TG Batch Acquisition of Recently Active Accounts: Core Logic for Improving Marketing Conversion Rate

In the field of overseas marketing, Telegram (TG), with its high level of privacy and powerful group features, has become a key platform for cross-border e-commerce, overseas studios, and individual entrepreneurs to acquire customers. However, many practitioners often encounter a pain point when doing TG marketing: their messages go unanswered, and account feedback is extremely low.

The root cause is often that the TG data obtained is of poor quality, containing a large number of invalid accounts that have been deactivated, have been offline for a long time, or are in a “zombie state.” To achieve efficient conversion, the core trick lies not in “quantity,” but in how to batch acquire active accounts that have been recently online.

Why Is “Recently Online” the Gold Standard for TG Marketing?

When conducting large-scale data screening, simply having a valid phone number is not enough. A registered account does not mean it is an active user.

1. Reduces the risk of account bans: If you send messages to a large number of accounts that have been offline for a long time, these accounts, due to a lack of interaction, can easily be flagged by the system as recipients of spam, triggering the platform’s risk control mechanisms.
2. Improves conversion efficiency: Users who have been online recently are actively engaged, so the probability that they will receive a message and respond immediately is much higher than that of dormant users.
3. Saves marketing costs: Whether using automation tools for private chats or advertising in groups, every penny spent on active users yields a higher ROI.

Core Technical Process for Batch Acquiring Recently Online Accounts

To obtain high-quality TG data, one generally needs to follow a standard chain of “generation → verification → activity detection.”

1. Batch Number Generation and Preliminary Verification

First, use a global phone number random generator to create a pool of numbers that comply with the rules for the target market (e.g., the US, Southeast Asia). This step is fundamental and aims to expand the search range.

2. TG Account Existence Detection

Use a professional number screening system to perform batch detection on the generated numbers. The system quickly identifies which numbers have already registered a Telegram account, eliminating invalid numbers that only have a phone number but have not activated the TG service.

3. In-Depth Activity Screening (Core Technique)

This is the key to distinguishing “ordinary data” from “high-quality customer acquisition data.” By technical means, detect the last online time (Last Seen) of the accounts.

Dimension	Ordinary TG Data	Recently Online Active Data
Account Status	Contains many zombie accounts, deactivated accounts	All are real users active recently
Interaction Feedback	Very low, messages mostly ignored	High, users have a habit of checking immediately
Marketing Cost	Wastes a lot of resources on invalid accounts	Precision targeting, low customer acquisition cost
Risk Control Level	Very high, easily leads to marketing account bans	Relatively low, aligns with user interaction logic

Practical Advice: How to Use Data Screening to Improve Acquisition Quality

If you are trying to do TG marketing, it is recommended not to directly buy ready-made, unfiltered “mixed bag” data packages. Instead, you should establish your own data cleaning process:

• Set target time windows: Combine the time zone of the target market to screen accounts that are frequently online during local active hours.
• Multi-dimensional filtering: In addition to the “recently online” indicator, you can also perform secondary cleaning by checking whether the account has an avatar or a username.
• Small-scale testing: Before conducting large-scale batch marketing, test the filtered active data on a small scale to observe the response rate and conversion rate.

The TG data obtained through this method will be far more precise than traditional blind mass messaging.

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