How to use active TG data in the United States? Practical guide for cross-border e-commerce team list stratification and compliance

US active TG data - refers to the collection of numbers in the US area code (+1) that have registered with Telegram and are online/active within the specified time window - is becoming a new tool for cross-border e-commerce to reach North American users. Compared with high-cost advertising and low-open rate email marketing, the number quality that Telegram relies on to reach private messages directly determines the response rate and input-output ratio. This article will combine the number screening capabilities of KK-DATA, from number cleaning, activity stratification, gender and age orientation to compliance preparation, to completely dismantle an implementable US active TG data acquisition and application process.

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What is US active TG data? What does it mean for the US cross-border e-commerce market?

The US active TG data is not a simple “US number + Telegram registration”, but a high-quality list after multi-dimensional testing: the number belongs to the US number range, has been registered on Telegram, and has been active in the recent past (such as 7 days/30 days). The reason why this kind of data is valuable to cross-border e-commerce is:

• User Reachability: Being registered on Telegram means that you can be contacted through private messages or group invitations without bypassing SMS verification.
• Activity Filtering: Eliminate “zombie accounts” and accounts that have been offline for a long time to reduce invalid sending.
• Gender and age assistance: Some test results can return gender and age (approximate value) to help target segmented groups such as “men around 30 years old”.

US Telegram user size and activity characteristics

Telegram’s monthly active users in the United States continue to grow, especially against the backdrop of rising privacy-sensitive and encrypted social needs. But “active” does not mean “online” - activity is an indicator comprehensively judged by the platform based on the user’s last online time or message sending behavior (such as online within 7 days), while “online” only refers to the current immediate status. KK-DATA’s TG activity detection supports specified days windows (such as 7 days, 30 days, 90 days), and the returned results include “active/inactive” or “last online timestamp”, allowing the team to flexibly filter according to the marketing rhythm.

The challenges faced by cross-border e-commerce in reaching the US market

Traditional access channels have their own shortcomings:

Channels	Pain points
Email marketing	Low open rate (average less than 20%), easy to enter the trash
Bulk SMS	American carriers have high interception rates, and the cost per message is 0.02-0.05
Social media advertising	Bidding surges, ROI fluctuates
Outbound calls	High rejection rate, easy to trigger Do Not Call regulations

As a supplementary channel, Telegram private messages have obvious advantages in low interception rate and high open rate (Telegram message push is strong), but to truly exert value, the problem of number quality must be solved - this is the core value of US active TG data.

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How does cross-border e-commerce use US active TG data for list stratification?

Taking the KK-DATA platform as an example, a reusable list hierarchical pipeline contains the following three layers:

The first level: number activation detection - eliminating invalid numbers

First, upload batches of US numbers to the Telegram number screening task, and only select “Enable Testing” (i.e. register for testing). This step eliminates numbers that are not registered with Telegram, and can usually process up to about 1 million messages at a time.
Output results: divided into two categories: “activated” and “not activated”. Unactivated numbers will be eliminated directly to save subsequent testing costs.

Second layer: Activity recognition - distinguishing between hot/warm/cold numbers

For the activated number, submit the Telegram screening task again, check “Activity Detection” and set the window number of days:

• Active for 7 days → Hot account: suitable for short-term promotions and event invitations, with the fastest response.
• Active for 30 days → Warm account: Regular push target, still with a high probability of reaching.
• 90 days active → Cold account: can be used for long-term brand recognition, but needs to be combined with a lower frequency strategy.

It is recommended to prioritize users who have been active for 7 days or 30 days as the first echelon, and then reduce the frequency of reaching cold users.

The third layer: Gender and age fields - targeting core groups

Some Telegram screening results will return gender (such as male/female) and age range (approximate value, not ID-level accuracy). These fields can help filter users such as “male, about 30 years old”, and are suitable for testing targeted marketing in different categories (such as men’s skin care products, electronic accessories, sports equipment).
Note: The age field is only used for auxiliary segmentation and should not be used as the only basis for judgment, and the data platform cannot guarantee 100% accuracy.

After three levels of screening, a hierarchical list similar to the following can be output:

Stratification	Filter conditions	Purpose
Tier 1	US number + TG activation + 7 days active + male/30 years old	High potential targeted mass messaging
Tier 2	US number + TG activation + 30 days active + no gender limit	General recruitment
Tier 3	US number + TG activation + 90 days active	Reserve pool, low frequency access

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Preparation for compliance in the US market: data cleaning and privacy red lines

In the United States, sending commercial text/private messages to individuals without their consent may violate the TCPA (Telephone Consumer Protection Act) and the CAN-SPAM Act. Even though Telegram private messages are not traditional text messages, high-frequency harassment can still lead to account closure, reporting by users, and even legal risks. The following are the red lines that must be adhered to:

1. Legitimacy of data sources: Number generation and number screening are limited to self-owned customer lists or legally obtained numbers. Unauthorized third-party data is not allowed to be purchased.
2. Content Compliance: Telegram private messages must contain unsubscribe instructions (such as replying “STOP”), and it is recommended to send an “invitation/introduction” instead of hard promotion when reaching the user for the first time.
3. Current limiting and rotation: Avoid sending more than 50-100 messages per day from a single account, use multiple accounts to rotate and set random intervals (1-5 minutes per message).

Practical suggestions to avoid account bans and user complaints

• Use an independent Telegram account (not a personal main account) for outreach.
• De-duplicate the list before each contact (KK-DATA’s de-duplication warehouse can automatically identify it) to avoid repeated interruptions.
• Content personalization: Inserting the other party’s username or industry keywords can reduce the probability of being marked as spam.
• Add friends first and then send messages: Telegram has looser restrictions on unfamiliar messages, but it is recommended to send a friend request first, and then send a one-on-one private message after it is approved.

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Practical case: A cross-border team used US active TG data to achieve before-and-after comparison of list stratification

(The following cases are fictitious general scenarios and do not represent specific companies or individuals)

Pain points before use: Blind mass messaging leads to account ban and low conversion

An independent station team once purchased a batch of “American Telegram numbers” (claimed to be 100,000) from outside and directly uploaded them to the mass-sending software without any testing. Result:

• About 40% of the numbers are not registered with Telegram, which wastes sending resources.
• 30% of the numbers are “dead numbers” that have been inactive for a long time and have no reply.
• Due to lack of deduplication, multiple accounts sent messages to the same user continuously, triggering a large number of complaints and resulting in the blocking of 3 mass messaging accounts.
• The overall response rate is less than 1%, but the cost consumes hundreds of yuan of balance.

Improvements after use: layered strategy improves effective dialogue by 3 times

The same team switched to KK-DATA’s account screening capabilities: first, they performed activation detection on the original list and eliminated 40% of invalid accounts; then they performed 30-day active screening on the remaining valid accounts, retaining about 50% of active accounts; and finally, they conducted gender detection on active accounts to screen out male users for sending clothing promotion messages.

Comparison of results (reasonable calculation):

Indicators	Before use	After use
Number valid registration rate	60%	100% (tested)
Proportion of active users	Unknown	70%+
Single round response rate	Less than 1%	About 3-5%
Account ban rate	High (multiple triggers)	Almost zero (current limiting + deduplication)
Balance consumption efficiency	Waste on invalid numbers	Accurately invest in valid numbers

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How to efficiently obtain and filter US active TG data? (Including key points for tool operation)

KK-DATA provides a complete “generate → filter → export” pipeline, which can be operated without programming.

Number generation: The basis for batch generation of US number segments

Enter the [Global Number Generation] module and select the country “United States (+1)”. Two methods are supported:

• Randomly generated: Randomly generate a specified number of numbers based on US number segments (such as 212, 310, 415, etc.).
• Number segment generation: Enter the first few digits of the number segment (such as +1-917) to generate consecutive numbers under the number segment.
• CSV Import: If you already have some target numbers, you can directly upload the CSV for filtering.

The generation itself is completely free, so you don’t have to worry about deductions. The generated number can be exported to TXT or CSV for later use.

Screen task settings: active window and detection type selection

1. Log in to the console (https://app.kkdata.cc/），点击“创建筛号任务”。
2. Select Telegram screen number.
3. Upload the number file (supports up to about 1 million).
4. Check the detection type:
   • Activate detection (required)
   • Activity Detection (set the number of days, such as 7 days)
   • Gender Detection (optional)
5. The page will display the estimated fee (billed by item, please see the platform’s real-time price for details).
6. Submit the task after confirmation, and you will receive a Telegram notification upon completion.

Deduplication warehouse and balance management

• Duplication Warehouse: Automatically record all detected numbers and remove duplicates across tasks. If you upload the same number later, the fee will not be deducted again, saving the remaining balance.
• Balance Recharge: Supports USDT (TRC20) recharge, the minimum is about 50 USDT, and the fee will be deducted according to the actual number of detected items. No monthly subscription, pay as you go.

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Common misunderstandings in filtering active TG data in the United States

Misunderstanding 1: Thinking that “active” means “online” and ignoring the time window

Correct answer: “Active” is a statistical result based on a time window. For example, “active in 7 days” means that the number has been online or messaged at least once in the last 7 days. If the marketing cycle is longer (such as membership system activation), it can be relaxed to 30 days or even 90 days. If you misuse active accounts with a long window for short-term promotions, the response rate may not be as expected.

Misunderstanding 2: Excessive pursuit of accurate gender and age, ignoring data positioning

Correct answer: The gender and age returned by Telegram detection are approximate (specified through number registration information, avatar, etc.), which is not an ID card-level accuracy. It is recommended to use it as a secondary stratification tool rather than as the only filter. For example, filter “male + active for 30 days” as the first echelon. The gender field is only used for content fine-tuning (such as male version copywriting). Do not rely entirely on it to make decisions.

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FAQ

**Q: What cross-border e-commerce scenarios is US active TG data suitable for? ** Answer: It is suitable for user acquisition, community traffic, event notification, after-sales service and other scenarios through Telegram. It is especially suitable for independent websites or brand sellers targeting the North American market. It is recommended to cooperate with precise activity layering to avoid high interference.

**Q: How long is the active window for US TG active data generally set? ** Answer: It is recommended to choose based on the marketing cycle: 7 days for short-term promotions, 30 days for regular operations, and 90 days for brand reserves. Different windows correspond to different response rates, so you can test with a small amount first.

**Q: How much budget is needed to use KK-DATA to screen US TG active data? ** A: The specific cost depends on the type of test and the number of numbers. The unit price for activation testing is the lowest, followed by active testing, and gender testing is slightly higher. It is recommended to check the real-time price on the console first and use the deduplication warehouse to avoid repeated deductions.

**Q: Is the age field in the screening results accurate? Can it be used as a basis for crowd targeting? ** Answer: The age field is an approximate value estimated by the platform based on public information, and is not an ID card-level accuracy. It is recommended to use it as an auxiliary reference and should not be used as the only screening criterion, especially when it comes to age-restricted products.

**Q: How to avoid being banned from Telegram due to group messaging? ** Answer: Control the daily sending volume of a single account (recommended ≤50), use multiple account rotation, add random intervals, and personalize the content. At the same time, first use KK-DATA’s activity detection to eliminate invalid numbers and reduce the complaint rate.

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To start obtaining high-quality US active TG data, please log in to the console: 👉 https://app.kkdata.cc/ If you have any questions during operation, you can contact customer service in both directions: 👉 https://t.me/kkdata_robot For more technical documents and screen number tutorials, please refer to: 👉 https://docs.kkdata.cc/