US TG number gender filtering and layering guide: How to correctly use Telegram’s gender field to optimize customer acquisition

In B2C overseas customer acquisition, gender screening of US TG number is a key step to achieve precise reach. Many teams have a large number of US Telegram numbers, but lack the ability to segment people, resulting in low conversion rates. The Telegram number screening service provided by KK-DATA supports gender detection (including gender, age, avatar and other fields), but how to correctly understand these fields and avoid data misunderstanding is a prerequisite for efficient use of US Telegram numbers. This article will gradually dismantle the correct usage of gender screening for U.S. TG numbers from data sources, operation steps, common misunderstandings to best practices, helping you improve the ROI of overseas customer acquisition.

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What is the US TG number gender screening?

Gender screening refers to further obtaining the gender information (male, female, unknown) and related fields such as age and avatar in the user’s public profile on the basis of batch detection of whether the US TG number is a registered Telegram user. In the Telegram screening task, KK-DATA exports a data set containing gender identification results through the “tg activation + gender detection” option. What needs to be clear is: Gender screening is not identity verification, but a reference dimension to assist crowd targeting. For example, by screening female users in the “US TG Number”, you can test and promote beauty or fashion products; while male users are more suitable for electronic or gaming content.

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Data source and credibility of US Telegram number gender field

Data sources for the gender field include:

• Telegram public profile information filled in by the user (some users set their gender).
• The AI ​​model makes inferences based on public information such as nicknames, avatars, and usernames (such as gender characteristics of avatars, wording tendencies in nicknames).
• Partial third-party open data aggregation (does not involve privacy leakage).

Therefore, the recognition results have the following boundaries:

• Not guaranteed to be 100% accurate: Some users do not fill in their gender or use a neutral avatar, which may lead to “unknown” or misjudgment.
• Age is for overview reference only: For example, the “about 30 years old” field comes from model estimation and cannot be used for accurate verification at the ID card level.
• Credibility Marking: KK-DATA will mark field descriptions (such as gender_confidence column) in the export results, and users are advised to pay attention.

Extraction mechanism of gender and age fields

The detection module of KK-DATA is based on the publicly available information of Telegram users (such as username, avatar URL, custom status, etc.), and combines the algorithm model to output the gender and age range. In practical applications, the age field should be understood as an interval reference such as “about 30 years old” rather than a precise number. Users should not use the age field for strict compliance scenarios (such as age verification) and only as a rough filter for marketing grouping.

How to judge the effectiveness of gender recognition

• The larger the sample size, the more credible the overall distribution trend. Misjudgment of a single piece of data does not affect the effectiveness of the overall stratification.
• In the export results, KK-DATA will provide a “Credibility” or “Source” field (whichever is actually exported by the console). It is recommended to filter low-confidence data based on this field.
• Regularly update data: Telegram user information may change. It is recommended to recheck on a monthly or quarterly basis to avoid using expired data.

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How to use the gender field to perform secondary stratification of US TG subscription numbers?

The following steps are combined with the KK-DATA operation interface to show how to extract the gender field from the original US TG activation number and layer it to achieve precise marketing.

Step 1: Filter and export U.S. TG numbers containing gender data

1. Log in to KK-DATA Console.
2. Create a new screening task and select the Telegram platform.
3. Check “TG activation” and “Gender detection” in the “Detection Type” (you can further check if you need age, avatar, etc.).
4. Upload the list of numbers to be detected (CSV or TXT format, supports up to about 1 million).
5. Submit the task and wait for completion to export the CSV results. Note: The estimated cost will be displayed before the task is submitted. Gender detection is an advanced item. For specific unit prices, please see the real-time price on the console. Fees will be deducted on a per-item basis.

The exported CSV contains columns: phone, tg_status (activated/unactivated), gender (male/female/unknown), age_range (such as “30-35”), tgid, avatar_url, etc.

Step 2: Use the gender field to group the export results

Open CSV using Excel or Google Sheets:

• Sort or filter the gender column and extract three subsets: male, female, and unknown.
• Records that tg_status are “activated” can be further filtered to ensure that the number is authentic and valid.
• Save grouping results as separate lists for different marketing content tests.

Step 3: Combine with activity, tgid and other fields to form a finer granularity

Suppose your goal is to promote a fitness app for the US market:

• Filter Male + Active in the past 7 days (need to check the “tg active” option during detection), and push sports equipment ads.
• Filter Female + About 30 years old + Active in the past 30 days, push yoga courses or healthy eating content.
• With the tgid field, users who have already been contacted can be excluded to avoid repeated harassment.

Through this combined filtering, the original single-dimensional U.S. TG number is split into multiple precise tag groups, significantly improving the conversion rate.

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Common misunderstandings about gender screening of American TG numbers

Common misunderstandings	Correct understanding
Treat the gender field as 100% accurate	Gender identification is based on inference from public information, and there is a probability of misjudgment. It is recommended to verify it in combination with other dimensions.
Mistakenly believing that the age field is accurate to years	Age only represents an approximate range and cannot be used for ID card-level verification or compliance scenarios.
Ignoring data privacy compliance	In the United States, regulations such as CCPA must be complied with, and user information must be clearly informed and consent obtained (legitimate purposes only).
Only rely on single filtering results	User information may change, regular updates (such as once a month) can keep the data fresh.

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Best Practices for US Telegram Number Gender Screening

1. Use gender for preliminary stratification, not final decision-making: Treat gender as the starting point for grouping, and then verify the response rates of different genders through A/B testing.
2. Small batch testing before scaling up: First test thousands of US TG numbers, observe gender distribution and marketing effects, and then decide whether to purchase a larger list.
3. Pay attention to the timeliness of data updates: Telegram users may change their avatars or close public information. It is recommended to re-test high-value users every quarter.
4. Comply with target country privacy regulations: The US CCPA requires companies to inform users of their data processing methods and ensure that user consent is obtained when using data exported by KK-DATA or for legitimate business purposes.
5. Combined with platform features: Telegram users are relatively young, and the gender field has high value in industries such as fashion, games, and education. In B2B scenarios, activity analysis can be prioritized rather than gender.

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How to get gender data in the US TG number database?

KK-DATA provides a one-stop operation process without complicated configuration:

1. Log in to Console and click “Create Task”.
2. Select the Telegram screen number, check “Gender Detection” and other required fields.
3. Upload the list of US numbers (you can use Global Number Generation to generate US numbers for testing for free).
4. Submit the task and be notified via Telegram when the task is completed.
5. Export CSV to obtain a data set containing rich fields such as gender, age, activity, tgid, etc.

Billing Method: No subscription package, billing will be based on item. Use USDT (TRC20) to recharge anonymously, with a minimum of about 50 USDT. For specific unit prices, please refer to the [official website billing page] (https://kkdata.cc/billing/) or the real-time price on the console.

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FAQ

**Q: How accurate is the gender screening of U.S. TG numbers? ** Answer: The accuracy of gender recognition is affected by the data source and cannot give a unified percentage. KK-DATA is based on user public information and AI model inference. The results can be used as a reference, but are not guaranteed to be 100% correct. It is not recommended for identity verification or high-precision orientation.

**Q: In addition to gender, what other fields can be used to filter US Telegram numbers? ** Answer: TG activation (registration status), activity (time window can be specified), age, avatar, Telegram ID (tgid) and other fields can be detected. The detailed fields are subject to the console export results, and the prices for different combinations of detection types are different.

**Q: Are there any additional charges for gender screening? ** Answer: Gender testing is an advanced testing item, and the cost is higher than a simple test. Please check the real-time price on the console for the specific unit price. The estimated cost will be displayed before the task is submitted.

**Q: Can the filtered gender field be used for precise push? ** Answer: Yes, but it is recommended to cooperate with other fields (activity, age) and A/B testing. For example, push promotional information to users who are “male + active in the past 30 days” and verify the effect on a small scale first and then amplify it.

**Q: Can the number generation module generate American Telephone and Telegraph numbers for testing? ** Answer: Yes. KK-DATA’s global number generation supports random generation of US number segments. The generated numbers are free and can be used to test the number screening process. However, the generated numbers are not guaranteed to be truly activated and must be confirmed through number screening testing.

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If you need to efficiently filter US TG numbers and use the gender field to stratify the population, you can log in to the KK-DATA console to try it, or contact two-way customer service for exclusive guidance.

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot View usage documentation: https://docs.kkdata.cc/ Learn more: https://kkdata.cc/