Full interpretation of tg filter result fields: How to read number status, activity, gender and tgid?

After you complete a tg filter task, a field table will be returned on the console: number status, active identification, gender, age, tgid… What do these fields represent? How to use them to optimize customer acquisition? This article will break it down for you one by one, so that every Telegram filter can produce executable data.

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What are the core types of tg filtering result fields?

A complete telegram number filtering task, the results include the following four categories of fields. Understanding their meaning is the first step to using data correctly.

Number status field: meaning of activated, valid and invalid

Field value	Meaning	Typical scenario
Activation	The mobile phone number has registered an account in Telegram	Basic screening, confirm that the number is available
Valid	This account can currently send and receive messages normally (not banned/not logged out)	High priority clues
Invalid	Not registered or the account has been canceled	Discard directly to avoid waste

Key understanding: “Open” does not mean “valid”. Some zombie accounts that have not logged in for a long time are still displayed as “open”, but cannot receive private messages. It is recommended to use valid as the minimum filter condition and then superimpose activity filtering.

Activity field: How to understand the last online time window

The activity detection of TG screen number is based on the “Last Seen” of the account. The platform allows users to customize active windows, such as:

• Active in the last 7 days: Marked as “active”
• Active in last 30 days: Marked as “active”
• Not online for more than 30 days: marked as “inactive”

The active identifier in the result field (such as active_7d, active_30d) indicates whether the number matches the window you set. Note: Activity is measured in days and is not accurate to minutes or hours. It is mainly used to determine whether the user is still using Telegram recently.

Demographic fields: gender and age

Telegram filtering can infer gender and age range from users’ public information (nickname, avatar, profile). In the result field:

• Gender: Male / Female / Unknown
• Age: About XX years old (e.g. “about 30 years old”)

Important reminder: These data are not real-name authentication and are only used as reference indicators for crowd portraits.

Platform identification field: tgid and uid

• tgid: A unique numeric ID assigned to each account internally by Telegram and cannot be changed.
• uid: Supports user-defined IDs in certain tasks (such as associating your own CRM system) to facilitate cross-system matching.

The export value of tgid is extremely high: it can be used for API programming (sending messages, pulling groups), cross-task deduplication, and docking with third-party automation tools.

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How to determine whether the target number is really active through tg filtering?

Many overseas teams only do “activation” testing, only to find out after sending a large number of messages that users have abandoned their accounts. Really effective leads need to meet: Open + Valid + Active.

Operation steps

1. Select the Telegram filter number task type in the console.
2. Check the detection items: enabled detection + active detection (specified window, such as 7 days).
3. After submitting the task, both fields will be displayed in the results.
4. During the export phase, you perform secondary filtering on the active fields and only retain the numbers active_7d = 是.

The value of double filtering

Filter conditions	Quantity	Private message reply rate (reference)
Open only	10000	5% – 8%
Open + Valid	8000	10% – 15%
Activated + Valid + Active in the last 7 days	4000	20% – 30%

Although activity filtering will shrink the lead pool, it can significantly improve the efficiency of each touch. For high-cost customer acquisition (such as one-to-one private messaging), this step cannot be omitted.

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How to read the gender and age fields in the TG screen number?

Gender and age fields are suitable for population stratification rather than precise targeting. For example, if a cross-border e-commerce company wants to promote men’s skin care products, it can combine the conditions: 性别=男 + 年龄=约20-35岁.

Gender field: male/female/unknown identification logic

The platform is comprehensively judged through the following dimensions:

• Gender-related words in nicknames (such as “handsome guy”, “Emily”)
• Face gender analysis in avatar pictures (based on AI model)
• Pronouns in profile (he/him, she/her)

Explanation of results: Approximately 60%–70% of accounts have an identifiable gender (depending on the completeness of the public profile), and the remainder are listed as “unknown.” Never think of the “unknown” as worthless data, it may simply be a lack of publicly available information.

Age field: How to interpret data such as about 30 years old

The age field is returned in the form of an interval judgment. For example, “about 30 years old” means that the model infers that the user is between 25 and 35 years old. This is a probability estimate based on multi-dimensional features such as nickname, avatar, activity pattern, etc., not the ID card birthday.

Usage Suggestions:

• Cross-screening based on gender (for example, “male + about 30 years old” is suitable for game products);
• Only as a sorting reference, do not exclude a large number of numbers as a rigid condition;
• For underage or elderly user groups, the accuracy rate will decrease (small data samples).

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What is the use of tgid/uid in the export field?

tgid is the “ID number” in the Telegram ecosystem and has a wide range of uses:

• Duplication removal: Different tasks may repeatedly detect the same number, which can be completely avoided by using tgid as the unique key.
• API Calls: Almost all Telegram client libraries/Bot APIs support operations via user_id (like sendMessage(chat_id=tgid)).
• Group Management: Import tgid into the group member list, and you can kick, ban or invite people in batches.
• Cross-platform matching: If your business also uses WhatsApp, Line, etc., you can associate the tgid with the other party’s logo on other platforms to build a unified user portrait.

uid is a user-defined field, often used to connect with your own CRM or labeling system. For example, when you import a number with a uid=order_123, the uid will be returned in the filtering result, making it easier for you to locate the original order.

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How to use tg filter result field to optimize customer acquisition strategy?

Combining the above fields can greatly improve marketing conversion rates. The following is a practical workflow example:

Scenario: Telegram group message to promote an overseas game (Target: Indonesian male, 18-30 years old, active user)

1. Number generation stage: Use KK-DATA’s global number generation function to randomly generate 500,000 numbers according to the Indonesian number segment (+62) (free of charge).
2. Screening Stage:
   • Submit the TG screening task and check: open testing + active testing (7 days) + gender + age.
   • After the results are exported, use Excel or script to filter: 有效=是 + 活跃(7天)=是 + 性别=男 + 年龄≥18岁 + 年龄≤30岁.
   • Estimated remaining valid leads: approximately 50,000–80,000.
3. Export and Distribution:
   • Export CSV, including number, tgid, gender, age fields.
   • Use tgid with batch sending tools (such as Pyrogram) to send private messages.
4. Tracking effect:
   • Record the reading rate and click-through rate of each private message, and reversely verify the rationality of the selected filter conditions.

Key Point: Don’t use the strictest conditions at the beginning. First use “open + active” to test small batches, see the response rate, and then gradually add gender/age filters to find the balance between revenue and lead size.

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What are the common misunderstandings about telegram number filtering?

Misunderstanding	Correct understanding
”Activated” = in use	”Activated” is just a fact of registration, many accounts have been abandoned.
The active field represents the online duration	The active field only marks whether you have been online within the specified day window, and does not mean that you are continuously online.
The age field is an accurate birthday	The age is an interval inference (such as about 30 years old), and the error can be up to ±5 years.
Numbers with gender = unknown are useless	Unknown may mean that the information is not public, but it does not mean that it is not the target user.
tgid can be modified	tgid is a permanently fixed value and cannot be changed.
The mobile phone number will be desensitized in the export result	Normal export will retain the complete mobile phone number (pay attention to data security compliance).

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Result field export formats for different detection tasks

The results of TG filter numbers support CSV and TXT formats, with one number per line and each field separated by commas or tabs. Typical field list (subject to the actual display on the console):

phone,status,active_7d,active_30d,gender,age_range,tgid,uid
+628123456789,有效,是,是,男,约30岁,123456789,order_001
+628987654321,无效,否,否,未知,,987654321,order_002

Data processing tips: Import CSV into a database or pandas, and use SQL or Python to perform multi-field combination filtering, which is more efficient than manual Excel filtering, especially when the amount of data exceeds 100,000 items.

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FAQ

Question: Does the result field of tg filtering include the mobile phone number itself?

Answer: Yes, the exported results will include the original mobile phone number and corresponding detection fields (such as status, active identification, gender, tgid, etc.) to facilitate association and deduplication.

Question: Can the activity field filtered by tg be accurate to the specific minute?

Answer: No. The activity window is usually measured in days (such as the last 7 days, 30 days), and the detection results are marked as “active” or “inactive”, and precise online duration is not supported.

Question: What can tgid be used for after being exported?

Answer: tgid is the unique identifier of a Telegram account. It can be used for API programming operations (such as sending messages, adding groups), and can also be used to deduplicate cross-task numbers to avoid repeated detection.

Question: Are the gender and age fields accurate?

Answer: The accuracy is affected by the completeness of the user’s public information. Accounts with English nicknames and clear avatars are usually more recognisable. It is recommended as an auxiliary filtering condition and not used for strict crowd limitation.

Question: How long does it take to export the result fields after the tg filtering task is completed?

Answer: After the task is completed, the CSV/TXT file can be downloaded on the console, and the results are available immediately. Large tasks (millions of levels) may take several minutes to process, and the system will notify you via Telegram when completed.

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Experience tg filtering now

By understanding each result field of tg filter, you will master the ability to extract high-quality leads from massive numbers. Next, give it a try:

👉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 to learn more: https://kkdata.cc/