In Telegram's cross-border marketing, user activity is the core indicator that determines reach and conversion rates. However, most companies only judge activity on the single dimension of "whether they are online or not." As a result, the selected users appear to be active, but in fact have no conversion value, and a large amount of marketing resources are consumed on ineffective reach. In order to get Telegram marketing out of the inefficiency dilemma in 2026, we must establish scientific activity determination standards, comprehensively judging from the six core dimensions of active time, race, gender, age, avatar, and membership status, so that every contact can target truly high-activity, high-intent, and high-value users.
Dimension 1: Active time - quantitative level, locking in effective active users
Active time is the basis for multi-dimensional judgment and the core premise for screening effective users. The core is to achieve quantitative classification through online cycle, usage frequency and active period, saying goodbye to "single online" judgment. Based on the user's last online time, average daily online time and active period, users can be divided into four levels: ultra-active, high-active, normal active and silent: those who have continuous online records in the past 3 days and are online for more than 1 hour a day, matching the target market's active time period (such as 20-22 o'clock in Southeast Asia, 10-12 o'clock in Europe and the United States) are ultra-active users; those who have online records in the past 7 days and are online more than 3 times a week, which fits their own marketing period, are high-active users. These two types of users are the core targets of marketing, and the conversion efficiency is 4-5 times that of ordinary active users; silent users who have not been online for more than 30 days can be temporarily not reached to avoid wasting resources.
Dimension 2: Race and gender - accurate matching to fit the target group of the category
The dimensions of race and gender are the keys to achieving "accurate reach." Combining the Telegram account location, avatar characteristics, and personality signature, the race and gender of the user can be accurately identified and adapted to the marketing needs of different categories. Use AI tools to analyze account origins (such as the Middle East, Europe, America, and Southeast Asia) to determine racial tendencies, and adjust marketing directions based on regional consumption habits; identify user gender at the same time, and focus on female active users for female-preferred categories such as beauty, maternal and infant products; for male-preferred categories such as 3C digital and outdoor products, give priority to male users to make the reach more targeted and reduce ineffective advertising.
Dimension 3: Age stratification - targeting potential groups and optimizing marketing rhetoric
Age stratification can accurately target users with corresponding consumption potential. Combining the texture of avatars, personalized signature tone and usage behavior, AI tools are used to determine the age range of users. They are divided into three categories: 18-25 years old (young consumer group, prefer trendy, cost-effective products), 26-40 years old (core consumer group, strong spending power, rational decision-making), and over 41 years old (mature consumer group, focusing on quality and accurate demand). Adjust marketing words and content for different age groups: focus on trendy selling points and welfare activities for young groups, focus on product value and after-sales guarantee for core groups, and focus on quality advantages and exclusive services for mature groups to further improve interaction and conversion efficiency.
Dimension 4: Avatar detection - distinguishing authenticity and filtering out fake accounts
The avatar dimension is the core for judging the authenticity of an account. It is directly related to the user's conversion intention. It focuses on screening users with real avatars and filtering out fake and non-avatar accounts. Use AI tools to detect avatar characteristics: give priority to retaining real-person avatars (clear faces, natural scenes). Such accounts are mostly used by individuals and have stronger activity and conversion intentions; filter accounts without avatars, system default avatars, and advertising picture avatars. Most of these accounts are robot accounts, batch registration accounts, or low-activity accounts with no real consumption demand, which can easily lead to invalid investment or even risk control risks after being accessed.
Dimension 5: Membership or not - lock in high value and focus on high-quality resources
Telegram members are the core identifier of high-value users. Member users (especially paid members) usually have stronger spending power, higher activity and stronger stickiness, and are high-priority groups for marketing. Use the tool to detect whether the account has a Telegram membership and membership level, focusing on screening paid members and high-level membership users. These users are not only highly active, but also have a much higher acceptance of paid products and high-end services than ordinary users. For ordinary non-member users, comprehensive judgments can be combined with other dimensions to prioritize users who meet the multi-dimensional standards and have potential spending power to achieve a reasonable tilt of marketing resources.
Implemented application: empowered with screening data tools to improve screening efficiency
The implementation of the five-dimensional judgment system is inseparable from the support of professional tools. With the help of Telegram's special screening tool, users' online time, interactive behavior, and login devices can be detected with one click, user activity level classification and screening can be automatically completed, and high-value user lists can be output in batches, greatly improving screening efficiency. Through this system, a cross-border e-commerce company increased the reach rate of Telegram marketing by 80% and reduced invalid exposure by 65%, truly realizing the transformation from "casting a wide net" to "precisely capturing". Scientific activity determination is not a complicated theory, but a practical screening method, which can help companies say goodbye to ineffective reach, focus on high-value users, and improve marketing conversion efficiency.
It is a common choice for all professional teams to complete rational screening before actually reaching users.
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