How does the Web3 project operate Telegram users? The crypto community needs more precise data management

对于Web3项目来说,社区人数只是表面指标,真正影响项目发展的,是有多少真实用户、有多少活跃成员、有多少愿意长期参与生态建设的人。

The number of Telegram users is growing rapidly, but truly valuable users are becoming increasingly difficult to find.

that's a lotWeb3 projects, blockchain communities, and overseas encryption projects will all encounter problems during their operations.

In the early stage of a project going online, a large amount of funds can be quickly accumulated through airdrop activities, community tasks, and cooperative promotions.Telegram member. The number of group members has grown from a few thousand to tens of thousands, and it seems that the community is very popular.

But after entering the project operation stage, many teams will find a practical problem:

After the announcement, there was very little interaction, and there were not enough people to sign up for the event. Community discussions increasingly relied on a small number of active users, and a large number of members just stayed in the group without making any actual contributions.

This does not necessarily mean that the project is not attractive enough;Telegram user data is not effectively managed.

forFor the Web3 project, the number of people in the community is only a superficial indicator. What really affects the development of the project is how many real users there are, how many active members there are, and how many people are willing to participate in ecological construction for a long time.

Telegram has become an important user portal for Web3 projects

existIn the Web3 industry, Telegram has always been a very important community operation tool.

Whether it is a blockchain project,DeFi platforms, NFT communities, or game projects, Telegram is responsible for user communication, announcements, community discussions, and event operations.

Compared with traditional social platforms,Telegram is more suitable for building high-frequency interactive communities.

Project parties can publish the latest news through groups, synchronize important information through channels, and complete some community management through robots.

but,As the Telegram community expands, the difficulty of user management will also increase.

Especially in the encryption industry, the sources of users are more complex.

Some users join the community because they care about the project.

Some users entered because of the airdrop event.

Some users are just there to collect rewards.

There are also some accounts that may be inactive for a long time, or even have no real participation in the activity.

If companies cannot distinguish between these users, it will be difficult to judge the true value of the community.

The biggest problem in the Web3 community is not that there are few users, but that we don’t know who the real users are.

Many project parties will pay great attention to the number of people in the community in the early growth stage.

How many new members are added every day.

How many joins did the event bring?

How much exposure does collaboration bring?

These data are of course important.

But after entering the long-term operation stage, the team needs to focus on more core issues:

Are these users real?

Are these users active?

Are these users from the target market?

Are these users worth ongoing maintenance?

For example, aThe Web3 project has 100,000 Telegram members.

If a large number of these accounts are just for participation in event rewards and do not continue to follow the project, then the actual value of this community may be far lower than what the data shows.

On the contrary, a community of only 10,000 people may have higher commercial value if users continue to participate in discussions, provide feedback on products, and participate in governance.

so,Web3 community operations are shifting from "growing the number of people" to "managing user quality".

Telegram user screening is becoming an important part of community operations

In the past, the operation methods of many projects were relatively simple.

Attract users to join the community through activities, and then continue to publish content.

But as the community grows, this becomes increasingly difficult.

Because operators cannot accurately understand their users.

For example, a large airdrop event brought 50,000Telegram user.

After the event is over, the project party needs to continue to maintain these users.

But if you don’t know which users actually exist and which users still useTelegram, which users are only short-term participants, then subsequent marketing and operations will be affected.

Therefore, more and more projects are now beginning to establish user screening processes.

Before users enter the operating system, sort out the data.

Confirm user status.

Analyze user sources.

Distinguish between different value groups.

In this way, subsequent community activities, product promotions, and user incentives will be more effective.

Why the crypto community needs user data management more

Compared with ordinary industries,The data management needs of Web3 projects are even more obvious.

The reason is that users move quickly.

A user may join dozens ofTelegram community.

An account may participate in multiple project activities.

If a project does not continuously analyze users, it will be difficult to determine who really cares about its own ecosystem.

Especially when the market changes rapidly, project parties need to understand the community situation more accurately.

For example:

Which users should be invited to test new products?

Which members should be prioritized for notification of core activities?

Which real participants should community governance target?

These questions all rely on a clearer data foundation.

Therefore, user data management has becomeImportant capabilities for Web3 community operations.

How Digital Planet HelpsWeb3 project organizes Telegram user data

for manyFor the Web3 team, the biggest problem is not that there are no users, but that user data is too scattered.

For example, a project may have multiple batches of user resources:

Airdrop activity list.

Collaborative community users.

Official website registered user.

Historical participating users.

If these data are not sorted out for a long time, it will be difficult to form an effective operating system.

Therefore, some project teams will go throughdigital planetPerform preliminary user data screening.

Digital Planet can help companies detect number status in batches and identify which numbers have been registered.Telegram, filters out valid Telegram user resources and filters out some invalid data.

For example, aThe Web3 project is preparing for a new round of community activities. It can first sort out historical user numbers, filter users who still have Telegram accounts through Digital Planet, and then classify them according to their source.

If the project also operates other overseas channels, the platform status associated with the number can also be further identified, such asWhatsApp, LINE, Facebook, etc., help teams develop different reach strategies.

For projects that need to operate global communities for a long time, this method of data organization can make the operation team more aware of their user structure.

Previously I was faced with a list of members.

What we are facing now are filtered real user resources.

The future competition in the Web3 community will focus on the quality of users rather than the number of people.

Now more and more projects are beginning to realize that community size does not directly represent project value.

What truly determines the vitality of a community is the degree of user participation.

a healthyThe Web3 community requires real users to participate in discussions, core members to continue interacting, and the operations team to understand user needs.

Therefore, future community operations will not just increase the number of members, but improve the quality of users.

The project party needs to know who is really concerned about the project, who is worthy of long-term maintenance, and who can become an important participant in ecological construction.

if you are doingTelegram user screening, Web3 community operation, Telegram number detection, encrypted user data sorting, overseas community promotion, international mobile phone number detectionFor other services, you can usedigital planetComplete early user data sorting.

passTelegram account detection, number status screening, and user classification management screen out more real and valuable community users, helping the Web3 project improve the efficiency of overseas community operations.

 

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