tg filtering pre-delivery checklist: full process guide for number source, format, activity and compliance

Whether you are a cross-border e-commerce team, an independent website operator, or a studio focusing on Telegram community promotion, before starting a TG marketing campaign, tg filter (Telegram filter) is the first level that determines success or failure. Directly importing the original number for private messaging or group chatting will result in the message being lost, or in the worst case, the account being blocked and a large amount of budget wasted. From number source verification, format cleaning, activity classification, gender and age targeting to compliance and avoidance of pitfalls, this list will help you run through the entire pipeline at once and truly improve customer acquisition ROI.

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Why must tg filtering be done before placing it?

In the TG ecosystem, there are a large number of abandoned numbers, inactive users or non-target groups. Use the unfiltered list directly:

• Account Banning Risk: Sending messages to invalid numbers in batches will be marked as abnormal behavior by TG, resulting in sending account restrictions or bans.
• Low conversion rate: Even if the number is activated, if the user is inactive for a long time (more than 30 days), the open rate and click rate will be extremely low.
• Budget Waste: The cost of triggering each message (sending frequency, time and manpower) is fixed, and waste on invalid numbers directly lowers ROI.

With a systematic tg filter checklist, you can go from raw data to high-quality target lists in a matter of hours. Let’s break it down one by one.

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Step 1: Check whether the source of the number is reliable

The effect of tg filtering is highly dependent on the quality of the number source. The activity rates and compliance risks of different sources vary significantly.

Self-created seed user vs third-party list

Source type	Advantages	Disadvantages	Applicable scenarios
Self-created seed users (registered through official website, collected through events)	Users actively authorize, highly active, and have the lowest compliance risk	Slow acquisition speed, limited quantity	Precision marketing, recall of old customers
Third-party purchasing/crawling list	Large quantity, fast coverage	Low number accuracy rate, including a large number of canceled or non-target people, and may violate platform policies	Large-scale testing, group pulling scenarios (need to cooperate with high activity detection)
Free random generation	The cost is zero and the data can be quickly filled	There are almost no actual users, and direct sending is invalid	It is only used to test the performance of the screening tool and cannot be used for marketing

Core recommendations: Prioritize the use of self-created seed users, and use third-party lists for tg filtering when necessary. Before purchasing a list, first test the number activation rate in small batches (generally, sources that are lower than 30% will give up directly).

Usage boundaries of global number generation tools

KK-DATA provides a free global number generation module (supports 240+ country/region number segment generation, custom CSV import). The generated number must pass the TG Screening Number test to determine whether it is a real user.

• Generate purely random numbers → The rate of detection through TG activation is usually below 0.1%, and it is not recommended to use it directly;
• Best Practice: Generate numbers from a specific country and a specific number range, and then use Telegram filter to detect them, and only keep the numbers that are open and active.

It is free to generate, and the screen number will be deducted on a per-item basis. See the real-time price on the console for details.

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Step 2: Number format cleaning and preprocessing

telegram number filter The engine requires the standard E.164 format (international area code + number, for example: +8613812345678). Common formatting issues include:

• Missing international dialing code (e.g. 13812345678)
• Contains spaces, brackets, and dashes (such as +86 (138) 1234-5678)
• Duplicate numbers (the same number appears multiple times)
• Unusual length (less than 7 digits or more than 15 digits)

After the cleaning is completed, it is recommended to submit a very small amount of tasks (such as 100 items) for testing first, and then submit in large batches after confirming that the format is correct.

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Step 3: Filter by activity level (tg active detection)

There are two core indicators for TG screening: Open and Active. The activation detection only determines whether the number has a TG account, and the activity detection further determines whether the user is online within the specified time window.

The difference between open detection vs active detection

Detection Type	Meaning	Data Value
Registration (Registration)	Whether the number is registered with Telegram	Basic filtering, remove non-existing numbers
Active (Online)	The user’s online status in the last 1 day/7 days/30 days	Decide whether it is worth reaching

Numbers that are only activated but have been inactive for a long time have a very low reactivation rate. It is recommended to set the active window in TG Screen Number to the last 7 days or 30 days as the core conversion goal.

How to use activity data to develop reach strategies

• High activity (online in the last 1 day): Prioritize sending private messages with high open rate, suitable for promoting limited time offers.
• Medium active (last 7 days): Can join groups or channels, suitable for long-term cultivation.
• Low activity (last 30 days): Used to attract groups or as supplementary traffic, the frequency of sending is reduced.
• Not activated/inactive for more than 30 days: Exclude directly to avoid waste.

In the KK-DATA console, you can select “Activity Period” when creating a filtering task, and the output results will include an active status column to facilitate subsequent classification export.

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Step 4: Interpretation and use of gender and age fields

Many tg filtering scenarios require targeting males/females, or filtering for the “around 30” crowd. You need to understand the data caliber:

• Gender Identification: Based on TG account public information and behavioral model inference, it is divided into male/female/unknown.
• Age field: It is also inferred data, not accurate at the ID card level. Age is usually presented as a range (such as 18-24, 25-34, 35-44, etc.). “tg 30-year-old data” means that the age field can filter out 25-34 or similar intervals, which can be used to interpret “people around 30 years old” and should not be misunderstood as precise birthdays.

Application Suggestions:

• Combined gender + age cross-filtering to reduce invalid interruptions.
• For strong targeted needs (such as pushing game ads for young men), first use a small batch to test whether the age distribution is consistent with the target.

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Step 5: Compliance and Risk Checklist

The following points must be confirmed before placement:

• ☑ Privacy Policy Confirmation: Make sure the way you collect numbers complies with local laws (such as GDPR, China Cybersecurity Law, etc.).
• ☑ Platform Rules Compliance: Telegram explicitly prohibits bulk private messages without consent. Be sure to obtain user permission first through official channels, bots or groups.
• ☑ Account maintenance: Do not directly send high-frequency messages to newly registered TG accounts. You must first simulate normal behavior (adding friends, sending messages, joining groups) for at least 3-7 days.
• ☑ Sending Frequency Control: Even if the number is filtered, it is recommended that the number of messages sent per day should not exceed 50-100 messages/account to avoid triggering risk control.
• ☑ Use independent IP and proxy: Avoid multiple accounts under the same IP being associated.

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Step 6: Use tools to connect the entire pipeline (generate → filter → remove duplicates → export)

Manual cleaning, screening, deduplication, and export require the cooperation of multiple tools, which is inefficient. Taking KK-DATA as an example, the entire process can be completed on the console:

1. Global Number Generation (Free) → Select the target country and number range to generate an original number list.
2. Format Preprocessing (automatic) → The system will automatically verify numbers with illegal formats, but it is recommended to clean them yourself before importing to achieve a higher success rate.
3. Create number screening task → Select the detection type (activated/active/gender, etc.), specify the active window (such as the last 7 days), upload the number file or paste the list.
4. Data deduplication → Automatically detect whether it is a duplicate of previous tasks before submission to avoid repeated deductions.
5. Submit task → Display the estimated cost (fee will be deducted by item, different detection types have different prices, see the real-time price on the console for details), and execute after confirmation.
6. Task Notification → Notify via Telegram after completion, supports multi-format export (CSV/TXT), including tgid, active status, gender, age and other fields.

Highlights:

• Supports anonymous recharge of USDT (TRC20), with a minimum of about 50 USDT, pay as you go, no need to subscribe to a package.
• A single task can handle up to about 1 million numbers, meeting the needs of large projects.

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Summary of common mistakes and best practices

Common pitfalls	Improvement suggestions
Ignore the missing area code, causing all detections to fail	Add the international area code uniformly, using the E.164 format
Import more than 1 million items at one time without splitting	Divide into batches according to activity (such as detecting activation first, and then filter the activation list for activity) to avoid task backlog
Failure to remove duplicates results in repeated deductions	Use the platform’s deduplication warehouse, or manually remove duplicates before submission
Directly use purely randomly generated numbers	Only use random generation to test tool capabilities, actual marketing must go through screening
Ignore the accuracy limitations of the gender and age fields	Only used as a trend reference, combined with other data (such as interest tags) for comprehensive judgment

Best Practice Process:

1. Use a small sample of 100-500 to test number quality and screen size parameters.
2. After confirming the cost, submit 5,000-10,000 tasks/tasks in batches to avoid having to do it all over again after a single failure.
3. After exporting, store it in folders according to dimensions such as activity level and gender to facilitate subsequent targeted delivery.

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FAQ

**Q: How many numbers can tg filter detect at most at one time? ** Answer: A maximum of about 1 million numbers can be submitted in a single task, but it is recommended to divide it into batches according to activity requirements to avoid excessive data affecting subsequent analysis.

**Q: Can Telegram filtering detect the user’s true age? ** Answer: No. The platform only infers the age field based on account public information and behavioral models, which can be used for trend analysis (such as “people around 30 years old”), but not ID-level precise age.

**Q: After the TG screen number is completed, how to export the list with tgid? ** Answer: Select “Export” in the console task results. It supports CSV/TXT format and includes fields such as tgid, active status, gender, etc. The specific fields are subject to the export file.

**Q: What kind of billing model is used for telegram number filtering? ** Answer: Fees are charged per item, and there is no subscription package. Different detection types (activated/active/gender) have different unit prices. The console will display the estimated cost before submitting the task. The actual deduction will be based on the balance after completion.

**Q: If the balance is insufficient after screening, how will the submitted tasks be handled? ** Answer: The task will stay in the “waiting” state, and you need to recharge (supports USDT TRC20) to reach a sufficient balance before the task can continue to be executed.

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Want to get started right away with your first tg filter checklist?
👉Log in to the console to start screening numbers; If you have any questions, you can communicate in real time through two-way contact customer service https://t.me/kkdata_robot.
For more operating instructions, see the document https://docs.kkdata.cc/.