Dismantling TG’s precise user screening in 7 dimensions: finding the real target group

existToday, as Telegram marketing becomes more and more mature, many teams are beginning to realize a problem:Traffic does not equal user value.

Many projects will be imported during promotion 50,000, 100,000 or more TG account data, looks very large, but the proportion of users who can actually interact and convert is not high. The reason is simple——Although there is a lot of data, it is not accurate.

There is a very typical rule in the overseas marketing industry:The more accurate the users, the higher the conversion rate.

Therefore, more and more teams are beginning to study TG precision user screening material. Through data screening, users who truly match the target group can be found from a large number of accounts.

This article will start from 7 dimensionsdismantleThe core logic of TG precise user screening and tells you how to start from100,000 account dataScreen out the truly valuable users.

1. Why accurate users are more important than traffic scale

In many people’s minds, the more users, the better. But in actual operations, this logic does not entirely hold true.

Suppose there are two promotion methods:

The first is to import 100,000 ordinary account dataCarry out mass promotion;

The second is to filter out 20,000 precise active usersCarry out targeted promotion.

In most cases, the second method tends to have a higher conversion rate.

The reason is very simple: accurate users are more likely to be interested in the content.

existIn TG marketing, if the data is not filtered, several typical problems will occur:

The first is low reach efficiency. Many accounts are not active at all, and no one sees the messages sent out.

The second is the low conversion rate. Although users exist, they are not the target group.

Finally, operating costs increase. The more invalid data, the higher the marketing costs.

therefore,The core goal of TG's precise user screening is to improve data matching.

two,7 core dimensions of TG precise user screening

In the actual data screening process, multiple dimensions can be used to determine whether the user is accurate. Comprehensive industry experience, currently the most commonly used 7 filtering dimensionsIncludes the following.

Countries and regions

Users’ spending power and interests vary greatly in different countries.

For example:

l European and American users are more receptive to digital products

l Southeast Asian user communities are more active

l The Middle East is inActive in Web3 and investment projects

therefore,National screening is often the first step in accurately screening materials for users.

User activity level

Even if a user belongs to the target area, if he does not use it for a long timeTG also has almost no marketing value.

Therefore, when screening materials, we usually detect:

l Last online time

l active cycle

l Message interaction behavior

Generally speaking,Users who come online within 7 days have more marketing value.

Group interest tags

TG users usually join multiple groups.

By analyzing the types of groups a user joins, the user's interests can be roughly determined. For example:

l Join a cryptocurrency group → Interested in Web3

l Join e-commerce group → Interested in business or entrepreneurship

l Join gaming group → Sensitive to entertainment content

This method can help the team quickly filter out users with matching interests.

Account registration time

Registration time is also an important indicator.

Although there are many newly registered accounts, many of them are temporary accounts or test accounts. In contrast,Accounts that have been registered for a long time and are continuously active are more stable..

For long-term marketing projects, these types of accounts are usually worth more.

Device environment

partTG accounts are generated through batch registration, and such accounts often come from similar device environments.

By detecting device characteristics, a subset of low-quality accounts can be identified, thereby improving overall data quality.

social network

Real users usually have a certain number of contacts or group relationships, while zombie accounts often have almost no social relationships.

Therefore, by analyzing the user’s social network, the authenticity of the account can be further determined.

historical interaction behavior

The final key dimension is historical interaction behavior.

For example:

l Have you participated in group discussions?

l Whether to leave a message in the channel

l Is there any private chat interaction record?

These behaviors can reflect the true activity of users.

Combining these indicators, truly valuable users can be screened out from a large amount of data.

three,The real process of screening materials for 100,000 TG accounts

When the data scale reaches 100,000 accountsBy now, manual screening has become almost impossible.

Therefore, most teams adopt automated screening processes.

Usually the steps include the following stages:

The first step is to import the original account data.

The second step is to check the account status, filter out empty accounts and ban accounts.

The third step is to detect activity, such as recent online time and interactive behavior.

The fourth step is to classify based on country, interest tags and other conditions.

Finally, filter out the data that matches the target user profile.

Through this process, originally Data of 100,000 accountsUsually compressed to 20,000 to 30,000 precise usersabout. Although the quantity is reduced, the data quality will be significantly improved.

4. Why automated screening is becoming more and more important

along withTG marketing competition is intensifying and data scale is getting larger and larger.

If you rely on manual methods to process data, it will not only be inefficient, but also prone to misjudgment. especially when dealing with Tens of thousands to hundreds of thousands of account dataAt this time, automated tools are almost the only viable solution.

Automated screening systems can usually complete the following tasks in a short time:

l Check account status in batches

l Automatically identify empty numbers

l Filter active users

l Classify user data by criteria

In this way, data processing efficiency can be improved dozens of times.

5. Commonly used solutions in the industry

There are already many on the marketTG data processing tools, some of which specifically provide account detection and screening services.

For example Digital planet screening system, just supportTG account status detection, active user screening and precise user classification and other functions. Through automated detection, empty accounts and low-quality accounts can be quickly filtered out, thereby increasing the value of data.

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 check the screening effect. You can consult customer service for specific trial methods.

Conclusion

existIn the TG marketing environment,Data scale is no longer the only advantage. What really determines the effectiveness of promotion is whether the data is accurate.

pass TG precision user screening material, which can screen out users who truly match the target group from a large amount of account data, thus significantly improving promotion efficiency and conversion rate.

in the futureIn the TG traffic competition, whoever can find target users faster and more accurately will be more likely to obtain growth opportunities. Precise screening of materials is an important basis for achieving this goal.

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