US TG Data Screening Delivery SOP: Complete Acceptance Guide for Studios and Agent Operations Teams

#US TG Data Screening Delivery SOP: Complete Acceptance Guide for Studios and Agent Operations Teams

U.S. TG data (U.S. Telegram data) is a very common resource type in overseas customer acquisition - generally refers to a valid number within the U.S. area code (such as +1 number segment, specific country code), which has been confirmed by platform detection that Telegram has been activated, and has fields such as activity level and gender. For agent operation teams and studios, they often face three pain points when delivering US TG screening data: batch quality fluctuations, ambiguous acceptance criteria, and repeated testing leading to wasted balances. A standardized set of SOPs (standard operating procedures) can not only improve delivery stability, but also reduce overall costs. This article will provide a complete guide that can be implemented directly from requirement confirmation to acceptance form, from re-screening rules to multi-platform collaboration.

What is US TG data? Why does the studio need to deliver SOPs?

US TG data, defined in industry terms, refers to a collection of structured fields such as activation/validity status, active window (for example, within 7 days), gender/age, etc. obtained after detecting phone numbers mainly in the US number range through Telegram filtering platform (such as KK-DATA). Core fields include:

• tg activation (whether to register Telegram)
• tg active (online or login behavior within the specified time period)
• Gender (some numbers can identify male/female and approximate age)
• tgid (Telegram unique ID)

When the agency operations team delivers this type of data in batches, disputes often arise due to the following issues:

• The numbers received by Party A are mixed with a large number of invalid numbers (Telegram has not been activated)
• The “active” data delivered is actually offline records from 30 days ago
• The proportion of missing gender fields is too high and cannot meet the targeting needs
• The same batch of numbers is repeatedly detected, resulting in a waste of balance

Therefore, it is crucial to establish a set of SOPs from task configuration to acceptance and delivery - it allows the studio to quickly copy high-quality delivery and reuse it to different parties, while avoiding rework caused by inconsistent standards.

The studio’s 5-step standardized process for delivering US TG data

The following process is applicable to screen number platforms such as KK-DATA and can be copied to any studio operation.

Step one: Confirm overseas customer acquisition needs (target group, active window, gender ratio)

When communicating with Party A, the following three core parameters must be clarified:

1. Target Market: United States (Area Code + 1). If you need to refine it to states or cities, Party A needs to provide a custom number pool (CSV import).
2. Active window: Generally choose 7 days, 14 days or 30 days. Different windows correspond to different active definitions, which directly affect the detection cost (the cost of tg active detection is usually higher than that of only enabling detection).
3. Gender/Age Ratio: For example, it requires “male proportion ≥70%” and “age field coverage ≥80%”. Note: Gender recognition is not 100% available, and the minimum availability rate must be agreed upon in the contract.

It is recommended that the above parameters be written into the SOW (Statement of Work) as the acceptance benchmark.

Step 2: Number pool generation and deduplication

Use KK-DATA’s Global Number Generation module (free) to randomly generate the required number of numbers based on US number segments. Generating method:

• Select by country: Select the United States directly, and the system will automatically fill in the +1 segment.
• Customized number segment: Import CSV files containing specified prefixes (such as 213, 310, etc.).

The generated number must be imported into the Data Deduplication Warehouse. The warehouse will compare historical task records and automatically skip the numbers that have been detected to avoid repeated deductions. Deduplication front-end is the first line of defense for cost control.

Step 3: Task configuration and estimated cost confirmation

When creating a task in the KK-DATA console, configure it in the following order:

1. Select test type: Check “tg activated”, “tg active (7 days)” and “tg gender”. Note: The cost of tg gender detection is higher than that of activation or active. If Party A does not explicitly require the gender field, it is recommended to only check “activation + active” to save budget.
2. Upload numbers or select generation results: Supports pasting or importing from generation history.
3. View estimated fees: The console will display the estimated deduction amount in real time based on the number of numbers and detection type. Submit the task after confirming that the balance is sufficient.

Step 4: Execute detection and result monitoring

After the task is submitted, the platform starts detection. The detection time depends on the volume of numbers and the current load on the platform (usually minutes to hours). You can receive task completion reminders through Telegram notifications (required to be bound in advance).

Step 5: Result export and data transfer

After the detection is completed, export the CSV or TXT file in the console. When exporting, it is recommended to select the complete format including all fields. Then conduct quality inspection according to the acceptance form (see the next section for details), and deliver it to Party A after passing the inspection.

How to make the acceptance form? 5 key metrics for US Telegram data delivery

The following is a reusable acceptance form template. It is recommended that the studio and Party A agree in advance on the qualification standards for each indicator.

Indicators	Definition	Qualification Baseline (Reference)	Acceptance Methods
tg activation rate	Number of numbers that have opened Telegram ÷ total number of numbers	≥85%	Randomly check 100 items, manual verification
tg activity rate (7 days)	Number of logged in/online numbers within 7 days ÷ Number of activations	≥60%	Sampling results compared to console data
Gender matching accuracy	Proportion of gender field consistent with real gender	≥90% (agreed threshold)	Small sample review (for example, through avatar or additional information)
Duplication rate	Duplication ratio with historical delivery data	≤5%	Use deduplication warehouse comparison
Field integrity	Proportion of non-null fields to the total number of fields	≥95% (except gender)	Count the number of null values in exported CSV

Rescreening rules: How to avoid invalid numbers and gender misjudgments in US TG data?

A single detection may result in biased results due to changes in number status (such as users logging out of Telegram) or platform fluctuations. Rescreening (secondary testing) is a key link in ensuring quality.

Applicable scenarios for re-screening: large batch differences or complaints from Party A

• The difference in batch activation rate exceeds 10%: For example, the first batch is 88% and the second batch is only 72%, then the lower batch will be re-tested.
• Party A’s feedback that the gender label does not match the actual situation: For example, if “female” in a large batch of data obviously deviates from the expected proportion, the batch of numbers can be randomly checked and the gender field retested.
• Unknown gender ratio is too high: If “unknown” exceeds the contractual threshold (such as 15%), it is recommended to re-screen.

Rescreening operation process: inherit the original task configuration + exclude confirmed valid numbers

1. Export the number that has been confirmed to be valid in the original task (tg activated + active) and save it separately.
2. Re-import the remaining numbers to be re-screened (including unknown and unactivated numbers that may be activated later) into KK-DATA, maintaining the same detection configuration (tg activated + tg active + gender).
3. Before submitting a new task, first deduplicate the warehouse and import the historical number list to avoid repeated detection of confirmed valid numbers.
4. The re-screening results are merged with the original results and output, and the “After re-screening” field is marked.

Note: Re-screening will consume additional balance, and the cost-benefit needs to be evaluated. Common practice is to rescreen only 10%-20% of samples from a disputed batch.

How to reduce the overall cost of US telegram data screening?

KK-DATA’s bill-by-article and no-subscription package model is very friendly to studios, but there is still room for optimization.

• Duplication prefix: Before each new task, use the deduplication warehouse to scan the number pool and skip the detected numbers to avoid repeated deductions.
• Merge small batches: Merge multiple Party A’s scattered needs into one larger task, taking advantage of the larger scale of single inspection (some platforms have gradient discounts for large batches? But KK-DATA does not, but it can reduce the overall operating cost).
• Submission during off-peak hours: Although the platform charges a fixed fee per item, the detection speed may be faster during off-peak hours, reducing waiting time and improving manpower efficiency.
• Streamline detection types based on business needs: If Party A only needs active users, do not check gender detection. TG gender detection costs more than active detection and is only enabled when necessary.

Data security and fraud prevention: How does the agency operation team avoid delivery risks?

When delivering US telegram data, studios must pay attention to the following points:

1. Legitimacy of number sources: Only use numbers obtained through formal channels (such as voluntary registration by users, generation of public number segments), and do not purchase illegally captured data.
2. Privacy Protection: When delivering data, it is recommended to desensitize or encrypt sensitive information (such as tgid) to prevent leakage.
3. Anti-counterfeiting customer service: KK-DATA official website provides an official Telegram account verification channel (two-way contact customer service robot https://t.me/kkdata_robot), reminding the studio and Party A to confirm with the official through this channel to avoid being defrauded of numbers or balances by fake customer service.

Multi-platform collaboration: from US tg data to WhatsApp and Line cross-customer acquisition

The Phone Number in the U.S. TG data that has been verified to be valid can be further put into other platforms for cross-checking to increase the value of data reuse. For example:

• Import the number that has been activated and active by TG in the United States into the WhatsApp number screening task to check whether it has activated WhatsApp and its activity level.
• If the target market includes Vietnam or Southeast Asia, Zalo or Line screening tasks can also be imported.

KK-DATA supports the screen numbers of more than ten platforms such as Telegram, WhatsApp, Line, Zalo, iMessage, etc., and all tasks are billed independently. In this way, after multiple screenings, a number pool can form a “golden customer acquisition list” cross-validated by multiple platforms.

FAQ

Q: What is the basis for the “tg active” detection in the US TG data? Answer: The platform uses specific active windows (such as 7 days/14 days/30 days) to determine the login or online behavior of the account in the corresponding period. You can specify the active time range when configuring the task, and the detection results will be presented in the “Active or Not” field.

Q: If the studio delivers US telegram data in batches, does it need the other party to provide the number source? Answer: Not necessarily. You can use the number generation module of KK-DATA to randomly generate a number pool based on the US number range and then filter it. If you need precise targeting (such as a specific state/city), you can import your own numbers through a custom CSV.

Q: What should I do if I find that the gender field has a high proportion of “unknown” during acceptance? Answer: Gender recognition is not 100% covered. If the proportion of “unknown” exceeds the agreed threshold, the batch number can be selected for re-screening (resubmission of gender testing), or it can be agreed with Party A to mark “unknown” as valid but with additional labeling, which will not be counted in the gender target completion rate.

Q: Will there be repeated deductions for repeated testing with the same number? Answer: Yes, each new task will be deducted based on the detection volume. In order to avoid waste, it is recommended to use KK-DATA’s data deduplication warehouse to import numbers before submitting the task. The system will automatically mark the historical detected numbers to skip duplicates.

Q: Can the US TG data be merged and exported with data from other platforms? Answer: You can export CSV or TXT files separately by task in the console, and then merge them yourself using Excel or Python. The platform currently does not support merging cross-platform data into one file for export.

Mastering the standardized screening and delivery process of US TG Data is the key for the studio to increase the repurchase rate and control costs. Log in to the KK-DATA console immediately to start your first task, or if you encounter any problems during the delivery process, contact customer service directly for help in both directions.

👉 Log in to the console to start screening numbers · Two-way contact customer service https://t.me/kkdata_robot See the official website https://kkdata.cc/ and usage documentation https://docs.kkdata.cc/