How to accurately filter the gender and age of Zalo users? Practical method sharing

In the Southeast Asian market layout,The value of Zalo user data is being valued by more and more companies. Especially in Vietnam, Laos and other regions, Zalo has high user activity and timely communication, and has become one of the preferred platforms for local promotion. andHow to accurately filterThe gender and age of Zalo users, is the first step to achieving high conversion rate.

This article will analyze in detail how to analyze in detail in the data background, filtering logic, practical methods and platform support.Zalo achieves "select dishes by person" to achieve real precise marketing.

 

The marketing value behind Zalo user data

Zalo is different from WhatsApp and Telegram. Its users mainly register with local real names, with concentrated age groups and clear social labels, which provides marketing parties with natural data advantages.

Especially in the following types of businesses,Accurate filtering of gender and age labelsCrucial:

lWomen-oriented products such as beauty, maternal and infant, and clothing;

lEducation, real estate, financial services, etc. are biased towards adult or middle-aged and elderly groups;

lProducts targeting young men, such as games and digital devices.

In other words, can it be efficiently identifiedBasic properties of Zalo users, determines your subsequent private domain conversion rate and budgetROI, customer life cycle value.

 

Where do the gender and age labels come from?

Although Zalo official does not open the gender and age information interface, based on the following three clues, it can still accurately judge the basic attributes of users:

1.Registration behavior+Account naming rules

Users of different ages and gendersThere are obvious differences in Zalo's nickname, avatar, language preference, etc.

2.Equipment model+ Active time period

Young people prefer to use high-end Android orThe frequency and time habits of the elderly can also be traced to the iPhone.

3.Social Trajectory Analysis+ Content interaction

Through the userGroups, friends composition, and chat behavior on Zalo can inversely deduce a high probability distribution of gender and age.

This is why digital planets can be based onAI tag algorithm,rightZalo account performs high-accurate gender and age screening.

 

How to filter? Core method sharing

Want to quickly identifyThe gender and age of Zalo users can be taken in three steps:

Step 1: ImportZalo data original number segment

You can prepare a batch by collecting, crawling or obtaining it on your own, and by using the platform.Zalo number segment, supports Vietnamese local number or international registration number.

Step 2: Use the screening platform to detect registration status and basic properties

In the Digital Planet platform, numbers can be imported directly in batches for detection and output the following key information:

lRegisteredZalo

lWhether to set an avatar (can be used to determine gender)

lIs it active recently

lGender speculation (by nickname, avatar, language preference, etc.)

lInferred age group (by device model, registration time, etc.)

These properties can customize the filtering logic according to requirements, such as extracting only"Female aged 30-45", "Male aged 18-25", "Not active male role", etc.

Step 3: Export the available accounts according to conditions for delivery

After the filtering is completed, you can export the conditions that meet theZalo account list, used for social operation, private message marketing or customer service docking.

The export format includes number, registration status, gender, age group, equipment, activity status, etc., and supports direct importUsed by CRM or automation tools.

 

Practical application scenario cases

For example, a beauty brand plans to place a batch of discount codes in Vietnam, with the target usersWomen aged 25-40, the account is required to be authentic, interactive, and without any trace of advertising.

The brand is selected through the Digital Planet PlatformZalo users who are active within 30 days, have set up their avatars, are nicknamed as female common names, and have registered their devices as mid-to-high-end models of iPhone or Android. There are a total of 32,000 items. After exporting, they are used to distribute Zalo friend invitations. The effect is significant, with an unsubscribe rate below 2%, and the interaction rate exceeding 28%.

 

Why choose a digital planet?

As a platform focusing on global social data detection and screening, Digital Planet isZalo sieve has the following advantages:

lSupport batch testingWhether to register a Zalo account, whether to set an avatar, and whether it is active recently

lProvide gender, age, etc.AI tag recognition service, high hit rate

lData can be divided by country, language preferences, registration channels and other dimensions

lSupport one-click export after filtering to help maximize delivery efficiency

lProvide technical docking support, adaptationPlatforms such as CRM, SMS system, Zalo marketing tools, etc.

The platform currently has the permission to test registered users. Contact customer service to try the part for freeZalo tag filtering function is suitable for use in all kinds of overseas marketing scenarios.


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:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, Binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

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.

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