A practical guide to viber’s accurate age screening: How to identify high-converting user groups in batches

In today's world of diversified communication tools,As an instant messaging platform widely used in Eastern Europe, the Middle East, Southeast Asia and other regions, Viber has gradually become an important battlefield for cross-border marketing, customer operations, and private domain traffic. Especially for teams that want to target high-net-worth, convertible, and targeted users through Viber, "accurate age screening" has become a key action to improve delivery efficiency and conversion rate.

However, most companies are doingBefore Viber marketing, people often only focused on account registration status, activity, and communicability, but ignored the most basic dimension that most determines the direction of conversion—user age. This article will focus on how to complete it in the Viber ecosystemAccurate age screening numberCarry out practical analysis of the whole process and combinedigital planetDetection capabilities help you quickly identify high-value user groups.

 

1. WhyIs Viber’s age filter so important?

For the vast majority of companies that target private domain conversion, user age is not just a label, but also the core basis for determining content strategy, marketing words, product recommendations and even conversion paths.

existIn the Viber delivery scenario, the significance of age screening is mainly reflected in the following aspects:

lOptimize content matching: Users of different age groups have very different preferences for advertising content, activity forms, and interaction methods.

lImprove conversion efficiency: Concentrating resources on the target age group can significantly reduce resource waste.

lMatch product positioning: In industries such as finance, maternal and child care, and education, the products themselves have a clear age range.

lAvoid high-complaint users: Users of some age groups are less receptive to push content and can easily trigger complaints.

Therefore, when executing adding friends, group sending, etc. in batches,Before bot interaction, community operation and other actions, it is an essential basic project to conduct an "age dimension" screening operation on Viber users.

 

two,Where does Viber age data come from?

The first reaction of many operators is:Viber does not disclose birthdays like social platforms, so how to obtain age information?

In fact,Although Viber does not directly reveal the user's birth year, it can indirectly establish the user's birth year through third-party detection platforms such as Digital Planet.age portrait model, mainly through the following methods:

lBehavioral trajectory analysis: Behavioral dimensions such as active time, interaction frequency, and device usage preferences can help determine the age of the user.

lsocial profile mapping:andCross-reference data bound to Facebook, Telegram, etc. to extract age tags.

lAccount registration batch+Usage time calculation: Account life cycle and behavior density are combined to estimate age groups.

lSample reverse training model: Use the characteristics of known people to infer portraits of unknown people.

These abilities passThe AI ​​algorithm model is fused and processed, and finally it can be implemented for Viber users.Age group labeling, to achieve high-precision screen number output.

 

3. Practical steps: How to complete before launchingViber age filter?

The following is a standardized and highly practical setViber's precise age screening process is suitable for various teams such as advertising agencies, cross-border teams, social service providers, and AI delivery systems.

Step 1: Collect the original number list

Sort out the target countries through historical registration information, advertising landing pages, public channel collection or third-party number databasesList of Viber numbers in /area.

Step 2: Import to Digital Planet Platform

Log in to Digital Planet and select"Viber user detection" module, upload the number list. The platform supports batch import with flexible format, and the system will automatically clean duplicate or abnormally formatted numbers.

Step 3: Select detection dimensions

Choose among platforms"Age identification" is used as the main detection item and can be superimposed at the same time:

lRegistration status identification

lactivity score

lLast online time

lDevice type (Android/apple)

lWhether to bind other social platforms (such asTelegram, Facebook)

Step 4: System intelligent labeling

Digital Planet backend will be launchedThe AI ​​recognition model conducts a comprehensive analysis of each number and labels it with the corresponding age, for example:

l18-25 years old: Generation Z users

l26-35 years old: stable users in the workplace and at home

l36-50 years old: people with high willingness to consume

lOver 50 years old: low-frequency interactive users

These labels will be presented in the detection results together with other dimensions to facilitate subsequent filtering and export.

Step 5: Export the list of target age groups

Through the filtering function, only users of the age group that match the products, services, and delivery targets are retained, and an independent list is generated for subsequent delivery.

For example:

lEducation and training project screeningPeople aged 18-25

-Insurance products can focus on users over 30 years old

lDigital activities are suitable for filteringHighly active group between 20-35 years old

 

4. Examples of practical application scenarios

Scenario 1: Filter before automatically adding friends in private domain

A Southeast Asian brand is preparing toAdd friends in batches on Viber and push electronic product discount information. Through Digital Planet, age groups were screened in advance, and only users aged 18-35 were retained, which greatly improved the interaction rate and the final conversion rate for joining the group.

Scenario 2: Pre-screening before recruiting people from the community

An Eastern European e-commerce operator plans to establish a health care community for middle-aged and elderly people. If all registered users are directly attracted, the community activity rate will quickly decline. Later, through the age filter function, only importedViber users over 40 years old join the group, and the interaction rate increases by more than 2 times.

Scenario 3: High net worth user identification

A financial institution is preparing to passViber does small-scale financial promotion. They used Digital Planet to conduct age screening + device identification + behavior scoring to accurately identify Apple device users who are over 36 years old and highly active, which greatly improved the reservation conversion rate.

 

5. How can it be used after screening?

FinishAfter Viber’s age screening, it is not just for “one-time placement”, but also to develop a sustainable private domain growth strategy:

lHierarchical operation: Users of different age groups enter different operating paths to increase life cycle value;

lContent personalization: Design push content and activity formats based on age preferences;

lremarketing matching: Cross-check the screened users with other social platforms to achieve multi-platform integration;

lLead model training: Reverse the age characteristics of converted users to the new customer screening criteria.

Digital Planet supports long-term management and updating of test results, helping enterprises build stable, efficient, and sustainable private domain number assets.

 

6. Conclusion: Not everyoneViber numbers are worth your money to reach

The essence of precise delivery is never"Multiple and broad", but "accurate and stable". As a strong label for behavioral preferences and purchasing intentions, the age dimension is key information that must be identified before every Viber launch.

digital planetViber's age filter function is designed to solve this practical pain point. Whether you have 1,000, 100,000, or millions of Viber numbers, we can help you identify them in batches, label them hierarchically, and output them efficiently.

If you are considering bulk operationsFor Viber marketing or community building, it is recommended to take the first step:Leave age screening to professional systems..

If you need to develop a solution that suits your business modelViber screening strategy, please contact Digital Planet customer service to obtain a one-on-one detection and export solution. Only when the sifting is accurate can the casting be stable. Every screening action is a key variable behind the conversion rate.


digital planet is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions  . It supports customers worldwide  Batch numbers for 236 countries  Screening and testing services  , currently supports  40+ social and apps like:

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, Byb wait.

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 filtering wait.

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/xingqiupro  Get more information and verify the identity of business personnel through the official website. official business  telegram:  @xq96 6

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