How cross-border e-commerce companies can use U.S. TG data to accurately optimize private message reach lists in the U.S. market

For cross-border e-commerce teams going to the United States, US tg data (US Telegram data) is becoming the core resource for private messages to reach high-value users. The user base of Telegram in the United States continues to grow, and private messages have a higher open rate and lower delivery threshold than emails and text messages. However, purchasing random number segments directly or from third-party lists is often fraught with invalid numbers, outdated data, and even the risk of fraud. This article will systematically explain how to obtain high-quality, implementable US Telegram data through Telegram screening technology, and optimize the private message reach list around activity, gender, and age fields, ultimately improving conversion rate and ROI.

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

The number of monthly active users of Telegram in the United States has exceeded 100 million in 2024, and the user group is concentrated in the fields of technology and cryptocurrency under 35 years old, which happens to highly overlap with the core audience of many cross-border consumer products. Compared with email reach (15-25% open rate) and SMS (high delivery cost, requiring opt-in), the average open rate of Telegram private messages can reach 80-90%, and allows rich media messages (pictures, videos, votes). More importantly, the risk of supervision and account ban on Telegram in the US market is relatively lower than in Southeast Asia and other regions. As long as the sending frequency and message quality are controlled, the private domain reach efficiency is much higher than that of traditional channels.

Obtaining accurate US TG data means you can:

• Bypass the email trash can and reach directly to the notification bar of the user’s mobile phone.
• Send promotional messages based on active time and gender targeting.
• Use tgid export to achieve multiple subsequent contacts and build a private community.

How to obtain high-quality US Telegram data?

KK-DATA provides a complete pipeline of “global number generation → multi-platform screening number → data deduplication → export”. The following is a three-step detailed explanation of how to operate for the US market.

Use global number generation to quickly build a pool of US number segments

First, in the “Global Number Generation” module of the console, select the country/region as “United States (+1)”. You can generate a pool of candidate numbers based on:

• Generate by number segment: Enter the common number segments in the United States (such as 212, 213, 310, etc.), or directly select the region (New York, Los Angeles, Texas, etc.).
• Quantity Setting: Generate 100,000-500,000 suggestions at a time as raw materials for subsequent screening numbers. Generating is completely free, no fees will be charged.
• Customized CSV import: If you have a local number list on hand, you can also directly upload the CSV, and the system will automatically recognize and add it to the deduplication warehouse.

The generated numbers will be temporarily stored in the “number pool to be screened” and can be directly submitted as a number screening task with one click.

Check activation and activity through Telegram account

Next, create a new task in the “Telegram Screen Number” module:

1. Select number source: Import from the US number segment pool just generated.
2. Detection type: Check tg activated (check whether the number is registered with Telegram) and tg active (you can choose to be online in the last 7 days/30 days/90 days). For the US market, it is recommended to activate detection first, and then perform active screening on the activated numbers to avoid wasting balance.
3. Submit the task: The estimated cost will be displayed before the task starts (see the real-time price on the console for price details), and it will be deducted from the balance after confirmation.
4. After the task is completed: You can check the activation rate, activity rate and other statistics in the “Task Report” and export the results.

Combine gender and age fields to accurately screen target groups

In the advanced detection of Telegram screen numbers, KK-DATA supports gender recognition (some return auxiliary fields such as age, avatar, etc.). These fields are not 100% official from Telegram, but are based on user public information and algorithm inference. Export data shows:

• There are obvious differences in the gender ratio of different number segments. For example, the proportion of young males in the number segments around some universities is relatively high.
• The age field can assist in determining the user life cycle stage, but it cannot be used as an accurate value at the ID card level.

If the product you are launching is aimed at “men aged 25-35”, you can check “Gender Detection” in the screening task, and set the gender to “male” in the filtering conditions, and the age range is 25-35. The final exported CSV will contain the gender and age_range fields (if the data is identifiable). Note: The age field only reflects the trend predicted by the model and is not guaranteed to be 100% accurate. It is recommended to use it in conjunction with activity weighting.

What are the best practices for US tg data in private messaging?

After getting the filtered US TG data, how to maximize the reach effect? Here are three proven landing strategies.

Prioritize account segments with high activity to reduce the probability of account suspension

Telegram’s blocking mechanism for batch private messages is mainly based on the following: newly registered accounts send a large number of messages in a short period of time, the reporting rate is too high, and the messages contain sensitive links. Use a highly active number (online in the past 7 days) to send. The other party will most likely click on the message, and the reporting rate is significantly lower than a dead number. At the same time, it is recommended to control the daily sending volume to 200-500 messages per account, and the account needs to be set up with a nickname, avatar, and warmed up for more than 3 days.

Use gender and age fields to optimize speech and sending time

• Talk customization: Male audiences are more suitable for short text with data comparison or discount codes; female audiences can use warm titles and pictures to show product usage scenarios.
• Sending period: The United States spans 4 time zones. It is recommended to send at 6-10 pm Eastern Time (ET) and at noon on weekends, corresponding to high activity periods. If the data exported by KK-DATA contains registration time zone information (provided by some tests), the sending plan can be further localized.

What pitfalls are easy for cross-border teams to step into when using US TG data?

The following five mistakes are the most common among teams who are new to using the screening tool. They can be a waste of budget, or lead to permanent account bans.

1. Ignoring data deduplication leads to repeated deductions: KK-DATA’s data deduplication warehouse should be used before each new task. The system automatically filters the numbers that have been detected to avoid repeated deductions for the same number.
2. Direct use of unactivated number segments: Number lists purchased or stolen directly from the Internet often contain a large number of out-of-service/unregistered Telegram numbers. Must go through double detection of activation + activity.
3. Data timeliness not verified: The active status of Telegram users changes rapidly, and 30% of the active data a month ago may have become dead accounts. It is recommended to re-check the list for activity before each contact.
4. Account restrictions due to high-frequency sending: Start testing the waters with a few hundred pieces of data, and increase the sending volume day by day. Do not send messages to 100,000 numbers at once, as this will waste your balance and trigger risk control.
5. Beware of fake customer service: KK-DATA official customer service can only be contacted through https://t.me/kkdata_robot and @kkdata_cc. Any proactive and private customer service claiming to be a scam is a scam.

How to evaluate the quality of US tg data?

Quality assessment needs to focus on the following indicators (can be viewed in the KK-DATA task report):

Indicators	Definition	Reasonable Range (US Market)
Activation rate	Proportion of numbers registered with Telegram	20%~45% (depending on the quality of the number segment)
Activity rate	Proportion of activated users who have been online recently	60%~80% (7-day active window)
Gender recognition rate	Proportion of subscribed users whose gender is detected	30%~70%

If the activation rate is lower than 20%, it may mean that the number segment is too old or contains a large number of non-mobile numbers; if the activity rate is lower than 50%, it is recommended to change the active window. KK-DATA’s billing is based on item deductions. Different detection types have different unit prices (see real-time prices on the console for details). The estimated cost will be displayed in the upper left corner before task submission. There is no subscription package binding.

FAQ

**Q: What is the difference between US TG data and data from other regions around the world? ** Answer: The US tg data refers to the screening results of Telegram users whose numbers belong to the United States (+1 segment). Its user groups, active periods, and traffic costs are significantly different from markets such as Southeast Asia. American users are relatively more accustomed to reading English messages and have a higher tolerance for private message advertisements, but they still need to comply with regulations such as CAN-SPAM.

**Q: How to avoid wasting balance by repeatedly detecting US numbers? ** Answer: Using KK-DATA’s data deduplication warehouse function, the system will automatically filter the numbers that have been detected, and new tasks will only deduct fees for the numbers submitted for the first time to avoid repeated expenditures. Just check “Enable deduplication” when submitting the task.

**Q: When filtering US TG data, how to choose the activity window? ** Answer: It can be set according to the online habits of the product audience. For example, B2C consumer products are recommended to be active in the past 7 days or 30 days, while B2B or high-customer single products can be extended to 90 days. Specific windows can be selected in the task settings, and the final result will show the distribution of users within each type of window.

**Q: Is the gender field in the US tg data accurate? ** Answer: The gender field is based on Telegram user public information and algorithm model inference. It is not official data. The accuracy is usually between 70-90%. It is recommended to be used only for general crowd orientation, rather than precise distinction at the individual level. The same applies to the age field of the same piece of data.

**Q: What formats are supported after exporting US TG data? ** Answer: CSV and TXT formats are supported. CSV contains fields such as number, tgid, activation status, active status, gender, and age range (if any). tgid can be used for subsequent direct searches or adding friends.

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If you are planning to explore the US market through Telegram private messages, you might as well start by generating a batch of US number segments and use KK-DATA’s screening capabilities to quickly screen out high-value US tg data. You can now create tasks in the console and optimize while testing.

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