US TG Male Data vs Female Data: A Guide to Differentiating List Strategies (2025 Update)

#US TG Male Data vs Female Data: A Guide to Differentiating List Strategies (2025 Update)

When acquiring customers overseas, gender differences among Telegram’s user groups directly affect conversion rates, costs and user experience. When many teams screen numbers in batches, they often only focus on whether the number is activated and ignore the accuracy improvement brought by the gender dimension. This article will focus on the core differences between US tg male data and female data, combined with KK-DATA’s gender screening capabilities, and provide a set of implementable list strategy operation steps to help you reach target users more efficiently in 2025.

What is US Telegram gender data? Why does the overseas team need to distinguish between male and female users?

Telegram gender data is not a field that users fill in when registering (Telegram does not require gender), but a gender label inferred by the screening tool through an intelligent model that analyzes the user’s avatar, nickname, public information and other features. The accuracy of this kind of inference can reach usable levels in marketing scenarios, but it is a probabilistic result and should not be regarded as absolutely accurate.

There are three reasons why overseas teams need to distinguish gender:

1. Conversion rate improvement: Male users are more involved in tools, finance, and game products; female users are more valuable in beauty, maternal and infant, and social e-commerce. Accurate push can significantly increase the reply rate and click-through rate of private messages.
2. Cost Optimization: Avoid wasting detection and sending costs by sending messages to irrelevant users. Under the pay-per-item model, filtering out low-intention genders is equivalent to directly saving money.
3. Compliance and Experience: Excessive group messaging of female users may lead to complaints. After distinguishing gender, the speaking skills and frequency of sending can be adjusted according to different preferences to reduce the risk of account bans.

What needs to be made clear is that Telegram’s screening capabilities are divided into two levels:

• tg activation detection: Determine whether the number has been registered with Telegram.
• tg Gender Detection: Based on the above, further infer fields such as gender, age, and whether there is an avatar. Both can be used in combination.

US TG male data vs female data: core differences comparison table

Dimensions	US TG male data	US TG female data
Peak active hours	Weekdays 18:00–22:00 (EST)	Afternoon 13:00–16:00 and all day on weekends
Conversation initiation rate	High response rate to tool/discount information	Sensitive to trust endorsements and community invitations
Common conversion scenarios	Financial investment, in-game purchases, SaaS tools	E-commerce private domain, mother and baby, beauty, education
Data magnitude	Depends on the number pool, the ratio of men to women is close (about 55:45)	Equivalent to men, but some number segments may be too large
Age field reference	Focused on ages 22–35	Focused on ages 25–40
Avatar configuration rate	About 65% have avatars	About 80% have avatars

Difference between active time and reply window

American TG male users are more active on weekday evenings during Eastern Time, which is a time for personal social interaction and entertainment after get off work. The active distribution of female users is more even: participation is higher during afternoon breaks and weekends. This means that if you’re sending to both your male and female lists, you should schedule your male messages in the evening and your female messages in the afternoon or weekends to get better open rates.

Content preferences and conversion path differences

• Male Users: Respond faster to discount codes, function demonstration videos, and free trial links, have short decision-making paths, and value functional values.
• Female Users: Pay more attention to user reviews, case sharing, and community atmosphere. If you directly push hard advertising, the response rate may be lower than that of men. However, if you first use social invitations to build trust, the subsequent conversion cycle will be longer but the unit price may be higher.

How to develop a US TG male data list strategy? 3 practical steps

The following steps are based on the KK-DATA platform, but you can also apply the ideas to other tools.

Step 1: Generate US Telegram number segment

Open the global number generation module of KK-DATA and select the country “United States”. You can narrow it down further by state or area code (e.g. New York 212, Los Angeles 213). Select a quantity when generating (free) and the system will output a CSV file containing a pool of randomly generated numbers. It is recommended to generate about 100,000 items first to avoid waste.

Step 2: Submit gender + active dual screening task

1. Log in to KK-DATA Console
2. Create the “Telegram Screening Number” task and upload the number file generated in the first step
3. Check tg active and telegram gender data in the detection type.
4. Set the active window: It is recommended to select “30 days” to obtain enough activity; if you need high active users in the near future, select “7 days”
5. The system will automatically display the estimated cost (billing by item, see the real-time price on the console for details)
6. Confirm submission

After the task is completed, you will see the results in the background, where each record contains fields: number, TG activation status, TG active status, active days, gender, age, avatar, etc. The gender field is male / female / unknown.

Step 3: Export and apply the list

Select CSV as the export format. Once opened, you can filter by the gender column. Copy the lines gender == male individually to the new file. The men’s list can also be sorted by activity, giving priority to numbers that have been active in the past 7 days. These tgids can be used for subsequent group invitations or private messaging bots.

How does the U.S. TG data list strategy for women differ from that for men?

The application scenarios of female data are more focused on community and trust building. For example:

• Maternal and infant e-commerce: push parenting experience community invitations
• Beauty brands: Send free sample trial link
• Education: Provide free trial courses

In terms of operation, it is recommended to add avatar field detection when screening users (a higher proportion of female users have avatars, and users with avatars are more likely to generate trust). In addition, female users are more resistant to high-frequency mass messaging, so the list should prioritize users who have been active in the last 15 days and strictly control the number of messages sent per week.

How to complete US Telegram gender data filtering on KK-DATA? (Including precautions)

The complete operation process is as follows:

1. Login Console → Click “Screen Number Task”
2. Create Task → Select “Telegram” → Upload the number list (supports CSV/TXT)
3. Detection type: Check “tg activated”, “tg active” and “telegram gender data”
4. Active window: Select as needed (7 days/15 days/30 days/customized)
5. View estimated cost: The system will list the unit price and total price
6. Submit: Execute if the balance is sufficient
7. Notification: You can receive notification through Telegram bot after completion
8. Export: Select CSV or TXT, including fields: number, tg registration, active, gender, age, avatar, tgid, etc.

Common misunderstandings when obtaining male data and female data in the United States tg

Misunderstanding 1: Gender detection is equal to the user’s self-reported gender

The truth: The user did not fill in the gender in Telegram. The gender label was inferred by the algorithm based on the avatar, nickname, etc. There are certain errors, for example, a neutral avatar may be classified as unknown. The overall accuracy is within the usable range for marketing, but do not rely on it to make absolute judgments about user profiling.

Misunderstanding 2: Men must have more data than women

The truth: The ratio of men to women among Telegram users in the United States is close to 55:45, but if you only select certain number segments (such as number pools concentrated in the technology industry), the proportion of men may be higher. Through large-scale random number generation and filtering, a more balanced sample can be obtained.

Misunderstanding 3: Male lists do not need to be tested for activity

Fact: Even if the number has been subscribed to Telegram, if the user does not log in for a long time, the private messages will not be read. The American TG male data also recommends doing a TG activity test first, and screening out users who have been active for at least 30 days. Otherwise the delivery rate might be only 20%–30%.

Myth 4: Female lists must convert better than male lists

The truth: The response rate is more affected by industry and speaking skills. For example, for financial products, the response rate of men is significantly higher than that of women; while for social products, the opposite is true. It is recommended to conduct a small test first to compare the response rates of men and women using the same speaking skills, and then decide on the main direction of attack.

3 dimensions of evaluation when selecting a US TG gender data tool

1. Platform coverage and field richness

Confirm whether the tool supports tg activation, activity, and gender detection at the same time. KK-DATA supports multiple platforms such as Telegram, WhatsApp, Line, and Zalo. The gender field includes male/female/unknown, as well as age, avatar and other information.

2. Whether the data field contains activity level

Pure gender is not timely and must be combined with an active window. It is important that the tool can specify 7-day/30-day detection.

3. Is the billing model flexible?

Avoid subscription-based billing, as gender screening needs may fluctuate. The pay-per-item model with no minimum consumption is more suitable for overseas teams. KK-DATA deducts fees according to the number of tests, and the balance can be recharged at any time (USDT anonymous), and you pay as much as you use.

FAQ

Question: Is the age field in the US TG male data accurate?

Answer: The age field is also inferred by the model and is not registered by the user’s real name. It can be used to screen rough groups such as people around 30 years old, and is not recommended for ID card-level accuracy.

Question: How to determine whether male data on Telegram in the United States is active?

Answer: Through the tg activity detection function of KK-DATA, you can specify the last 7 days/15 days/30 days and other windows, and the system will detect whether the number has online activities within the window.

Question: Is the private message response rate of American tg female data necessarily higher than that of men?

Answer: Not necessarily. The response rate has more to do with the industry, speaking skills, and sending time. Female users may be more sensitive to precise push notifications, but more resistant to excessive mass messaging. It is recommended to use it with active detection.

Question: Is it possible to screen only the US TG male data but not the women?

Answer: Yes. In the Telegram filtering task of KK-DATA, after checking “telegram gender data”, you can filter by the gender field when exporting, and only keep the male or female list.

Question: Are the prices for US TG male numbers and female numbers the same?

Answer: The platform charges based on test type (TG activation/active/gender, etc.). Gender testing is within the same testing package and does not differentiate between male or female. For specific unit prices, please see the real-time price on the console.

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Now you can start your screening task:

👉Log in to the console to start screening numbers 📩 Two-way contact customer service: https://t.me/kkdata_robot 📖 Usage documentation: https://docs.kkdata.cc/ 🌐 Official website homepage: https://kkdata.cc/