TG male number vs female number: Comparison of gender-stratified reach strategies and practical screening of numbers

#TG male number vs female number: Comparison of gender stratified reach strategy and screen number practice

When promoting Telegram overseas to acquire customers, have you ever encountered this kind of confusion: the total number of numbers in the database is obviously large, but the response rate after mass sending is very low? One of the key factors that is often overlooked is gender stratification. Users of different genders have significantly different responses to content, time periods, and speaking styles. If you can screen out tg male numbers and female numbers in advance and develop separate reach strategies, the conversion efficiency can often be increased several times. This article will start from the actual data dimension, compare the operation strategies of the two gender numbers, and provide practical operation steps combined with the gender screening function of KK-DATA.

What is a tg male number? What is a tg female number?

In user profiles on the Telegram platform, there is an optional “Gender” field. When the user registers or sets up later, he can choose “Male”, “Female” or “Not Set”. KK-DATA’s Telegram gender detection module can read this public field (supplemented by behavioral inference in some cases) to output the gender label corresponding to each number.

Source and credibility of Telegram gender data

Source: Mainly based on the gender field disclosed in the user account, as well as auxiliary signals such as nickname, avatar, and speech characteristics.
Credibility: Not 100% ID card-level accuracy, but the accuracy rate is high (usually more than 90%) in batch scenarios. A small number of users (such as marketing accounts, robots) may not fill in or fill in false gender, so it is recommended to use the gender field as a grouping reference rather than the only filtering condition.

Gender stratification ≠ accurate portrait

Gender detection results are useful for strategic grouping, but should not be considered 100% accurate demographic information. It is recommended to make comprehensive judgments based on fields such as activity level and age to avoid over-reliance on a single dimension.

How to view the gender field in KK-DATA

Log in to the KK-DATA Console, and when creating a Telegram screening task, check Gender in the “Detection Type” (you can also check activation, activity, age, etc.). After the task is completed, the exported CSV or TXT file will contain the gender column with the values male, female, or unknown. You can also filter the gender column to a list of all-male or all-female numbers.

tg The core difference in reach strategies between male numbers and female numbers

There are obvious differences between users of different genders in content preferences, response time and behavior patterns. The following comparison is based on the practical experience of a large number of overseas operations.

Comparison of content preference and speech adjustment

Dimensions	tg male number	tg female number
Typical points of interest	Tools/Software/Games/Cryptocurrency/Money-Making Projects	Lifestyle/Beauty/Mother and Baby/Social/Discounts/Emotions
Talk style	Direct, efficiency-oriented, highlighting functions and benefits	Gentle, emotionally resonant, highlighting experience and social value
Common conversion goals	Register tools, download apps, participate in airdrops	Join groups, subscribe to channels, and purchase lifestyle products
Tolerance for advertising	High (accustomed to hard advertising)	Lower (more soft advertising and word-of-mouth)

Best reach period and frequency difference

tg male number: The peak activity is concentrated at 20:00–23:00 in the evening, and in the afternoon on weekends. The frequency can be relatively dense (for example, one message every 3 days).
tg female number: The activity peaks are more dispersed, with higher peaks at 9:00–11:00 in the morning and 20:00–22:00 in the evening. It is recommended that the frequency be controlled within 2 posts per week to avoid being reported.

If different sending times and copywriting can be configured according to gender, it can not only increase the response rate, but also significantly reduce the risk of being reported and banned.

Why does overseas marketing require gender stratification?

Gender-neutral mass messaging is equivalent to “casting a net”, wasting budgets and wasting number resources. There are three core benefits of gender stratification:

Improve accuracy: Gender-specific users are pushed to categories they are more interested in, resulting in a higher natural response rate.
Reduce disgust and complaints: Male users will be blocked directly if they receive beauty advertisements; female users will be equally disgusted if they receive the promotion of “profiteering projects”. Layered reach can reduce ineffective harassment.
Increase ROI: Every inspection cost is spent wisely, and the conversion cost is significantly reduced.

Using the gender filtering function of KK-DATA, you can complete the three tests of activation, activity, and gender in one task, and group them directly by gender after exporting. For example, filtering “tg male numbers online in the past 7 days” is used for tool promotion, and “tg female numbers online in the past 7 days” is used for lifestyle promotion. This eliminates the need to filter out the number library and then manually mark the gender, making the process more efficient.

How to use KK-DATA to filter tg male numbers and female numbers?

The following practical steps demonstrate how to obtain a gender-stratified number list through KK-DATA.

Step 1: Log in to the console and create a screening task

Open KK-DATA Console, click “New Task” → select the platform as Telegram. Upload or paste the numbers to be detected in the number list area (supports CSV and TXT formats, up to 1 million at a time).

Step 2: Configure gender detection parameters (including activity level and age optional)

Check the following options in “Detection Type”:

Activation detection (required to determine whether the number is registered with Telegram)
Activity Detection (it is recommended to select “Online in the past 7 days” or “Online in the past 30 days”)
Gender Detection (When checked, the results will include the gender field)
Age detection (optional, KK-DATA’s gender detection also returns the age field, which can be used to filter “about 30 years old” people)

In the gender filtering condition, you can select “Only Males” or “Only Females”, and the system will only return numbers that meet the conditions (the corresponding testing fee will be deducted based on the actual number of tests). If not selected, all genders are retained.

Pay attention to distinguish between \'gender field\' and \'activity level\'

Even if a tg male number is screened out, if the other party is inactive for a long time (such as not online for 90 days), the conversion effect may not be as good as an active female number. It is recommended to sort in descending order of activity and then group by gender to ensure that active users are reached first.

Step 3: Export and download the classified numbers

After the task is completed, find the task in the task list and click “Export”. The system will provide CSV or TXT format, including fields: phone, tgid, open (activation status), active (active time), gender (gender), age (age), etc. You can sort or filter directly by the gender column in Excel to quickly separate tg male numbers and female numbers for different subsequent sending strategies.

Common misunderstandings and best practices in gender-stratified reach

Common misunderstandings

Only look at gender, ignore activity: A “male number” that was registered 1 year ago and has never been online again has almost no conversion value.
It is believed that female users must be easier to convert than males: The conversion rates of different categories vary greatly. For example, the conversion rate of male users in tool apps is much higher than that of female users.
Ignore content matching: Even if the gender is chosen correctly, it will still be ineffective if the words and products do not match.

Best Practices

Combined with active window: First use “online in the past 7 days” to filter out the active number library, and then group them by gender. KK-DATA supports customization of active time, which can be set to 1 day, 3 days, 7 days, 30 days, etc.
Export tgid for personalized push: The export result contains the tgid field. You can use the Telegram Bot API to implement 1-to-1 private message push instead of simple group sending.
Small batch testing before scaling up: First use 1,000-5,000 numbers to test different phrases and time periods, observe the response rate, select the optimal strategy, and then implement it in full.

TG male number vs female number: Comparison of data dimensions at a glance

The following table compares the filtering fields, recommended scenarios and budget suggestions of the two types of numbers from an actual operational perspective:

Dimensions	tg male number	tg female number
Cleanable fields	Activation, activity, gender, age	Same
Typical detection combination	Activated + Active in the past 7 days + Gender (male)	Activated + Active in the past 7 days + Gender (female)
Recommended application scenarios	Cryptocurrency airdrops, game promotion, developer tools, part-time projects	Lifestyle e-commerce, mother and baby, beauty, social apps, micro-business
Budget Allocation Suggestions	The unit price for male users can be slightly higher (competition is more intense), so pay attention to controlling the frequency	Female users are more sensitive to harassment, so it is recommended to run a small-budget jogging test
Conversion rate reference (industry experience)	Tool category 5%–15%, game category 10%–20%	Lifestyle category 8%–18%, social category 12%–25%

Note: The conversion rate is greatly affected by the speaking skills, products, and delivery quality. The above is a rough range. For details on the unit price of the test, please see Console Real-time Price or Official Website Billing Page.

FAQ

**Q: How accurate is the detection of tg male numbers? ** Answer: KK-DATA’s gender detection is based on users’ public information and behavioral characteristics. The accuracy is high (usually more than 90%), but it is not 100%. It is recommended to use it in combination with fields such as activity level and age. Do not make decisions based on gender alone.

**Q: Is it possible to screen only tg male numbers without detecting females? ** Answer: Yes. When creating a Telegram screening task, select “Only men” in the “Gender” option. The system will only return numbers with the gender “male” and will not detect female numbers, thereby saving costs.

**Q: How is the cost of screening tg male numbers calculated? ** Answer: The fee will be deducted from the balance based on the actual number of items tested. The price of each test varies depending on the platform and test type (activated/active/gender, etc.). The specific unit price is subject to Console Real-time Price. The estimated cost will be displayed on the page before submitting the task.

**Q: Do the filter results contain tgid? Can it be used for subsequent private messages? ** A: The export results contain the tgid fields by default (if you choose to export). You can use tgid to conduct 1-to-1 private messages or group invitations through Telegram Bot API to achieve precise reach.

**Q: I received a request from someone claiming to be a customer service agent to transfer money, how can I verify the authenticity? ** A: Please verify through the official website certified Telegram account @kkdata_robot or the two-way contact robot https://t.me/kkdata_robot, and do not transfer funds to any unofficial channels.

Now you have mastered the core methods of gender-stratified reach. Log in to KK-DATA Console now to create your first tg male number screening task, combining activity and gender fields to accurately target the desired user group. If you have any operational questions, you are welcome to contact the customer service robot https://t.me/kkdata_robot to get help quickly. You can also refer to Official Document for detailed guidance.