How can cross-border e-commerce companies use tg filtering to optimize private message reach lists in the US market? Complete tg filtering guide

The US market is a battleground for cross-border e-commerce. Telegram, as a private message channel with high open rate and low account blocking, is used by more and more teams to reach users. However, many teams purchase or crawl number lists from various channels, only to find that a large number of numbers are unregistered, inactive, or even gender mismatched when they are actually sent, resulting in high costs and poor conversions. tg filtering (i.e. Telegram number filtering) is the core tool to solve this pain point: through multi-dimensional detection (activation, activity, gender, age fields, etc.), truly reachable and responsive target users are extracted from the original numbers. This article will start from the business pain points and teach you how to use tg filtering to build a customer acquisition pipeline of “number generation → filtering → export”, which will reduce the cost of private message promotion in the US market by more than half.

Three major pain points of cross-border e-commerce private message promotion in the US market

Before going deep into tg filtering, let’s review the problems that typical overseas teams (such as the 3C electronic product team in Shenzhen) face every day.

Pain point 1: The number list “looks big”, but the actual reach rate is extremely low

Team A bought 100,000 U.S. numbers at one time. After sending a group Telegram message, the background showed that the successful sending rate was less than 30%. The rest are either unregistered Telegram numbers or zombie accounts that have long been abandoned. A large number of failed delivery not only wastes delivery resources, but may also cause the number to be blocked by the operator. **Unfiltered number lists are often just number bubbles. **

Pain point 2: Unable to target gender groups, high-quality budget is wasted

A certain 3C brand wanted to promote a beauty product targeted at young women in the United States, but because there was no gender label, the same advertisement was sent to a large number of male users. As a result, the conversion rate fell below 1%, and the ROI was directly negative. **For cross-border e-commerce, gender and age are the basic prerequisites for accurate placement. ** On Telegram, if there is no gender field provided by tg filter, you can only blind type.

What is tg filtering? It is not a simple “number verification”

Many people think that tg filtering is just to “check whether this number is registered with Telegram”, but this is not enough. **The real TG filtering is multi-dimensional data cleaning. ** Taking the KK-DATA platform as an example, TG screen numbers can be detected simultaneously:

• Activation detection: Whether the number has been registered with Telegram.
• Activity Detection: Whether the account has had any activity within the latest specified time window (such as 7 days, 14 days).
• Gender (age) field: Gender (male/female) and age range (such as people around 30 years old) inferred based on public information.
• tgid export: The associated Telegram user ID, which can be used for subsequent API secondary contact or retention analysis.

For the US market, the age field is particularly valuable: for example, by filtering active users “aged between 25-35 years old”, you can accurately match groups with strong spending power. Please note that the age here is an interval estimated by the platform based on the data model. It is not accurate at the ID card level, but it is enough for orientation.

Practical three-step method for tg filtering and number selection in the US market

The following uses the KK-DATA console as an example to show the complete tg filtering operation process. All operations are done in app.kkdata.cc.

Step 1: Use the Global Number Generator to get the US target number range (free)

• Enter the “Number Generation” module of the console and select the country “United States”.
• You can specify the state or area code (such as 212 in New York, 310 in Los Angeles), or directly check the number range.
• Enter the target number (it is recommended to test a small amount first, such as 10,000 numbers).
• Click Generate and the system will randomly generate a list that complies with US numbering rules. This step is completely free and does not consume your balance.

After generation, click “Export” to download the original number CSV file, or go directly to the next step of filtering.

Step 2: Submit the TG screening task and screen “activation + active + gender”

1. Create a new “Screen Number Task” in the console and select the platform as “Telegram”.
2. Upload the number list generated in the first step (supports CSV/TXT).
3. Check the options that need to be tested:
   • Activate detection (required)
   • Activity Detection: It is recommended to set “7 days active” or “14 days active” and choose flexibly according to the promotion rhythm.
   • Gender (age) field: When turned on, the system will output the gender and age range to facilitate subsequent filtering.
4. System estimated fees (fees are deducted on a per-item basis, see the real-time price on the console for details). Submit the task after confirmation.

The task usually takes anywhere from a few minutes to tens of minutes to complete, depending on the list size. It will automatically notify you when completed (if the Telegram notification bot is bound).

Step 3: Export the filtered high-quality list and import it into the deduplication warehouse

• After the task is completed, the results can be downloaded in “Task Details”. Supports CSV (recommended, contains fields such as tgid, gender, active status, etc.) and TXT formats.
• Select the “Active & Active & Gender (Male/Female)” number and export it as a separate file.
• It is strongly recommended to upload the exported numbers to the platform’s Data Deduplication Warehouse to avoid repeated purchases or generation of the same numbers from different channels next time, resulting in wasted balance.

At this point, a high-quality targeted user list is ready and can be used directly for Telegram group messages or private messages.

Real scene comparison: before and after tg filtering effects of a 3C overseas team

Assume that the “Shenzhen Aurora 3C” team wants to promote a Bluetooth headset in the United States. The target group is men, 25-35 years old, and active users within 7 days.

Stage	Operation	Original number	Effective number after detection	Private message sending success rate	Final conversion rate
Not using tg filtering	Bought in batches from data providers	100,000	Unknown	About 30%	0.8%
Use tg filtering	First generate 100,000 US numbers, then filter with tg	100,000	About 38,000 (open + active + male 25-35)	95%+	4.2%

After using tg filtering, the team only sent private messages to 38,000 qualified numbers, significantly reducing sending costs (message fees) and increasing the conversion rate by 5 times. **The core change is not the number of numbers, but that behind each number are “real people + behaviors + portraits”. **

How to implement tg filtering efficiently? These 4 best practices must be mastered

Best Practice A: Merge the number generation module to improve filtering efficiency

Do not wait for all numbers to be generated before switching to filtering. In the console, “number generation” and “screening task” can be seamlessly connected: first generate a test list (for example, 5,000 items), directly submit the screening task, and then generate batches after verifying the data quality. A closed loop of “generate → filter” is formed to avoid long waiting time caused by submitting too large data at one time.

Best Practice B: How to reuse filtered data (such as tgid export)

The exported CSV contains tgid (Telegram user’s unique ID), which is very critical. You can:

• Upload tgid to your own customer management system, and then send messages directly through Telegram API (without relying on numbers).
• Used for retention analysis: combine active time and gender fields to label users and continue tracking.
• Avoid repeated shopping guides: the same tgid corresponds to one user and can be repeated.

The export of tgid extends your data life cycle from one-time screening to long-term operation.

How to use tg filtering and WhatsApp filter together? For dual platform users

Cross-border e-commerce companies usually operate both Telegram and WhatsApp channels. KK-DATA also supports the screen numbers of multiple platforms such as Telegram, WhatsApp, Line, and Zalo. For the US market you can:

1. First generate a batch of US numbers.
2. First do WhatsApp Screening to check activation and activity.
3. Then perform tg filtering on the same batch of numbers (because the algorithms of the two platforms are different, dual detection will not interfere with each other).

Note: The two platforms are billed independently for detection, but if you import the numbers that have been tested by Telegram into the deduplication warehouse, you can eliminate duplicates and save the balance when you perform WhatsApp testing again. The combined use of dual platforms can maximize coverage of users’ online time periods and improve the overall reach rate.

FAQ

Question: Can tg filtering only filter out numbers that have “opened Telegram”?

Answer: No. The core of tg filtering is multi-dimensional detection. In addition to verifying whether the number is registered in Telegram, it can also detect its active status (messages sent in the past few days, etc.), gender (male/female), age range (such as about 30 years old), and export tgid. So it goes far beyond “verification and activation”, but multi-dimensional data cleaning.

Question: Is the activity data filtered by tg reliable?

Answer: Activity data is inferred based on the activity information disclosed by Telegram (such as last online time, message sending and receiving records, etc.) and is not pushed in real time. For windows such as “active within 7 days” or “active within 14 days”, the accuracy is very high and is suitable for mass sending scenarios. However, please note that it does not guarantee that the other party will be online at this time. It can only represent that the account has had real activities within the specified window in the past.

Question: How to target people around 30 years old when filtering TG in the US market?

Answer: When submitting a filtering task in the console, check the “Gender (age) field”. After the results are exported, they will include the age field (such as “25-30 years old”, “31-35 years old” and other intervals). You can use Excel or a filtering tool in the downloaded CSV to select a list with an age range of “25-35 years old” to target people around the age of 30. Note that age is a model estimate, which is suitable for group orientation and not suitable for ID card-level accuracy.

Question: How to calculate the cost of tg filtering?

Answer: Billing is based on the number of tests, and there is no subscription package. Costs vary based on testing options (different combinations of open, active, gender, etc.). For specific unit prices, please log in to the console to view real-time prices, or refer to the billing instructions page on the official website. The estimated cost will be displayed before submitting the task.

Question: What is the use of the tgid exported after filtering?

Answer: tgid is the unique identifier of a Telegram user and does not change with the mobile phone number. You can use it to build user profiles, remove duplicates across tasks, and send targeted messages through the Telegram Bot API (with other tools required). After exporting the tgid, even if the original number is changed, you can still accurately reach the user.

Start optimizing your US market DM list

tg filtering is not magic, but a set of quantifiable and replicable data screening processes. From generating U.S. numbers, to submitting screening tasks, to exporting targeting lists, every step helps you reduce ineffective costs and improve conversion efficiency. If you are worried about reaching private messages in the US market, you might as well start with a small test.

👉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/ 🌐 Official website homepage: https://kkdata.cc/