tg US data acquisition guide: How to use US area codes to plan +1 number base and avoid regional misunderstandings

In overseas marketing, Telegram has always been one of the high-conversion channels, and the North American market (represented by the United States) has become a battleground for many teams due to its mature e-commerce ecosystem and high consumption power. The core value of tg US data is that you can obtain the registration status, activity and gender information of US area code (+1) numbers on Telegram in batches, thereby accurately screening out target users. However, many practitioners often make a fatal mistake in actual operations-taking the U.S. area code as the user’s current location. This article will teach you how to correctly obtain TG US data from number segment planning to screening number implementation, and avoid these common pitfalls.

What is tg US data? Why is it needed for overseas marketing?

tg US data refers to the collection of detection results on the Telegram platform for US phone numbers (starting with +1). A complete set of data usually contains:

• Activation status: Whether the number has registered a Telegram account
• Activity: Whether there is online behavior within the specified time window (such as the past 7 days, 30 days)
• Gender Identification: Infer gender through AI analysis of avatar, nickname and other information (some with age field)
• tgid: Telegram’s internal unique identifier, which can be used for precise push or blacklist management in the future.

Why does the overseas team need it? The reason is very straightforward:

• North American Community Operation: It is necessary to verify whether the numbers of the members in the group are actually registered for TG to avoid fake followers of robots
• Cross-border e-commerce promotion: Reach the +1 number user group, default to English environment and North American consumption habits, suitable for Amazon and independent websites to attract traffic
• Private message customer acquisition: Detect active users in batches, reduce the failure rate of adding followers, and save time and costs

Take the KK-DATA platform as an example. Submit the tg US data screening task, which can process up to about 1 million numbers at a time. It supports three detection types: activation/active/gender. The results can be exported to CSV or TXT format and used directly for the next marketing action.

United States area code ≠ user’s current residence: common misunderstandings and correct perceptions

This is one of the easiest pitfalls when using TG US data.

Why does the area code not represent the user’s true location?

Many newcomers get a batch of +1 numbers. When they see the area code is 212 (Manhattan, New York) or 310 (Los Angeles), they think the user must be in New York or Los Angeles. But the reality is far more complicated than that:

1. Number portability: Users can keep their original number and the area code remains unchanged after moving. A 212 number that originally belonged to New York may have moved to Texas with its owner.
2. Virtual number proliferation: Google Voice, TextNow and other virtual number services allow users to apply for numbers across regions. If you get a 715 area code (Wisconsin), the user may be in Shanghai.
3. Business Travel/Immigration Life: Users with +1 numbers may live in China, Southeast Asia or Europe. The area code only reflects the number segment ownership when initially registered, not the GPS positioning.

Correct usage: area code as a reference for “linguistic/cultural orientation”

Since the area code cannot determine the city, what is the use of the area code in the TG US data?

• Language environment filtering: +1 number defaults to English environment, suitable for marketing content for English-speaking audiences
• Consumption Habit Inference: North American users are more receptive to credit cards, PayPal, and Amazon, and are suitable for supporting conversion paths.
• The first stage of coarse screening: first use area codes to circle potential groups, and then do secondary filtering based on activity, gender, and age.

For example: if you want to provide services for Asian international students (bilingual in Chinese and English), you can consider a number segment that includes the 718 (Chinese-American area in New York) or 626 (Los Angeles Chinese-speaking area) area code; but if the target is the American technology entrepreneurial crowd, 408/650 (Silicon Valley) or 206 (Seattle) is more relevant. Note that this is still a probabilistic guess, not an exact match.

How to organize +1 number base materials: the complete process from selecting the area code to importing the screen number

The following takes KK-DATA as an example to illustrate the actual steps of obtaining tg US data. This process is highly versatile, and the logic of other platforms is similar.

Step 1: Determine whether the target area code matches the service

Select the number segment according to the business scenario. The following are some common references:

Business scenario	Recommended area code (example)	Description
Technology Entrepreneurship/IT Industry	408, 650, 206, 415	Silicon Valley, Seattle, San Francisco
Entertainment/Social	212, 917, 310	New York, Los Angeles
Chinese community	626, 718, 732	Chinese in Los Angeles, Chinese in New York, Chinese in New Jersey
Universal nationwide	213, 512, 404	Los Angeles, Texas, Atlanta

Step 2: Generate or import +1 numbers in batches

KK-DATA provides global number generation function (free). Operation path:

1. Log in to the console https://app.kkdata.cc/
2. Enter the “Number Generation” module → select the country “United States”
3. Enter the target area code (such as 212) and starting number range (0000-9999)
4. Click Generate, and the system returns the +1 number list in CSV format.
5. The generated results can be exported or directly imported into the screening task

If you already have your own number data on hand (such as a list of purchased historical numbers), you can also upload it in batches through CSV.

Step 3: Use the screening platform to verify the validity, activity and gender of tg

After getting the number list, enter the screening module:

1. Create a new task → Paste or upload numbers (the upper limit is about 1 million)
2. Select the test type: tg activated (registration test), tg active (optional 7 days/30 days/custom window), telegram gender data (including gender + age fields)
3. Confirm the estimated cost (the interface will display)
4. Submit the task and wait for completion
5. Export results: tg activation status, active time, gender, age, tgid and other fields

Example: The following columns may be included in the exported CSV:

phone_number, tg_open, tg_active_7d, gender, age_estimate, tgid
+12125551234, YES, YES, male, 32, 123456789

Interpretation of key fields of tg US data: How to use tgid, gender, and age?

The fields in the filter results have their own purposes, and the ability to interpret them correctly often determines the value of the data:

• tg activation: whether to register TG. This is the basic threshold, and unactivated numbers will be eliminated directly.
• tg active: Whether online within the specified window. It is recommended to select the last 7 days or 30 days, which represents “recent active users” and is suitable for immediate push.
• tgid: Telegram internal ID. It can be used for blacklist management, targeted push to existing users, or integration with third-party tools.
• Gender: Male, Female or Unknown. Suitable for gender differentiated marketing.
• Age: Additional analysis derived from the gender detection process, which is speculated data and cannot be used as an ID card-level basis. It can be used to screen people “about 30 years old”, but it should not be relied on too much.

In practice, if you only need “whether the number is activated for TG”, just check “TG activated” without selecting active or gender, which is cheaper. For specific unit prices, please see the real-time price on the console. It is billed by volume and you pay for what you use.

How to avoid taking the area code as the user’s real location? Best Practices for Data Usage

In the past year, I have seen too many teams use TG US data, filter out New York numbers by area code, and then send local ads to New York. As a result, the conversion rate is extremely low. Here are three proven rules for avoiding pitfalls:

1. The area code is only used for preliminary screening: Understand the area code as “language/cultural tendency” rather than “location”. A +1 212 number, the user may be in California or Texas.
2. Combined with activity to determine current usage frequency: Activity data can better reflect “whether the user has been using Telegram recently” than the area code. Select the active ones in the past 7 days, and then do a secondary delineation based on gender, so the effect is more controllable.
3. If you need more precise positioning, cooperate with other data sources: For example, let users self-report their city in the registration form, or use IP positioning assistance. What the number screening platform is good at is number validity detection, not precise GPS.

To summarize in one sentence: The area code determines “who you are” and the activity data determines “where you are”. **

Notes on batch screen number tg US data: number segments, duplication and cost control

When operating in batches, there are several points that directly affect efficiency and budget:

• Number Segment Blacklist: Certain number segments (such as virtual number segments for short-term rental) may be restricted from registration by TG, or may be invalid in large numbers. It is recommended to test with a small sample (dozens of items) first, and then submit the full amount.
• Use data deduplication warehouse: KK-DATA has built-in data deduplication warehouse, which can automatically deduplicate across tasks. For example, numbers that have been detected last time will be automatically skipped when submitted again, and charges will not be deducted again.
• Task Estimated Cost: Be sure to check the estimated amount before submitting. If you only have a balance of 100 yuan but submit 100,000 numbers, the task will not be submitted due to insufficient balance.
• Select test type: When you only need to activate the test, do not check activity or gender; if gender is required, you can select “tg activation + gender” to save the cost of active testing.
• USDT Recharge: The platform supports anonymous recharge of USDT (TRC20), with a minimum of about 50 USDT. The balance will be automatically updated after the account is received, and there is no subscription package. See Billing Instructions for details.

FAQ

Question: Can the area code in tg’s US data represent the city where the user is located?

Answer: No. The area code only corresponds to the place of residence when the number was registered (or the place where the virtual number was assigned), and does not represent the user’s current geographical location. For example, a user with the 212 area code may have moved to Los Angeles. It is recommended to use it with caution in conjunction with activity data, and do not use area codes alone for city-level targeting.

Question: Is the age field in tg US data accurate?

Answer: The age field comes from additional information in the gender detection process and can be used to screen people in age groups such as “about 30 years old”. However, it is speculative data with limited accuracy and cannot be used for ID card-level verification. It is recommended to use it as an auxiliary reference and not to regard the results of a single screening number as an accurate age database.

Question: I only have USDT, how do I recharge? Do you have a subscription?

Answer: The platform adopts a pay-as-you-go billing model and there is no subscription package. To recharge, use USDT (TRC20), with a minimum of about 50 USDT. The balance will be automatically updated after arrival and can be used for all screening tasks. Please see the console recharge page for specific procedures.

Question: Will repeated testing of the same number result in repeated deductions?

Answer: If you use KK-DATA’s data deduplication warehouse, when the same number appears in different tasks, the system will automatically identify and skip it, and the balance will no longer be deducted. This can effectively avoid waste.

Question: How can I ensure that the customer service I contact is an official?

Answer: Please check the official contact information: two-way contact customer service https://t.me/kkdata_robot and customer service Telegram @kkdata_cc. The platform has customer service verification on both the console and the official website. There are fake accounts on the market, so be sure to check them.

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The value of tg US data lies in the combination of number validity + activity + gender label, rather than the city-level positioning of area codes. Only by correctly understanding the meaning of data fields and rationally planning number segments and detection types can this investment be worthwhile. If you are ready to acquire customers in the North American market, you might as well start trying it today.

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For detailed operating instructions, please see: https://docs.kkdata.cc/