom "pulling people" to "selecting people" is the key to operational upgrades

The Telegram channel itself does not lack traffic. What is really scarce are high-quality users. When screening and stratification become a fixed process, you will notice an obvious change: the number of users may decrease, but effective communication will increase significantly.

Operation from"Getting as many people as possible" has been transformed into "prioritizing the right people". This is a key step in improving the efficiency of the private sector.

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