AI-assisted Telegram operation: Identify usage frequency, registration status and interaction performance

The pace of social operations is acceleratingIn 2025,How to efficiently identifyTelegram users' activity and authenticity, has become an important starting point for private domain operation, community maintenance and precise delivery. Compared to traditional methods,The AI-assisted identification mechanism is enabling Telegram operations to move from "experience" to "data-driven".

This article will discuss in-depth three key indicators: frequency of use, registration status, and interactive performance.How AI can assist teams in making more accurate judgments and combine them with the AI ​​detection capabilities provided by the Digital Planet platform to demonstrate its specific application in actual combat.

 

Why operateTelegram must identify the frequency of users?

Does an seemingly active account really have continuous behavior? Many teams face the following problems when conducting private domain operations, advertising conversions, or user invitations:

lIt's obvious that I have added a friend, but I haven't responded for a long time

lAfter mass promotion messages, the click rate is extremely low

lChannel interaction rate is seriously disproportionate to subscriptions

lSpend great effort to bring people into the group, but the group is silent

The root of these problems is often that users are not identified in advance.Usage frequency and registration status. A registrationThe account that has been logged in for 3 years and 7 consecutive days, and the account that has just registered yesterday and has no social traces, has a huge difference in value.

 

How does AI identify the frequency of Telegram usage?

The core of the frequency of AI identification lies in the analysis of user behavior trajectories by the model. Taking the Digital Planet Platform as an example, the platform realizes frequency scoring through the following dimensions:

lLogin time distribution: whether it is a daily active user, whether it is concentrated in a certain period of time

lMessage interaction: whether you send and receive messages every day, and whether you participate in group chats

lGroup behavior: whether to join multiple groups, whether to participate in discussions frequently

lClick on the link/Forwarding Behavior: Is there any real interaction behavior rather than zombie silence

passAfter the AI ​​model is automatically identified, the system will tag the account with tags such as "high frequency active", "mid-frequency login", and "not online for a long time", so that the operator can see at a glance who is the target user and who is just silently registering the account.

 

Registration status recognition: determine account numberThe key to "roots"

In addition to behavioral activity, the account registration status is also important. a lot ofNumbers that are "registered and unused" will mislead operational judgments, especially when purchasing number packages, connecting to third-party platforms, or building group systems.

The Digital Planet Platform supports the following registration status recognition:

lAvailable account registered: Platform confirmation completedTelegram registration process, with basic functions

lBanned account: encountered official account ban, restrictions, excessive reports, etc.

lNo account registered: Not bound yetTelegram, only for potential leads

lSuspected false registration number: Types of account that are blocked by registration, abnormal behavior, and large-scale applications for short-term

passAPI or background batch import detection can quickly understand the real registration situation in the import mobile phone number library and avoid subsequent waste of resources.

 

Interactive performance recognition: a core indicator for measuring the value of a private domain

In operationWhen Telegram private domains, it ultimately depends on "interaction" to bring value. Whether it is community interaction, telegram robot triggering, or link conversion, it is necessary to determine whether the account has interactive potential.

The Digital Planet Platform can identify and rate the following interactive features:

lMessage reply rate: Have you ever responded after receiving the message

lChannel speech frequency: Whether to leave messages or likes regularly in the channel

lvote/ Questionnaire Participation: Have you participated in the interactive function

lGroup performance: Whether it is an active member, whether the warning is triggered multiple times or has been removed

lRobot response: Can it triggerBot directive, whether there is closed permission

The system will automatically generate it according to cross-labels"Interactive Potential Points" facilitates screening of "real people" who are truly willing to interact.

 

How to continuously optimize and judge the results of AI models?

Digital Planet PlatformThe AI ​​model is not static matching, but based on massive Telegram global account behavior data, continuous training and optimization, with the following advantages:

lMulti-dimensional cross-label: Not only does it look at the login behavior, but the behavior+Status +Active Trajectory +Interactive Comprehensive Score

lStrong scalability: The model supports access to user-defined fields (such as source channels, recent invitees, etc.) to form a personalized tag model

lDynamic update: After the account status changes, it can be re-checked regularly to support the7-day, 30-day, 90-day active curve tracking

This means thatAI is not a one-time judgment tool, but a "second brain" that accompanys the operation team to make judgment decisions for a long time.

 

Which Telegram scenarios does AI-assisted recognition work for?

AI detection capabilities are not theoretical concepts, but run through multiple links of Telegram operations:

lInitial screening before the account pool is built: Build a high-quality seed user pool

lCleaning before mass or automatic group pull: Improve conversion rate and interaction rate

lSilent user filtering during community management: Clean up invalid accounts and enhance social health

lParticipant assessment of private domain fission activities: Avoid reward loss to non-real users

lCross-border customer identification and priority reach:DooringSCRM system, assisting sales to follow up with high potential customers

 

Digital Planet PlatformAI account detection tools are the key assistants to help enterprises establish high-quality user systems in the Telegram ecosystem. Whether you are a marketing team, community operator, or product promoter, AI recognition capabilities will help you save more than 80% of the recognition cost, and significantly improve the quality of account usage.

Immediately access the digital planet account detection system and useAI defines your Telegram private domain operation new heights.

 

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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