TG 30-year-old data VS Zalo gender and age: Comprehensive comparison of Telegram and Zalo screening capabilities (2025 Overseas Customer Acquisition Guide)

#TG 30-year-old data VS Zalo gender age: Comprehensive comparison of Telegram and Zalo screening capabilities (2025 Overseas Customer Acquisition Guide)

In the overseas customer acquisition scenario, Telegram and Zalo are two frequently used social channels. However, many teams have questions about the user attribute detection capabilities of the two: **What exactly is “tg 30-year-old data”? Does Zalo have an age field? How to accurately screen target groups using gender + age combination? **

This article will comprehensively compare the gender/age detection capabilities of Telegram and Zalo from the perspectives of screen size, activity judgment, and applicable markets, and provide practical suggestions that can be implemented. Whether you focus on the Southeast Asian market or the global Chinese area, you can find a screening plan that suits you here.

What is “tg 30-year-old data”? Detailed explanation of Telegram’s gender/age detection capabilities

“tg 30-year-old data” is not an independent product, but refers to the age field included in the gender detection results in the Telegram screen. Through this field, you can roughly classify users into the age group of “about 30 years old” for crowd targeting.

It needs to be made clear: This age field is not official public data, nor is it the precise age at the ID card level, but is the result of algorithm inference based on user information, behavior patterns and other information. However, in the absence of other user profiles, it has provided operable screening dimensions for overseas teams.

What user attributes can be obtained by Telegram filter number?

Through the Telegram filter function of the KK-DATA platform, you can detect the following fields:

Activation status: Whether you have a Telegram account (valid number).
Activity: Last login time (active window can be specified, such as 30 days, 7 days).
Gender: male, female (marked as unknown if some users cannot identify it).
Age: Age field (usually returns an approximate value, such as 30, 35, etc., which can be used to filter by age group).
Additional information: avatar link, tgid, etc. (visible when exporting).

The emergence of age field makes “tg 30-year-old data” possible. You can target young and middle-aged users by filtering by age range (such as 25-35) through Excel or a database after exporting the results in the console.

Practical application scenarios of “tg 30-year-old data”

Community Operation: Telegram group promotion for people aged 25-35, such as cross-border e-commerce discounts, financial management courses, and internal game testing.
Private message promotion: Combined with tg activity detection, only send messages to users of the right age who have been online recently to increase the response rate.
User portrait completion: When you only have a mobile phone number in your CRM, use the tg age field to supplement the user’s age tag to assist decision-making.

What can Zalo gender detection do? Zalo screening capabilities at a glance

Zalo is an absolutely mainstream social communication tool in the Vietnamese market, with over 70 million users. Unlike Telegram, Zalo Screener currently supports gender identification but does not provide an age field. This means that on Zalo, you can filter users by gender (male/female), but you can’t get age information directly.

User fields supported by Zalo filter numbers

Activation Status: Whether the number is registered with Zalo (valid).
Activity: recent usage (such as online within 24 hours, online within 7 days, etc.).
Gender: Male/Female (not recognized by some users).
uid export: can be used for subsequent secondary marketing or account association analysis.

Customer Acquisition in Vietnam: Why Zalo’s Gender Targeting is Crucial

Vietnam’s e-commerce, finance, and gaming industries are highly dependent on Zalo channels. If you promote women’s skin care products, you only need to export the “female” users in the Zalo screening results, and then add friends or send messages in batches, eliminating the risk of account bans caused by indiscriminate harassment. Although the age field is missing, combined with industry common sense (for example, beauty products mainly target women aged 20-40), gender targeting is effective enough.

Telegram and Zalo screening capabilities comparison table (gender/age dimension)

Detection platform	Gender recognition	Age field	Activity detection	Main markets	Typical scenarios
Telegram	Support (including unknown)	Support (approximate value such as about 30 years old)	Support (can specify the window)	Global, Chinese area, Russian area	Targeted promotion to people aged 25-35
Zalo	Supported (including unknown)	Not supported	Supported (last 24h/last 7 days, etc.)	Vietnam, Southeast Asia	Targeted local marketing in Vietnam by gender

As can be seen from the table: Telegram’s unique advantage lies in the age field, while Zalo’s advantage lies in its depth of penetration in Southeast Asia. The two are not substitutes, but complementary.

How to use “tg 30-year-old data” and Zalo gender tags to jointly acquire customers?

If your target market covers both Telegram and Zalo (for example, a cross-border independent station operates two channels at the same time), you can design a “cross-screening” pipeline:

Step One (Zalo Gender Screening): Use KK-DATA’s Zalo screening number to filter out “female” or “male” users and export the number list.
Step 2 (Telegram screening age + activity): Submit the number exported in the first step to the Telegram screening task, turn on gender and age detection, and set the activity level to “online in the past 30 days”.
Step 3 (Cross-Filtering): Filter out the numbers with the target age of 25-35 years old and gender in the results, and export the final list.

In this way, Zalo’s large base can be used to filter gender, and Telegram can be used to supplement age and activity to obtain more accurate potential customers.

Practical tips

If your number pool contains both Telegram and Zalo users, it is recommended to do a full screening first (to check platform availability), and then configure the screening number types for different platforms. KK-DATA supports cross-platform tasks and can detect multiple social channels simultaneously with a single submission.

What limitations and misunderstandings should be paid attention to when screening numbers?

Accuracy bounds for age field

tg age field is not official data, it is the result of algorithm inference, and there may be deviations (for example, the actual age of 25 is judged as 30 years old).
It is recommended to use intervals (e.g. 25-35) instead of relying on a single exact value.
For high-value conversion scenarios, first verify the consistency between the age field and real user behavior in small batches.

Zalo filter number does not support age filtering, how to work around it?

Since Zalo doesn’t have an age field, you can add it indirectly in other ways:

Combined with activity: Only filter users who have been online recently (usually younger users are more active).
Combined with the operator of the mobile phone number: The age distribution of users of different operators in Vietnam is different (please refer to public data).
Batch testing: First screen a large number of numbers by gender, and then use the response rate to reversely judge the age group effect after placing a small amount.

Things to note

Screen number results are only used for preliminary screening and cannot be used as final evidence for the target population. Be sure to do a small-scale test before launching, and observe the conversion data before using it on a large scale.

Which screening scheme should the overseas team choose?

The choice depends on three factors: target market, customer acquisition channels, and data needs.

Mainly focusing on the Vietnam/Southeast Asia market → Give priority to using Zalo gender targeting, which can improve reach efficiency in conjunction with activity.
Mainly targeting the global Chinese, Russian-speaking, European and American markets → Give priority to using Telegram age + gender + activity, and use “tg 30-year-old data” to target the core group.
Mixed customer acquisition through multiple channels → Use cross-screening strategy (first screen gender with Zalo, then screen age with Telegram) to maximize the detection capabilities of each platform.
Only need to verify the validity of the number → Just choose the basic “activate detection” of any platform, the cost is lower.

FAQ

**Q: Is the TG 30-year-old data accurate to the specific age? ** Answer: No. The gender detection result of the Telegram screen number contains an age field, which can be interpreted as a rough age group (for example, about 30 years old), not a precise age at the ID card level. It is recommended to use it in combination with fields such as activity level and gender.

**Q: Does Zalo Screener support age screening? ** Answer: The current Zalo screen number does not support the age field and only supports gender identification (male/female). If age data is needed, it can be supplemented with Telegram screen number or through other channels.

**Q: What customer acquisition scenarios is suitable for tg 30-year-old data? ** Answer: It is suitable for overseas promotions that need to target people aged 25-35, such as cross-border e-commerce, game distribution, financial management, etc. Cooperating with TG activity detection, the reach efficiency can be further improved.

**Q: How accurate is Zalo gender detection? ** Answer: The Zalo gender recognition provided by the KK-DATA platform is based on user public data and algorithm inference, and can be used for preliminary screening. It is recommended to test in small batches before launching on a large scale.

**Q: What is the cost of screen size? What is the price for batch testing? ** Answer: Different platforms (Telegram, Zalo, WhatsApp, etc.) and detection types (activated/active/gender) have different unit prices. The specific cost is based on the real-time price of the console, and the estimated cost will be displayed before submitting the task. For details, please see official website billing page.

Whether you are just starting to screen users, or you have accumulated a number pool and need to accurately stratify, understanding the difference between Telegram and Zalo screening numbers can help you save costs and improve conversions. Try KK-DATA’s multi-platform screening function now.

👉Log in to the console to start screening numbers If you need real-time communication, please contact two-way customer service: @kkdata_robot For more function descriptions, please refer to Usage Documentation.