Sign Up
In business scenarios such as cross-border marketing, e-commerce drainage, user growth, and community accumulation,Telegram has become an important channel that cannot be ignored. Whether it is content conversion through groups, user guidance through private chat, or even automated marketing through robot push, the premise is: you have to face a group ofReally existing, in normal condition, and capable of communicationTelegram users.
And these users are often based onPresented in the form of Telegram username (@username). The problem is that most cross-border teams get username lists——
The sources are mixed, the quality is variable, the error rate is high, and even a large number ofEmpty accounts, blocked accounts, robot accounts, inactive accounts, prohibited communication accounts.
If you directly import the system without filtering to add friends, send private messages, attract groups, and make group messages, the following problems are likely to occur:
lAdding failed and message delivery failed;
lScript crashes,API interruption, account trigger limit;
lMessage delivery is unresponsive and conversion is low;
lThe main account was blocked and the group was complained;
lOperation and maintenance manpower and promotion costs are wasted.
Behind this is an overlooked operational link:Telegram username detection and filtering.
This article will combine the practical needs of cross-border teams and focus on the actual capabilities of the digital planet platform.0 to 1 complete restorationTelegram username detection process, helping you improve list quality, reduce operational risks, and improve delivery efficiency.
1. Cross-border teams are usingWhat problems will you encounter when trying to create a Telegram username?
1. Username is spelled incorrectly or is invalid
Source data is often manually entered or spliced from different forms. Common problems include missing"@", character error, user does not exist, etc.
2. The username exists but has been banned
Many accounts were banned due to abnormal historical behaviorTelegram is banned and no longer has the ability to communicate, but the username remains in the system.
3. Passively block communications
Some users have turned off the permissions for strangers to add friends and send messages to strangers, resulting in the inability to add or send messages to external accounts.
4. Bot account or disguised account
There are a large number of people registered as robotsTelegram accounts are only used to receive commands and have no marketing value.
5. Long-term inactive accounts
versus superAccounts that have been inactive for 30 days will basically not receive feedback, which will affect the overall hit rate.
6. Country or region does not match
Cross-border projects have requirements on language, country and region. If the user's affiliation cannot be identified, it will easily cause a waste of resources.
Therefore, if cross-border teams want toTo build a high-quality user pool that is “available + accessible + highly active” in the Telegram system, the first step must be:Perform batch detection, tag recognition, and structured filtering of user names.
2. Why choose Digital Planet?Telegram username detection?
What cross-border teams need is notThe basic judgment of "whether it exists" needs to be able to support the following abilities:Detection platform:
lBatch processing of tens of thousands of username data;
lAutomatically remove errors, empty numbers, and invalid data;
lDetect account ban,Bot, communication permissions and other dimensions;
lOutput structured tags for easy import into marketing systems;
lNo technical development required, easy to operate;
lNot triggeredTelegram risk control mechanism.
digital planetDesigned for such needs- it supportsHigh concurrency detection, full-dimensional identification, labeled output, and systematic management, very suitable for cross-border teams to quickly complete the data cleaning and screening process.
3. The complete process for cross-border teams to use Digital Planet for username detection
The following is a complete execution process from data import to filtering export, which is suitable for any team involved in the batch use of user names.
Step 1: Prepare raw username data
lOrganize existing usernames and unify them into one column. The recommended format is"@";
lIt is recommended to save asCSV or TXT format;
lMake sure to remove distracting items such as blank lines and unusual characters;
lIf the data comes from multiple sources, it is recommended to remove duplication before merging.
Step 2: Log in to the Digital Planet platform and enterTelegram detection module
lAfter entering the platform, select“Telegram username detection” function;
lUpload files and the platform will automatically parse and identify abnormal formats and duplicate data;
lSupports uploading multiple batches of tasks at the same time, suitable for project-by-project processing.
Step 3: Select detection dimensions
lYou can choose whether to detect as needed:
¢Whether the username exists;
¢Is itBot account;
¢Whether it is banned;
¢Whether to support stranger communication;
¢Whether it is a highly active account (recently7 days/30 days online record);
¢Whether there is a complaint risk behavior label;
¢Whether the information is complete (avatar, signature);
lDetection dimensions can be flexibly combined, eliminating the need to upload data repeatedly.
Step 4: Start batch detection tasks
lThe platform will process tasks concurrently, and the detection speed will automatically allocate resources based on the amount of data;
lTens of thousands of data can be processed in a short time;
lThe system will automatically label in the background without affecting front-end operations.
Step 5: View the detection results and filter target users
lEach username will be marked with structured tags:
¢Already exists/ does not exist;
¢active/ inactive;
¢Can communicate/ restrict communication;
¢Bot / normal user;
¢Banned/ status is normal;
lCross-border teams can filter out the target user groups they need to use based on business needs.
Step 6: Export the results and connect to the business system
lTest results support classification and export by tags;
lFile supportCommon formats such as CSV;
lCan be imported into the robot group sending system, friend-adding scripts, community management tools,SCRM and other platforms;
lHighly active and communicable users can be given priority to perform tasks; banned and risky users are automatically filtered.
, Business optimization scenarios after using detection results
The detection labels provided by Digital Planet are not only used to filter data, but also help cross-border teams optimize the entire operation strategy:
1. Accurate grouping before mass sending
Will"Active + communicable" users serve as the first batch of group sending targets to increase push arrival rate and feedback volume.
2. Filter risky users before joining the group
Avoid groups being banned and accounts being reported due to the inclusion of banned or highly sensitive users.
3. Control the failure rate before adding friends
Add onlyUsers who "allow communication" will increase the success rate of adding friends and reduce the risk of being restricted.
4. User hierarchical management
Stratified delivery based on activity and data completeness.Category A deep transformation, Category B guidance activation, Category C suspended operation.
5. Sensitive accounts are automatically blocked
Automatically identify accounts with high historical complaints to avoid wasting main account resources on potential risk control targets.
5. Practical usage suggestions and optimization techniques
Suggestion 1: Update user status regularly
The status of Telegram users changes dynamically. It is recommended to recheck the core user pool every 7-10 days to keep the list fresh.
Suggestion 2: Combine country and language tags for regional filtering
Cross-border teams usually have regional markets. Secondary classification based on user language and regional attributes after detection can help improve content matching.
Suggestion 3: Use the detection results with the friend-adding script
The test results can be exported and directly imported into the friend-adding system. Only addUser names that “exist + can communicate” significantly reduce failure records.
Suggestion 4: Allocate sub-accounts in batches to perform tasks
For user lists with extremely large amounts of data, the filtered data can be allocated to different sub-accounts by batch, label or region to improve overall execution efficiency.
6. Frequently Asked Questions
Q1: Does Digital Planet detection trigger user notifications?
Won't. The detection process does not interfere with users, does not send any messages, and does not call the platform’s private chat interface.100% silent operation.
Q2: Is there an upper limit on the amount of data supported for detection?
It supports tens of thousands of concurrent processing and supports batch detection of millions of data, making it suitable for large project teams.
Q3: Can the test results be screened twice?
Can. The platform provides tag filtering function, and can also be downloaded and grouped, sorted, and classified locally to meet various needs.
Q4: Does it support multi-language user identification?
support. Can be combinedTelegram's public data analyzes the language used by users, the language characteristics of nicknames, etc., to assist cross-border stratification.
Q5: Is it possible to only detect "whether it exists"?
sure. The platform supports basic detection and advanced detection hierarchical configurations to meet different costs and needs.
7. Conclusion: Only by screening accurately can you cast steadily and turn quickly.
Telegram is a social platform with rapid growth, complex structure, and changing rules. Cross-border teams must no longer rely on experience to operate it. Data-driven is the only way to achieve stable growth.
digital planetfor cross-borderProvided by Telegram teamProfessional, stable and efficient username detection platform, allowing you to check the list before operating"Know it like the back of your hand", accurately screen out the real user pool that can be communicated, reached, and transformed, ensuring project effectiveness from the source, saving resource costs, and reducing the risk of account closure.
if you are dealing withTelegram user list, or plans to carry out actions such as batch adding friends, automatic group messaging, private domain traffic drainage, etc. You are welcome to contact Digital Planet customer service to obtain a complete detection solution that adapts to your business process. Only by screening accurately can we walk steadily. Every username is the beginning of a link.
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: @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
数҈字҈星҈球҈͏
