1. Three major basis: the core logic of Telegram’s ethnic screening
Telegram’s race screening is not simply race determination, but combines the three major bases of account origin, regional race characteristics, and consumption habits to accurately target race groups in the target market and eliminate accounts that are irrelevant to operational needs. The location of the account is the basis and is directly related to the user's regional race; regional race characteristics determine the user's consumption preferences and aesthetic tendencies; consumption habits affect the user's product selection and transaction willingness. The combination of the three achieves accurate racial screening and category matching.
2. Screening strategies for the three core ethnic groups
For the three major ethnic groups in the Middle East, Europe, America, and Southeast Asia that are the core of cross-border operations, differentiated screening strategies are formulated to adapt to the regional characteristics of each group and improve screening accuracy.
Middle Eastern ethnic groups: Focus on screening accounts belonging to Middle Eastern countries such as Saudi Arabia, the United Arab Emirates, and Qatar, combined with Arabic usage habits and Islamic cultural characteristics to assist in the determination, and eliminate accounts from non-Middle East regions;
European and American ethnic groups: focusing on accounts from European and American countries, combined with language characteristics such as English and Spanish, to determine the core group of Caucasians and screen out precise users with high spending power;
Southeast Asian ethnic groups: Target accounts in Southeast Asian countries such as Indonesia, Malaysia, and Thailand, and combine local languages and Southeast Asian cultural characteristics to select user groups that are suitable for cost-effective products.
3. Ethnic screening and accurate category matching skills
The core value of ethnic screening is to make the screening results fit the target group of the category. Different categories need to focus on the corresponding core ethnic groups to achieve accurate matching.
Accessory luxury, beauty, and jewelry categories: Prioritize screening of Middle Eastern ethnic groups. This group has high acceptance of accessory luxury products and strong spending power, and is the core conversion target;
High-end 3C, outdoor products, and personalized customization categories: focus on targeting European and American groups to fit their consumption habits of focusing on quality and pursuing personalization;
Fast-moving consumer goods, affordable clothing, and daily necessities categories: focus on Southeast Asian ethnic groups, match their cost-effective consumption needs, and achieve wide coverage and high conversion.
4. Practical operation and cross-validation of ethnic screening tools
With the help of AI screening tools, automatic and precise screening of Telegram's ethnic groups can be achieved. At the same time, it needs to be cross-validated with the active time dimension to avoid invalid screening.
Practical operation of the tool: import the number data, check the "Ethnic Filtering" function, select the target ethnic group (Middle East/Europe and America/Southeast Asia), and the tool automatically combines the place of origin, language characteristics, and cultural tags to complete the screening;
Cross-validation: Eliminate accounts with "race matching but active time not up to standard" and only retain users with "race matching + super high/high activity" to achieve double precision and improve marketing conversion efficiency.
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It is a common choice for all professional teams to complete rational screening before actually reaching users.
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