U.S. TG data remarketing practice: How to use U.S. Telegram data to update silent user lists and tiering strategies

The core of remarketing (Retargeting) is to reactivate the silent list with “fresh” user status, rather than blindly mass messaging. For overseas teams, US TG data (that is, filtered US Telegram number information) is not only a list of numbers, but also a set of quantifiable and hierarchical user portraits. This article will focus on the practical application of American Telegram data in remarketing scenarios, from data updates, compliance prerequisites, practical steps to layered strategies, and provide practical operation guidelines.

Why does remarketing need “fresh” US TG data?

Remarketing relies on the user’s active status and contact information validity. Old number files may contain a large number of users who have logged out, are inactive, or have changed their numbers. Direct contact will lead to high unsubscription rates, low conversion rates, and even trigger account bans on the platform. By regularly updating the inventory list with US TG screening data, invalid numbers can be eliminated and only truly reachable target users can be retained.

The definition of silent users and the necessity of stratification

Silent users usually refer to users who have not interacted for more than a certain period of time (such as 30 days or 60 days) after registration, while lapsed users refer to users who have completely logged out or deleted the application. Reaching after layering can not only avoid harassing low-active users, but also customize wake-up strategies for different groups. For example:

• Mild silence (no activity within 7 days): Promotion or event notifications can be sent normally.
• Moderate silence (no activity in 30 days): Need more attractive offers or cold start engagement prompts.
• Severe Silence (inactive for more than 60 days): Only make one attempt, if it fails, it will be removed from the list.

How to assist stratification by activity and age/gender fields in US TG data

The detection fields provided by KK-DATA include:

• TG activation: Determine whether the number is registered with Telegram.
• TG active: You can specify a window (such as 7 days, 30 days) to detect the user’s recent online time.
• TG Gender: Contains gender, age, avatar and other fields (age is a reference value, not ID-level accurate data).

Using these fields, users can be segmented by activity level and group labels, for example, users who are “active in the last 7 days + male + about 30 years old” can be exported for remarketing of specific products.

Compliance prerequisites: What must be paid attention to when obtaining and using US Telegram data?

Before using US TELEGRAM data for remarketing, compliance boundaries must be clarified:

• The source of data should be proactively provided by users (such as registered mobile phone numbers) or public channels (such as public contact information), and should not be illegally crawled or purchase unauthorized numbers.
• Only detects the number’s registration status and public activity characteristics on Telegram, and does not involve private information such as chat content and contacts.
• When sending messages, you must abide by the Telegram platform rules and avoid high-frequency batch private messages.

How to update remarketing lists with US TG filtering data? (Practical steps)

The following takes the KK-DATA platform as an example to demonstrate the complete process from importing the silent list to exporting active users. All tests are deducted on a per-item basis. Please see the real-time price on the console for unit prices.

Step one: Organize existing silence lists and import them

Organize the silent user mobile phone numbers into a CSV file, making sure to include the international area code (such as the US area code +1). For example:

+12025551234
+12135556789

Log in to KK-DATA Console, select the “Number Generation” or “Number Filtering” module, and upload the file. If there are not enough existing numbers, you can use the “Global Number Generation” function to randomly generate new numbers based on the US number range (generation is free, number screening is charged).

Step 2: Batch detection of TG activation, TG activity and gender fields

Check the following detection types in the filtering task:

• TG activation (registration test)
• TG active (can set the last 7 days/30 days/custom window)
• TG Gender (including age, gender, tgid)

A maximum of about 1 million numbers can be submitted in one task. The system will display the estimated cost before submission. It is recommended to test a small amount (such as 100 items) to confirm the data quality before executing it in batches.

Step 3: Export in layers based on filtering results

After the task is completed, different combinations can be derived based on conditions:

• Highly active users: TG activation + active within 7 days → used for high-frequency reach.
• Medium and low active users: TG activation + active within 30 days → used for low-frequency wake-up.
• Crowd Targeting: Overlay gender/age fields, export “male + active for 30 days” or “female + active for 7 days”, etc.

The export format supports CSV and TXT, including fields such as tgid, mobile phone number, active time, etc., and can be directly imported into reach tools (such as Telegram Bot, CRM).

Several typical strategies for silent user stratification and remarketing

According to the detection results, users can be divided into four levels:

Hierarchy	Active window	Crowd characteristics	Reach strategy
Highly active	Within 7 days	Continuous use of Telegram, sensitive to marketing	Content push 1-2 times a week, including new product recommendations and coupons
Moderately active	7-30 days	Occasionally opened, may have been slightly forgotten	1 cold start per month: questionnaire or limited-time benefits
Low activity	30-60 days	Close to the edge of churn	Powerful wake-up: double points or final warning message (only 1 time)
Inactive or logged out	More than 60 days	No online signs or logged out after logging in	Remove from the remarketing list to avoid waste

Combined with gender/age, further segmentation can be achieved. For example, we target male users around 30 years old to launch technology products, and target female users to promote cosmetics or maternal and child products. Note: The age field is a reference value and should not be overly relied upon.

How does the KK-DATA screening platform ensure data freshness and accuracy?

KK-DATA’s mechanism ensures that every detection is real-time or near real-time:

• Global number generation: 240+ country/region code segments, which can quickly supplement target area numbers.
• Real-time detection: Each detection is based on the current Telegram status, non-cached data.
• Cross-task deduplication warehouse: Automatically filter detected numbers to avoid repeated deductions.
• Pass-by-item billing without subscription: Pay what you use, suitable for testing to large-scale use.

Common Misunderstandings and Pitfall Avoidance Guide for US Telegram Data Remarketing

Novices are prone to making the following mistakes when using US Cable Data:

1. Only detect registration but not activity There are a large number of zombie accounts (never used after registration) among the registered numbers, and the direct contact effect is extremely poor. Be sure to add “TG active” detection.

2. Ignore the area code format The US mobile phone number must contain the +1 area code. Without the area code, it will be regarded as an invalid format and the generation will fail.

3. Repeated testing wastes balance Use the deduplication warehouse function to prevent the same number from being detected multiple times. The KK-DATA console supports deduplication of historical tasks.

4. Direct mass distribution without layering Unifying active users and silent users will lead to resentment and even complaints from low-active users. Be sure to layer according to the active window.

5. Ignore billing rules Check the balance and estimated cost before submitting the task to avoid insufficient balance to complete the task. Use USDT (TRC20) for deposit, the minimum is about 50 USDT.

FAQ

**Q: What is US TG data? How to get it? ** Answer: US TG data refers to filtered Telegram US number information, including registration status, activity, gender, age and other fields. Existing number libraries or randomly generated numbers can be detected and obtained through number screening platforms such as KK-DATA.

**Q: Does the use of US Telegram data in remarketing require user consent? ** Answer: Compliant use requires ensuring that the number itself comes from legal channels (such as the user actively providing or making public contact information), and that the content of the message sent complies with the rules of the Telegram platform. It is not recommended to send large-scale private messages in batches, and should be reached with controllable frequency and valuable content.

**Q: What is the difference between US TG screening data and ordinary number files? ** Answer: Ordinary number files only contain mobile phone numbers, and it is impossible to determine whether they are valid and active on Telegram. The filtered data additionally provides dimensions such as activation, activity, gender, etc., which can accurately locate the truly reachable target users.

**Q: How to set the activity detection window of silent users reasonably? ** Answer: It is recommended to set it according to the remarketing cycle. For example: for users who have not interacted in the past month, use the “active within 7 days” test; for users who have been dormant for more than 3 months, use the “active within 30 days” test. Avoid too strict detection and screen out most inactive users.

**Q: Will KK-DATA’s detection of tg activity reveal user privacy? ** Answer: KK-DATA only detects publicly available registration status and interaction activity characteristics (such as last online time), and does not obtain private information such as chat content and contacts. The exported fields are desensitized tgid and tags, which comply with general data compliance requirements.

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The core of remarketing is to use data to drive decisions, rather than blindly mass messaging. Through the activity and crowd stratification of US tg data, you can more accurately wake up silent users while avoiding reaching invalid numbers. Try generating a number for free now and experience the flexibility of pay-as-you-go billing:

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