Sign Up
existToday, Zalo has become an essential marketing platform in Vietnam.How to extract in batchesGender and age tags for Zalo users, has become one of the operations that many private domain traders, e-commerce pitchers and brands are most concerned about. After all, only if you clearly know your target users"Who" can decide "how to say it".
But here comes the problem——Zalo does not publicly display age and gender information like Facebook or Instagram, so how can we quickly judge and accurately extract it? Are there any tools that are efficient, accurate and can support batch processing?
This article will answer:Now available on the market forSeveral mainstream methods and tools for extracting gender and age tags in Zalo, and recommended practical application solutions.
why needed"Batch extraction" of Zalo gender age tags?
There are often thousands of Zalo accounts. Manually checking avatars, nicknames, and interactive content one by one is not only time-consuming and labor-intensive, but also has extremely low accuracy. Only with the help of tools to achieve "batch identification + labeling" can you:
lQuickly filter target user groups (such as20-35 years old female)
lAccurate delivery of marketing content (content varies greatly among different age groups)
lReduce ineffective communication costs (avoid waste on non-target users)
lIntegrate into a complete user portrait (dockingCRM or marketing system)
Tool one:AI recognition platform (recommended)
Currently the most mature andBatch extractionThe most effective way to tag Zalo users’ gender and age, is to use specializedAI data recognition platforms, such as the Zalo detection and screening function provided by [Digital Planet].
The platform has the following advantages:
lHigh gender recognition accuracy: Comprehensive recognition based on avatar, nickname, interactive behavior and other models
lClear classification of age groups: Provide age group labels, such as18-25, 25-35, 35-45, etc.
lSupport batch import of mobile phone numbers: Detect tens of thousands of items at a timeZalo account
lSupport label filtering and exporting: Extract only"Female + 25-35 years old + active" data
lNo need to log in, risk-free operation: Full-process offline detection, safe and reliable
You only need to upload the mobile phone number file, and within a few minutes you will get the complete tagged data, which can be directly used for actions such as posting, mass sending, and private messaging.
Suitable for:
Small and medium-sized brands overseas teams, data studios,Zalo private domain pitcher, e-commerce SaaS company, AI marketing agency, etc.
Tool two:Zalo official function + manual judgment (low efficiency)
Zalo does not directly provide gender or age fields in its official app or web version. However, some users will set more obvious avatars, nicknames, or reveal birthday information in their profiles.
At this time, you can:
lpassManually view avatar and nicknamePreliminary judgment of gender
lEstimating the age group based on the age characteristics of the avatar
lInteract with the account to see its tone and content style
lEstimated based on behavioral characteristics such as posting time and social frequency
However, these methods are only suitable for small batch operations and cannot meet the needs of systematic screening. Moreover, the accuracy is highly dependent on manual experience and prone to errors.
Suitable for:
It is used for account verification during the testing phase or early stage of operation and is not suitable for official launch.
Tool 3: Crawler or plug-in script (high risk)
There are some claims on the internet that canThe script tool "Extract Zalo user information" uses simulated login to obtain the public information of Zalo users. However:
lMost require loginZalo account operation can easily trigger risk control
lSome scripts have not been updated and the interface is invalid.
lUnable to determine gender and age, can only capture avatar andID
lHigh legal risk and easy to violateZalo Terms of Service
Using this type of tool is time-consuming, risky, and the data structure is incomplete. It is not recommended for enterprises or regular business teams to use it.
Suitable for:
It is used for internal testing by the technical team and is not a mainstream commercial solution.
Common misunderstandings in Zalo gender and age tag extraction
In actual operations, many people have concerns about extractingThere are some misunderstandings in Zalo’s gender and age labels:
1.ThinkZalo has no way to determine age and gender
In fact, yes, the AI model can comprehensively infer age group and gender through avatar, nickname, and behavioral characteristics.
2.I thought I could only view information by logging in.
Platforms such as Digital Planet provide detection based on mobile phone numbers, eliminating the need to log in to a Zalo account to ensure security and privacy compliance.
3.Is it unreliable to judge gender and age just by looking at a profile picture?
It is true that a single point of information cannot be judged, but AI can integrate dozens of dimensions for comprehensive recognition to improve accuracy.
4.Worried about slow batch extraction?
Professional platforms can usually complete the analysis and marking of tens of thousands of accounts within a few minutes, which is far more efficient than manual work.
A practical scenario: education and training industryZalo placement
A company that provides online Chinese education is preparing to expand parent users in Vietnam. The team purchased150,000 Vietnamese mobile phone numbers are ready to establish a private domain pool.
But what troubles them is:
lAre these mobile numbers registered?Zalo?
lAre you an active user?
lwhether it isWomen aged 30-45 (parent group)?
Use digital planetAfter Zalo screened the platform, they completed the following operations:
lRemove unregisteredZalo's number
lEliminate accounts without avatars or zombie accounts
lOnly keepThere are about 28,000 users in total who are “female + active + 30-45 years old”
lFurther determine the consumption capacity based on the device model, and give priority to mid- to high-end device users.
This precision pool was directly imported into the community and private message systems, and the conversion rate of the first round of activities increased.2.5 times, the feedback effect far exceeds expectations.
How to quickly use the Digital Planet platform to obtain label data?
1.get readyZalo target phone number list
2.Register and log in to the [Digital Planet] platform
3.Upload your mobile phone number and check the activation status and gender and age tags with one click
4.Filter the required conditions for data export (supportedExcel format)
5.Apply to private message marketing, mass messaging, social recruitment,CRM completion and other scenarios
No complicated settings or login requiredWith a Zalo account, the entire process is controllable and traceable.
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, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone 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 contacting you is a planet official
数҈字҈星҈球҈͏
