1. Three-dimensional quantification: the core logic of Telegram active time screening
The core of Telegram's active time screening is to get rid of the single judgment of "whether online or not" and quantify user activity levels through three-dimensional data of online cycle, usage frequency, and active period , and accurately distinguish real activity from pseudo-activity. The online cycle determines the user stickiness, the frequency of use reflects the user's platform dependence, and the active period matches the usage habits of the target market. Only the combination of the three can determine the true marketing value of the account, and avoid including pseudo-active accounts with "single login, short-term online" into the effective list.
Quantitative standards for second and fourth level activity levels
With the help of professional global screening tools, Telegram users can be divided into four levels according to active time, achieving standardized hierarchical screening, directly eliminating silent users, and accurately targeting effective active groups.
Ultra-highly active users: online continuously for the past 3 days, with an average daily online time of ≥1 hour, and the login period matches the high-frequency usage time of the target market;
Highly active users: Online ≥3 times in the past 7 days, online for an average of ≥30 minutes per day, with stable usage patterns;
Ordinary active users: those who have logged in and had basic interactive behaviors in the past 30 days, and the frequency of use is low;
Silent users: If they have not logged in for more than 30 days, they will be removed directly and will not occupy marketing resources.
3. Key points for practical operation of active time screening tools
Active time screening does not require manual statistics. Professional tools can realize automated detection and level labeling. The core practical operation is divided into three steps. The first step is to import Telegram number data in batches, and the tool will automatically complete the format verification and basic validity detection; the second step is to customize the activity threshold and adjust the standard according to the category operation needs. For example, for high-frequency interactive categories, the high activity standard can be raised to "online ≥ 5 times in the past 7 days, and the average daily online ≥ 1 hour"; in the third step, start the detection, and the tool will automatically capture user login time, online duration, and active period data, complete four-level labeling, and export the filtering results with one click.
4. Time period adaptation skills that fit the target market
The key to active time screening is to match the usage period of the target market and improve the reach rate. For the Middle East market, the focus is on selecting highly active users who are online between 20-24 pm; the European and American markets focus on online groups between 10-12 am and 16-18 pm; and the Southeast Asian market targets high-frequency login users between 19-22 pm.
Use the tool to screen out dual high-quality users with "active level up to standard + time period fit", so that every contact falls within the user's high-frequency usage period, increasing information exposure and interaction rates.
Amman is the world's leading number screening platform, providing global customers with batch number screening and testing services covering 236 countries. The platform currently supports more than 40 mainstream social networking and applications, including WhatsApp, Line, Twitter, Facebook, Instagram, LinkedIn, Viber, Zalo, Binance, Signal, etc., adapting to the needs of multiple scenarios.
The main core functions cover multi-dimensional precise screening such as activation, activity, interaction, gender, avatar, age, online, accuracy, empty account, mobile phone device, etc., and can flexibly meet the needs of different users. Its core advantage is to integrate global mainstream social and application resources to provide users with one-stop, real-time and efficient number precision screening services, helping customers achieve global digital layout.
It is a common choice for all professional teams to complete rational screening before actually reaching users.
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