Group Collection vs. Phone Number Screening: Which Telegram Customer Acquisition Method is More Efficient?

In the field of Telegram user acquisition, there are two mainstream approaches: “Group Scraping” (extracting member lists from target groups) and “Number Filtering” (generating and filtering registered users by number segments).

Many beginners feel confused when choosing, thinking that scraping group users is more “targeted” because they are already in relevant groups. However, from the perspective of scalability and stability, these two methods have essential differences.

Option 1: Group Scraping

The logic of group scraping is: find a competitor’s group -> export all members -> send bulk private messages.

Advantages:

• High intent: Users are already in a specific niche, naturally having some interest.

Disadvantages:

• Data easily becomes stale: Group membership changes quickly, many users have deactivated or set their accounts to private.
• Extremely high competition: All members of the same group may be messaged by 100 scrapers every day, causing high user annoyance -> very high report rates.
• Limited scale: Constrained by the number of groups, it’s hard to achieve coverage in the tens of millions.

Option 2: Number Filtering

The logic of number filtering is: target country number segments -> KK-DATA filtering -> precise outreach.

Advantages:

• 100% data freshness: Real-time filtering of currently registered users, no need to worry about expired data.
• Extremely high uniqueness: The users you filter may never have been reached by other scrapers, leading to higher user acceptance.
• Strong scalability: As long as you have number segments, you can expand indefinitely without relying on specific groups.
• Controllable risk: Filtering out invalid numbers greatly reduces the account ban rate.

Comprehensive Comparison Table

Dimension	Group Scraping	KK-DATA Number Filtering
Data Source	Relies on existing groups (passive)	Self-generated + real-time filtering (active)
Data Freshness	Low -> contains many zombie accounts	Very high -> real-time status verification
User Competition	Very high (users are bombarded)	Low (reaching fresh users)
Acquisition Scale	Limited by number of groups	Determined by number segment range (almost unlimited)
Account Risk	Very high -> banning due to user reports	Low -> as long as frequency is controlled
Applicable Stage	Very early stage, small-scale validation	Scalable growth, rapid market coverage

How to Choose the Best Option for You?

If you are a solo international entrepreneur just starting out and want to quickly validate a product’s response in a specific niche group, you can try small-scale group scraping.

But if you are a studio pursuing scalable growth, or your goal is to quickly cover a country/region market, then “Number Filtering” is the only solution that can support industrial-scale user acquisition.

Best Practice: Many top operators use a “combination approach” -> use group scraping to analyze user profiles -> lock in high-value country number segments -> use KK-DATA for large-scale number filtering and outreach.

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👉 https://app.kkdata.cc/

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