Telegram can’t acquire customers in its overseas private domain. What’s the problem?

In the actual operations of many cross-border teams,Telegram often has high expectations. With a large user base, flexible community mechanism, and high content dissemination efficiency, it seems to be a very suitable platform for private domain accumulation. But after running for a period of time, the results were not ideal: people came in, but did not speak; groups were built, but there was no conversion; the data seemed to be a lot, but there were almost no effective users.

This type of problem is actually very common, and is often not caused by a single cause, but the result of the superposition of multiple links. If you only focus on optimizing at a certain point, it will be difficult to truly solve the problem.

Why does it seem like I’ve done a lot of things, but nothing works?

Many teams are inThere are actually quite a lot of operations on Telegram, such as batch gathering of people, automatic addition of people, community distribution of content, etc., but the effect is still very weak.

The reason is that these actions are more"Surface-level actions" do not solve the underlying problems. In other words, if the action is done, but the data, rhythm, and delivery are wrong, it will naturally be difficult to form an effective transformation in the end.

If you don't look at the overall process, it's easy to fall into a cycle of constantly adding actions without results.

There was a problem with the data source, and the traffic was not accurate enough from the beginning.

Telegram's private domain cannot be built. The most common reason is that the data quality is not good enough.

Many data sources are inherently mixed. For example, batch numbers contain unregistered users, low-active accounts, and even abnormal data. If this data enters the community directly, it will be difficult to generate interaction even if the number of people increases.

In addition, there is another type of problem that is the mismatch of the crowd. For example, the product is targeted at high-spending users, but the imported traffic is general traffic. This mismatch will directly affect conversions.

Therefore, traffic problems are often not"Not enough", but "the wrong person".

The customer acquisition action is too simple, only attracting people without layering.

Another common problem is equating customer acquisition with"Pull people into the group".

Many teams have only one core action: keep adding people. But after it was added, there was no further layering, and no different paths were designed for different users. The result is that all users are treated as the same type of person.

This method may be sustainable in the early stages, but as the number of people increases, it will soon become ineffective. Because different users have completely different activity levels, points of interest, and conversion paths, it will be difficult to continue operating without distinction.

Content and pacing are not designed around user states

Even if the data is okay, if the content and rhythm don't match, it will be difficult to do it.

For example, users who have just joined the group are not familiar with the content. If they push conversion information from the beginning, they will easily be lost. Old users will gradually lose interest if they keep seeing the basic content.

The problem with many communities is not that there is no content, but that the content is not designed for the user stage, resulting in an incoherent overall experience.

Why do more and more teams do screening first and then do private domain work?

As experience accumulates, more and more teams begin to prioritize screening.

EnteringBefore Telegram, it first tested the numbers to screen out unregistered users, and then filtered out low-active accounts to screen out users with real usage behavior. The users imported in this way have a certain basis for interaction.

In actual operations, many teams will use Digital Planet to screen numbers,Telegram activates detection and active user identification to filter out low-quality data in advance before entering the private domain operation process. The advantage of this is to improve data quality from the source rather than constantly remediating it later.

really putThe key to running Telegram’s private domain is not to attract more people

When you put these issues together, you will find a very core point:Telegram's private domain cannot be built not because of insufficient traffic, but because the data quality and operational structure have not laid a good foundation.

If the data itself is not active, no matter how many people there are, it will only"Numbers"; if there is no layering and rhythm, it will be difficult to sustain no matter how good the content is; if there is no pre-screening, every subsequent step will become more difficult.

The truly effective way is to screen people right from the beginning and then design the operation path around the user status. In this way, although it may seem slower in the early stage, the overall process will be more stable and it will be easier to form continuous conversions.

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