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Real-time detection of mobile phone device models
Carrier format filter
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iOS blue label filtering
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Real-time detection of empty numbers when global numbers are turned on and off
Global Apple Android Device Screening
Global IOS blue label screening
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Line
Line activation screening
Line active filter
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Telegram account gender and age detection
TG username filtering
Telegram account activity detection
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Zalo
Zalo account gender and age filter
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Binace
Binance mailbox detection is enabled
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Facebook account opening filter
Facebook account UID filtering
Real-time detection and activation of Facebook mailbox
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Linkedin account opening screening
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DHL account opening screening
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Flipkart account opening screening
CoinW account opening screening
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Web3 Fusion Cellular Filtering
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Noon account opening screening
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Coupang account opening screening
Economictimes account opening screening
MoniePoint account opening screening
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KakaoTalk screening registration opened
Microsoft
Micosoft account opening screening
Microsoft Teams account activation screening
Viber
Viber account opening screening
Viber account active screening
Bitom
BOTIM account opening screening
BOTIM account gender and age screening
TikTok
TikTok account opening screening
Full format collection of TikTok blogger fans
RCS
RCS system type filtering
RCS account Android filtering
RCS account opening screening
Mail
Global mailbox real-time detection is effective
RobinHood mailbox real-time detection enabled
CoinW mailbox real-time detection is activated
HTX mailbox real-time detection and activation
Real-time detection and activation of KuCoin mailbox
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20
2026-05
How to filter Indian Telegram user data? Active accounts, male users, and mature users should be run separately
Telegram users in India have grown very rapidly in recent years, especially in the fields of currency circle, tool products, community projects, AI software, financial information and cross-border services. Telegram has slowly transformed from a simple chat tool into a long-term operation portal. Precisely because the number of users is increasing, the real difficulty now is not “finding Telegram users”, but “finding what kind of Telegram users”.
12
2026-05
Telegram AI summary is becoming popular. Why should we run active screening before channel traffic?
An obvious change in Telegram recently is that there are more and more AI summary channels. Especially in encryption, information, technology, cross-border and overseas community scenarios, a large number of channels have begun to use AI to automatically organize content, refine key points, and generate summaries in batches. The reason is simple: there is more and more information, and users no longer have the patience to read long content every day.
29
2026-04
After acquiring customers through the Telegram channel, how to screen out high-quality users through screen numbers?
Telegram itself is a platform that can easily amplify the scale of data. As long as the channels are opened, the number of people joining the group and the number of channel subscriptions can grow rapidly. But after the scale increases, what really affects the results is no longer "how many people come in", but "the quality of the users who stay."
28
2026-04
Why does Telegram private domain operation require more early user grouping?
When many teams build Telegram's private domain, they will focus on "attracting people" and "building groups." As long as the number of people continues to grow, they feel that the private domain is expanding. But after a period of actual operation, you will find that the group is getting bigger and bigger, but the interactions are getting less and less, and there are not many users who can really convert.
27
2026-04
The bigger the Telegram group, the better. Core users and potential leads should be operated separately.
When many teams are working on Telegram, they regard "number of people in the group" as the most intuitive indicator. The more people there are, the bigger it seems to be, but after a period of actual operation, you will find that the group is very large, but almost no one talks, and there are very few users who can really convert.
23
2026-04
How to judge "long-term usage traces" of Telegram accounts: a more stable screening method than online status
When doing Telegram traffic and private domain operations, many teams’ first reaction is to look at the “online status”. For example, whether you have been online recently or whether you were active that day, such labels are indeed intuitive, but more and more practical teams are beginning to find that it is difficult to filter out truly valuable users based on this information alone.
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