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In the context of the rapid spread of global communication tools,As a highly used instant messaging platform in Eastern Europe, the Middle East and the Asia-Pacific region, Viber is becoming a new channel for many companies to launch overseas. Whether it is advertising reach, community traffic, or private domain operations, companies are increasingly choosing to incorporate Viber into their marketing systems.
But to really make good use of this channel, it’s not enough to filter by registration status alone.User age detection, is becoming a key pre-step in determining the delivery effect. Only by knowing clearly what type of users you are facing can you make accurate bets, speak the right words, and turn things around quickly.
This article will focus onDetailed explanation of Viber's age group user detection, dismantling the practical process from 0 to 1, and combiningDigital Planet Platformtechnical capabilities to help you build a stable, compliant, and efficientViber user filtering mechanism.
1. Why'Age testing' more important than you think?
Age is not a simple demographic attribute. existIn the Viber user ecosystem, it often means:
lUser preferences vary:20-year-old users are accustomed to using stickers, 40-year-old users prefer text, and 60-year-old users pay more attention to privacy;
lHuge difference in willingness to interact: Young people are more likely to click to jump, while middle-aged and elderly people pay more attention to trust and authenticity;
lConversion paths vary: Some industries are only suitable for a certain age group. For example, the maternal and infant category is positioned inFor women over 30 years old, mobile game promotion prefers people aged 18-25;
lComplaints and blocking tendencies are different: The older you are, the more likely you are to be defensive about unfamiliar account information.
therefore,Before you start any form of delivery, one thing must be done first: detect the user's age group and make reasonable screening.
two,Do viber users disclose their age information?
Many people will ask:Viber doesn't have public information like Facebook, so how to do age detection?
This is a very typical misunderstanding.Although Viber does not directly display the user's date of birth, this does not mean that we cannot identify their age group. Through third-party detection platforms such as Digital Planet, combined with AI models and multi-platform cross-recognition, the age group of the user can still be determined relatively accurately.
Platforms typically use the following methods:
lAccount usage time and behavior rhythm modeling: Behavioral characteristics such as long periods of silence and being online during a specific time period can infer age preferences;
lTerminal equipment and operating habits: Device type, system version, usage time, etc. are highly related to age;
lAccount binding behavior: If boundFor Facebook, Telegram and other accounts, some platform information can map your age;
lLearning results of existing samples: The age model trained by known users is applied and judged among unknown users.
These recognition results are not crudely"Guess", but a combination of data, behavior, usage logic and label learningIntelligent analysis process.
3. Practical process: how to completeviber age group user detection?
The following are standardizedThe Viber age detection process is suitable for all enterprises with needs such as batch placement, community building, and private domain traffic diversion.
1. Collect and organize target numbers
The first step is to prepare your original list of numbers. These numbers can come from multiple channels such as historical placement, advertising channel traffic, and internal investment forms. It is recommended to unify the format, remove duplicates, and ensure that the country code is complete.
2. Log in to the Digital Planet platform and upload data
Open the Digital Planet platform and enter"Viber detection" module, upload your number files in batches. The system automatically verifies the format, cleans up duplicates and empty numbers, and prompts for invalid items.
3. Select the detection dimension: check "Age Recognition"
Digital Planet provides multiple detection dimensions, which need to be enabled here:
lAge identification (required)
lRegister or notViber
lactivity score
lTerminal type identification (to assist in age determination)
lMulti-platform binding situation (optional)
After one-click startup, the system will start the cloud recognition engine and automatically perform behavioral modeling and label output for all users.
4. Obtain test results and classify them
After the detection is completed, you will see the age group label of each user, for example:
l18-24 years old: suitable for entertainment, mobile games, and social diversion
l25-34 years old: Suitable for e-commerce conversion, educational products, and financial product promotion
l35-50 years old: Suitable for family, health and investment product recommendations
lOver 50 years old: suitable for health care and low-frequency interactive projects
You can filter and export by age group as the basis for the next release list.
4. How to design differentiated delivery strategies based on age groups?
Detection is only the first step, and subsequent strategic differentiation is the key.
lfor18-24 years old: Recommend mass lottery and highly interactive event links, combined with light content forms such as stickers and videos;
lfor25-34 years old: Suitable for introducing communities, pushing limited-time discount messages, and stimulating action;
lforOver 35 years old: Pay more attention to service, guarantee, and information integrity, and recommend customer service or robots with more detailed private chat skills;
lforOver 50 years old: It is recommended to reduce the frequency of group sending, reduce the push of unfamiliar links, and focus on trust building.
Through the user tags filtered out by Digital Planet, you can easily complete crowd segmentation, no longer rely on empirical judgment or blind attempts, and reduce the trial and error cost of delivery from the source.
5. Typical scenarios: Which businesses are particularly suitable forViber age detection?
1.Social diversion team
Before recruiting people into the group in batches, match the theme and management method according to the age group to avoid being indifferent or blacklisting the community.
2.Cross-border e-commerce team
Accurately recommend products based on the age of target users to improveCTR and conversion rate are especially suitable for health products, home appliances, and maternal and infant products.
3.Online education and consulting industry
Screen out users of an age group who have a strong willingness to learn and relatively ample time to achieve content matching and stable guidance.
4.Financial management, insurance, and loan projects
Targeted at high-income groups (35 years old and above), prepare for high-net-worth user identification and sophisticated communication.
6. Continuous update mechanism: NoA “one-time” test is enough
The activity, behavioral status and platform data of Viber users will change dynamically, and the age model also needs to be continuously optimized. Therefore it is recommended:
lA test is performed before each new imported list;
lUsed list suggestions perRe-examine once every 30 days to eliminate those who are ineffective or have deviated behavior;
lCompare digital planet detection results withCRM system docking to realize automatic labeling and grouping updates.
This will not only improve operational efficiency, but also maintain the freshness and conversion capabilities of private domain lists for a long time.
7. Conclusion: Only by accurately identifying users can we correctly connect to their needs.
existIn Viber private domain advertising, the value of the age dimension is far more than "age itself". It means the overall decision-making logic of conversion paths, content preferences, and interaction methods. By grasping this key variable, you can use the most appropriate way to speak to the people who are most likely to convert.
Provided by Digital PlanetViber's age group user detection capabilities are tailor-made for this demand scenario.
as you are doingFor Viber marketing, or planning to attract users in a specific country, it is recommended that the first step is to start with “age detection”. You can upload your number list through the platform, and the system will automatically complete intelligent analysis and label output.
If you have specific needs, please contact Digital Planet customer service. We will customize a testing solution that best suits the industry and target group for you. Accurate age identification makes every delivery closer to the result.
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:
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
(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
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