tg filtering standard workflow: a complete guide from number generation to active screening (2025 edition)

The first step for overseas customer acquisition teams to market on Telegram is often not to send messages, but to first find out which numbers are real users, active users, and even their gender and age**. This process is tg filtering (Telegram number filtering). This article will take you through the complete TG filtering workflow from number pool construction to active user export, avoiding invalid detection and allowing every penny to be spent on potential customers.

---

What is tg filtering? Why do I need a TG screening number to acquire customers overseas?

tg filtering refers to using automated means to batch detect whether the number is registered with Telegram, whether it has been active recently, and optional gender/age tags. Compared with manual search and verification one by one, automatic TG filtering can process tens of thousands to millions of numbers at the same time, greatly improving efficiency.

The core pain point of acquiring customers overseas is message reach rate: sending messages to unregistered or long-term inactive numbers not only wastes costs, but also causes the account to be flagged. TG screening allows you to eliminate invalid users before sending and retain only high-quality leads.

The difference between tg filtering and traditional manual verification

Dimensions	Manual verification	Automatic tg filtering
Time consuming	Search one by one, dozens of items per hour	Batch processing, up to hundreds of thousands of items per hour
Accuracy	Relying on manual judgment, prone to fatigue and errors	System testing, unified standards
Detectable dimensions	Can only determine whether it is activated	Activated, active, gender, age, tgid, etc.
Cost	High hidden labor costs	Billing by item, no subscription package, pay as you use

Typical scenarios of tg filtering in customer acquisition

• Pre-processing before adding friends in batches: Filter out numbers that have opened TG to avoid wasting friend requests due to failed additions.
• Target group screening before community operation: Screen male or female users who are active within 7 days, and conduct targeted invitations for specific age groups (such as about 30 years old).
• Data cleaning by the operation team: remove duplicates from millions of numbers and check their status to ensure that subsequent marketing data is clean.

---

Preparation: How to build a number pool to be screened?

The first step in tg filtering is to have a list of numbers to be detected. You can build a number pool in the following ways:

1. Global Number Generation (Free) In the “Number Generation” module of the KK-DATA console, select the target country/region (240+ countries), specify the number segment or generate it randomly. Suitable for starting from scratch or exploring new markets.

2. Number segment generation If you know the target number segment (such as a certain operator’s number segment), you can enter the prefix and the system will automatically generate all consecutive numbers under the number segment.

3. Custom CSV Import Directly upload existing customer leads and historical number lists (CSV/TXT format). A single task supports up to about 1 million numbers.

Recommendation process: Prioritize the use of existing customer leads, and then supplement the target Guoxin number through number generation. The generated numbers are free, and fees are only deducted on a per-item basis during the number screening process.

---

How to perform tg activation test - verify whether the number is registered with Telegram?

Activation detection (registration detection) is the most basic step in tg filtering, which determines whether the number has been registered with Telegram. Subsequent detection of unactivated numbers is meaningless, so it is recommended to be implemented first.

The operation process of submitting tg activation detection task

1. Log in to KK-DATA Console.
2. Click “New Screening Task” and select the platform as “Telegram”.
3. Check “Enable Detection” in the detection type (some versions are “Register Detection”).
4. Upload the number file (supports CSV or TXT, one number per line).
5. Confirm the estimated cost of the task (see the real-time price on the console for details) and submit the task.
6. Wait for the task to complete (the speed depends on the number of numbers, usually a few minutes to half an hour).
7. Download the result file (CSV or TXT) on the task details page.

Understanding the test results: How to distinguish between activated and unactivated

The result file usually contains fields: phone, tg_open (1=activated, 0=not activated). It is recommended to extract all tg_open=1 numbers for subsequent activity or gender screening to avoid continued deductions for unsubscribed users.

---

In-depth filtering: How to select active users and specific gender/age groups?

On the basis of “activation”, the second level of screening is activity detection and gender/age identification. These two items can be used in combination, but pay attention to the order: do the activity first and then the gender, which can reduce invalid detection and save costs.

Window selection and practical tips for active detection

The active window refers to the number of days backward from the current time. Common options are: 24 hours, 7 days, 30 days, 90 days, etc.

• 24 hours: Suitable for real-time promotions and emergency notification scenarios, with high user instant response rate.
• 7 days: taking into account activity and quantity, it is a common window for community operations.
• 30 days: Get a larger candidate pool, suitable for long-term maintenance or brand exposure.
• 90 days: Cover more users, but may include some dormant users.

Recommendation: Use a 30-day window to obtain enough active users for the initial screening, and then narrow the window based on marketing goals. For example: first screen for “activated + active for 30 days”, and then screen for “active for 7 days + male gender” from the results.

Interpretation and usage boundaries of gender/age data

The “Gender Detection” result filtered by tg will return the gender (male/female) and age fields. Age is usually a range or estimate that can help target age groups such as 20-40 years old. But it needs to be clear:

• This part of the data is inferred based on user public information and is not official registration data.
• It cannot be used as the only basis for precise targeting, but it can be used for crowd stratification and A/B testing.
• For example: Screen users who are “male + about 30 years old” to promote certain types of financial products, and then verify the effect through the message response rate.

---

Data export: How to use tg filtering results for the next step of marketing?

The ultimate goal of tg filtering is to export high-quality numbers and connect them to your marketing tools. KK-DATA supports multiple export formats (CSV, TXT). The exported fields include: mobile phone number, tgid, activation status, active time, gender, age, etc.

导出后典型用途：

• Import the Telegram batch adding friend tool (software or script), and initiate a request by tgid or mobile phone number.
• Import mass messaging tools to send marketing messages to active users.
• Import into the CRM system, mark user tags, and perform hierarchical operations.

At the same time, the platform has a built-in data deduplication warehouse: when you submit a task multiple times, the system will automatically mark the detected number to avoid repeated deductions. It is recommended to promptly clean or mark used data after each export.

---

Best practices and common misunderstandings of tg filtering

Misunderstanding	Correct approach
Perform active detection directly without performing activation detection	Test activation first, and then perform active detection based on the activation results to avoid wasting costs.
Submit too many numbers (>1 million) at one time	Submit in batches, and control it within 1 million at a time to avoid task timeout or failure.
Ignore the deduplication function	Use the deduplication warehouse to avoid multiple charges for the same number.
Gender recognition is believed to be 100% accurate	Use gender/age as a reference dimension and combine iterative screening strategies with message feedback.

Optimization Suggestion: Before formal full-scale screening, first conduct a small-scale test with 100-500 numbers to confirm that the detection type and fields meet the requirements, and then execute the full scale.

---

FAQ

**Q: How many numbers can tg filter process at most at one time? ** Answer: A maximum of about 1 million numbers can be submitted for a single number screening task (the specific limit is subject to the upper limit). Submit in batches more than recommended.

**Q: What does the “active window” of tg active detection mean? ** Answer: The active window refers to the number of days backward from the current time (such as 7 days, 30 days). Selecting 7 days means only filtering out users who have logged in to Telegram within the last 7 days. Those who have not logged in beyond the period are considered inactive.

**Q: Can tg filter filter gender? How high is the accuracy? ** Answer: The KK-DATA platform supports Telegram gender detection, and the results include “male”, “female” and age fields. This data is based on algorithmic inference and is not 100% accurate, but it can be used as a reference for crowd orientation. Please refer to the actual task results for the specific accuracy rate.

**Q: What fields can be exported after tg filtering is completed? ** Answer: Supports exporting mobile phone number (some countries/regions have masks), tgid, activation status, active time, gender, age, etc. The specific fields are subject to the console task result export option.

**Q: How to calculate the tg filtering fee? Can I try it for free? ** Answer: Billing is per item, and the unit price is different for different detection types (activated/active/gender). For specific prices, please log in to the console to view real-time prices. Free trial is not supported, but it can be used directly after recharging, and no fees will be deducted if it is not consumed.

---

Start your tg filtering workflow now and acquire high-quality Telegram users in batches.
👉 Log in to the console to start screening numbers ｜ Two-way contact customer service: https://t.me/kkdata_robot Learn more: Official website https://kkdata.cc/ | Documentation https://docs.kkdata.cc/