Complete Guide to TG Number Screening in Russian-speaking Regions: Precautions and Best Practices for Telegram Marketing in Russia and the CIS

Russia, Ukraine, Kazakhstan, Belarus—the CIS (Commonwealth of Independent States) countries are among the most densely populated regions for Telegram users globally. For overseas marketing teams and TG community operators, this market offers high traffic value, but the “pitfalls” in the number screening stage are far more numerous than in Europe, America, and Southeast Asia.

Many teams apply generic screening strategies directly to the Russian-speaking region, only to waste their balance on invalid numbers or end up with distorted activity data. This article focuses on the practical points of TG number screening in the Russian-speaking region, covering number formats, definition of activity windows, gender identification errors, and compliance red lines, helping you get every step right.

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Why Does TG Number Screening in the Russian-Speaking Region Require Special Attention?

The Russian-speaking region differs significantly from Europe, America, and Southeast Asia in terms of Telegram user scale, number rules, and user behavior characteristics. Ignoring these differences will greatly reduce the usability of the screening results.

Differences in Number Sources and Formats

The number formats used in CIS countries are not uniform:

• Russia, Kazakhstan: Country code +7, number length 10 digits (excluding the international prefix). However, since 2023, Kazakhstan has gradually activated separate area codes within the +7 number range. When +7 is shared with Russia, attention must be paid to location identification.
• Ukraine: Country code +380, number length 10 digits. Currently, some originally +7 transitional area codes can still interact.
• Belarus, Uzbekistan: Each has its own independent country codes, such as +375 and +998.

A common problem is: number portability. When users in the Russian-speaking region switch operators, the country code of the number remains unchanged, but the location information changes. If the screening tool only judges the country based on the number prefix, it may misidentify it. It is recommended to confirm that the country code in the CSV column is correct before importing numbers, or use a platform that supports automatic number location identification.

Activity Window and Local Schedules

Moscow time (UTC+3) is 5 hours behind China Beijing time (UTC+8). The peak activity hours for users in the Russian-speaking region are usually Moscow time 10:00–13:00 and 18:00–22:00, corresponding to Beijing time 15:00–18:00 and 23:00–3:00 the next day.

If you use the default 7-day activity window, it may coincide with local long holidays (such as the January New Year holidays and the May Victory Day holidays), leading to an underestimation of activity. It is recommended to prioritize using a 15-day window for tasks in the Russian-speaking region to cover a more complete behavioral cycle.

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Core Precautions for Telegram Number Screening in the Russian-Speaking Region

Registration Detection ≠ Active Detection

Telegram’s “registration detection” only checks whether a number has ever been registered for a Telegram account—it does not guarantee that the account is currently in use.

In the Russian-speaking region, a large number of second-hand numbers (from recycled number ranges), long-disconnected numbers, or accounts that have been deactivated will still show as “registered”. Truly effective marketing targets should meet: registered + active (recent online behavior). Screening based solely on registration detection may import a large number of zombie numbers into subsequent outreach processes, wasting message quotas.

Recommended Action: When submitting a task in the KK-DATA console, check “TG Active” rather than only “TG Registered”. The active detection will further confirm whether the account has had at least one activity in the past period, filtering out purely registered numbers.

Localized Adjustment of the Activity Window

For users in the Russian-speaking region, it is recommended to set a 15-day activity window for three reasons:

1. Holiday Distribution: CIS countries have many concentrated holidays (January New Year long holiday, March Women’s Day, May Labor Day/Victory Day holidays). A 7-day window is prone to hitting holiday gaps.
2. Usage Rhythm: Some users tend to use Telegram intensively on weekends or at night. A 7-day window may not capture users who are genuinely active but with lower frequency.
3. Time Zone Impact: As mentioned, the 5-hour time difference can cause domestic operators to misjudge the user’s “last online time”. Extending the window can reduce errors.

For the first task, you can set a 15-day window. After exporting the results, observe the activity distribution: if the proportion of users active in the last 3 days is high, you can switch to a 7-day window in subsequent tasks to save balance; if the proportion active in the last 3 days is low but there is significant activity in the 7–15 day range, it indicates that local users use the platform less frequently, so you should continue to keep the 15-day window.

Gender Identification and Avatar Cultural Differences

KK-DATA’s gender identification is based on AI analysis of Telegram avatars. However, in the Russian-speaking region, the proportion of users using non-portrait avatars (landscapes, pets, abstract patterns, cars, etc.) is significantly higher than in Europe and America. According to public data, about 30%–40% of Russian Telegram users have non-portrait avatars, which directly reduces the accuracy of gender identification.

Countermeasures:

• After exporting results, focus on data labeled as “Known Male/Female”; for the “Unknown” category, consider manual verification using tgid or number.
• Only enable gender filtering for users with clear portrait avatars; if the marketing plan does not have strict gender requirements, you can cancel gender detection to save balance.
• After exporting tgid, you can use external social graph tools to assist in determining gender and interests.

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Data Preparation Before Number Screening in the Russian-Speaking Region

Obtaining Target Numbers

Method	Applicable Scenario	Precautions
Global Number Generation	No self-prepared data, need batch testing	Select countries like “Russia” or “Ukraine”, and customize the quantity
Custom Number Range CSV Import	Already have target number ranges, e.g., collected from operators	Ensure correct CSV format (column names, number length, no blank lines)
Own Customer List	Existing CRM data, need to verify validity	Clean the format first, remove duplicates and illegal characters

Using a Deduplication Warehouse to Avoid Waste

KK-DATA provides cross-task number deduplication functionality. Before submitting a task for the Russian-speaking region, it is recommended to import numbers that have already been screened in historical tasks into the deduplication warehouse. The system will automatically skip them without charging duplicate fees.

Operation Path: Console → Data Warehouse → Upload Screened Numbers → Check “Enable Deduplication” in the new task → System automatically compares and skips.

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Batch and Balance Management Strategies for Number Screening

The number of numbers in the Russian-speaking region is large, and a single task may involve tens of thousands to millions of records. To avoid excessive one-time investment, it is recommended to adopt a batch submission strategy:

• First Batch: 1000–5000 records, set 15-day activity window + active detection + gender identification. Observe the result quality and unit price.
• Second Batch: Optimize parameters based on first batch feedback (e.g., shorten the window, cancel gender identification), and expand to tens of thousands of records.
• Bulk Task: After confirming the best parameters, submit the full task.

Balance Management Tips:

• Before task submission, the console will display the estimated fee. Compare it with your balance before deciding to submit.
• Enable “Task Completion Notification” (Telegram notification) to be informed immediately when the task ends, avoiding time-consuming polling.
• Record your balance and task consumption each time you recharge to understand the cost per person/unit.

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Common Mistakes and Pitfall Avoidance Guide

Mistake 1: Ignoring Deduplication, Repeated Detection Wasting Balance

Submitting the same batch of numbers multiple times without enabling deduplication results in 30% of the numbers being detected twice—doubling the balance consumption.

Solution: Before each task, confirm that the deduplication warehouse has been updated, or manually import the exported file from the previous task.

Mistake 2: Setting the Activity Window Too Short

Using the default 7-day window for the Russian-speaking region coincides with local holidays, causing a large number of genuinely active users to be marked as “inactive”, reducing later outreach open rates by more than 50%.

Solution: At least run a 15-day window once, observe the data distribution, and then adjust.

Mistake 3: Ignoring Gender Identification Errors

Russian users have a high proportion of pet/landscape avatars, and AI identifies them as “Unknown”. As a result, the amount of data after gender filtering is much lower than expected, and marketing materials may not match the audience.

Solution: Do not impose gender restrictions on data labeled “Unknown”, or use tgid export for manual annotation.

Mistake 4: Not Paying Attention to Data Compliance

The Russian Federal Law on Personal Data (Federal Law No. 152-FZ) requires that the processing of personal data of Russian citizens (including numbers and account information) must be localized on servers within the Russian Federation. If the screened numbers need to be stored long-term or used for secondary marketing, it is recommended to consult legal counsel to confirm the compliance path.

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Closed-Loop Recommendations from Screening to Outreach

Precise Outreach After Exporting tgid

After screening, prioritize exporting tgid rather than pure numbers. Reason: Telegram users may change their SIM card but keep the same account; tgid is the unique and fixed user identifier. Using tgid for private messaging can avoid invalid outreach caused by number changes.

Export Path: Console → Task Details → Select “tgid” Column → Export to CSV/TXT.

Time-Segmented and Audience-Segmented Sending Strategy

Use activity data to set sending priorities:

• Active in the last 3 days: High priority, recommended to send during Moscow time 10:00–12:00.
• Active in the last 4–15 days: Medium priority, can be scheduled for a secondary time slot (e.g., Moscow time 18:00–20:00).
• Inactive: Low priority or discard, to avoid disturbance.

At the same time, combine gender labels for audience segmentation: push tech/tool content to male users, and beauty/lifestyle content to female users. For users of “Unknown” gender, use generic copy.

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How to Efficiently Execute TG Number Screening in the Russian-Speaking Region with KK-DATA

Combining the above precautions, here is the complete operation process:

1. Log in to the Console → https://app.kkdata.cc/
2. Select Platform: Telegram
3. Set Number Source:
   • Use “Global Number Generation” to select countries like Russia / Ukraine / Kazakhstan, and set the generation quantity
   • Or click “Import CSV” to upload your own number file (refer to the documentation for format: https://docs.kkdata.cc/)
4. Check Detection Types: At least check “TG Registered + TG Active”; if you need activity data, add “TG Active” and set the window to 15 days; if you need gender labels, check “Gender Identification”
5. Estimate Fee: View the estimated deduction before submission, confirm sufficient balance
6. Submit Task: Click “Submit” and wait for processing (you will be notified via Telegram when the task completes)
7. Export Results: Go to the task details, select the columns you need to export (number, tgid, activity level, gender), and click export
8. Deduplicate: Import the current results into the data warehouse, so the next task will automatically deduplicate

Typical Scenario: A CIS e-commerce operator needs a batch of high-activity male users from Russia. They can first generate 50,000 Russian number range numbers, submit a TG number screening task (registered + active + 15-day activity + gender identification), export about 12,000 “active + male” data, and then use tgid with a mass messaging tool to send over 3 days.

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Summary: Get TG Number Screening in the Russian-Speaking Region Right to Make Customer Acquisition Smoother

The Russian-speaking region is not just “another market”; it is a special area that requires separate parameter configuration and understanding of user behavior characteristics. The core points of TG number screening in the Russian-speaking region can be summarized in three aspects: number source verification, localization of the activity window, and management of gender identification errors. Get each step right, and your customer acquisition costs will significantly decrease, while outreach efficiency will notably improve.

If you are preparing for Telegram marketing in the Russian-speaking region, feel free to log in to the KK-DATA Console to give it a try, or check the Documentation for detailed configuration instructions. If you have any questions about number screening in CIS countries, you can also contact customer service directly at @kkdata_robot, and we will provide one-on-one configuration advice.

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Frequently Asked Questions

Q: Can the global number generation function be used for numbers in the Russian-speaking region?
A: Yes. In the KK-DATA console, select “Global Number Generation”, filter the country/region to “Russia” or “Ukraine”, etc., and numbers from the corresponding ranges will be randomly generated; custom number range CSV import is also supported.

Q: For Russian users, what is the most suitable activity window setting?
A: It is recommended to first try 15 days. Social media usage habits in the Russian-speaking region differ from East Asia; a 7-day window may miss users active on weekends or during seasonal changes. After completing the first task, adjust based on the activity distribution in the exported data.

Q: How can screened numbers avoid being flagged or reported?
A: First, ensure the numbers are “active” rather than just “registered”; second, export tgid instead of pure numbers for private messaging; control the frequency and content during sending, avoiding pure marketing language. The platform itself does not provide sending functionality; you need to use compliant messaging tools.

Q: How accurate is gender identification for users in the Russian-speaking region?
A: Gender identification is based on AI analysis of avatars. The proportion of non-portrait avatars (e.g., landscapes, pets, icons) in the Russian-speaking region is high, so accuracy will be slightly lower than in Europe and America. It is recommended to perform manual verification on the “Unknown” label in the screening results, or only enable gender labels for users with clear avatars.

Q: Do numbers from CIS countries (e.g., Kazakhstan, Belarus) need separate settings?
A: Yes. Different CIS countries have different number ranges (+7 may correspond to Kazakhstan or Russia). It is recommended to use the “Global Number Generation” module to filter by country, or mark the country code when importing CSV. The platform will automatically identify the number’s location during screening, but to save balance, it is recommended to submit tasks by country in batches.