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In the process of expanding the Vietnam market,Zalo is still one of the most active social platforms for local users. How to accurately filter outA gender and age specifiedZalo Users, has become a key operating point for many marketing teams, brands and private domain traders.
In the past, we could only rely on manual judgment of avatars, nicknames, and interactive content."Guess" gender and age. In 2025, with the development of AI recognition and platform technology,Zalo Gender Age ScreeningIt has become batch, precise and efficient.
This article will explain in detail to you:Zalo's latest screening technology principles, usage scenarios, efficient operation methods, and introduces how to complete screening with one click through the Digital Planet Platform.
Why is gender and age screening the first step to accurately reach?
The first step in marketing is not"What content is sent" but "to whom".
Especially inOn social platforms like Zalo, excessive content interruption will lead to risks of blackmailing, blocking, and banning. Only inThe target population is clearCommunication is valuable only under the premise of
l Female users are more suitable for beauty, maternal and infant, education and other products
lUsers under 30 years old prefer entertainment, e-commerce, and game content
lUsers over 35 years old pay attention to health, insurance, parenting, investment
A batch account without gender and age tags is like a blind man touching an elephant, unable to accurately invest every resource.
The current mainstreamComparison of Zalo gender and age screening schemes
1. Traditional manual judgment (ine efficiency)
The earliest method was to downloadZalo avatar, view nickname, and read chat history to determine gender and age:
lLook at whether the avatar is a man or a woman or whether it is young
lSee if the nickname has gender prompt words
lJudging the interaction frequency, the age group is estimated
But this way:
lIt is difficult to operate if the data is small
lStrong subjective judgment and low accuracy
lCan't operate in batches, only suitable for small-scale experiments
Suitable for personal use, not suitable for enterprise or large-scale operations.
2. Third-party plug-in tools (high risk)
Some plug-in scripts or crawlers claim to be able to"Identify the age of Zalo" but mostly in the following ways:
lSimulate loginZalo account, read user information
lBulk crawlingZalo public information for analysis
lInstall plug-in automatic judgment tag
There are problems as follows:
lNeed to log inZalo account, easily banned
lNot high recognition accuracy, not includedAI judgment
lInconsistent data structure, difficult to export and use
lHigh legal compliance risks
Most project teams are inSuch tools will no longer be used after 2023.
3. Digital Planet Platform AI Tag Identification (Recommended)
The safest, stable and supportive method for batch operations is to useDigital Planet PlatformZalo account filtering function.
The core advantages are as follows:
l No login requiredZalo account, based on mobile phone number detection
l One-click gender recognition (male/Female/Unknown)
l Automatically determine age (18-25, 25-35, 35-45, 45+)
l FilterableCombination conditions such as "active + female + 25-35 years old"
l Support one-time detectionMore than 100,000 data
l Export the result standard format for easy direct importCRM, SaaS system
Platform usageAI conducts cross-modeling analysis on more than ten dimensions such as avatar, nickname, device behavior, etc., and outputs highly accurate user portrait labels. It is currentlyClosestHow to filter Zalo official dimensions.
Usage process:3 steps to get Zalo tag filtering
TheStep 1: Prepare the target mobile number
You can upload your existing mobile number pool, or you can customize designated groups through digital planets (such as northern Vietnam).+Android users + women over 30 years old)
TheStep 2: Platform inspection and marking
The Digital Planet backend system completes mobile phone number detection within a few minutes, including activation status, online activity, gender judgment, and age classification.
TheStep 3: Export data to use
ExportableActive accounts of "opened + women + 25-45 years old" support private message marketing, group traffic attractions, SMS reach, Facebook support delivery, etc.
Practical case: How to use the e-commerce industry wellZalo Tag Filter?
A brand owner who makes skin care products plans toTo expand proxy users on Zalo, their goals are very clear:
lWomen aged 25-40
lOnce inActive on Zalo
luseAndroid phone (easier to install APP)
They hand over the screening mission to the Digital Planet Platform, using onlyIn 3 hours, the following data processing was completed:
lExclude unregisteredZalo account
lRemove zombie numbers without active behavior
lreserveUser pool of "Female + Active + Android + 25-40 years old"
lFinally obtained42,000 accurate accounts
After importing these data into their group pull system, the conversion rate has increased by more than30%, and successfully developed 600+ effective agents.
SuitableWhat are the scenarios for the Zalo gender and age screening?
The following industries and teams are highly recommended to useZalo Gender Age Tag Filtering Features:
l Education and training: Find a parent group
l Beauty and skin care: locking in female users
l Maternal and infant supplies: reaching new mothers
l Health care: Positioning middle-aged users
l Foreign trade agent: screening entrepreneurial women
l Traffic team: Improve the quality of private domains
lCRM system: Complete data label dimensions
Only by finding the right person can you get the right marketing
As one of the most mainstream communication tools in Vietnam, Zalo has a complex and undisclosed account data structure, and it is difficult to obtain core tags by relying on traditional means. But in 2025, with the development of AI screening and platform technology, we can finally efficiently and securely identify users' gender and age, laying a solid data foundation for marketing delivery and private domain operations.
Through the [Digital Planet] platform, you only need a list of mobile phone numbers to identify the behind-the-shoulder"People" can achieve accurate delivery and low-cost conversion.
Action now, startZalo user data intelligent filtering journey. If you need to test samples or try them quickly, you can contact customer service directly.
Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:
The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.
Platform providesSelf-sieve mode, sieve mode, fine sieve mode and custom mode, to meet the needs of different users.
Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
You can use the official channelt.me/xingqiuproGet more information and verify the identity of business personnel through the official website. Official Businesstelegram:@xq966
(Warm reminder: You must identify the username when searching for the official customer service number on Telegramxq966), you can also verify through the official website:https://www.xingqiu.pro/check.html, confirm whether the business you are in contact with is a planet official
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