Sign Up
In Southeast Asia, especially Vietnam markets,Zalo is the most important social tool in daily communication and business marketing. As more and more brands begin to conduct private domain launches on Zalo, accurately reaching the target population has become the key to success or failure. And in terms of "precision",IdentificationThe gender and age of Zalo account, obviously a basic work that cannot be avoided.
So,Can the Zalo account identify gender and age? How to identify it? Can it be operated in batches? This article will talk about these issues in a real way.
Why must I identifyZalo account gender and age?
Because of gender and age, it determines whether your delivery is for the person.
Imagine you are promoting oneA 25-year-old female skin care product sent the news to a 50-year-old male account, which not only wasted resources, but also may be blocked. This situation may seem extreme, but in Zalo marketing without screening, it actually happens every day.
And if you can know in advance:
lIs this account a man or a woman?
lyesAbout 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.
Accuracy means efficiency.
Can Zalo get gender and age information?
Zalo is not open to the "Year of Birth" field like Facebook, nor has it a clear career profile like LinkedIn. But this does not mean that the gender and age of the user cannot be identified.
passComprehensive multi-dimensional judgment such as "behavior + avatar + device + activity" is currently a relatively mature method.
Digital Planet PlatformHas achievedZalo users' gender and age "AI tag identification" is trained to obtain a model based on thousands of samples, with considerable accuracy.
Specific identification dimensions include:
lNickname and common gender thesaurus
lIs the avatar female?/ Male photos (AI visual recognition)
lActive time period (the usage rules of office workers, students, and mothers vary greatly)
lRegistered equipment type (high-end machine, elderly machine, commonly used equipment for students)
lActive duration and social density
These clues may not be so obvious when viewed separately, but if you analyze them together, you will be very valuable to judge the results.
How should you choose three common recognition methods?
Method 1: Manual judgment (suitable for small batches)
If you don’t have many accounts, such as dozens of them, you can manually look at your avatar, nickname, add friends to try conversations, and you can probably know your gender and age group.
The problem is, this way:
lslow: It is very time-consuming to click on one by one;
lUnstable: No standards are easy to be subjectively misjudged;
lUnable to export in batches: Cannot output data in a structured manner.
Suitable for testing stage, not for formal delivery.
Method 2: Script recognition (for technical players)
Some scripting tools on the market claim to be"Batch reading of Zalo data", but in fact there are major limitations:
lMany functions need to be logged into the account to operate, which is very risky;
lThe interface is unstable and easy to beZalo risk control account ban;
lNot supportedAI recognizes avatars and content, and is mostly pulled by basic fields;
lLegal compliance risks also need to be paid attention to.
Therefore, technical teams can try the waters, but use them with caution in the operation and deployment departments.
Method 3: Digital Planet PlatformAI Identification (Recommended)
If you doZalo marketing enterprise users, studios, or channel providers that require high-quality data screening, thenDigital Planet PlatformofZalo screening service is currently the most stable and efficient choice.
You just need to importZalo mobile phone number list, the platform will automatically detect and output:
lRegister or notZalo
lWhether to set an avatar of your account
lActive status (nearly3 days/7 days/30 days)
lSystematic speculation of gender
lSystematic speculation of age
lDevice Type (Android/iOS/device model)
Filter logic support:
lSieve by gender (as long as female/As long as male)
lScreen by age group (if only18-25 years old, or 35-50 years old)
lMulti-condition superimposed sieve (e.g."Active women, 20-35 years old, iOS users")
Data supports structured export and can be used directly for:
lPrivate domain customer import
lCommunity fission group
lPrivate message marketing scripts reach
lCRM customer system portrait supplement
A real scene:Find the target user in 100,000 Zalo accounts
A friend who is doing cross-border skin care products is preparing to launch a new product in Vietnam, and the target user isActiveWomen aged 25-40.
She got it from the e-commerce platformThe 100,000 mobile phone number was invalid before, because I didn’t know if the number was registered by Zalo, nor did I know if it was the target gender and age.
After using the filtering service of Digital Planet, only about ~32,000 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 has increased by more than 300%.
What she said is particularly worth sharing:"In the past, I used to cast a net to catch fish, but now I'm fishing directly, which is much easier."
Identifying gender and age is not the purpose, but the starting point
filterThe gender and age of Zalo account are not for showing off skills or data, but for making every message and every contact more meaningful.
When you understand who the other person is, you will know how to speak, when and what to say.
This is the core of precision marketing.
If you want to use it tooA smarter way to do itZalo launches, let's try the Digital Planet nowZalo filtering function.
Support mobile phone number detection, activity recognition, gender and ageOne-click filtering for AI tags - registration is ready to use, easy to operate, truly allowing data to serve you.
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
数҈字҈星҈球҈͏
