Guide to organizing active TG in the United States: How to use area code planning +1 number base to avoid equating area code with current place of residence

When it comes to acquiring customers overseas, especially in Telegram community operations targeting the U.S. market, US active TG data is the core resource for reaching high-value users. However, many teams fall into a common misunderstanding when sorting out +1 number base materials: treating the area code as an accurate label for the user’s current location. In fact, due to the influence of number portability policies, virtual numbers, etc., the relationship between area codes and geographical location is more complicated than imagined. This article will start from a practical perspective and teach you how to scientifically screen active Telegram users in the United States, rationally use area codes to plan number lists, and avoid invalid contacts due to misunderstandings.

What is US active TG data? Why is it needed to acquire customers overseas?

Active TG in the United States, in a narrow sense, refers to Telegram users with a number segment of +1 and online behavior within the specified time window (such as the past 7 days, 30 days). The core value of this type of data lies in:

High reach rate: Active users are more likely to check messages and reply to interactions in a timely manner, and the conversion rate of private message promotion is significantly higher than that of static users.
Premise of Precision Marketing: Only if the number is confirmed to be activated and active, the subsequent gender and interest tags will be meaningful; otherwise, energy will be spent screening a bunch of invalid numbers and costs will be wasted.
Scalable operation: By generating +1 numbers in batches and conducting activity detection, you can quickly obtain hundreds of thousands or even millions of marketing materials to support large-scale launches.

The role of the area code in this process is often misunderstood - many people think that “the area code 212 means that the user is currently in New York”, but this is not the case.

The true relationship between the U.S. area code and geographical location (to avoid common misunderstandings)

Note: area code ≠ current place of residence

Don’t rely on area codes as the only basis for precise geolocation. Mobile phone number portability policies allow users to keep their original numbers across state lines, and the area code of virtual numbers (such as Google Voice) is more likely to have nothing to do with their actual place of residence. It is recommended to use area code as a preliminary screening factor and cross-validate it in combination with activity, gender and other fields.

Area code does not represent current place of residence: Mobile phone number portability and the impact of virtual numbers

The US Federal Communications Commission (FCC) implemented local number portability (Local Number Portability) as early as 2003. Users can keep their original mobile phone numbers when they change operators or even move to another place. That means a number listed as 310 (Los Angeles) might have moved to Chicago or New York. In addition, the area codes of a large number of virtual numbers (such as TextNow and Google Voice) can be selected at will and have nothing to do with the user’s real location.

Therefore, it is a high-risk operation to use the area code to infer the user’s current residence. When collating active TG data in the United States, the area code should be regarded as “the area code where the number was first registered” rather than the current coordinates.

Which area codes still have strong geographic associations?

Not all area codes are completely untrustworthy. In the following scenarios, the correlation between area code and region is relatively high:

Enterprise/Landline Residual: Some old users still retain numbers bound to their workplace.
Small Town/Rural Area Code: Population mobility is low, and the area code is highly consistent with the place of residence (for example, 218 represents northern Minnesota, but the amount of this type of data is small).
Specific ethnic gathering areas: For example, the numbers of certain immigrant communities come from several area codes, which still has certain reference value.

But in general, no area code guarantees 100% geographic accuracy. A sound strategy is to use the area code as a rough direction to the “area of interest” rather than a precise location.

How to use area codes for preliminary screening without over-reliance?

Prioritize metropolitan area codes with a large user base: such as 212 (Manhattan, New York), 310 (Los Angeles), 408 (Silicon Valley), 214 (Dallas), etc. These areas have high business activity and greater reach value.
Mix multiple area codes to reduce the user’s “sales feeling”: If all of them use the same area code, the recipients may think they are “strangers”, which will affect the open rate.
Verification combined with other dimensions: Add gender, age (preliminarily judged by the age field in TG gender data), and device type to the active filter, and make the area code only one of the tags.

How to organize the base information of active TG numbers in the United States? Complete process from generation to screening

Tips for efficient planning

Using the global number generation function of KK-DATA, you can generate a +1 number list of specified area codes for free, and then use the TG screening task to batch detect activity, saving manual organization costs. The generation module does not consume the balance, and the screening module deducts fees according to the number of tests.

The following are the complete steps using KK-DATA as an example (other similar platforms can also refer to the ideas):

Step 1: Generate a +1 number list with area code planning (generated using global numbers)

Log in to KK-DATA Console and enter the “Global Number Generation” module.
Select the country “United States (+1)” and specify the target area code (such as 310, 408, 212).
Supports random generation, generation by number segment, or uploading of customized CSV (number segments can be purchased in advance). Generating is completely free, unlimited times.
It is recommended to generate 100,000 to 500,000 items at a time as a base candidate pool. Be careful not to concentrate area codes too much. The distribution ratio is: 30% from mainstream commercial area codes, 30% from sub-mainstream, and 40% randomly.

Step 2: Perform TG activity screening (activation/activity detection)

Import the generated number list into the “Screening Number Task” module.
Select the detection type: Telegram activated (check whether the number is registered with TG) + Telegram active (specify active window: 7 days, 30 days, etc.). It is recommended to turn on “active” detection, otherwise only turning it on means that the user may have abandoned his account.
If necessary, you can check “TG Gender Data” to obtain gender and age information (the age field is inferred based on the platform’s public data, not ID card level).
Before submitting the task, the console will automatically display the estimated deduction amount. Start testing after confirmation.
The maximum number of tasks in a single task is about 1 million, and more than one task can be divided into batches.

Step 3: Export and remove duplicates to form the base material

After the task is completed, download the results (CSV/TXT format), including fields: number, whether it is activated, whether it is active, active time, gender, age, tgid, etc.
Use the Data Deduplication Warehouse function: Compare the newly generated results with historical base materials, automatically eliminate duplicate numbers, and avoid wasting balances by repeatedly testing the same user.
Finally, save the active numbers after deduplication as the final base material for subsequent marketing.

When screening active TGs in the United States, what other dimensions do we need to pay attention to?

In addition to activity, the following dimensions can further improve operational effects:

Gender: Identify male/female through TG gender detection, suitable for gender-oriented marketing (such as female beauty, male games).
Age: The age field in gender detection (such as “about 30 years old”) can help divide the population into layers, but the accuracy is limited and is only suitable for coarse-grained stratification.
Device type: Some tests can return the device model (iOS/Android), which is of reference value for App promotion.
tgid export: The user’s Telegram internal ID can be obtained for subsequent deduplication, or for message deduplication in conjunction with other tools.

It is recommended to use a combination of multiple dimensions when filtering, for example: active time within 7 days + female gender + age 25~40 years old, so that a group of high-quality users can be accurately located, not just the single indicator of “active”.

Practical case: How to plan number base material for marketing in California?

Suppose your business is an independent e-commerce website for California, and you want to promote it to local Telegram active users. The operation idea is as follows:

Area code selection: Focus on using the main California area codes: 310 (Los Angeles), 408 (Silicon Valley), 415/628 (San Francisco), 818 (San Fernando Valley), 619 (San Diego), 916 (Sacramento). You can take a portion of each and keep the proportions even.
Generate numbers: In the KK-DATA global generation module, select United States +1, manually add the above area code prefix, and generate 50,000 numbers for each area code, totaling 300,000 numbers.
Screen active: Submit TG active detection, and the active window is set to 30 days. At the same time, check “Gender Detection” to filter out males/females (adjusted according to the product), and the age field can be set to “23~45 years old”.
Export and remove duplicates: After completion, use the deduplication warehouse to filter, and finally get about 80,000 to 120,000 active and qualified numbers.
Supplementary dimensions: If necessary, you can check “iMessage active” again to obtain multi-platform connected users.

Although the area code in this base material does not absolutely represent that the user currently lives in California, it greatly increases the probability that the user is from California (because people who choose the local area code when registering their number usually have a strong connection with the local area). Coupled with activity and gender filtering, the effective reach rate can reach a higher level.

Things to note when using KK-DATA for US TG screening

Billing method: No subscription package, fees will be deducted based on the number of tests. Telegram activation/activation and gender detection unit prices are different. For specific costs, please refer to [Console Real-time Price] (https://app.kkdata.cc/) or [Official Website Billing Page] (https://kkdata.cc/billing/).
Task size: The maximum number of single tasks is about 1 million. If the number exceeds, it can be submitted multiple times.
Insufficient balance: The estimated fee will be displayed before submission. If the balance is insufficient, submission cannot be made. You need to recharge first (USDT TRC20, minimum about 50 USDT).
Recharge arrives: The balance is usually updated automatically within a few minutes without manual review.
Notification and Customer Service: After the task is completed, you can be notified through the Telegram robot. If you have any questions, please check the official customer service: https://t.me/kkdata_robot (two-way contact) and beware of counterfeiting.

FAQ

**Q: Does the active TG data in the United States necessarily mean that the user is currently in the United States? **

Answer: Not entirely. Activity detection only indicates that the number has online behavior on Telegram within the specified time, and does not directly prove the user’s geographical location. Coupled with the number portability policy, the area code cannot reflect the current place of residence. It is recommended to use activity as an indicator of “user frequency of using Telegram” rather than geographical location tags.

**Q: When sorting out the base information of US TG numbers, which area codes are worth choosing first? **

Answer: There is no absolute best area code, but you can give priority to urban area codes with a large user base and intensive commercial activities, such as 212 (New York), 310 (Los Angeles), 408 (Silicon Valley), and 214 (Dallas). Mix up multiple area codes at the same time to avoid monotony. The specific choice should be combined with your target customer profile (for example, B2B can focus on Silicon Valley and New York; B2C can focus on the densely populated South and West Coast).

**Q: When using KK-DATA to filter active TGs in the United States, how many numbers can be processed at most at one time? **

Answer: The maximum number for a single task is about 1 million. The generation module supports free batch generation, and the screen number module deducts from the balance according to the number of tests. It is recommended to use the “data deduplication warehouse” to clean historical data before the task to avoid repeated detection.

**Q: Is the age field in TG gender data accurate? Can you accurately target the 30-year-old crowd? **

Answer: The age field in gender detection is inferred based on the platform’s public data. It is not a real-name authentication level and can only be used as a reference for population stratification (for example, “about 30 years old” indicates an estimated interval). Accurate locking requires cross-verification in combination with other dimensions (such as content interests, account registration duration) and should not be relied upon alone.

**Q: I only have a small number of numbers that need to be verified. Can I use the plan without subscribing based on the volume? **

Answer: Yes. KK-DATA does not have a subscription package. After recharging USDT, fees will be deducted according to the number of tests, and you pay as much as you use. The estimated cost will be displayed before the task is submitted, which is very suitable for different stages from small-scale testing (a few hundred items) to large-scale screening (hundreds of thousands of items).

The above is a complete guide on how to scientifically organize US active TG data and rationally view the role of area codes. I hope you can avoid common misunderstandings, focus on activity and multi-dimensional screening, and obtain overseas marketing target users more efficiently.

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Usage documentation: https://docs.kkdata.cc/

Guide to organizing active TGs in the United States: How to use area code planning + 1 number base to avoid equating area codes with current residence

关于作者