How to filter Indian Telegram user data? Active accounts, male users, and mature users should be run separately

IndiaTelegram users have grown very rapidly in recent years, especially in the fields of currency circle, tool products, community projects, AI software, financial information and cross-border services. Telegram has slowly transformed from a simple chat tool into a long-term operation portal. Precisely because the number of users is increasing, the real difficulty now is not “finding Telegram users”, but “finding what kind of Telegram users”.

Because the same group of IndiansTelegram data, the gap in user quality will be very obvious.

Some people are online for a long time, and some people have only registered; some people will continue to interact, and some people are silent for a long time after joining the group; and some users are more suitable to enter the high-conversion private domain.

So now more and more people are beginning toTelegram users run separately rather than unified operations.

why indiaTelegram users cannot operate uniformly

The Indian market itself has a large user base, but the user structure will also be very complex.

For example:

lYoung general traffic users

lLong term active users

lMature consumer users

lHighly interactive social users

lTool product users

The operational logic behind these users is completely different.

If all are unified in mass messaging, unified group pulling, and unified customer service, the most direct question is:

lThe response rate is getting lower and lower

lThe community is becoming increasingly silent

lCustomer service is getting tired

lHigh-quality users are diluted by widespread traffic

Many projects only discover later that they are really slow.What Telegram operates is not necessarily traffic, but a chaotic user structure.

Why active accounts must be screened separately

Now there are manyAlthough the Telegram account exists, it has been offline for a long time.

Especially:

lShort-term registered users

lwool account

lTemporary community user

lLong-term silent account

After these users enter the system, they will continue to lower the overall interaction rate.

So now more and more people are starting to screen active status first.

Because long-term active users are usually accompanied by:

lMore stable online behavior

lMore consistent frequency of interactions

lLonger term community engagement

lHigher back-end conversion probability

truly valuableFor Telegram users, in many cases it’s not that “the account exists” but that “the account is still being used.”

Why are male users often stratified separately?

Telegram has a higher proportion of male users in many industries.

For example:

lcurrency circle

lAI tools

lfinancial information

lgame

lTechnology products

In these areas, male users are usually more active.

Therefore, many projects now screen male users separately, and then continue to stratify them based on their active status.

Because compared to general traffic, the back-end value of male highly active users in certain industries will be more stable.

Especially:

lLong-term community operation

lfinancial advice

lTool products

lAI service

In these scenarios, long-term online male users are usually more likely to form continuous interactions.

Of course, this does not mean that female users have no value, but that the user structure of different projects is different.

Why mature users are attracting more and more attention

There used to be a lotThe Telegram project likes to pursue "young traffic", but now more and more people have begun to find that mature users tend to be more stable.

For example:

lMore permanent online

lMore continuous interaction

lEasier to pay

lMore suitable for long-term private domain

Especially for high-customer single projects, tool products and long-term membership systems, mature users are usually more likely to settle in the long term than young traffic.

So now many projects have started:

Screen age group first;

Rescreen active status;

Finally, enter the community and private domain.

In this way, the quality of subsequent users will be significantly more stable.

WhyTelegram operations increasingly rely on "combination tags"

Many projects in the past preferred"Hundred thinking".

attract more people;

Make more groups;

Run more traffic.

But now more and more people have begun to realize that the truly stable community is usually not the one with the largest number of people, but the one with the highest proportion of high-quality users.

So now more and more people are starting to do:

India+ Telegram + Male + High Activity;

India+ Mature users + Long-term online;

India+ Tool-like interest + High interaction.

With this combination of tags, the subsequent operational value will be significantly higher.

Because the user structure will be clearer, subsequent mass messaging, customer service, and communities will also be easier to operate accurately.

Front-end data filtering will directly affect the quality of the back-end community

a lot ofTelegram projects will encounter the same problem later:

The crowd was large but growing quieter.

Many times the problem is not the content, but that the front-end data is not filtered cleanly.

For example:

lLong-term silent account

lLow active users

lAbnormal account

lShort-term registration traffic

After these users enter the community in large numbers, the interaction will become worse and worse.

So now more and more people have started:

Screen users first;

further layering;

Finally, join the group and chat privately.

In this way, the quality of the subsequent community will be much more stable.

Currently many long-term runnersTelegram’s private domain projects will first conduct basic screening through global number and account detection tools, filter out empty accounts, abnormal accounts, and low-active users in advance, and then further stratify them based on male tags, age groups, and active status.

IndiaTelegram’s operations will increasingly favor “high-quality users” in the future

There used to be a lotThe Telegram project is more like competing for the number of people. But now more and more people have begun to realize that real and stable growth actually comes from high-quality users.

futureTelegram user screening will become more and more biased toward:

lActive user identification

llong-term behavioral analysis

lMale user stratification

lMature user screening

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