How the cross-border e-commerce team uses tg US data to prepare for market list stratification and compliance contact

Cross-border e-commerce teams entering the U.S. market often face a core problem: they have tens of millions of U.S. mobile phone numbers, but they don’t know which users are actually active on Telegram, which users may be interested in your products, and which numbers are just a waste of budget. ** Extensive mass posting not only has a low conversion rate, but can also easily trigger platform bans and regulatory risks.

tg US Data (Telegram US Data) is the first key to solving this pain point. By checking the activation status, activity, gender and age fields of numbers in batches, you can quickly stratify the original number pool and lay an accurate and compliant foundation for subsequent private messages or community operations. This article starts from the actual scenario of cross-border e-commerce and breaks down the complete process from number generation to layered access.

---

Why does cross-border e-commerce need tg US data?

The traffic value of private domain access (Telegram/WhatsApp) in the US market is self-evident - high consumption power and high interaction rate. However, “bulk posting without filtering” is rapidly failing: the platform’s anti-spam algorithm is upgraded, user reporting rates are increasing, and U.S. regulations (TCPA/CAN-SPAM) have increased penalties for non-consensual marketing year by year.

**Data tiering is the only way forward. **

Extensive group sending vs data tiering

Dimensions	Extensive group sending	Stratification based on tg US data
Cost	A large number of invalid numbers (unregistered, inactive) consume balance and energy	Only spend budget on “reachable users”
Banning rate	High frequency and indiscriminate sending, easy to be marked as spam	Control frequency + targeted content to reduce reports
Reply rate	Well below 1%	Increase response rate by 5-10 times with active/gender filtering
Compliance risks	May violate anti-spam regulations and face high fines	Confirm in advance that the user is an active TG user and cooperate with the unsubscription mechanism

What key dimensions does tg US data contain?

KK-DATA’s Telegram filter can output the following core fields (subject to console export):

• tg activation (registration detection): whether the number has been registered with Telegram
• tg active: You can specify the last 7 days, 30 days and other time windows to determine whether there are online records
• tg gender: Gender tag calculated based on public information (avatar, nickname grammar, etc.)
• Age Field: Also based on data inference, it can be used to filter age groups such as “about 30 years old”
• tgid export: to facilitate subsequent binding of other tools or secondary detection

Note: The gender and age fields are not ID card-level accurate, but they have sufficient reference value. It is not recommended to use it as the sole basis for decision-making.

---

How to obtain reliable tg US data - from number generation to screening number

Many teams mistakenly believe that “tg US data” must come from illegal crawlers or data reselling. In fact, the way to obtain compliance is to first generate/upload the number, and then have the platform detect its status. ** KK-DATA provides complete assembly lines.

Global number generation + US number segment filtering

Use the platform’s “Global Number Generation” function and select the country/region as “United States (+1)” to get millions of original numbers that match the US number range. This function is free, and you can directly import the screening tasks after generation.

Or, if you already have your own customer data (such as email/mobile phone number collected from an independent station), you can directly upload the CSV to the platform, and the system will automatically remove duplication (using a cross-task deduplication warehouse) before submitting the screen number.

Multi-dimensional filters: activated, active, gender

1. Log in to the console and click “New Screening Task”.
2. Select the detection platform as Telegram.
3. Check the detection type: tg activated (required), tg active (recommended to check), tg gender (optional).
4. Upload the list of numbers to be detected (supports CSV, TXT, up to about 1 million entries/time).
5. Submit the task and the system will estimate the cost (billing by item, see the real-time price on the console for details).
6. After the task is completed, you will be notified through Telegram and the results will be exported.

---

List stratification: from original number segment to third-level user pool

Suppose you have generated or uploaded 100,000 US numbers. After passing the test, they can be divided into three tiers:

Levels	Conditions	User-defined	Recommended reach strategies
Type A users (high intention)	tg activation + active in the last 7 days + gender-matching product positioning	Active online at this moment, and gender matches the target group	Prioritize private messages with personalized copywriting
Type B users (reachable)	tg activated + active in the last 30 days + gender optional	Have usage habits but not online every day, medium conversion potential	Moderate private messages, control frequency
Category User (Sedimentation Tank)	Only activated but inactive for more than 30 days, or gender unknown	May have changed accounts or rarely used	Not accessible yet, or only invited to join the community
Invalid number	Telegram not activated	Unreachable	Discard directly to avoid wasting costs

For example, an independent website that focuses on men’s skin care can prioritize the first round of promotion by selecting **“tg activated + active in the last 7 days + male gender” type A users.

---

Compliance Contact Preparation: What to Do Right to Start a Safe Event

The US market has strict restrictions on private message marketing: both the TCPA and CAN-SPAM bills require obtaining user consent (opt-in) or the existence of an established business relationship. Simply having an active tg number does not mean you can send at will.

Suggested Steps:

1. Data Cleaning: Only keep numbers with “tg activated and active”, and eliminate invalid and suspected spam numbers.
2. Time zone selection: Adjust the sending time according to each time zone in the United States (Eastern/Central/Mountain/Pacific). It is recommended to be 9:00-12:00 and 14:00-17:00 during the local daytime.
3. Frequency Control: No more than 1-2 private messages per month for the same user; the first message must contain an “unsubscribe/block” instruction.
4. Moderate content: Identify your identity and provide value (offers/manuals/community) at the beginning, rather than directly promoting links.
5. Keep evidence: Record test reports and delivery logs. If there are complaints, it can prove that you have made reasonable contact based on “effective active users”.

---

From “not knowing who is online” to “accurate contact” - before and after comparison of a typical scenario

Scenario: A smart home brand is preparing to promote Bluetooth door locks to US users through Telegram private messages.

Before using tg US data:

• Purchased a batch of numbers (about 50,000) from a third party and sent them directly to the group.
• Result: Nearly 40% of the numbers have not registered with Telegram, and 30% of the numbers have been inactive for a long time; the final response rate was less than 0.3%, 2 accounts were blocked, and 3 complaints were received.

After using tg US data:

• Perform TG activation + activity detection on the number pool, and screen out 12,000 “active in the past 7 days” users.
• Divide them into two groups by gender (ratio of men and women: 60:40), and send different copywriting on “smart security” and “home convenience” respectively.
• Result: The response rate increased to about 3.5%, no accounts were banned, and there were zero complaints. List preparation time was reduced from 3 days to half a day.

(The above specific figures are only indicative, actual results vary depending on product, copywriting, and market differences)

---

Common pitfalls when using tg US data

Trap 1: Only look at “activated” but not “active”

It is considered reachable just by detecting the activation. As a result, most users may not come online for half a year. It is recommended to always check “tg active”, or at least select a 30 day window.

Trap 2: Use the screen number to the end

The active status changes dynamically. “Active” users from 2 months ago may have been lost. Update the list regularly (such as once a month) to maintain reach.

Trap 3: Ignoring duplication leads to repeated deductions

If you upload the same number multiple times, KK-DATA’s “Data Deduplication Warehouse” can automatically identify and avoid duplicate detection. Be sure to enable deduplication in task settings to save balance.

---

Summary and next steps

tg US Data is one of the “infrastructure” for cross-border e-commerce to acquire customers in the US market. Through strict number status detection and stratification, you can:

• Keep invalid numbers out and focus budget on truly reachable users;
• Optimize the reach strategy based on activity and gender, increasing the response rate by 5-10 times;
• Cooperate with the compliance process to significantly reduce the risk of account suspension and litigation.

Back to actual work, you only need to: generate/upload numbers → submit multi-dimensional screening numbers → export hierarchical lists → gentle contact. Data and processes do the rest.

---

FAQ

**Q: How to specifically judge “active” in TG US data? **

Answer: KK-DATA’s tg activity detection can specify a time window (such as online in the last 7 days or 30 days), and the detection results will mark whether the number has an online record within the window. You can customize the window length.

**Q: Will the US number generated through the platform automatically include state information? **

Answer: The platform’s global number generation generates numbers based on country number segments (such as +1), and does not include state or city subdivisions. If you need regional targeting, you can first obtain the number list with regions through public data sources and then upload the filter numbers.

**Q: How accurate is the gender field in tg US data? **

Answer: Gender recognition is calculated based on the user’s public information (such as avatar, nickname grammar, etc.) and is unofficial real-name authentication. Usually it can achieve a high reference value, but it is recommended to combine multi-dimensional judgment and should not be used as the only basis for decision-making.

**Q: How many pieces of tg US data can be filtered in one task? **

Answer: The maximum number of single tasks is about 1 million. It is actually recommended to submit in batches, especially when using it for the first time, verify the effect from a few thousand items before expanding the scale.

**Q: How to export the filtered list? **

Answer: After completing the detection, you can choose to export in CSV or TXT format on the console. The fields include number, platform, status, activity, gender, age, etc. (subject to the actual exported column).

---

If you want to apply tg US data to your own cross-border e-commerce list cleaning project, please feel free to experience the screening capabilities of KK-DATA.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For detailed operation instructions, please refer to Usage Documentation