What is tg US data? 20 Most Frequently Asked Questions: Acquisition, Screening, Pricing and Compliance Answered

Q: Q: What fields do tg US data usually contain?

Answer: The basic fields include whether the number has Telegram, whether it is active (the last 7 days/30 days/90 days can be specified), gender (male/female/unknown), age (approximate value), tgid, etc. Different platforms have different detection types, and the results exported from the console shall prevail.

Q: Question: How to obtain a large amount of US Telegram account data?

Answer: You can first use "Global Number Generation" to generate US numbers for 240+ countries for free through number screening platforms such as KK-DATA, and then submit the Telegram number screening task (activation + active + gender), and the fee will be deducted per item. Generating is free, screening is charged.

Q: Question: How much does it cost to screen tens of thousands of tg US data?

Answer: The cost depends on the test type you choose (such as activated only vs activated + active + gender) and the actual number of screening items. The unit price is different on different platforms. Please log in to the console to view the real-time price. The estimated cost will be displayed before the task is submitted.

Q: Q: Is the age field in tg US data accurate? Can it be accurate to about 30 years old?

Answer: The age field comes from the gender detection model and is a model-derived value, not an ID card-level accuracy. It can be used to analyze the proportion of people around 30 years old, but it cannot be used as a precise filter. It is recommended to make a comprehensive judgment based on fields such as activity level and gender.

Q: Question: Is it legal to use tg US data for private message promotion?

Answer: It depends on your promotion method. If the user has authorized it or you have a reasonable and legitimate basis, and you follow Telegram's anti-spam policy (such as not harassing in bulk and providing an unsubscribe method), it may be compliant. Sending marketing information to users who have not consented without authorization violates the U.S. CAN-SPAM Act and Telegram's terms and may result in account suspension or legal risks. It is recommended to consult legal counsel first.

#tgWhat is the US data? 20 Most Frequently Asked Questions: Acquisition, Screening, Pricing and Compliance Answered

Overseas marketers and cross-border e-commerce operators often hear the demand for “tg US data” (Telegram US number data) when doing Telegram private message promotion and community traffic. To put it simply, tg US data is user data that has been registered on the Telegram platform and whose numbers belong to the US area code. It is not just a list of mobile phone numbers, but also includes key filtering fields such as whether the user is online, activity range, gender, age, etc.

The first reaction of many teams is “Can’t I just buy a batch of US mobile phone numbers?” But you have no idea whether the number you bought has Telegram activated, whether it is active, whether it is a male or a female, whether it is a real person or a machine number. If you use these numbers to send messages directly, you may waste a lot of money or even get your account blocked. This article will use 20 real questions to help you understand the acquisition, screening, cost, and compliance of TG US data at once.

What is tg US data? What information does TG US number data contain?

tg US data (Telegram US data) refers to the US area code user data that has subscribed to Telegram obtained after verification by the number detection tool. Core fields include:

Number status: Whether Telegram is activated (registration test)
Activity: Whether there are online records in the last 7 days/30 days/90 days
Gender: Male/Female/Unknown (model identification)
Age (approximate value): An incidental field in gender detection, which can help determine people aged 20-30, 30-40, etc.
tgid: Telegram user’s unique ID, used for precise targeting or exclusion

These fields are the export results you see in the background, not assumptions. The fields provided by different screen number platforms are slightly different, and the actual export from the tool console shall prevail.

What is the difference between tg US data and ordinary US mobile phone numbers?

An ordinary U.S. mobile phone number is just a number, and it is impossible to determine whether it is associated with Telegram and whether it is used daily by users. The tg US data is a “screened and verified” number, which at least guarantees:

The user has indeed registered for Telegram (activation detection)
The user has logged in recently (active detection)
The gender or age group you are looking for (gender/age detection)

Let’s take a scenario: You spend 1,000 yuan to buy 10,000 random American mobile phone numbers, and then send messages in batches. As a result, 7,000 of them have not registered for Telegram at all, and half of the remaining 3,000 are zombie accounts that have not been online for half a year. The actual effective reach rate is less than 15%. tg US data is here to avoid this waste.

What fields (activity, gender, age) are typically included in US TG data?

Field overview

On screen number platforms such as KK-DATA, a complete US TG screen number task will usually return the following fields (subject to the console export results):

Mobile phone number: The original number detected
tg activation (yes/no): whether Telegram is registered
tg active (yes/no/number of days): You can specify the last 7 days/30 days/90 days
Gender: Male, Female, Unknown
Age (approximate value): such as 25–30, 31–40, etc. (non-ID card accuracy)
tgid: unique user ID

Don’t assume that “the age field can be accurate to 30 years old”. It is based on the age interval calculated by the model, which is sufficient for crowd analysis, but cannot be used for extremely demanding targeting.

How to get or filter US tg data? What are some common methods?

Operating an American TG community requires regular supplementation of active user data. There are three main ways to obtain them. The advantages and disadvantages are explained one by one below.

Method 1: Build your own crawler or script (high cost and high risk)

Some technical teams will write their own scripts to detect the number status through Telegram API or simulated login.

Cost: It requires developers, server IP pool, Telegram account pool, and operation and maintenance costs of at least several thousand yuan per month.
Risk: Telegram has strict restrictions on abnormal requests, and self-built scripts can easily be blocked and IPs blocked.
Efficiency: Fragmentation detection, unable to batch process hundreds of thousands of tasks.

Conclusion: Except for the leading manufacturers, it is not recommended for ordinary teams.

Method 2: Purchase a ready-made data list (the quality is uncontrollable and the repetition rate is high)

On Taobao and various Telegram trading groups, people often sell “US TG active user data” at a very low price, tens of yuan per 10,000 items.

Question 1: The data may be from a few years ago, and the numbers may have expired or been canceled.
Problem 2: The same list has been resold many times, and your competitors are also using it, so there is no way to differentiate.
Question 3: It is impossible to determine whether the data source is compliant. If it contains privacy leakage, you will be at legal risk when using it.

Conclusion: Buying ready-made lists is not recommended.

Method 3: Use KK-DATA and other number screening platforms (recommended): first generate the number → then filter Telegram activation/active/gender → export

This is currently the most efficient method, especially suitable for teams that require customizable filter conditions. The process is as follows:

Generate numbers (free): Select “United States” on the platform to generate a large number of random US numbers (covering number segments in 240+ countries/regions), or import your own number CSV.
Submit screening task: Select detection type→Telegram activation, active (specify 7/30/90 days), gender (including age field). The system will automatically detect it.
Wait for results and export: After the task is completed, the platform will automatically deduct fees (based on the number of tests), and you can export the data in CSV or TXT format.
Data deduplication: The platform has a built-in cross-task deduplication warehouse to ensure that the same number will not be detected repeatedly and avoid wasting balances.

Method	Cost	Quality Controllability	Efficiency	Compliance Risk
Self-built crawler	High (development + operation and maintenance)	Medium (restricted by IP)	Low	Medium
Buy ready-made data	Low (low unit price)	Very low	Very low	High
Screen number platform (KK-DATA)	Pay per item, no package	High (customizable detection type)	High (up to millions at a time)	Relatively controllable

tg How much does US data cost? Is billing by item cost-effective?

Many people are asking “How much does a piece of TG US data cost?” This question itself needs to be dismantled.

tg US data does not have a fixed unit price. Because the cost of screening depends on which test types you choose:

Only detect “whether Telegram is activated” → lowest unit price
Detect “activated + active (last 7 days) + gender/age” at the same time → the unit price will be higher (because multiple queries are involved)
The unit prices of all platforms (TG, WA, Line, etc.) are different, and the unit prices of different detection types are also different.

KK-DATA adopts a pay-by-item, non-subscription package model, you pay for what you use. The estimated cost will be displayed before the task is submitted, and you do not need to pay the monthly fee in advance.

Transparent billing

Don’t worry about hidden fees. After logging in to the console, you can check the real-time unit price of each platform at any time. Before submitting the task, the balance to be deducted for this task will be clearly displayed.

So if you only need 5,000 pieces of US TG active data, you will only pay the detection fee for 5,000 pieces; if the team needs to screen hundreds of thousands of pieces every day, billing by piece is also applicable, and there may be discounts based on volume (specifically, the real-time price of the console shall prevail).

How to judge the quality of tg US data? What should I pay attention to when screening?

Quality is at the core of data value. The data you spend time sifting out must really help you improve your marketing effectiveness. Below are three core indicators.

Core indicator one: activation rate

Opening rate = number of detected “Registered Telegram” numbers ÷ total number of numbers put into detection. Typically, if you use a US number randomly generated by the global number generation module, the activation rate is about 10%–30% (depending on whether the number segment is frequently used by Telego and others). If the activation rate is less than 5%, it is recommended to change the number segment or check the number sample.

Core indicator two: activity timeliness

Although many numbers have registered with Telegram, they have not logged in for half a year or even more than a year. The probability of such users reading messages is extremely low. It is recommended to give priority to “Active Detection” instead of just “Activate Detection”.

When filtering KK-DATA, you can specify the active window:

Active in the last 7 days → the freshest data
Active in the last 30 days → Average active user
Active in the past 90 days → Old data, not recommended

Data quality tips

When screening tg US data, it is recommended to give priority to “active detection” rather than just “open detection”, because many numbers are registered but have not logged in for a long time, and the actual marketing effect is poor. The age field is an incidental field in gender detection with approximately model-level accuracy and cannot be used for precise authentication.

Core indicator three: Gender/age accuracy

The gender and age fields come from model identification and are “high probability estimates”. It is completely sufficient for group marketing (for example, “men around 30 years old” as the target profile), but do not use it as a precise targeting condition. For example, the high-precision requirement of “screening all 25-year-old women” requires comprehensive judgment based on more data sources.

Notes

Data deduplication: If multiple tasks use the same number pool, be sure to use the deduplication warehouse, otherwise charges will be deducted repeatedly. KK-DATA’s cross-task deduplication function is very useful.
Field Interpretation: The age field displays intervals such as “25-30” and “31-40”. Do not interpret it as an exact integer.
Don’t set the detection window too long: The active detection window is set to 90 days, which often contains a large number of zombie accounts. It is recommended to set it to 7 days or 30 days.

Is it compliant to use tg US data? What legal risks need to be aware of?

This is a question that all overseas teams must face: **Is it legal to use screen number data for promotion? **

Compliance reminder

Self-generated or purchased U.S. numbers may involve privacy compliance issues. By using the number screening platform to detect public numbers (such as randomly generated through the global number generation module) or user authorized lists, the risk is relatively controllable. Never use screen data for fraud, harassment, or violations of Telegram’s Terms of Service.

Legal risk list

Telegram Terms of Service: The use of bots or scripts to spam large-scale private messages is prohibited. Once a complaint is made, your account will be banned, and in serious cases, the number pool will also be restricted.
US CAN-SPAM Act: Although it mainly regulates email marketing, similar “batch message push” may also be cited in judicial practice. Core requirements: The content of the message is true, an unsubscription mechanism is provided, and misleading titles are prohibited.
Data Privacy (CCPA/ECPA): If the data is directly linked to personal information (such as reverse identity lookup through phone number), it needs to comply with the California Consumer Privacy Act. But most screening platforms handle “number status” rather than PII, which is less risky.
Anti-Fraud and Harassment Regulations: Data must not be used for illegal activities such as fraud, phishing, pornographic harassment, etc.

Usage suggestions

Only use numbers generated through public number segments and do not purchase lists from unknown sources that contain accurate personal information.
Evaluate content before sending: Ensure that promotional information is not illegal, misleading, or harassing.
Set up an unsubscription mechanism: Even a simple “reply STOP and no longer receive” can significantly reduce risks.
Scale Control: Do not send multiple messages to the same user continuously in one day. If you send a large number of messages from the same IP, you will be blocked.

Is there a difference between tg US data and US tg data? Unified understanding of long-tail keywords

**There is essentially no difference. ** “tg US data” and “US tg data” have the same meaning in search engines, and both refer to Telegram US user data.

Other common variations include:

TG US Number Data
Telegram US Data
US TG Data
Telegram US active user data

No matter how you write it, the core is the same. So if you search for different expressions on Baidu or Google, don’t be confused. Just check whether the content involves the above fields, acquisition methods, and compliance suggestions.

Best practices for batch filtering tg US data (steps and tool recommendations)

If you have decided to use a screening platform (such as KK-DATA), the following is the recommended one-stop operation process:

Step 1: Define the target group profile

Region: United States (the US number segment is selected by default)
Platform detection type: Telegram activation + active (last 30 days) + gender (male/female)
Age Intention: For example, “I want to find male users around 30 years old”, then select gender detection. The age field will show a range in the exported results for subsequent grouping.

Step 2: Generate or import US number pool

In the “Global Number Generation” module of the platform, select the country “United States” to generate a batch of random numbers. Generating is completely free.

Another way: If you have a CSV number list provided by your partner, you can import it directly.

Step 3: Submit screening task

-Task name: You can define it yourself for easy management.

Detection type: Check Telegram activated, Telegram active (select 7 days or 30 days), Telegram gender (including age).
Estimated cost: The system automatically calculates and submits after confirmation.
After submission, the task starts to be executed asynchronously, and you will receive a notification when completed (bot notification can be bound to Telegram).

Step 4: Wait for results and export

It is usually completed within a few minutes to tens of minutes (on the order of 10,000). The recommended export format is CSV, which is convenient for further processing with Excel or BI tools.

Step 5: Data deduplication and refiltering

If you have multiple batches of data, use the platform’s built-in data deduplication warehouse to avoid repeated detection of the same number. At the same time, it can be combined with other platforms (such as WhatsApp and Line) for cross-platform screening to achieve “one number reuse multiple times.”

Frequently Asked Questions (FAQ)

Q: What fields do tg US data usually contain?

Answer: The basic fields include whether the number has Telegram, whether it is active (the last 7 days/30 days/90 days can be specified), gender (male/female/unknown), age (approximate value), tgid, etc. Different platforms have different detection types, and the results exported from the console shall prevail.

Question: How to obtain a large amount of US Telegram account data?

Answer: You can first use “Global Number Generation” to generate US numbers for 240+ countries for free through number screening platforms such as KK-DATA, and then submit the Telegram number screening task (activation + active + gender), and the fee will be deducted per item. Generating is free, screening is charged.

Question: How much does it cost to screen tens of thousands of tg US data?

Answer: The cost depends on the test type you choose (such as activated only vs activated + active + gender) and the actual number of screening items. The unit price is different on different platforms. Please log in to the console to view the real-time price. The estimated cost will be displayed before the task is submitted.

Q: Is the age field in tg US data accurate? Can it be accurate to about 30 years old?

Answer: The age field comes from the gender detection model and is a model-derived value, not an ID card-level accuracy. It can be used to analyze the proportion of people around 30 years old, but it cannot be used as a precise filter. It is recommended to make a comprehensive judgment based on fields such as activity level and gender.

Question: Is it legal to use tg US data for private message promotion?

Answer: It depends on your promotion method. If the user has authorized it or you have a reasonable and legitimate basis, and you follow Telegram’s anti-spam policy (such as not harassing in bulk and providing an unsubscribe method), it may be compliant. Sending marketing information to users who have not consented without authorization violates the U.S. CAN-SPAM Act and Telegram’s terms and may result in account suspension or legal risks. It is recommended to consult legal counsel first.

Whether you are a novice team that is new to overseas customer acquisition, or a veteran who wants to improve the efficiency of data screening, tg US data is an important tool to effectively reduce marketing costs and improve conversion rates. If you want to quickly start filtering US TG data, it is recommended to log in directly to the KK-DATA console to experience the complete process of “Generate → Filter → Export”, and you can complete a batch of tasks in a few minutes.

👉Log in to the console to start screening numbers Have a question? Two-way contact customer service: https://t.me/kkdata_robot More references: Usage Documentation | Official Home Page