Screening out 3,000 online users in 30 minutes: TG Online User Screening Practical Guide

existIn the traffic world of Telegram,Time often determines conversion rate.

many people doA typical problem will be encountered when promoting TG: the message is sent, but no one responds; a large number of users are sent in bulk, but the reading rate is very low. The problem is often not the content, but theIs the user online?.

If the target users are not online at the time, then no matter how good the content is, it is easy to be drowned in a large number of messages.

Therefore, more and moreIn the operation process of TG marketing team,TG online user screening materialshas become an important link. By filtering users who are currently or recently online, you can significantly increase message reach and interaction rates.

This article will combine practical experience to clarify a question:how toScreen out 3,000 online TG users within 30 minutes.

1. Why online users are more valuable

existIn the TG ecosystem, the gap in marketing value between online users and offline users is very obvious.

When a user is online, messages are typically seen within a short period of time. If the content is engaging, users are likely to click, reply, or participate in discussions immediately.

But if the user is not online for a long time, even if the message is successfully sent, it may not be seen until days or even weeks later.

Found in actual marketing tests:

When a message is sent toRecent online usersReading rates usually increase when 2 times to 4 times.

In some real-time promotion activities, the interaction rate of online users can even increase More than 5 times.

Therefore, many matureThe TG promotion team will conduct an online user screening before sending marketing information.

two,3 mainstream ways for TG online users to screen materials

Currently in the industry, there are usually three ways to screen online users. Different methods are suitable for different sizes of data.

The first type: Group user filtering

This method is relatively simple and is usually used for small-scale data.

To do this, enter the target group and view the most recent speaker or currently online user. Because members of active groups usually participate in discussions within a short period of time, there is a high probability that these users are online.

The advantage of this method is that it is intuitive, but the disadvantages are also obvious——Low efficiency and limited data volume. If you need to filter thousands or even tens of thousands of users, this method is almost impossible to implement.

The second type:API status detection

Some technical teams will detect user status through interfaces to determine whether the user is online or recently active.

The data accuracy of this method is higher, but it requires certain technical capabilities, such as:

l Write detection script

l Call interface

l Manage account permissions

For ordinary operations teams, the technical threshold is relatively high.

The third type: automated screening system

along withThe demand for TG marketing continues to increase, and more and more teams are beginning to use automated screening tools for online user detection.

Automated systems typically fulfill several functions:

The first is to import account data in batches, the second is to automatically detect the account status, and then filter based on online time, activity and other conditions.

In some more efficient systems,You can detect tens of thousands of account data in just a few minutes, filter out recent online users.

three,Operation process to screen 3,000 online users in 30 minutes

In actual operation, if you have a batch ofTG account data, such as10,000 user accounts, online users can usually be quickly screened through the following process.

The first step is to import the original account data.

Data can come from group crawls, historical user lists, or other sources.

The second step is to check the account status.

The main purpose of this step is to filter out empty accounts, banned accounts, and invalid data.

The third step is to detect user active time.

The system will determine whether the user is an online or recently active user based on the most recent online time.

The fourth step is to set filter conditions.

For example, only keep Users online within 24 hours, or filter Active users within 7 days.

The fifth step is to export the filter results.

After screening, the original 10,000 accountsusually left 2,000 to 3,000 online or highly active users.

These users are the most suitable target groups for instant marketing.

4. Common application scenarios of online user data

TG online user screening materials are not only used for marketing and promotion, but are also widely used in multiple scenarios.

For example, in community operations, online users are more likely to participate in discussions, thus stimulating the group atmosphere.

In event promotion, online users are more likely to participate in limited-time activities or rush sales activities.

In project promotion, online users are also more likely to have immediate feedback on information.

As a result, for many teams, online user data has become an important resource for improving engagement rates.

5. How to choose the appropriate screening tool

When the data scale reaches thousands or even tens of thousands of accounts, using an automated screening system is often the most effective way.

There are already many on the marketTG data processing tools, some of which specifically provide account detection and screening services. For exampleDigital planet screening system, just supportTG account status detection, online user screening and batch data processing.

Through automated detection, you can quickly identify:

l Empty account

l Invalid account

l Recent online users

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

Conclusion

existIn the TG marketing environment,Whether the user is online often directly affects the promotion effect.

If information is sent to offline users, no matter how good the content is, it will be difficult to get immediate feedback. And pass TG online user screening materials, you can focus your promotion resources on the groups of people who are most likely to interact.

along withThe competition for TG traffic is becoming increasingly fierce, and many teams have formed a fixed process:

First screen online users and then conduct promotion and outreach.

This method can not only increase the reading rate and interaction rate, but also significantly improve the overall conversion efficiency. in the futureTG is in operation,Data filtering capabilities are likely to become one of the important factors that determine marketing effectiveness.

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