U.S. Valid TG Number Delivery Acceptance Checklist: Complete Guide to Number of Files, Fields, Repeat Rates, Timestamps and Detection Types

Purchasing a valid TG number in the United States (a number activated by Telegram in the United States) is a common data action for overseas teams to do private message promotion, group operations, and TG followers. However, many teams spent hundreds or even thousands of USDT and directly imported the files into the delivery system without acceptance. As a result, they found that a large number of numbers were not activated, the duplication rate was high, and the activity data was missing, causing the actual conversion cost to soar. This article will provide a U.S. Valid TG Number Delivery Acceptance Checklist that can be directly checked, covering the number of files, field integrity, repetition rate thresholds, timestamp verification and detection type differentiation, to help you avoid data injection and repeated payments.

Why must data acceptance be done after a valid TG number in the United States is delivered?

The essence of data acceptance is quality control. In the overseas customer acquisition budget, screen number procurement usually accounts for 30%–50% of the total cost. If the delivered numbers have a large number of unactivated, duplicate, or expired accounts, it means that your private message reach rate may be lower than 30%, and user portrait analysis will also be distorted due to missing gender/age fields.

Taking valid TG numbers in the United States as an example, a typical procurement scenario is: you pay the data supplier for 5,000 “active US Telegram users”, but in the actual delivery file:

• Only 4,000 rows of data (20% false report);
• 800 rows are duplicates from the previous batch (duplication rate 16%);
• The tgid field is missing and cannot be directly used in the tg fan-adding robot;
• The last active timestamp was 6 months ago, and it is an “opened but long-term inactive” account.

Without an acceptance checklist, it’s difficult to find problems within the delivery window. Formal data platforms (such as KK-DATA) provide complete detection timestamps, field descriptions and multi-format exports, but purchasers still need to master basic acceptance methods.

Step one: Check whether the number of files and the number of record lines are as expected?

The most common problems with deliverables are that the number of files is less than promised and the number of lines is false. The first step in acceptance is to “count.”

What file types should be included in the package delivery?

A qualified delivery package for a valid U.S. TG number should contain:

• Master data file: CSV or TXT format, one record per line, clear column titles (see step 2 for field names).
• Metadata file (optional but recommended): records detection time, platform version, screen number task ID, etc. If the supplier provides a detection timestamp file, check whether the time is within a reasonable range after purchase (for example, produced within 24 hours after purchase).
• Field Description Document: Clarify the meaning of each column, for example, tg_registered is the activation detection result (yes/no), tg_active is the active detection result (yes/no), and last_active_time is the last active timestamp.

If there is only a single CSV in the delivery package and there is no field description, it is recommended to ask for completion.

How to quickly calculate the number of record lines and compare the order quantity?

1. Count the number of lines in the command line (taking Linux/Mac as an example): wc -l filename.csv The output result is the total number of rows, minus the header row (usually row 1). For example, if 5001 rows are output and the header occupies 1 row, then the data record is 5000 rows.
2. Statistics in Excel/Google Sheets: Open the file, select the data area, and the status bar will display the number of rows. Or use the formula =COUNTA(A:A) (assuming column A is not empty) to estimate.
3. Compare order quantity: Use the actual number of recorded lines ÷ the purchase quantity. If the error exceeds 5% (for example, 5,000 items were purchased, but only 4,600 were actually purchased), redelivery will be required.

Step 2: Verify whether the key fields (tgid, activity, gender and age) are complete?

The complete data of a valid TG number in the United States should include Telegram activation status, activity, TGID, gender, age and other fields. Missing core fields means data availability is compromised.

What required fields must be included in a valid TG number in the United States?

Field name	Meaning	Is it required	Example of expected value
phone_number	Phone number (international format)	Yes	+12025551234
tg_registered	Whether to register Telegram	Yes	yes or no
tgid	Telegram digital ID	Highly recommended	1234567890
tg_active	Whether it is active within the detection window	Yes (if purchasing an active number)	yes or no
last_active_time	Last active timestamp	Recommended	2025-03-28 14:30:00 UTC
gender	Gender (from public data)	Optional	male / female / unknown
age	age (integer)	optional	30
detection_timestamp	Detection completion time	Recommended	2025-04-01 12:00:00 UTC

If tgid is missing, you will not be able to quickly import friends or use the probe tool through tgid. If the gender/age fields are missing, you can’t do demographic targeting. During acceptance, confirm that there are at least three columns: phone_number, tg_registered, and tgid.

Do the field values ​​conform to a logical format?

• tgid must be purely numeric, no letters or special characters should appear. If it is all -1 or 0, it means that the user name is not detected, and you need to ask the supplier for the reason.
• The Gender field should not contain garbled characters (such as �) or a large number of null values. If more than 50% is unknown, it means that the gender recognition rate is low, which may affect later population screening.
• The Age field should be within a reasonable range (such as 18–70 years old). If most of the ages in a file are 999 or NULL, the data quality is not available.
• Activity timestamp should be an accurate point in time, not a fixed “2020-01-01” placeholder. If all active timestamps are exactly the same, it is most likely forged data.

Step 3: Is the detection repetition rate below the acceptable threshold?

Duplicate records directly lead to repeated deductions when billing by item. For example, if you purchase 10,000 valid TG numbers in the United States, only 8,000 are left after deduplication, which is equivalent to paying 20% ​​more cost.

Acceptable duplication rate recommendations: less than 5% (i.e. ≤500 duplicates out of 10,000). If it exceeds 10%, re-delivery or partial refund should be requested.

Detection method:

1. Merge all delivery files into a CSV (note that headers are deduplicated).
2. In Excel, select the phone_number column and use “Conditional Formatting → Highlight Cell Rules → Duplicate Values” to quickly mark duplicates.
3. Or use the =COUNTIF(A:A, A2)>1 formula of Google Sheets for statistics.
4. Calculate the repetition rate = number of repeated rows ÷ total number of rows × 100%.

Common reasons: Some suppliers will send the same batch of numbers in multiple files without performing global deduplication; or use the same number pool to run tasks multiple times. All delivery documents must be merged and deduplicated during acceptance.

Step 4: Confirm whether the timestamp information matches the detection window?

Telegram activity detection relies on the detection time window. The interval between the delivery timestamp of a valid TG number in the United States and the current business time directly affects the data timeliness.

• Detection timestamp: Record the specific time when the screening task is completed. If the detection was completed 3 months ago, the active status of the number may have changed (especially for data with an active window of “within 7 days”).
• Activity Window: Suppliers should indicate the window for active detection (e.g. “last 7 days”, “last 30 days”). You can see last_active_time in the field and compare it with the current date to determine whether the number’s activity meets your needs.

Acceptance Suggestions:

• Record purchase date and delivery date. If the delivery date is more than 48 hours from the purchase date, and the detection timestamp is still after the purchase date, it is reasonable; but if the detection timestamp is earlier than the purchase date, it means that the data may be “inventory data” and the timeliness is questionable.
• For the scenario of adding TG followers or sending private messages to groups, it is recommended to use a valid TG number in the United States with a detection time within the past 1 month**. For old data that is more than 3 months old, the actual connection rate may drop by more than 20%.

Step 5: Distinguish detection types - do ‘activated’ and ‘active’ have different meanings for actual delivery?

Among the valid TG numbers in the United States, the user group that has been “activated but has been inactive for a long time” has a very low private message reply rate. During acceptance, it is necessary to clarify whether the purchase is “open testing” or “active testing”, and distinguish the fields in the delivery document.

Detection type	Field	Meaning	Applicable scenarios
Activation detection (tg_registered)	tg_registered = yes	This number has registered a Telegram account	Inviting people into the group, group invitation, no real-time online requirement
Activity detection (tg_active)	tg_active = yes, and last_active_time is within the window	The number has active behavior within the specified time (such as sending messages, going online)	Private message promotion, tg fans, instant conversation

Many suppliers will quote “open” and “active” together. If you only promise “US Telegram activation number” during acceptance, then the activation field must be yes, and the active field is not mandatory. But you can request to keep both columns in the list so that you can do secondary screening based on activity later.

How to use the US valid TG number acceptance list to quickly recheck data quality?

Combine the first five steps into a quick recheck checklist that you can tick off within 24 hours of receiving your data:

Acceptance items	Thresholds/requirements	Pass (✓)	Fail (✗)
1. The number of files is consistent with the order	Number of files = number of commitments, at least 1 CSV+TXT	—	—
2. The error in the number of recorded lines is ≤5%	The number of actual lines/number of purchased lines is ≤5% deviation	—	—
3. All required fields are complete	phone_number, tg_registered, tgid, tg_active, last_active_time, gender, age	—	—
4. The field value is logically valid	tgid is a pure number; the gender known ratio is ≥50%; the age is in the range of 18-70	—	—
5. Repetition rate ≤ 5%	Repetition rate after merging and deduplication ≤ 5%	—	—
6. The timestamp is reasonable	The detection time is within 48 hours before delivery, and the active window meets the procurement requirements	—	—
7. The detection types are clearly distinguished	The values in the activated/active columns are clear and match the procurement type	—	—

Directly using this list to connect with suppliers can significantly reduce negotiation costs.

FAQ

**Q: After purchasing a valid TG number in the United States, the TGID column is missing in the file. Can it still be used? ** Answer: The lack of tgid means that users cannot be accurately identified and added on Telegram, and data availability is greatly reduced. It is recommended to ask the supplier to reissue a complete field file containing tgid.

**Q: The duplication rate of valid US TG numbers exceeds 10%, can I request a refund? ** Answer: A repetition rate of 10% means that about one-tenth of the usage is wasted. Most formal platforms allow re-inspection within 24 hours after delivery. If the threshold is exceeded, re-screening or refund should be negotiated, which is subject to the delivery agreement.

**Q: How to check the active window of the US Telegram number? ** Answer: The active window is set by the detection task (such as the last 7 days/30 days). The “tg_last_active_time” field should be included in the delivery file. By comparing this timestamp with the current date, you can determine whether the active window meets the requirements.

**Q: What should I do if I find that the gender fields are all ‘unknown’ during acceptance? ** Answer: Gender recognition relies on the user’s public information. It is normal for some users not to set it up and it will be missing. However, if more than 80% of the fields are unknown, it means that the recognition rate is too low, and the supplier can be asked to rerun the gender detection or provide an explanation.

**Q: What we bought was a “valid tg number in the United States”, but some numbers in the delivery document tg_registered=no, is it considered unqualified? ** Answer: If the purchase type is clearly “opening number”, then the record with tg_registered=no should not be included in the valid data. Please remove these lines during acceptance and notify the supplier to re-deliver or refund based on the number of valid lines.

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