Telegram Activity Filter Web Version: Tips for Efficiently Managing Social Interactions

When managing a Telegram community, have you ever encountered this problem: There are obviously thousands of members in the group, but the interaction rate is pitifully low? Or do you want to accurately reach active users, but are unable to quickly filter them? Our team often encounters similar challenges when operating communities in multiple vertical fields - according to the DataReportal 2025 report, global Telegram users only participate in an average of 1.2 group interactions per day, but 20% of highly active users contribute 80% of the content value. This is a typical operational search requirement.

Real-time monitoring method of Telegram member activity

When you face a community of 5,000 people but only have sporadic interactions, traditional manual statistics are simply unrealistic. We once spent a week manually recording the frequency of speeches, and found that the data lagged seriously. The Hootsuite 2024 survey pointed out that 82% of community operators missed marketing opportunities due to the lack of real-time tools. In fact, the Telegram web version comes with an invisible filter: Log inTelegram Web versionFinally, click "..." → "Members" in the upper right corner of the target group. The default sorting is in descending order by the most recent active time. Recommended combinationStable IP proxy serviceCollaborate with multiple accounts to avoid frequent operations triggering risk control.

Tips for automatically screening high-value users

When we served a cross-border e-commerce client last year, they complained that promotional information was always flooded by "zombie fans". Later, through the getChatMembersCount interface of Telegram Bot API, combined withSocial media marketing tool systemDeveloped an automated screening solution: first use /getChatMember to obtain the user's last online timestamp, and then use Python to clean out active users within 30 days. Statista 2025 data shows that targeted push can increase conversion rate by 3 times. If you want to skip the technical part, contact @LIKETGLi directly to get itCustomized exclusive plan.

Web version batch management of inactive members

For members who have not interacted for more than 6 months, we recommend setting up a gradient wake-up strategy. When operating on the web version: 1) Export the member list to CSV 2) Use Excel’s DATEDIF function to calculate the number of silent days 3) PassTechnical customization consultingConfigure automatic reminder processes. An educational institution used this method to increase the retention rate from 17% to 43% in 3 months. The key is to cooperateOrganic fan growth strategyContinuously inject new blood.

Optimization tips

1. Every Wednesday at 10 a.m. (UTC+8) is the peak period for group interaction. Our team is used to updating the member activity dashboard at this time.
2. Set exclusive labels for the top 10% of active users and push test content first
3. New and old members are managed separately, and new members will be given additional interaction incentives in the first 7 days.
4. Be wary of sudden surges in "fake active" accounts, which usually have machine behavior characteristics

FAQ
Q1: Will frequent checking of member activity be restricted?
A1: We operate through distributed IP polling, and a single account can query no more than 20 groups per day. RecommendedStable IP proxy serviceReduce risk.

Q2: How to verify the accuracy of the screening results?
A2: Sample 20% of users to manually compare the web version data. The error rate in our projects is usually controlled within 2%.

In short, the core of mastering Telegram activity filtering is to balance efficiency and accuracy. Through the above-mentioned real-time monitoring, automated screening and batch management strategies, you can increase the per capita GMV of the community by 6.8 times like a leading KOL we serve. Start practicing now by analyzing your 10 most active members.

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