Today, as global social operations continue to move toward refined management,How to accurately screen out highly activeTelegram account, has become one of the core actions in scenarios such as brand overseas, private domain launch, and community operation.

Although most teams have used Telegram status detection API interface Preliminary registration status screening has been implemented, but some thorny problems will still be encountered in practical applications:

lThe registration status is normal, but the account has not been online for a long time;

lThe detection results are vague and it is difficult to determine whether it is actually active;

lAfter batch testing, the conversion rate is still low.

In response to these user feedbacks, Digital Planet further expanded Telegram manual screening function,passThe "model judgment + manual review" method improves the accuracy of identifying highly active accounts and optimizes the entire account stratification logic. This article will focus on core issues such as "Why manual screening is needed", "Which accounts are difficult to identify by the system", "How to access the screening service", "How does the identification result affect the conversion efficiency", etc., to dismantle the screening mechanism behind it for you.

one,Why can’t Telegram account screening rely solely on API detection?

useThe Telegram status detection API interface can indeed identify the following statuses:

lWhether the account has been registered;

lWhether it has been online recently (e.g. active for three days, active for seven days);

lHave you ever joined a group, set an avatar, set a username, etc.

But automatically detectedThe limitations are also obvious:

1.Some users do not update their status for a long time, and it is difficult for the system to determine their true activity;

2.Pseudo-active accounts (such as automatic login accounts by scripts) may be misjudged as"Available";

3.some countries/The area code segment lags behind in data update and the API judgment is inaccurate;

4.User behaviors are diverse, and it is difficult for a single standard to cover complex scenarios.

Therefore, although basic screening can be completed by calling the interface alone, it is not suitable for those who want to do in-depth Accurate user identification, behavior level scoring, segmentation label classification For the team, it is obviously not enough.

2. How does manual screening service improve identification accuracy?

Launched by Digital PlanetTelegram’s manual screening function is designed to solve the above blind spots. It combines three capabilities:

1. Model-assisted scoring

The system passes firstThe Telegram status detection API interface obtains the basic status of the account, and then combines it with the behavioral model to give a preliminary score.

2. Manual policy review

rightAccounts with "unknown status" or "ambiguous ratings" will be manually reviewed by dedicated screeners, including:

lCheck whether it is a batch registration trace number segment;

lWhether there is real usage behavior (such as group interaction, data editing, etc.);

lWhether it matches marketing attributes such as target country or language preference.

3. Multidimensional label output

Eventually, each account will be marked with clear usage characteristics, such as:

lHigh frequency interactive account

lLow active insulation number

lSilent not online account

lSuspected script number

Facilitate subsequent classified placement and operation management.

3. What typical problems are suitable for manual screening to solve?

The following common operational pain points can be solved through manual screening:

lThe activity level of newly imported accounts cannot be determined

lAPI results show "Unknown status" or "Uncertain registration"

lThe account status is seriously inconsistent with the actual contact behavior

lIt is necessary to conduct quality inspection on key country number segments

lThere are a large number of high-risk segment numbers in the batch data, making it difficult for the system to identify

Especially suitable for cross-border placement, e-commerce drainage,Telegram group management, cold start community operations and other high-demand scenarios.

4. How to accessTelegram manual screening service?

The access process is very simple and supports one-click submission.+ Automatic result return:

1.Submit raw data:Support mobile phone number and account numberID and username formats can be automatically recognized by the system;

2.Choose a filtering platform:likeTelegram, WhatsApp, LINE, etc. (supports multi-platform parallelization);

3.Configure detection standards: CustomizableConditions such as "active period", "whether to join the group", "registration place";

4.System initial screening+ manual review: After automatic detection, the suspected account will be handled by the manual team;

5.Export labeled results: Can be output as structured fields (such asJSON/CSV), for SCRM and CRM system calls.

The entire process can be found atComplete inspection and delivery within 24 hours, adapting to large-volume inspection and daily update and maintenance needs.

5. How do the screening results affect subsequent delivery efficiency?

Through the manual screening mechanism, users can obtain a more accurate classification of account status, making the delivery strategy more targeted. According to the historical cooperation data of Digital Planet, after using the artificial screening results for stratified delivery:

lIncreased mass response rate30%-50%

lReduce the probability of account banMore than 40%

lImproved success rate of joining the communityMore than 25%

Accurately identifying who is active and who deserves to be sent is the core of reducing risks and improving efficiency.

6. Which industries and usage scenarios is it suitable for?

Telegram manual screening is applicable to but not limited to the following scenarios:

lTelegram goes overseas to attract traffic

lOverseas education/Financial project invitation

lNFT/Web3 community fan accumulation

llocalizationKOL group marketing

lSaaS or application distribution channel expansion

lAccount resource cleaning in e-commerce promotion

Whether you are running aA community of 20 people still needs to process 1 million global numbers, and the screening service can be flexibly matched according to actual needs.

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: @xq966

(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 contacting you is a planet official