KK-DATA avatar KK-DATA

What is TG Active? In-depth Analysis of Account Activity Logic in Telegram Marketing

When conducting overseas marketing on Telegram (TG), you often hear terms like “passing the activity check” (过活), “account activity”, or “valid data”. For many cross-border e-commerce businesses or small studios just starting out in overseas business, what exactly does “TG activity verification” mean? And why does it directly impact your marketing budget and conversion rates?

This article will break down this concept from a professional perspective and tell you how to solve this problem efficiently.

What is “TG Activity Verification”?

In the context of TG marketing, “activity verification” (过活) is not a standard academic term; rather, it’s an industry colloquialism for “account activity detection” or “data validity verification”.

Simply put, when marketers obtain a batch of phone numbers and try to reach them via Telegram, not all of these numbers are necessarily successfully registered or actively using TG. If a number can pass verification but has been logged out for a long time, banned, or has never used the TG app, it is considered a “dead number.”

The core logic of “TG activity verification” is: verify whether the data you have can “live” within the Telegram ecosystem — i.e., determine whether the number is a real, active, and effective account usable for marketing outreach.

TG Activity Verification & Data Quality

Why Does “Activity” Determine the Success or Failure of Your Marketing?

Many overseas teams fall into the trap of thinking that more numbers are always better. But the reality is that data quality matters far more than quantity.

If you buy 10,000 numbers, but 8,000 of them are “zombie accounts” (i.e., inactive or not registered on TG), your marketing efforts will face the following problems:

  1. Cost waste: You paid expensive acquisition fees for invalid data.
  2. Increased risk of account suspension: Sending messages to a large number of invalid accounts easily triggers Telegram’s risk control mechanisms, causing your marketing accounts to be quickly banned.
  3. Low efficiency: Marketers and automation tools waste time on ineffective attempts instead of focusing on high-quality customers.

Active Accounts vs. Zombie Accounts: Key Differences

To help you understand intuitively, here is a comparison table of the two types of data:

DimensionActive Account (Live/Active)Zombie/Invalid Account (Dead/Inactive)
Response ProbabilityHigh – users are very likely to see the messageVery low – may not even be deliverable
Account StatusOnline, has an avatar, or recent activity recordsOffline, no avatar, long-term inactivity
Marketing CostLow (high conversion per touch)High (many wasted attempts, resources wasted)
Risk Control ImpactRelatively safe, aligns with social behaviorHigh (easily flagged as spam harassment)
Data ValueVery high – core for precise customer acquisitionVery low – only statistically meaningful

How to Efficiently Identify High-Value TG Active Data?

In practice, manually verifying whether each number “passes the activity check” is unrealistic. For one-person businesses or overseas studios that value efficiency, using a professional data screening system is essential.

An efficient screening process typically includes the following steps:

  1. Batch Number Generation: Randomly generate global phone numbers targeting specific markets (e.g., USA, Malaysia, Singapore, etc.).
  2. Validity Filtering: Use API or protocol detection to quickly eliminate numbers that have not registered for Telegram.
  3. In-Depth Activity Detection: Further filter out truly “live” high-value users by checking the account’s last online status, whether it has an avatar, and whether it is part of an active social circle.

Using this method, you can transform an initially messy raw number database into precise.

Related Articles

How to plan tg US data by region: A guide to splitting screening tasks for the East, West, South and Midwest

How to effectively use tg US data to acquire customers overseas? This article explains in detail the practical method of splitting screening tasks according to the four major regions of the United States: East, West, South, and Midwest. It combines Telegram's US data activity and gender screening logic to help you accurately target target groups. Contains step-by-step checklist and notes.

B2B SaaS going overseas: Use valid US TG numbers to accurately screen ICP and improve customer acquisition efficiency

What is a valid TG number in the United States? How does the B2B SaaS overseas team improve the customer acquisition efficiency of US TG by defining ICP and detecting number activity and gender by level? This article starts from the scenario, compares the filtering level and the value of data fields, and helps you make full use of the valid TG number in the United States.

US WA number small sample test guide: How to use screening data to decide whether to expand WhatsApp customer acquisition tasks

Want to know the quality of US WA numbers? Do a small sample test first! This article teaches you how to use KK-DATA to generate and screen U.S. WhatsApp numbers, judge the value of the numbers through activation rate, activity, gender and other data, and provide a basis for decision-making on whether to expand the number. Contains detailed operating steps and results interpretation techniques.