Common Mistakes in Telegram Number Filtering: A Beginner’s Guide to Avoiding Pitfalls (Including List Formatting and Duplicate Detection Correction)

When you first start filtering Telegram numbers, you’re most likely to trip up on list preparation, duplicate detection, and understanding activity levels. You might submit 100,000 numbers, only to end up with a few thousand “valid” ones, or even get a direct error from the task. Often, these issues aren’t the tool’s fault—they come from operational habits.

This article summarizes the 6 most common Telegram filtering mistakes beginners make and provides correction methods to help you save credit and avoid detours. If you’re using KK-DATA or similar platforms for filtering, this pitfall avoidance guide is worth bookmarking.

---

Mistake 1: Incorrect Number List Format – Task Fails Immediately

This is the most frequent error, bar none. Many people export numbers from Excel or CRM and copy-paste them directly into a filtering platform, only to get a “format error” or “0 records recognized” after uploading.

Common Format Errors Examples

• With plus sign: +86 138 1234 5678 → The platform can’t parse the ”+” and spaces
• With parentheses or hyphens: (86) 138-1234-5678 → Extra characters cause invalidity
• Scientific notation: Excel defaults long numbers to display as 1.38123E+11, which changes when copied and pasted
• Includes letters or Chinese characters: The number column gets mixed with the “Name” column’s content

These errors are especially sneaky with large data volumes. Some platforms silently skip incorrect formats, so the actual number of numbers you detect is much less than what you submitted.

Correct List Preparation Steps

1. Clean to pure digits: Keep only numeric characters (0-9), including the country code. For example, a Chinese mobile number: 8613812345678 (without +, spaces, or hyphens).
2. One per line: One number per line, no blank lines.
3. Save as UTF-8 encoded TXT or CSV: Avoid BOM headers that cause the first line to be recognized incorrectly.
4. Test with a small batch first: Run a test with 100 numbers to make sure the format is parsed correctly.

If you’re worried about your list’s format, you can first use KK-DATA’s Global Number Generation feature to generate a batch of standard numbers and compare the format differences.

---

Mistake 2: Not Deduplicating – Wasting Credits on Duplicate Detection

Many users like to upload tens of thousands of numbers at once, run a round of results, then upload another batch—but the two batches have significant overlap. Without deduplication, the same number gets charged twice.

The Role of the Data Deduplication Repository

KK-DATA provides a Data Deduplication Repository feature that compares the current list with previously detected numbers before submitting the task, automatically skipping numbers already checked, avoiding repeated charges. This is a cross-task “blacklist” mechanism.

Practical Operation Suggestions

• Before each filtering session, import the numbers into the deduplication repository to filter them once.
• If you are doing periodic data cleaning (e.g., checking activity monthly), be sure to use the deduplication repository; otherwise, repeatedly submitted numbers will keep costing you credits.

---

Mistake 3: Assuming Gender Detection is 100% Accurate

Telegram’s gender detection feature is very useful, but newcomers tend to treat it as a “precision targeting tool.” In reality, gender detection is based on AI analysis of user profile photos and has the following limitations:

• Only users who have set a profile photo can be identified (some use default or blank avatars).
• The avatar may not be a personal photo (e.g., cartoons, landscapes, pets).
• AI accuracy decreases for blurry images or photos with two people.

Therefore, gender data is best used as an auxiliary filter, not the sole criterion.

Suitable Scenarios for Gender Detection

• Broad audience filtering: For example, if you want to send beauty coupons to female users, you can use “female” as a rough filter and then verify with other dimensions.
• Used in combination with activity: Selecting both “female + active in the last 30 days” can significantly improve target audience precision.

How to Combine with Other Fields for Better Accuracy

Recommended combined filter:
Country + Activity + Gender
For example: target market USA, active in the last 7 days, gender male. Even if there are a few gender misjudgments, the activity filter already removes a large number of zombie accounts, so the final data quality is still manageable.

---

Mistake 4: Improper Activity Window Setting – Leading to Invalid Data

KK-DATA supports activity windows like 7 days, 15 days, 30 days, etc. This parameter directly affects whether the filtered users are “online.” Beginners often make two opposite mistakes:

• Window too short (e.g., 7 days): For some low-frequency user groups (e.g., heavy users of non-instant messaging apps), not being online in 7 days doesn’t mean the number is useless; you might filter out potential users.
• Window too long (e.g., 30 days): Filtered users may have already churned, not helpful for campaigns requiring immediate reach (e.g., time-limited activities).

Window Recommendations for Different Scenarios

Business Scenario	Recommended Activity Window	Reason
Time-limited discounts / promotions	7 days	Ensure users have been online recently and respond quickly
Long-term community operations	30 days	Cover more potential members, reduce missed filtering
Cross-border e-commerce pre-sale	15 days	Balance activity and audience size
Brand awareness / content push	30 days	Tolerate users’ low-frequency habits

If you’re unsure, you can first run a 30-day window, then filter from the active numbers those who have been active in the last 7 days. This way, you control costs without missing valuable data.

---

Mistake 5: Ignoring Task Quantity Limits and Credit Estimation

KK-DATA supports up to about 1 million numbers per single task. However, if you submit more than that at once, or your credit balance is insufficient to cover the task cost, the task will be directly rejected.

How to Avoid

• Check the estimated cost before submission: After uploading the list, the console displays the estimated amount to be consumed. Make sure your balance ≥ estimated cost before submitting.
• Submit in batches: If your list exceeds 800k numbers, consider splitting it into multiple tasks to avoid hitting the upper bound and failing.
• Keep your balance sufficient: USDT top-ups have a minimum threshold of about 50 USDT (TRC20) and are updated only after arrival. Top up in advance; don’t wait until you submit the task to find your balance insufficient.

---

Mistake 6: Confusing “Registered” with “Active” – Misjudging Number Value

Many people see “Telegram registered” and think the number is a usable lead, but registration only means the number signed up for Telegram, not that they’re still using it. Does a zombie account (inactive for a year) have value to you?

Truly Valuable Combinations

• Valid + Active: Means the number is not only registered on Telegram but has also been online recently. These are real reachable users.
• Valid + Active + Gender/Country: Further narrows the scope.

Common Misconceptions

• Only filter by “registered” → The list you get may be 70% silent users.
• Only filter by “valid” without specifying activity → Still includes many inactive numbers.

Correct approach: In the KK-DATA filtering task, check both “Valid” and “Active” (choose a window), and export tgid as well. This way, you get truly usable DM targets.

---

Frequently Asked Questions

Q: My number list contains entries like “+86 138 1234 5678” with spaces and plus signs. Will they be recognized?

A: No. KK-DATA requires a pure numeric format, including country code, no spaces, no plus sign. Correct format example: 8613812345678. Use Excel’s replace function to remove all non-digit characters (find + replace with empty, find space replace with empty, etc.).

Q: If the same number is submitted in multiple different filter tasks, will it be charged repeatedly?

A: If the Data Deduplication Repository is enabled, the system will automatically recognize numbers that have already been detected and will not charge again. If not using the deduplication repository, each task will charge independently. It is strongly recommended to first import into the deduplication repository before filtering.

Q: How accurate is Telegram’s gender detection? Can it be used for precise targeting?

A: Gender detection is based on AI avatar recognition, with an accuracy of about 70%-80%, not 100%. It cannot identify users with blurry avatars, no avatar, or cartoon avatars. It is recommended as an auxiliary filter, not the sole criterion.

Q: What is the activity window? How should I choose 7 days, 15 days, or 30 days?

A: The activity window refers to detecting whether the number has online records within the most recent X days. A 7-day window is the strictest, suitable for urgent outreach (e.g., time-limited activities); a 30-day window is looser, suitable for accumulating long-tail potential customers. Choose flexibly based on business needs.

Q: What is the maximum number of numbers per single task? Can I cancel after submitting?

A: KK-DATA supports up to about 1 million numbers per task. Once submitted, the task cannot be manually canceled, but if it hasn’t started yet, you can contact customer support as soon as possible to try to cancel. It is recommended to test with a small batch before large-scale submission.

---

Summary and Next Steps

By avoiding these 6 common mistakes, your Telegram number filtering efficiency can increase by at least 50%, and credit wastage will drop significantly. Keep these core principles in mind:

• List format: Pure digits, one per line, no spaces.
• Deduplication: Use the Data Deduplication Repository to prevent repeated charges.
• Activity: Choose the window based on your business scenario, don’t use a one-size-fits-all approach.
• Gender: Use only as a supplement, combine with activity and country.
• Balance: Check the estimate before submitting, don’t let tasks fail due to insufficient balance.
• Indicators: Distinguish between “registered” and “active”; only filter for truly reachable users.

Now go try your first filtering task!

👉 Log in to the console to start filtering
Two-way contact customer service: https://t.me/kkdata_robot
View full documentation: https://docs.kkdata.cc/