Telegram has more and more automated accounts. How to identify normal users and operate accounts in batches?

do it nowFor Telegram customer screening, it is no longer enough to just look at whether the account has been opened. Telegram already has a large number of Bots, customer service robots, channel management accounts, project operation accounts and various automatic reply tools. Just because an account exists normally and can receive messages does not mean that there must be an ordinary individual user behind it. For those who do overseas customer development, the real trouble is not the automated accounts themselves, but the mixing of these accounts with ordinary potential customers in the same sales list. In the end, the sales took half a day, but what we talked about were robots, customer service portals, or accounts specially used for batch operations.

soTelegram’s automated account identification is more suitable for solving a very practical problem: which accounts are suitable for entering the real customer pool, which ones should be marked separately, and which ones are temporarily unclear and need to be continuously observed. There is no need to regard all automated accounts as bad accounts, nor can we directly judge that there is a real person behind the account just because the account responds quickly.

There are actually many types of automated accounts in Telegram

mentionedTelegram automated accounts, many people’s first reaction is Bot.

The scope is actually wider.

Some are official bots used to check orders, send notifications, or handle simple customer service issues.

Some of them are corporate customer service accounts. The system will automatically respond to the first few rounds, and then manually reply later.

Some are channel or community management accounts, mainly responsible for welcoming new people, sending rules, and processing keywords.

There are also some accounts that have been operated with fixed content and fixed processes for a long time. They look like ordinary accounts, but the actual communication is highly automated.

These accounts have different purposes and cannot be handled in the same way.

For example, the official customer service robot itself is completely normal, but it is not the personal customer you want to develop.

so doWhen screening Telegram accounts, don’t simply divide them into “real people” and “abnormals.”

A more practical classification should be:

Ordinary individual users;

clearBot;

Enterprise customer service or service account;

Operational account;

Unable to judge at the moment.

This will make it easier to handle later.

The most direct category is clearly markedBot

Many bot accounts in Telegram themselves have relatively clear Bot attributes.

This type of account is usually used for automatic replies, command operations, information query, group management or service reminders.

If the goal is to find ordinary customers, this kind of account can be marked separately without having to be handed over to sales for further follow-up.

But don't putBot understands it as having no value.

If the company operates its ownTelegram and Bot may be important tools for customer service, order notification, and community management.

So identifyThe purpose of the bot is not to delete it, but not to count it in the number of real potential customers.

If there is a customer listThere are 10,000 Telegram accounts, 1,000 of which are actually robots or service accounts, so the base number that can really continue to do crowd analysis is not 10,000.

Separate this step first, and the subsequent data will be much more realistic.

The reply is very fast, but it doesn’t mean it must be a robot.

This is a place where it’s easy to misjudge.

Some people immediately assume that the account is an automated account when they see it reply within seconds.

Not necessarily.

The customer service staff may happen to be online;

Sales may use quick replies;

An enterprise may set up some automatic greetings and then manually take over;

Ordinary users may also just see the message.

So alone"Response speed" cannot be used as a basis for judgment.

What is really more valuable is the continuous interaction mode.

If you receive different questions every time, the account still only returns the exact same fixed content, and does not change according to the context for a long time, it will be more like an automatic reply process.

But if there is a fixed welcome message at the front and specific product questions can be answered normally at the back, it may be a combination of automated customer service + manual service.

Don't draw conclusions based on just one phenomenon.

There are many fixed templates, which may not mean invalid accounts.

Batch operation accounts usually use a large number of templates.

For example, fixed welcome words, fixed introductions, unified links, and repeated product content.

But salespeople and customer service accounts will also use standard speech.

Therefore, templating can only be regarded as a reference signal.

What's more important is whether it has real contextual capabilities.

For example, if you askProduct A, but the other party continuously replies with fixed content that has nothing to do with product B;

After changing the question, you still return to the same paragraph;

After many communications, it was impossible to continue based on the previous text.

This type of account may be more automated.

On the other hand, if you use a template to start, but can communicate normally on specific issues later, it cannot be simply classified as a robot.

Telegram’s automated account identification is best based on multiple signal combinations rather than just one sentence.

The company’s own historical chat records are actually very valuable

If this batchThe Telegram account has already communicated with the company before, so the judgment will be much easier.

You can look back at history.

Have you ever really asked about the price?

Are there any consultation specifications?

Whether delivery has been repeatedly confirmed;

Is there any manual back-and-forth discussion;

Are there any orders, after-sales or other business actions?

If an account has chatted with sales about specific projects in the past, or even completed orders, then it’s not that important whether it uses partial autoresponders.

Because a real business relationship already exists.

On the other hand, if an account only sends the same content repeatedly for several years and never has any normal business conversations, it should not continue to be placed in the priority pool of live prospects.

Therefore, when actually doing customer screening, the company's own historical interaction data is often more valuable than superficial account characteristics.

Digital Planet is suitable for firstTelegram account basics sorted out

If the company already has a batch of overseas numbers with clear sources, it can sort them out at the number level first.

For example, unify the international number format;

Clear duplicate numbers;

Classified by country;

Use Digital Planet to filter which numbers have been activatedTelegram.

Solve this step first"Do you have a Telegram account foundation?"

After completion, combine the account with the company's existing chat records, customer sources, and business tags.

For example, it can be organized into:

USATelegram has been opened + official website inquiry + historical manual communication

France +Telegram has been opened + customer service account features are obvious

Thailand+Telegram has been activated + there are many automatic replies + no real business interaction yet

Germany +Telegram has been activated + historical order customers

In this way, the follow-up will not be a simple look."Telegram has an account", but continues to determine what type this account belongs to.

Digital Planet is responsible for the basic status of the number and platform, and the automated attributes are more suitable for combining public account information,Bot logo and the company's own historical interactions to judge.

There are more and more automated accounts, and the account type field needs to be added to the customer pool.

Previously the customer table might only have:

nation;

Phone number;

Telegram status;

Customer source.

Now ifTelegram is the main customer acquisition channel, and you can add an account type field.

For example:

Ordinary user

Bot

Customer service account

Operation account

To be confirmed

This will make it much easier for sales to allocate customers.

Ordinary users enter the normal sales process.

clearBots do not need to be treated as human clues.

If the customer service account corresponds to a certain company, it can be retained as a corporate contact channel.

Operation accounts can determine whether there is any value for cooperation based on business conditions.

The account to be confirmed will be placed in the observation pool first, so there is no need to invest a lot of sales time immediately.

This classification is more practical than simple deletion.

The biggest difference between batch operation accounts and ordinary customers lies in the business purpose

When actually doing the screening, don’t be too obsessed with"Technically not automated".

What's more worth judging is whether this account has a real relationship with your business.

a corporate officialTelegram accounts may be highly automated, but if you do B2B cooperation, it may be a valuable entry point.

An account that looks like a real person, if it has nothing to do with the product, should not naturally enter the high-priority customer pool just because of chatting.

So in the end we have to return to a few practical issues:

Where did this account come from?

Are there any proactive business actions?

Do you have clear product interest?

Is there any real human interaction?

Is it a business, robot or service portal?

Is there a reason for sales to follow up?

These issues are more important than simply pursuing recognition accuracy.

If you are unsure about the account, don’t make a hard judgment.

Sometimes it is difficult to determine the Telegram account type clearly at once.

Especially some corporate accounts have both automatic replies and manual customer service.

Some personal accounts may also use automated tools to process some messages.

You can totally keep it at this time"To be confirmed".

There is no need to forcefully label each account as a real person or a bot in order to make the data table look neat.

If new interactions appear later, we will update again.

For example:

For the first time, there is only a fixed welcome message, which will be left pending confirmation;

Later, manual communication started and changed to a normal customer;

Later it was confirmed that it was official customer serviceBot, and then return to the service account.

Customer data should be dynamically updated rather than permanently finalized once detected.

Identifying automated accounts can really save sales time

Assume a batchThere are 30,000 accounts in the Telegram list.

If no classification is made, sales may be attempted one by one.

Among them are officialBots, customer service portals, operating accounts, and data that have not had real interactions for a long time.

In the end, a lot of time is spent, and only part of it may actually enter into normal sales communication.

If we first put the obviousSeparate the Bot and service accounts, and put the accounts with real inquiries, orders, and manual communication in the history, and the sales efficiency will be much higher.

This is the greatest value of automated account identification.

Not to put a mysterious label on each account, but to reduce sales of meaningless temptations.

Automation accounts can also be retained and do not have to be deleted.

If the company itself wants to cooperate with channels, some operating accounts may be valuable.

If you need to contact the customer service of a certain platform, project or company, the service account is also worth keeping.

Bot accounts can access specialized tool or service account libraries.

Ordinary individual users enter the customer pool.

It is more reasonable to put different accounts in different places than to delete them across the board.

When you need to find a cooperation portal, official customer service or group management account in the future, the data compiled before can still be used.

After Telegram customer screening, it is best to form three-tier results

If you want sales to use it directly, you can do it very simply.

The first level: real business customers.

There are already real inquiries, responses, orders or manual communication records.

Second level: The account exists, but the type needs to be confirmed.

There is currently not enough information to determine whether it is an ordinary user.

Level 3: ClarityBot, automated customer service or service account.

It does not enter the general sales pool and is kept separately according to actual use.

In this way, sales mainly deal with the first level every day.

The second level will have time to confirm again.

At the third level, don’t repeatedly try to develop as an ordinary customer.

The list will soon become clearer.

The increasing number of Telegram automated accounts does not mean that it is becoming more and more difficult to be a Telegram customer, but that the previous screening method of only looking at account opening is no longer sufficient. Whether the number has Telegram is only the first layer; whether the account is a real customer, a bot, a customer service account, or an operating account still needs to be determined based on public identification and real interaction records.

Those who can reply automatically are not necessarily worthless, and those who can chat normally are not necessarily target customers. What really needs to be separated from the sales pool are those accounts that do not match the current customer development purpose.Those who reply to messages on Telegram may not always be customers. Sometimes the other person may just be a robot who writes very diligently.

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