Telegram account opening detection

Batch check whether mobile phone numbers have opened Telegram accounts, quickly filter and export registered numbers. Help cross-border marketing teams clean customer data, reduce invalid contacts, and focus promotion and sales resources on target users who can be contacted through Telegram.

Telegram
业务痛点 Business Pain Points

Cross-border marketing lists often contain a large number of unregistered Telegram numbers. If promotion is carried out without testing, the team will waste sending resources and follow-up time on contacts that cannot be reached through Telegram.


  • It is impossible to quickly determine which mobile phone numbers have been registered with Telegram

  • Large batches of numbers rely on manual verification one by one, which is inefficient and error-prone.

  • Unregistered numbers take up follow-up resources from marketing, customer service and sales teams

  • The format of numbers from multiple sources is not uniform, which affects subsequent customer data processing.

  • There is a lack of data cleaning process before promotion, and the overall effective reach rate is low.


解决方案 Solutions

Telegram account opening detection supports batch uploading of international mobile phone numbers, automatically determines whether the number has been registered with Telegram, and classifies activated and unactivated numbers to establish a more accurate data basis for subsequent marketing and customer follow-up.


  • Account opening test:Determine whether the mobile phone number has registered a Telegram account

  • Batch number processing:Automatically detect large batches of numbers without manual query one by one

  • International number identification:Supports international mobile phone numbers in different countries and regions

  • Valid number filter:Quickly organize and export numbers that have been subscribed to Telegram

  • Marketing list cleaning:Reduce invalid numbers before promotion and improve resource utilization efficiency


Core Features

Compatible with multiple data formats
Supports international area code mobile phone numbers and standard @username format, automatically identifies and organizes input data, and facilitates centralized processing of customer lists from different sources.
Automatic batch screening in the cloud
Detection tasks are automatically handled by the cloud, without the need to prepare local devices or perform complex configurations, lowering the operating threshold for Telegram batch detection and account screening.
Quick classification of target users
Classify and organize the data according to the actual detection results to help the team select users who have been activated, recently active, meet the target profile or have valid user names.
Test result classification export 1
Supports structured export of Telegram detection results to facilitate continued screening and analysis, or imported into CRM, customer service and marketing systems for subsequent customer follow-up.
Automatic detection of large batches of data
Supports batch uploading of international mobile phone number or Telegram username files, and the system automatically performs detection to meet the needs of overseas customer expansion, community operation and customer data cleaning.
Multidimensional account information detection 1
Detect information such as account opening, last online, gender, age, or username status based on the selected product to meet different levels of Telegram data filtering needs.

Our Clients

Cross-border E-commerce Sellers

Accurately filter overseas buyer numbers to increase WhatsApp reach rate

Private Domain Operation Teams

Filter invalid or banned numbers to focus resources on cultivating high-quality customers.

Outbound Call & Customer Service Teams

Verify number validity in advance to prevent cost waste from calling invalid numbers.

Social Media Operation & Advertising Teams

Target ads based on active users to increase conversion rate.

DIGITAL PLANET

Digital Planet — Fully Automated Screening for Easier Precision Marketing

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