Screen Numbers Before Telegram Promotion: A Complete Telegram Marketing Data Quality Checklist

Is your Telegram marketing plagued by low reach rates, high complaint rates, or even account bans? The problem likely lies in data quality. Many cross-border teams habitually purchase or batch-collect numbers and start sending DMs and mass notifications—only to find that out of every 10 messages sent, 5 go to invalid numbers, 2 are received by deactivated users, and among the remaining 3, some users have been inactive for a long time. This lack of pre-promotion number screening directly turns campaigns into money-burning exercises.

This article provides an actionable data quality checklist covering the complete process from number source management, deduplication, activity detection, to gender identification—helping you clean your number pool into a high-quality contact list before launching any Telegram promotion.

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Why Must You Screen Numbers Before Telegram Promotion?

Directly using an uncleaned number pool usually leads to three major problems:

• High bounce rates and low delivery rates: A large number of invalid, disconnected, or non-Telegram user numbers result in undelivered messages. Even successful deliveries often land on silent users who “read but never reply.”
• Increased account ban risk: Telegram has strict limits on sending high-frequency messages to invalid numbers. Excessively low delivery rates or a large number of failed sends in a short period can trigger account protection measures or even permanent bans.
• Double waste of budget and time: Every message’s sending costs (including proxy, account maintenance, and labor) are diluted by invalid numbers. Worse, rising complaint rates will damage account reputation.

Core conclusion: Data quality directly determines campaign success. Screening numbers before promotion is not optional—it’s a mandatory step.

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Number Pool Quality Checklist: Four Preparations Before Starting Screening

Before you begin screening, confirm that the following four basic conditions are met. These steps will help you avoid blind operations and reduce unnecessary data cleaning costs.

Number Source Compliance

• Numbers must be obtained through legal channels: user registration data collected by yourself, numbers publicly crawlable without violating local regulations, or authorized numbers purchased from legitimate data platforms.
• Avoid buying number segments of unknown origin (e.g., dark web, one-time bulk lists). These numbers are not only of extremely poor quality but also carry legal risks.

Number Format and Deduplication

• All numbers must be converted to international format: +Country Code + Area Code + Number (e.g., +8613800138000).
• Before importing large files, perform a basic deduplication in Excel or a script. Re-screening the same number in multiple tasks only consumes your balance without improving data quality.
• If you have historical screening records, use the platform’s data deduplication repository feature to automatically exclude already screened numbers and avoid repeated charges.

Define Screening Objectives

Different scenarios have different requirements for number quality. You need to answer three questions:

1. Just need active registration (registration check): For example, cold-start group notifications—just need the number to be registered on Telegram.
2. Need active users: For example, DM promotions, community invitations—requires recent online activity (active within 7/15/30 days).
3. Need targeted gender: For example, beauty/digital products—needs gender identification based on avatar.

Before setting up a screening task, it’s recommended to write a priority list of requirements rather than blindly pursuing all detection types (charged per item, each additional detection item increases the unit cost).

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Four Steps to Complete the Number Screening Process Before Telegram Promotion

Standardize the cleaning operation into the following four steps. You can follow them without relying on complex scripts.

Step 1: Import or Generate Numbers to Screen

You have three ways to prepare numbers for screening:

• Upload your own CSV list: Upload your organized number file to the console (supports txt/csv format). The platform automatically resolves international country codes.
• Generate global numbers: Specify a country (supports 240+ countries/regions), number segments, or random generation in the KK-DATA console. Generation is free; charges apply only when screening.
• Import custom number segments: If you know specific operator number ranges (e.g., certain areas in a country), you can upload a CSV to precisely define the number pool to screen.

Note: Generated numbers need to be manually submitted for screening tasks (or automatically triggered via a pipeline).

Step 2: Perform Telegram Registration Check (Registration Check)

After submitting the task, the platform verifies one by one whether the number is registered on Telegram. Output results include two types:

• Registered: The number is registered on Telegram and can be used as a message target.
• Not registered: The number is not registered; discard directly.

This step can process up to approximately 1 million numbers at once, typically completed within minutes to hours depending on backend speed.

Step 3: Filter Active Users by Activity Window (Activity Detection)

“Registered” does not equal “active.” If your promotion requires users to have online behavior, enable activity detection. Selectable windows:

• 7-day active: Has online records in the last 7 days, suitable for high-frequency DMs and real-time interaction scenarios.
• 15-day active: A moderate window balancing reach rate and user activity.
• 30-day active: Suitable for mass content marketing, knowledge sharing—even if users don’t often go online, they can see the message within a certain period.

Depending on the target market’s user privacy settings (percentage that allows public last seen), you may find that some numbers cannot return an activity status (set to “invisible to everyone”). In this case, you can widen the activity window to 30 days, or export these numbers as “unknown activity” independently and judge them with other dimensions.

Step 4: Output High-Quality Lists with Gender Labels (Gender Identification)

If you need targeted promotion by gender (e.g., female beauty, male gaming), use the Telegram gender identification feature. The platform analyzes avatar image content features (facial features, clothing, hairstyle, etc.) to classify gender, with an accuracy of about 85%-90%. Results will show “Male,” “Female,” or “Unrecognizable.”

After adding the gender label to the export fields, your final data will include:

• Phone number
• Registration status
• Activity window (e.g., 7-day/15-day/30-day)
• Gender label
• Optional: TG ID (for precise message sending)

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Three Verifications Must Be Done After Screening

Even if the platform returns detection results, you still need to do simple verification to ensure the output data meets your delivery expectations.

Spot-Check Backtest

Randomly select 1%–5% of the screened numbers, manually search on Telegram or use other tools for secondary verification. Key checks:

• Whether the activity label is accurate: Compare “7-day active” numbers to see if they were really recently online.
• Whether the gender label is correct: Spot-check numbers with obvious avatars.

If the error rate exceeds 10%, contact the platform customer service to report data anomalies or adjust detection parameters.

Compare Pre- and Post-Screening Data

Record the total number of numbers before screening, the number of “registered + active” after screening, gender ratio, pass rate, etc. For example:

Indicator	Value
Pre-screening numbers	100,000
Registered numbers	68,000
Of which 7-day active	32,000
Male ratio (active)	52%
Female ratio (active)	38%
Unrecognizable gender	10%

Analyzing this data helps you determine whether the number pool quality is stable and whether adjustments to the data source or detection types are needed.

Record Batch Information

In the deduplication repository or your own management table, mark the detection task ID, processing time, and result summary for each batch of numbers. This facilitates subsequent re-screening (e.g., re-screening activity after 30 days) or cost accounting by batch.

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Common Screening Misconceptions and Avoidance Suggestions

Beginners often make the following mistakes, directly affecting promotion results:

Misconception	Wrong Practice	Correct Practice
Favor cheap unscreened numbers	Directly buy cheap number lists → think “low price is a good deal”	Choose detection services at 0.5–1 yuan per number, verify first, then use; long-term cost is lower
Ignore deduplication leading to repeated charges	Re-screen the same number in different tasks → balance drains fast	Use the platform’s deduplication repository or maintain your own dedup table to avoid charging for the same number multiple times
Ignore activity leading to high unsubscribe rates	Only do registration check → messages sent to many silent users who haven’t been online for half a year	For DM promotions, at least filter for 15-day activity
Ignore privacy settings	Assume all activity data is available	Understand the privacy setting preferences of users in the target region; appropriately widen the window or accept “unknown” labels
Mix all numbers together	Numbers from different countries not formatted with country codes	Ensure every number has an international code, otherwise it may be treated as invalid

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How to Continuously Maintain Number Pool Quality? (Long-Term Best Practices)

One-time screening is not the end. A high-quality number pool requires continuous maintenance:

1. Regular re-screening: For long-term number libraries, re-run activity detection every 30–60 days to remove deactivated or silent users.
2. Deduplication repository management: In KK-DATA, the deduplication repository records all screened numbers. New numbers are automatically cross-checked to avoid duplicate charges. It is recommended to clean up repository redundancy weekly (if tasks are heavy, archive by batch).
3. Balance monitoring and USDT recharge preparation: Charges are per item, no subscription needed. Purchase USDT (TRC20) in advance and maintain a balance of at least $50 to avoid being unable to submit unexpected tasks.
4. Establish data feedback loop: Feed the final delivery data (read, reply, conversion) from each campaign back into the number pool, marking numbers as “high-value” or “low-activity” for subsequent screening strategy optimization.

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Summary and Next Steps

Screening numbers before promotion is a low-risk, high-reward essential action. Using this checklist, you can avoid 3 common pitfalls, clean a high-quality number pool in 4 steps, and ensure long-term data availability through verification and continuous maintenance.

Start now:

1. Go to KK-DATA Console to register an account and recharge (USDT minimum ~$50).
2. Prepare your number sources according to this checklist and submit your first screening task.
3. Export results and perform spot-check verification to evaluate number quality.
4. If you have questions, contact customer service @kkdata_cc or refer to the documentation.

Upgrade your data quality—starting with one screening.

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Frequently Asked Questions

Q: Will screening cause numbers to be flagged or invalidated?

A: Reputable platforms use privacy-compliant detection methods, only verifying the registration status and last online time of numbers on Telegram servers using public information. They do not actively send messages or trigger account protection mechanisms, so numbers will not be flagged or invalidated. KK-DATA’s detection only reads public metadata and does not involve sending behavior.

Q: Is the “7-day active” activity detection accurate?

A: Activity detection is based on the “last seen” timestamp returned by Telegram (within users’ privacy settings), so accuracy is relatively high. However, some users may set their privacy to “nobody,” in which case the platform returns undisclosed information. It is recommended to appropriately widen the activity window (e.g., use 30 days) based on the proportion of privacy settings in your target market.

Q: My number list contains numbers from many different countries. Do I need to process them separately?

A: No need to separate. KK-DATA supports mixed submission of numbers from 240+ countries. The system automatically matches detection channels based on the origin of each number. Just ensure every number includes the correct international country code (e.g., +86, +1); no manual grouping is required.

Q: How is gender identification determined? What is the accuracy?

A: It analyzes the content features of Telegram avatar images (facial features, clothing, hairstyle, etc.) for gender classification, without reading profile text. Accuracy is about 85%-90%, decreasing if users upload non-selfie avatars (landscapes, cartoons). If your business requires extremely high gender accuracy, consider cross-validating with other dimensions.

Q: Can the recharged USDT be refunded? What if I have unused balance?

A: USDT (TRC20) recharge balance is valid permanently with no expiration date. Once credited, the balance is only used for subsequent screening task deductions; refunds to the original method are currently not supported. It is recommended to recharge in installments based on estimated monthly usage to avoid large idle funds. If the cause is platform-related and you cannot use the balance, contact customer service @kkdata_cc for negotiation.