Telegram Screening Tutorial: How to build an accurate customer acquisition funnel with activation → active → gender

In acquiring customers overseas, Telegram is an important communication channel in Southeast Asia, the Middle East, Latin America and other places. However, if you directly use a batch of mobile phone numbers to add friends or send group messages, you often face the problems of a large number of invalid numbers, zombie accounts and low conversion rates. The core value of telegram number screening is to transform the number pool from “a bunch of numbers” into a “high-value real user list” through multi-dimensional detection. This article will dismantle a three-step funnel in detail: Activation detection → Activity screening → Gender/age targeting to help you build a low-cost, high-return TG customer acquisition pipeline.

What is Telegram filter funnel? Why is a three-step combination needed?

The screen number funnel refers to using detection conditions of different dimensions in sequence to gradually filter out the final list that meets marketing needs from a larger pool of original numbers. The limitations of single-dimensional testing (for example, only checking whether it is activated) are obvious: although a number is a registered user, it may not have logged in for six months, or the other party may be a female but the target user of your product is male. By combining “Active + Active + Gender (including age)”, you can:

• Phase 1: Eliminate unregistered invalid numbers to save subsequent testing costs.
• Phase 2: Screen out the real users who have recently logged in from the activated numbers to avoid sending them to “zombie accounts”.
• Stage 3: Accurately locate target groups based on gender, age and other fields to increase response rate and conversion rate.

This set of funnels is not completed in one go – in practice, you can submit multi-dimensional testing all at once (on platforms that support this feature, such as KK-DATA), or you can do it in steps. Either way, the key is to understand what each dimension means and choose a combination based on your own marketing goals.

Step one: Telegram activation detection - filtering out invalid numbers

Activation test (also called registration test) is to confirm whether a mobile phone number has been registered with Telegram. This is the basis for all screening work. If the number is not registered, subsequent activity and gender detection will not be possible, and the messages you send will directly fail or be undeliverable.

Applicable scenarios and expected results of activation detection

• Applicable scenarios: Any team that is ready to do TG group sending, private messaging, and adding friends. After obtaining a batch of original numbers (such as randomly generated from around the world, CSV import or third-party procurement), first use the activation test.
• Expected results: The activation rate depends on the number source. For example, randomly generated numbers have a very low activation rate (maybe less than 1%), while numbers from TG community crawling may have an activation rate of 60%-80%. The specific number is not fixed, and it is recommended to test with a small number of samples.
• Note: Telegram’s activation detection is based on public API or platform algorithms, and the accuracy is usually very high (>95%). However, a very small number of numbers may be misidentified due to official restrictions or special status. It is recommended to use the test results as a reference rather than the absolute truth.

How to submit the activation detection task on the screening platform

Taking KK-DATA as an example, the steps are very simple:

1. Prepare numbers: You can manually import a CSV or TXT file, or you can use the platform’s “Global Number Generation” feature to generate numbers for your target country/region (free).
2. Submit task: Select “Telegram filter number” in the console → check the Enable detection type. The system will automatically display the estimated fee (fees will be deducted on a per-item basis, see the real-time price on the console for details).
3. Waiting for results: The task usually takes a few minutes to dozens of minutes to complete (depending on the number of numbers). After completion, you can export it to CSV or TXT. The fields include number, whether it is activated (1/0), timestamp, etc.
4. Export and use: Only keep the numbers with “Activation=1” and enter the next step of filtering.

Step 2: Activity Screening - Find “True Online” Users

Activating the detection can only show that the number has been “registered”, but the user may have abandoned Telegram or not opened Telegram for several months. Activity filtering helps you identify truly active users by detecting the number’s most recent online time window (such as logging in within the past 7 days or 30 days).

How does the active window affect the customer acquisition effect?

Different active windows correspond to different reach quality and quantity:

Active window	Reach rate	Quantity scale	Recommended scenarios
Last 7 days	Very high (the other party has logged in recently, it is easier to see the message)	Less	Limited time activities, promotion notifications
Last 30 days	High	Medium	Long-term cultivation, product updates
Last 90 days	Medium	Large	Brand exposure, casting a wide net
No limit	Low (including a large number of zombie accounts)	Maximum	Not recommended for use alone

Generally recommended: Select 7 days for short-term marketing and 30 days for long-term operations. If you have sufficient budget, you can compare the conversion effects of the two sets of active numbers and then decide on subsequent strategies.

Common misunderstandings and optimization tips for active screening

• Myth 1: Active number = Will definitely reply. Active only means that the other party has recently logged in, and does not mean that they are interested in advertising. Active screening should therefore be used in conjunction with subsequent gender orientation.
• Myth 2: The longer the active window, the better. The larger the window, the more lost users it contains, which wastes costs. It is recommended to first find the optimal window through small batch testing.
• Optimization Tips: If the platform supports “specified active window” customization (for example, KK-DATA can enter a specific number of days), the reach time can be more accurately controlled. For example, if your event starts next Monday, you can filter users who have been “active in the past 31 days” because these people have a high probability of logging in during the event period.

Step 3: Gender/Age Targeting - Precisely target the target group

Many overseas products (especially games, social networking, and e-commerce) need to be targeted at users of a specific gender or age group. Telegram gender detection can infer the user’s gender, age and other fields based on public information to help you further filter.

Field meaning and usage restrictions of gender data

• Gender: The field is usually male, female, or unknown. The accuracy is about 70%–85%, based on inferences such as user information, nicknames, interactive behaviors, etc., and is not 100% accurate.
• Age: Not ID-level accuracy, but an estimate (such as “about 30 years old”). The age field output by KK-DATA can be used for coarse-grained population filtering, such as filtering out numbers whose “age field value is between 25-35”. Please do not expect to be accurate to your specific birthday or ID card age.
• Other fields: Some platforms will also output avatar, race and other information, but you need to confirm whether it complies with local data privacy regulations before use.

Practical operation of combination screening: activation + activity + gender completed at one time

In platforms that support multi-dimensional detection (such as KK-DATA), you do not need to submit the task three times. When creating a screening task, you only need to check the activation, activity and gender detection at the same time, and the system will complete the detection of all dimensions at once and deduct the fee uniformly. After exporting the results, each number will be accompanied by multiple tag fields that can be directly used for filtering.

Example scenario: A certain overseas game (targeting middle-aged men) needs to be promoted to Southeast Asia. Filter tasks can be set up like this:

• Number source: Indonesia + Thailand + Philippines (use global number generation function)
• Test type: activated + active (7 days) + gender (male)
• After exporting, manually filter “25–40 years old” by age field In this way, every user on the final list is a real man who has logged in recently, which greatly increases the trial rate and payment conversion rate.

Complete checklist for building a Telegram filter funnel

The following is a directly reusable operation list that can help you complete a complete screening process efficiently:

• Prepare Number Source: Use the global number generation feature (free) or import your own CSV file. Make sure the number is in the correct format (international format, such as +62812…).
• Open a platform account and recharge: Register a KK-DATA account and deposit at least 50 USDT (TRC20) to get started. No subscription plan required.
• Submit the first screening (activation test): Only check the “activation” type. After the task is completed, the number activated as 1 is exported.
• **Submit the second screening (active + gender + age) **: Import the results of the previous step, check “Active (recommended 7 days or 30 days)”, “Gender”, and “Age”. Check the estimated cost and submit after confirmation.
• Export with deduplication: Export the final CSV file. If multiple task numbers overlap, you can use the platform’s “Data Deduplication Warehouse” to automatically remove duplicates to avoid repeated deductions.
• Import Marketing Tool: Import your final list into Telegram blasts, private messaging bots or CRM systems. Pay attention to abide by the platform’s anti-spam rules and avoid frequent operations that may lead to account suspension.

FAQ

**Q: Is the activation test of Telegram account accurate? ** Answer: The activation detection accuracy is relatively high, usually over 95%. A very small number of numbers may be missed due to official restrictions or special status. It is recommended to use activation detection as the first filter, and then use activity results to assist verification.

**Q: Can the age data of gender detection accurately locate 20-30 years old? ** Answer: The age field is inferred based on public information and has non-ID card level accuracy. It can be used for wide-granularity targeting such as screening “people around 30 years old”, but it is not suitable for scenarios that require precise age verification. It is recommended to combine other dimensions (such as interests and hobbies) to further improve accuracy.

**Q: Can one screening task detect subscription, activity, and gender at the same time? ** Answer: Yes. In platforms such as KK-DATA, you can select multiple detection types (activated, active, tgid, gender, etc.) when submitting a task. The system will complete the detection of all dimensions at once and deduct fees uniformly. For specific combinations and billing details, please see the real-time price on the console.

**Q: How to avoid repeated deductions for the same batch of numbers after screening? ** Answer: Use the platform’s built-in “data deduplication warehouse” function: before uploading new numbers, it will automatically compare historical checked numbers and eliminate duplicate records. This eliminates the need for manual deduplication and avoids wasting balances.

**Q: How to export the screened numbers for subsequent marketing? ** Answer: It supports exporting to CSV and TXT formats. The fields include number, subscription status, active time, gender, age, tgid, etc. Can be directly imported into Telegram group messaging tools, CRM and other systems.

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The above three-step funnel can help you extract high-value active target users from a bunch of original numbers. If you want to try to build your own screening pipeline immediately, you can visit the following entrance:

👉Log in to the console to start screening numbers Two-way contact customer service: t.me/kkdata_robot Learn more: Official website https://kkdata.cc/ | Documentation https://docs.kkdata.cc/