2025 new gameplay: Telegram age and gender dual-label batch detection scheme


Today, when the refined operation of private domain traffic is increasingly valued, I only know"Whether the account is enabled for Telegram" can no longer meet the real screening needs. Truly efficient Telegram operators have long begun to lay out the "tag recognition" step. EspeciallyTelegram Age TestandTelegram Gender TestingThese two core abilities are becoming the private domain screening"Golden Partner".

This article will combineThe latest practical experience in 2025 will be broken down for youTelegram age and gender double label batch detection scheme, comprehensively improve your screening accuracy and user conversion efficiency.

 

1. Why do itTelegram age and gender dual-label detection?

1. Accurate user portraits to improve conversion rate

Users of different ages and genders have very different concerns, consumption intentions and content preferences. Through tag management, you can:

lPush beauty, outfits and social content for young women

lForwardMen over 30 years old promote financial management, business, real estate services

lFilter out unrelated groups and improve interaction and conversion rates

2. Refine the hierarchical management of private domains

In the past we could only rely on"Whether it is active" is classified. Now, through double tags, the following population pools can be easily established:

lWomen aged 25-30: High-interactive traffic target users

lMen over 35 years old: can be converted into B-end high-net-worth users

lAge unknown+Gender unknown: Pool to be identified, and later guide interaction to obtain more information

3. Optimize mass cost to avoid resource waste

In progressBefore telegram mass posting or community recruitment operations, remove low-quality groups in advance, greatly reducing the probability of complaints or banning.

 

two,The latest Telegram tag recognition process in 2025

1. Data import preparation

You need to prepare oneTelegram account collection supports the following three formats to import:

lMobile phone number list (recommended)

lusername(@form)

luserID (pure digital TGID)

Note: The data must be true and valid. It is recommended to combine it."Open Detection" module to filter empty numbers in advance.

2. Enable tag recognition function

On the Digital Planet Platform, you can choose"Batch detection" function, select "Enable tag recognition". The platform will automatically crawl the following dimensions:

lWhether it is enabledTelegram

lGender (male, female, uncertain)

lAge group label (Under 18 years old, 18-25, 25-35, 35-45, and over 45 years old)

lIs there avatar, and is it a real person

lUsername status, nickname status

lEquipment type, account credit level, etc.

This data will serve as the basic label for your subsequent filtering and grouping operations.

3. Export structured Excel tables

After the recognition is completed, it can be exportedExcel, fields contain:

lPhone number/username

lWhether it is enabledTG

lGender identification results

lAge range

lActive Level

lAvatar recognition type

lTag matching suggestions (automatically recommended grouping)

 

3. What’s behind the age and gender testingAI logic

In order to better understand the basis for system judgment, some identification logic is added here:

Age recognition technology:

lAvatar recognitionAI Model: Identify the age range through facial details, and the model accuracy exceeds that of92%

lNickname and username analysis:like"john1998" and "emma18" often contain clues to the year of birth or age

lBehavior label combination judgment: Such as the use of language, interest tags, active time periods and other auxiliary analysis

Gender identification technology:

limageAI model recognizes gender: Trained in millions of social avatar samples to accurately judge real people's gender

lNick name/User name semantic judgment:like@jenny, @michael has explicit gender hints

lAnalysis of language behavior differences: Some men and women have different characteristics in their use of emojis and content speech

 

IV. Application scenario examples

1. Cross-border e-commerce

lBeauty brand positioningFemale users aged 18-30: Through label detection, quickly screen out target groups

lPrecise delivery of male fitness products: select only male accounts to improve click conversion rate

2. Education and training

lOnline language courses:Customized content for users aged 18-35 can improve registration efficiency

lChildren's English: Filter adult users and accurately lock in parent groups

3. Investment and Finance Fields

lUse age and gender to identify high-net-worth male users and follow up targetedly

lThrough the device+Tag cross-analysis to identify real convertible accounts

 

5. How to start using it immediately?

In just three steps, it can be openedTelegram tag batch identification:

1.Log in to the digital planet and select [Telegram Detection Module

2.Upload yoursTelegram data packet (mobile number/user name)

3.Enable"Gender + Age" tag identification, one-click detection output report

Test results support [ExportExcel】+【Tag filtering grouping】+【API docking】 and other forms to adapt to all scenario requirements.

 

6. About the number and accuracy of accounts

lSupport batch testing every day More than 100,000 Telegram accounts

lTag recognitionAccuracyMore than 90%

lResponse time: single batch10,000 <3 minutes

lSupports domestic and foreign multi-regional routes, suitable for Europe, America, Japan, South Korea, Southeast Asia, etc.TG main market

 

If you are troubled by low screening accuracy and high mass complaint rate, it's time to try it outThe latest version of Telegram tag detection solution in 2025. Register now to open the [Digital Planet] platformThe era of efficient TG user management driven by AI.

 

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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