How to use Telegram group sending tool? Screen users first and then send them in batches

现在不少做跨境运营的人都会把重点放在群发之前,而不是群发之后。先把用户筛选好,再开始发送,往往比单纯提高发送数量更有效。

first contactMost people who use the Telegram group sending tool are concerned about the same question: "How can I send to more people at once?"

But after actually starting to operate, many people discovered that sending is not difficult, the difficulty is who to send it to. If the users on the list themselves are inactive, or the numbers are not of high quality, it will be difficult to see an ideal response rate even if you can send thousands of messages at a time.

Therefore, many people who do cross-border operations now focus on before mass distribution, rather than after mass distribution. Screening users first and then starting to send is often more effective than simply increasing the number of messages sent.

Why do some people have good hair effects?

The same is usedTelegram group sending tool, different teams get completely different results.

Some people send 10,000 messages and receive hundreds of replies; others send the same number but receive almost no feedback.

The reason is often not the tools, but the data.

If the list is mixed with a large number of long-term offline, invalid numbers or low-active users, it will be difficult to generate real interaction no matter how many messages are sent.

Therefore, the first step in mass sending is never to click"Start sending", but organize your user list.

What should a reliable mass sending process look like?

Many novices tend to reverse the order.

In fact, a relatively mature process usually looks like this:

The first step is to organize user data.

The second step is to screen the number quality.

The third step is to classify according to different types of users.

The fourth step is to prepare the content to be sent.

Finally, the group sending really started.

Although it takes a little longer than sending it directly, the subsequent operational efficiency is often much higher.

Why user screening is so important

Give a simple example.

Suppose you have ten thousandTelegram user.

If there are 3,000 numbers that have not been used for a long time, and there are 2,000 low-quality accounts, then only about half of the users are actually worth marketing.

If screening is done early:

The quantity you sent may have been reduced.

But more people actually saw the news.

For operations, this is a more valuable result.

What preparations can be made before mass sending?

Many teams will establish their own data collection process.

For example:

lClean up duplicate users;

lCheck number status;

lDetermine whether the account is normal;

lDistinguish between active and silent users;

lBuild different marketing lists.

Another advantage of doing this is that you don’t have to reorganize the data every time you market in the future.

The content is the same, but it can also be sent to different people.

Many people put all users on the same group mailing list.

In fact, a better way is to send in groups.

For example:

For new users who are coming into contact with the product for the first time, you can send introductory content.

Promotions can be sent to users who have already consulted.

For users who have not interacted for a long time, you can try to reactivate.

Although it is just a simple grouping, the actual effect is often better than sending it uniformly.

The mass sending tool is just for execution, data is the real foundation.

Sometimes, people tend to focus on the tool itself.

for example:

Which tool sends faster?

How many accounts are supported?

How many messages can be sent at one time?

Of course these are important.

But what really determines the result is the previous data preparation.

If the list is of high enough quality, it’s easier to get real interactions even if the send size isn’t that large.

Many people have begun to automate data sorting

As the number of users increases, manually organizing lists becomes more and more cumbersome.

Especially when new data is added every day, rely onExcel filters through bits and pieces, which is not only inefficient but also error-prone.

Therefore, many operations teams will complete number detection, account status analysis and user classification in advance.

For example, Digital Planet supportsTelegram number detection, user filtering, data cleaning and batch tag management can be completed first and then imported into the mass sending tool for use. At the same time, it also supports unified processing of data from multiple platforms such as Instagram, Facebook, WhatsApp, etc., to avoid repeated sorting for each platform, greatly saving operation time.

Mass sending does not mean that the more you send, the better.

This is something that many people only slowly understand after they actually start operations.

I always felt that as long as the number sent was large enough, someone would always reply.

Later I discovered that what really affects the results is not how many messages are sent out, but how many people on the list actually want to see the message.

Therefore, more and more teams now spend more time filtering data instead of constantly increasing the number of sends.

As the list becomes more and more accurate, each subsequent mass distribution will be much easier, and the response rate, interaction rate and overall operational efficiency will continue to improve as the data quality improves.

 

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The platform has several features including Open filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.

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