Customize the generated Telegram number. Do you want to continue to detect it after generating it?

DoWhen testing Telegram data, organizing number rules, or processing number formats in different countries, we often encounter the need to customize Telegram numbers. For example, first select the country, international area code and number of numbers, generate a batch of test data that conforms to the local number format, and then use it for system verification, table sorting or subsequent testing. The most easily misunderstood point here is that the generated numbers are combinations of numbers, which does not mean that these numbers actually exist, nor does it mean that they have registered with Telegram, nor can they be directly regarded as Telegram customers. Number generation and Telegram activation detection are inherently two different links.

If the purpose is to doFor Telegram customer development, data with real business value should come from normal channels such as user active submission, historical inquiries, official website registration, event registration, etc. Custom number generation is more suitable for testing, format verification, system joint debugging and other scenarios. If you already have a legitimately obtained real customer number, then using Telegram number detection to determine the activation status will be more practical than simply generating a large number of numbers.

To customize the number generation, the first step is to determine the number rules

The format of mobile phone numbers in different countries is not exactly the same.

Markets such as the United States, the United Kingdom, France, Thailand, and Indonesia all have their own international area codes and local number structures. Therefore, when generating international numbers, the country is usually determined first, and then the numbers are organized according to the corresponding format.

For example, if you want to test the number import function of a certain country, you can first generate a batch of data that conforms to the basic format to check whether the system can correctly identify the country area code, number length, and field structure.

This step is more like preparing the data.

What it solves is what format of numbers should be placed in the table, rather than determining whether there is a real user behind the number.

If just for testingIt is more convenient to use Telegram screening system, number cleaning tool or data import process to generate data, and there is no need to repeatedly test with real user contact information.

The generated number is not equal to the real mobile phone number

This is the most important point in the entire process.

Generating a string of numbers according to the rules of a certain country can only mean that it looks like it conforms to a certain format.

There may be unassigned numbers, or there may be numbers that are formatted well but do not exist in reality. Even if the number does exist, it is impossible to know who the number currently belongs to and whether it is registered based on the generation process alone.Telegram.

Therefore, after the number generation is completed, the result cannot be directly marked asTelegram user.

If the system generates once100,000 numbers. These 100,000 numbers can only be considered a data pool to be processed. They do not represent 100,000 Telegram accounts, nor do they represent 100,000 potential customers.

Mixing number generation and customer acquisition can easily distort all subsequent data judgments.

Why do people continue to do it after it is generated?Telegram detection

becauseTelegram activation detection solves another problem.

Number generation is responsible for preparing number data,Telegram detection is to check whether the existing number has the corresponding platform account foundation.

For example, when generating a batch of numbers in different country formats in the test environment, you can first check whether the system can read them correctly; if the company also has real customer numbers accumulated through normal business channels, this batch of real data can be processed separatelyTelegram enables screening.

This way the two scenes won't be confused.

One for testing the number structure and one for collating real customer data.

If it is practicalWhen acquiring overseas customers for Telegram, it is recommended to focus on data from real business sources, because only by knowing why the customer left their contact information can the salesperson later know why they contacted the other party.

Generating first and then testing does not mean that you can directly get accurate customers.

This is easily overlooked.

Even if a number is tested and confirmed to be registeredTelegram can only mean that this number has the basis of a Telegram account.

Precise customers also need more conditions.

For example, if a company makes industrial equipment, its target customers may be purchasing personnel in the manufacturing industry; if it makes software, it needs to find company users who really have relevant needs;The Web3 project may pay more attention to people who have participated in events or actively consulted about products.

None of these conditions are achieved through random number generation.

so,Telegram number screening can solve the problem of platform status, but customer accuracy still depends on the source, industry, region, product demand and actual business behavior.

If a number does not have any source background, it only knows that it is activatedTelegram’s marketing value is still limited.

Digital planet can be placed on number sorting andTelegram detection link

If you need to process number data from different countries, you can first organize the number format according to the target market, and then complete subsequent number screening through Digital Planet.

For test data, you can first verify whether the number import, deduplication, and country classification are normal.

For real customer numbers that have been legally obtained by the enterprise, they can be processed through Digital PlanetTelegram has launched a test, and the users who have registered with Telegram are sorted out separately, and then continue to be classified according to country and customer source.

For example, if an enterprise originally has a batch of French numbers from official website inquiries and advertising forms, it can first unify the international number format, remove duplicate data, and then filter out the ones that have been subscribed.Telegram users.

After that, you can continue to divide it into different lists such as French official website inquiry customers, French advertising form users, French historical customers, etc.

What you get from this kind of sales is not a random batch.Telegram numbers are a batch of data that has a source, a business background, and has been confirmed to have the basis for Telegram communication.

This is closer to the actual customer acquisition usage scenario.

What purposes is custom number generation more suitable for?

The most common is system testing.

For example, when developing a number screening tool, you need to test the number formats of different countries such as the United States, the United Kingdom, Japan, France, etc. You can first run it through the generated data to check the import, recognition, deduplication and export functions.

The second is table template testing.

The team is going to design a new customer data table. They can first put in the test number to confirm whether there are any problems with the country, international area code, mobile phone number and platform status fields.

The third type isJoint debugging of API or number processing process.

If the system needs to connect to the number detection interface later, you can also use test data to confirm whether the process can run normally, and then switch to the company's own real business data.

These uses are more suitable for number generation.

If the goal becomes actual customer development, you shouldn’t just rely on generating numbers, but go back to real customer leads with a clear source.

for realIt is best to have a source for Telegram number data first

DoWhen Telegram acquires overseas customers, the source of data is often more important than the number of numbers.

For example, if a user submits their contact information through the official website and actively inquires about the product, even if there is only one number, it is more valuable than a large number of randomly generated numbers.

Users participating in online activities, applying for product trials, and filling out advertising forms can also provide a relatively clear contact background.

This data entersAfter Telegram filters, sales at least know why the user appears on the list.

If it is detected that it has been activatedTelegram, you can use Telegram as one of the possible communication channels; if it is not activated, you can also use email, WhatsApp or other contact methods of your choice first.

If the source of the number is clear, subsequent sales communications will be easier to follow.

After the Telegram number is generated, it must be deduplicated and organized first.

If test data is generated, deduplication is mainly used to check system capabilities.

If you are dealing with real customer numbers, deduplication is even more important.

The same customer may appear repeatedly on the official website, advertising forms and historical orders. If you don’t sort it out first, follow upTelegram detection may handle the same number repeatedly, and sales may contact the same person multiple times.

A smoother process could be:

Uniform number format → Duplicate data cleaning → Country classification → Telegram activation detection → Continue grouping by customer source.

If it is a test scenario, add the number generation step in front.

The whole process becomes:

Custom number generation → Format check → Duplication removal test → Telegram detection process test.

The real customer acquisition data does not need to start with generating numbers, but directly enters the subsequent cleaning and testing from the customer information that the company has already obtained.

detectedAfter creating a Telegram account, the next step is to check the customer background.

Assume that after a batch of real customer numbers are screened by Digital Planet, there are5,000 messages have been opened on Telegram.

Next, we can’t just put thisAll 5,000 pieces will be given to sales.

You should also continue to look at which ones come from official website inquiries, which ones come from event registrations, which ones are historical customers, and which ones have consulted about specific products.

For example1,000 numbers come from active inquiries, so the priority can be higher; 2,000 numbers are just ordinary registrations, and further demand judgment can be made first; historical customers can be rearranged according to previous orders and communication records.

soTelegram number detection really enters the sales process.

The platform status only helps to clarify the communication channels, and the customer background determines who sales will contact first.

Custom generationTelegram numbers and actual customer acquisitions should be used separately

Number generation is convenient, but convenience does not mean it can replace the source of customers.

When doing system testing, number format verification, and batch import debugging, custom-generated numbers are very practical; when doing realWhen developing Telegram customers, it should still focus on data actively submitted by users and accumulated through normal business.

Digital Planet can be used for subsequent number sorting,Telegram enables filtering and classification to further organize real customer data into lists that are more convenient for sales.

In this way, the purpose of each link is relatively clear:

Generate numbers for testing data structures;

Number detection is used to determine the status of the platform;

Customer source is used to confirm contact background;

Sales communication is used to determine real demand.

Custom generationTelegram numbers can continue to be tested in the future, but passing the test only means that the number has the foundation of a Telegram account. Customer data that can truly be used to acquire customers must have clear sources and real business relationships.

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