Telegram interaction frequency detection, as the name suggests, is to determine the user's account activity and communication willingness by analyzing the user's message sending, receiving, reading, replying, expression feedback and other behaviors within a certain period of time. For enterprises, identifying users who interact frequently means finding target audiences who are more likely to complete conversions, transactions, and long-term retention.
In cross-border marketing, private domain operations, community management, etc.In scenarios where Telegram is widely used, interaction frequency has become a further key judgment dimension than "whether an account is opened." By accurately identifying user resources with high activity and participation, companies can not only improve delivery efficiency, but also effectively avoid resource waste.
Difficulties in identifying conventional interaction frequencies
Traditional identification methods mainly rely on manual observation, manual export of message records, andMethods such as API query one by one have the following major problems:
lTime consuming: The interactive behavior of a single account takes several minutes, and tens of thousands of accounts cannot be processed on a large scale;
lShallow dimensions: Only checking the recent online time and message reading status cannot fully evaluate the interaction quality;
lHigh false positive rate: Many zombie accounts pretend to be online, but their interaction data is almost zero;
lBig technical threshold: Need to access complexThe Telegram Bot system is not friendly to operators.
At this time, a system that can batch process, automatically evaluate, and has thePlatforms with AI analysis capabilities are particularly critical.
How to identify digital planetTelegram interaction frequency?
Digital Planet provides a set ofThe underlying logic of the interaction frequency detection solution operated by Telegram includes but is not limited to the following aspects:
1.Message behavior analysis
The system automatically captures users' speaking frequency, message length, reply ratio and other indicators in groups, channels, and private chats to determine engagement.
2.Interactive trajectory assessment
Determine whether users like, vote, and respond to group content, whether they continue to appear within a certain period, and whether they interact with administrators.
3.Online frequency statistics
Not limited toThe "recently online" label uses time series to analyze details such as user activity cycles, frequency fluctuations, and active periods.
4.Account consistency identification
Exclude zombie accounts and idle accounts registered in batches, and filter them out through behavioral analysis"Fake active" "mechanical account".
5.Batch processing and hierarchical export
Support for thousandsTelegram accounts are quickly tested and the results are grouped and exported by activity to facilitate subsequent accurate delivery.
Through the Digital Planet platform, users can complete interaction evaluations in minutes that would otherwise take hours to complete manually, and clearly see the interaction ratings and recommendation tags of each account in the results.
Examples of real application scenarios
Scenario 1: Cross-border sellers optimize private domain conversion paths
An independent website seller in the European and American markets, inThe Telegram channel has accumulated more than 50,000 potential users. After passing the Digital Planet test, he found that only 8,000 people had an interaction frequency of "mid-to-high" level, and immediately adjusted the focus of advertising to this group. As a result, the ad click-through rate increased by 42%, and the actual order conversion rate increased by 18%.
Scenario 2: Community operators improve daily interactions
A certain game project team has established multiple national language groups, and needs to select high-interaction users for incentives every day. Set by Digital PlanetWith a 7-day interaction frequency threshold, the system automatically marks "highly active groups" every day to help operators push information and carry out activities at the right time, and the community retention rate remains above 82%.
How to enable interactive detection using Digital Planet?
1.Register and log in to the Digital Planet Platform
Use mobile phone number/Email to quickly open an account.
2.uploadTelegram account list
Support batch importID, @username or mobile phone number format.
3.choose"Interactive frequency detection" function
Custom detection cycle (nearly3rd/7th/30th), behavioral indicator weights, etc.
4.Start testing and wait for results
Get a full analysis report in minutes, including ratings, tags, suggested filters, and more.
5.Export lists by engagement level
The system supports pressing high/Medium/low interaction level groups are exported to CSV files, which can be directly used for advertising, community operations, private domain maintenance, etc.
Why is Digital Planet the first choice for platform advantages?
lMultidimensional label recognition: Not only detects interaction frequency, but also overlays dimensions such as gender, active time period, language country, etc.;
lAI blessing: Based on real interaction behaviors and dialogue content, intelligently recommend high-value users;
lGlobal coverage of data: covering the whole worldTelegram account supports detection by country and language;
lNo access requiredBot: Simple operation, suitable for users with non-technical background to get started quickly;
lFast update frequency: Daily update of detection logic and adaptationTelegram ecological changes;
lCompliance and transparency: Data use and output comply with third-party platform standards, ensuring users’ legal compliance screening.
If you need to test the frequency of account interaction and obtain exclusive filtering suggestions, you can contact customer service at any time to activate the permission experience. Next, we will introduce how to combineThe dual dimensions of "recent online time" and "interaction frequency" create a more detailed Telegram crowd management strategy. Continue?
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