Sign Up
In Southeast Asia, especially the Vietnamese market,Zalo is the most important social tool that cannot be ignored in daily communication and business marketing. As more and more brands begin to launch private domain products on Zalo, accurately reaching the target group becomes the key to success. As for "accuracy",identifyGender and age of Zalo account, obviously it is basic work that cannot be avoided.
So,Can Zalo accounts identify gender and age? How to identify? Can it be done in batches? This article will actually talk about these issues.
Why must we identifyZalo account gender and age?
Gender and age determine whether your placement is targeted to people.
Imagine you are promoting aA 25-year-old woman who sells skin care products, but sends messages to a 50-year-old male account, is not only a waste of resources, but may also be blocked. This situation may seem extreme, but in Zalo marketing without screening, it actually happens every day.
And if you could know in advance:
lIs this account male or female?
lyesAround 20 years old, or 40+?
lIs it a young mother or a college student?
Then your copywriting, rhythm, and delivery time will become more targeted.
Precision means efficiency.
Can Zalo obtain gender and age information?
Zalo does not open the "year of birth" field like Facebook, nor does it have a clear professional profile like LinkedIn. But this does not mean that the gender and age of the user cannot be identified.
passMulti-dimensional comprehensive judgment such as "behavior + avatar + device + activity" is currently a relatively mature method.
Digital Planet PlatformAlready implementedThe "AI tag recognition" of Zalo users' gender and age is a model trained based on thousands of samples, and the accuracy is very impressive.
Specific identification dimensions include:
lNickname and common gender lexicon matching
lWhether the avatar is female/Male photos (AI visual recognition)
lActive time period (the usage patterns of office workers, students, and mothers are quite different)
lRegistered device type (high-end devices, elderly devices, devices commonly used by students)
lActive duration and social density
These clues may not be so obvious when viewed individually, but when analyzed together, the judgment results are very valuable.
Three common identification methods, how should you choose?
Method 1: Manual judgment (suitable for small batches)
If you don’t have many accounts, such as dozens, you can manually look at the profile picture, nickname, add friends to try out the conversation, and roughly know the gender and age group.
The problem is, this way:
lslow: It’s very time-consuming to click through them one by one;
lunstable: There is no standard and it is easy to make subjective misjudgments;
lUnable to batch export: Unable to structure the output data.
Suitable for testing stage, not suitable for official launch.
Method 2: Script identification (for technical players)
Some scripting tools on the market claim to be able to"Read Zalo data in batches", but in fact there are major limitations:
lMany functions require logging into an account to operate, which is risky;
lThe interface is unstable and easilyZalo risk control account ban;
lNot supportedAI recognizes avatars and content, mostly pulling basic fields;
lLegal compliance risks also need attention.
Therefore, technical teams can test the waters, but operations and delivery departments should use it with caution.
Method Three: Digital Planet PlatformAI recognition (recommended)
if you are doingZalo marketing enterprise users, studios, or channel providers who need high-quality data screening, then throughDigital Planet PlatformofZalo screening service is currently the most stable and efficient option.
You just need to importZalo mobile phone number list, the platform will automatically detect and output:
lRegister or notZalo
lWhether the account has an avatar set
lActive state (nearly3 days/7 days/30 days)
lSystem guesses gender
lThe system infers the age group
lUse device type (Android/iOS/device model)
Filtering logic supports:
lFilter by gender (only female/only male)
lFilter by age group (if only18-25 years old, or 35-50 years old)
lMulti-condition overlay filter (such as"Active female, 20-35 years old, iOS user")
Data supports structured export and can be directly used for:
lPrivate domain customer import
lSocial fission and group gathering
lPrivate message marketing script reach
lCRM customer system portrait supplement
A real scenario: fromFind target users among 100,000 Zalo accounts
A friend who makes cross-border skin care products is planning to launch new products in Vietnam. The target users areactiveWomen aged 25-40.
She got it from the e-commerce platform100,000 mobile phone numbers, previous attempts have been ineffective because I don’t know if the number is registered by Zalo, and I don’t know if it is the target gender and age.
After using Digital Planet’s filtering service, only about32,000 Zalo accounts that meet the conditions of "female + active + 25-40 years old". Combined with copywriting push and coupon placement, the return visit conversion rate increased by more than 300%.
What she said is particularly worth sharing:“I used to cast a net to catch fish, but now I fish directly, which is much easier.”
Identifying gender and age is not the goal, but the starting point
filterThe gender and age of Zalo accounts are not to show off skills or data, but to make every message and every contact more meaningful.
When you understand who the other person is, you know how to speak, when to speak, and what to say.
This is the core of precision marketing.
If you also want to usesmarter way to do itZalo placement, let’s try Digital Planet nowZalo filter function bar.
Supports mobile phone number detection, activity recognition, gender and ageOne-click filtering of AI tags - ready to use after registration, easy to operate, and truly let the data serve you.
digital planetis a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ social and apps like:
The platform has several features includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precision filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.
Platform providesSelf-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.
Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
You can find it on the official channelt.me/xingqiuproGet more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966
(Warm reminder: When searching for the official customer service number on Telegram, be sure to look for the username.xq966), you can also verify it through the official website personnel:https://www.xingqiu.pro/check.html, confirm whether the business contact you is a planet official
数҈字҈星҈球҈͏
