How does Telegram mass messaging improve message reach efficiency? Don’t let the news “sink in the ocean” again

Many people are doing mass messaging on Telegram to gain customers, but the results vary greatly: some people send it out and get views, replies, and conversions; some people send it out and it's like "throwing it into the water" and there is no response at all.

The problem is notTelegram is not easy to use, but many people regard group sending as "casual sending" without doing user screening, content stratification, or data sorting.

actuallyThe core of Telegram group sending is not "sending", but "who received it" and "whether the person receiving it is the right person".

Why is the effect of the same group message so different?

Many teams started doingWhen mass messaging on Telegram to gain customers, everyone thinks: as long as you send more messages, there will be customers.

But this is not the case at all.

If the same message is sent to precise users, such as people who have relevant needs, have been active recently, and are interested in the product, then there may be replies.

But if it is sent to casual users, users who have been inactive for a long time, or even users who are not in the target market, then it is basically"Cannot read back".

So the key to the problem is not the mass messaging tool, but the quality of the users.

If users are not accurate, mass sending is a waste

Many people have a lot of databases, but not many customers can actually use them.

For example, some users have not been active for a long time, some users are not in the target industry at all, and some just join the group casually."Passenger users".

If there is no screening, the results of mass sending will naturally not be good.

This is why more and more teams are beginning to pay attention toTelegram user screening, Telegram active user analysis and Telegram data collection.

Because mass messaging only makes sense if the users are clearly distinguished first.

The content determines the first glance, and the user determines the result.

Many people think that mass distribution fails because the content is not well written.

In fact, the content is only part of it.

More importantly: who do you send it to?

The same message, sent to the right person and the wrong person, has completely different results.

For example, if a team that provides cross-border services sends information to e-commerce sellers, they may be interested; but if it is sent to completely unrelated people, no matter how good the content is, it will be useless.

So now more and more teams are starting to do"Layered mass distribution" rather than full mass distribution.

Method 1: Classify users first and then send them to groups

Before sending in bulk, classifying is the most important step.

It can be divided according to several dimensions, such as active users, regional users, industry users, and potential customer users.

The benefit of this is that the content each type of user receives can be slightly adjusted.

For example, active users can post more detailed content, and potential users can post a brief introduction.

This will significantly increase the overall response rate.

Method 2: Control the frequency of group sending, don’t make it too dense

Another reason why many people fail to publish is that"Too often".

If you send messages several times a day, users can easily become disgusted or even block them directly.

Although Telegram is relatively open, users still don’t like to be disturbed.

Therefore, the more mature approach now is to control the frequency and maintain stable contact, rather than high-frequency bombing.

This can maintain exposure without offending users.

Method 3: Screen active users before sending

This is something that many teams overlook.

In fact, the users with the best group sending effect are"Recently active users".

Because these users are actually usingTelegram people.

If you send a message to a user who has been inactive for a long time, there will basically be no feedback.

So now many teams will doFilter active Telegram users and remove invalid users.

Method 4: The cleaner the data, the more stable the effect will be

Many people find the results unstable. In fact, the problem lies in the data itself.

If there are a large number of duplicate users, invalid users, and wrong users in the data, the mass sending results will naturally be diluted.

Therefore, before mass distribution, many teams will first clean the data, including deduplication, screening, and classification.

The cleaner the data, the more stable the reach effect will be.

Method 5: Mass messaging is not a one-time action

Many people do mass messaging"It's done once and it's over."

But the really effective way is to keep reaching out.

For example, the first time you send basic information, the second time you send a case, and the third time you follow up.

Through multiple contacts, users can gradually build up their awareness, rather than a one-time push.

digital planetThe role of Telegram’s batch user analysis system

In actual operations, many teams do not manually screen users, but use tools to improve efficiency.

digital planetTelegram batch user analysis system can help enterprises classify users, identify activity levels, and organize resources.

Many teams will first register for free through Digital Planet to experienceTelegram user data is imported into the system, and then active users and high-value users are quickly screened out.

When sending in groups like this, it is no longer"Unruly hair", but "precise hair".

On the surface it looks like mass messaging optimization, but in fact it’s essentially about user quality optimization.

The mass sending effect is poor, the essence is"The wrong person"

Many people attribute the problem to the tools not being easy to use and the content not being good enough, but the real core problem is often a mismatch between users.

If the user is right, there may be feedback even if the content is average.

No matter how good the content is, it will be difficult to work if the users are not right.

So now more and more teams are starting from"Group thinking" turns to "screening thinking".

Screening people first and then sending messages is the key to improving reach efficiency.

Telegram’s customer acquisition is moving from “quantity” to “quality”

done in the pastTelegram gets more customers than anyone who posts more.

Now the competition is about who is more accurate.

User filtering, data cleaning, activity analysis, and tag management are becoming basic operations.

Mass sending is only the last step, not the core step.

Whoever can organize the previous data well will have a significantly more stable mass sending effect.

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