How to filter recent active users on Telegram? Don’t just look at account opening, focus on whether there have been real interactions recently

How to screen recent active users of Telegram? Many people tend to go astray in the first step: when they see that the number has been activated on Telegram, they directly classify it as an active user. In fact, the existence of an account, recent use, and recent business interactions are three completely different things. An account may have always existed, but has not had any contact with your business for half a year; another user does not use Telegram frequently, but just submitted a product inquiry yesterday. If you really have to decide who to contact for sales first, the latter will be more valuable.

soTelegram’s recent active filtering cannot only focus on the account status. A more practical method of judgment is to first sort out the numbers that have opened Telegram, and then superimpose real business records such as recent inquiries, replies, forms, customer service communications, and orders. Activity is not an isolated label, but whether there have been recent actions worth following up on.

Telegram has been activated, which only means that you have an account basis

Let’s first clarify the most basic layer.

The number has been activatedTelegram means that this number has a Telegram account base and can be used as a reference for subsequent communication channel judgments.

But this does not mean that the user is online today.

Doesn't mean recentlyUsed for 7 days.

It doesn’t even mean they are interested in your product.

For example, among a batch of historical customer numbers, there are20,000 people have opened Telegram. Some of them may use it every day, some may not use it for several months, and some may just keep their accounts.

If thisAll 20,000 people are called recent active users. After receiving the sales, I still don’t know who to contact first.

Therefore, the first step can only be called account screening, not active customer screening directly.

What’s really worth looking at is whether there have been any recent business moves.

If Telegram's recent active users are used for customer development, the most valuable reference is usually not the online status of the platform, but whether the user has recently been in contact with the business.

For example:

Recently submitted product inquiry;

Recently responded to a sales message;

Just applied for trial or quotation;

Participate in recent events and continue to consult;

Old customers have renewed purchasing needs;

There have been recent orders, after-sales or customer service interactions.

These behaviors are more meaningful than simply seeing the existence of an account.

Because they directly tell sales: This person has been responsive to business recently.

Both users are enabledTelegram, priorities may be completely different

Give a very simple example.

User A has opened Telegram and his account has always existed, but the last time the company communicated with him was 8 months ago, and there has been no new inquiry since then.

User B has also opened Telegram, but just submitted a quotation request through the official website yesterday.

If you only look atThe Telegram account status of the two people is almost the same.

If we look at business behavior,B should obviously follow first.

This is why recent active users cannot be judged by just one platform tag.

Sales are not looking for anyone"There is Telegram", but who is "worth contacting now".

Digital planet firstFilter out Telegram accounts at this level

If you already have a batch of overseas numbers accumulated through normal business channels, you can do basic sorting first.

For example, unify the international number format, eliminate duplicate data, and then use Digital Planet to filter which numbers have been activatedTelegram and continue sorting by country or data batch.

Assume that there is50,000 numbers.

Remaining after deduplication and formatting43,000 items.

Filter out theTelegram has opened 26,000 messages.

After this step is completed, only this26,000 people have Telegram account base.

Next, they need to be merged with the company's own customer data, such as:

Last consultation time;

Last reply time;

The most recent order;

Customer source;

Pay attention to products;

Current sales status.

In this way, we can continue to judge who is worthy of following up in the near future.

Digital Planet is responsible for number sorting andTelegram activation status and recent activity need to be judged based on real business behavior.

How can we divide 7 days, 30 days and 90 days?

There is no fixed answer to how long it will be in the near future.

If it is a short-cycle product, you can pay more attention to the recent7 days.

For example, in advertising forms, event consultations, and low-customer products, customer interest comes and goes away quickly.

in the case ofB2B, software, machinery and equipment, wholesale procurement, you can look at 30 days or even 90 days.

Because such customers may compare prices, hold meetings, and confirm budgets, and they will not make a decision within a week.

It can be simply made into three layers:

recentIf there are any business actions within 7 days, priority will be given to them.

recentThere will be communication records for 30 days and normal follow-up.

Longer periods without any interaction lower the priority.

There is no need to be rigid about the time window, just follow your own trading cycle.

If you have replied once recently, it does not necessarily mean that you have a high intention.

Activity and high intention should also be separated.

A customer replied yesterday"Not needed at the moment" does mean there has been recent interaction, but it is obviously not a high-priority sales opportunity.

Another customer proactively asked about price, quantity and delivery time three days ago, and the value was completely different.

Therefore, after recently active screening, you still need to look at interactive content.

If it is just a general reply, you can leave it as a general follow-up.

If you have already asked about price, purchase, trial, and delivery, the priority increases.

If it is clear that there is no need for the time being, reduce the frequency of contact.

Selling this way will not"Recently there has been a reply" is mechanically understood as "a transaction will be completed soon".

Telegram online status should not be used as the only basis for judgment.

Telegram's online and last online information will be affected by user privacy settings, and not all accounts can fully see it.

Therefore, it is not suitable to rely solely on an online tag to find active users.

It cannot be directly judged that a user has been offline for a long time just because the last online time has not been disclosed.

The truly stable data still comes from the company’s own interaction records.

For example, when was the last valid reply in the chat history, when did the customer submit an inquiry, and when did he re-enter customer service.

This information is in your own business system, and it is easier to correspond to sales results.

Recently active customers can be further divided into three categories

If the list is relatively large, you can continue to do simple layering.

The first category is high recent intention.

Recently, I have taken the initiative to make inquiries, inquire about prices, inquire about delivery, apply for trial, or clearly have purchasing needs.

This batch will be given priority for sale.

The second category is recent ordinary interactions.

I have recently responded, participated in events, and viewed product information, but the demand is not yet clear.

This batch is followed up normally.

The third category is that the account exists, but there has been no recent business action.

This batch will be placed in the general maintenance or historical customer pool first, and do not occupy the top list of sales.

This division is simpler than"Online/offline" is closer to real business.

If an old customer takes action again, he should be brought back to the front immediately.

Telegram client status is not fixed.

A customer may not reply for half a year, but then suddenly calls again.

At this time, we cannot continue to put him in the long-term silence pool.

For example, I purchased a product before and recently asked about the new version;

In the past, the transaction was not completed due to budget, but now we are re-inquiring;

I had only participated in events before, but this time I started to take the initiative to ask about products.

These behaviors should be re-prioritized as soon as they appear.

Conversely, a customer who was very active in the past can also slowly lower his level if there is no new action for a long time.

The customer pool should change with behavior, rather than being tagged once and then never moving.

The ultimate goal of active screening is to let sales find people worth talking to first

If after filtering in the end there is just one more column"Telegram is active", but sales still don't know who to contact first, so this screening is of little significance.

A truly useful customer table can at least retain:

nation

Phone number

Telegram activation status

Customer source

Last interaction time

Most recent interaction

Follow products

Current priority

After opening the sales list, you should be able to see directly:

Who just made an inquiry;

Who just replied;

Who is still in the quoting stage;

Who has been silent for a long time.

Only in this way can the screening results be truly used in customer development.

When filtering recent active users on Telegram, the most common mistake is to directly regard account opening as active.A safer approach is to first use Digital Planet toThe basics of Telegram accounts are clearly organized, and then combined with real business records such as recent inquiries, replies, and orders to determine priorities. The existence of an account is only the starting point. Whether there has been real interaction recently will determine whether it is worth contacting you first.

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