Guide to cross-batch deduplication of valid TG numbers in the United States: Managing data in this way is more cost-effective

When acquiring customers in the US TG, after continuous purchasing or generating multiple batches of numbers, the most easily overlooked cost black hole is duplicate detection - the same batch of US valid TG numbers are submitted repeatedly, and the balance is consumed in vain. KK-DATA’s data deduplication warehouse is designed for this purpose: automatic comparison across batches, deductions only for new numbers, while maintaining project isolation. From principles to practical operations, this article explains how to use the deduplication warehouse to manage your US TG valid numbers and US Telegram activated numbers, so that every penny spent is on net added data.

Why is data deduplication important in batch screening of valid TG numbers in the United States?

In a continuous number screening scenario, it is almost normal for numbers to overlap and repeat:

• The same batch of CSV is imported repeatedly by different people;
• The randomly generated numbers partially overlap with the numbers in historical missions;
• Customer A’s leads intersect with Customer B’s leads.

If duplication is not removed, fees will be deducted per item for each repeated test. Suppose you have 100,000 pieces of US TG activation data, of which 20,000 pieces have been detected before. Then these 20,000 pieces are a net loss-it does not bring any new information, but you pay twice. In addition, repeated data will also contaminate statistical results: activity rate and gender distribution will be biased by repeated items, leading to misjudgment in decision-making.

The core value of the data deduplication warehouse is: once detection, lifetime identification. The system records each detected number. No matter which subsequent task the same number appears in, it will be automatically skipped and only the new number will be charged. At the same time, the warehouse supports isolation by project, saving money and not confusing customer data.

What is cross-batch data deduplication? How does it solve the duplicate detection problem?

Cross-batch data deduplication means that the system compares the numbers in the current task with the numbers that have been detected in all historical tasks (or designated warehouses), marks duplicates, and automatically excludes these duplicate numbers before deducting fees. Compared with traditional manual deduplication, it has the following three key differences:

Dimensions	Traditional manual deduplication	Cross-batch data deduplication (KK-DATA)
Time cost	Historical data needs to be exported and compared using Excel formulas or scripts, which is time-consuming and error-prone	Automatic comparison when submitting tasks, completed in seconds
Accuracy rate	Depends on operator skill, easy to miss duplicates or delete by mistake	System-level hash comparison, 100% accurate identification of the same number
Project isolation	Usually a separate deduplication table needs to be maintained for each project	Isolation is achieved through warehouse name/remarks, and the exported data comes with its own batch identification

How cross-batch deduplication works

1. Number submission: You upload or enter a batch of numbers and submit the number screening task.
2. System comparison warehouse: In the task pre-processing stage, the system compares this batch of numbers with the existing records in the warehouse (or all warehouses) you specify one by one.
3. Mark duplicates: Any numbers that already exist in the warehouse are marked as “duplicate skips”, and numbers that are not in the warehouse enter the detection queue.
4. Only add new numbers: The system only performs actual detection on newly added numbers (such as detecting activation, activity, gender, etc.).
5. Deduction: After the task is completed, the cost = this new number × unit price. Duplicate numbers are not charged.

3 key differences from traditional manual deduplication

• Immediacy and Automation: Traditional deduplication requires manual operations, while cross-batch deduplication is a built-in step when submitting tasks, requiring no additional work.
• Long-term memory: Manual deduplication is usually only for duplicates within the current task; cross-batch deduplication can span days, weeks, and months. As long as the warehouse is not deleted, the historical records will always take effect.
• Balance Protection: Traditional methods cannot intercept duplicate items before deduction. Cross-batch deduplication directly eliminates duplication during the fee estimation stage, saving money at the source.

How to set up a data deduplication warehouse so that the valid numbers of each batch of US TG are not repeated?

The actual operation requires only three steps.

Step 1: Create a warehouse

Enter KK-DATA Console → “Data Deduplication” module on the left menu → click “New Warehouse”. Suggested naming rule: 项目名-平台-日期, such as “US Audience Batch A-TG-202407”. The remark column can be filled with customer name or batch description.

Step 2: Import numbers

On the warehouse details page, click “Import Number”. Supports CSV and TXT formats, one line for each number. After importing, the system will automatically compare it with the historical records in the warehouse and display the existing quantity. This step is free.

Step 3: Submit screening task

Return to the number screening task creation page, select the detection type (such as “Telegram activation detection”), check “Import from warehouse” in the number source, and select the warehouse you just created. The system will automatically read the numbers in the warehouse that have not been tested yet (those that have been tested will be skipped) and display the estimated cost. Submit after confirmation.

Recommended process: Store in storage first, then screen numbers. This ensures that numbers already in the warehouse are not checked twice.

The number I imported is the same as the previous task, will the fee be deducted a second time?

**Won’t. ** The system will perform a “cost estimate” before submitting the task, and clearly display the “number of new numbers this time” and “the number of deducted numbers this time” in the estimate. For numbers that already exist in the deduplication warehouse, the system will mark them as “duplicate skipping” and will not be included in the deduction range.

If you find that the estimated cost is less than the total number of numbers, some numbers have been skipped. It is recommended to check the estimated details before submitting a task each time to confirm whether the number of repeated skips is reasonable.

Develop a habit: Remove duplicates from the warehouse first, and then submit the task. If the number source is randomly generated or external CSV, you can first import it into the warehouse for sorting, and then initiate the number screening task from the warehouse. This sequence of operations maximizes the deduplication effect.

How to isolate different customer projects instead of just relying on deduplication?

The deduplication warehouse itself does not force binding to a single project. You can achieve project isolation in the following ways:

• Warehouse naming: Create an independent warehouse for each customer/project, such as “Customer A-US TG-202407” “Customer B-US TG-202408”.
• Remarks Tag: Add customer name, channel source, delivery date and other information to the warehouse remarks for easy retrieval.
• Export fields: After the number screening task is completed, the exported CSV will include fields such as “original batch” and “warehouse name” to clarify the source of each number.

4 low-cost ways to manage multi-project deduplication

1. Uniform naming rules: such as {客户ID}-{平台}-{YYYYMM} to avoid warehouse confusion.
2. Regular cleaning of verified warehouses: When a project is completed, the warehouse can be exported and archived, and then deleted to release capacity (note: historical comparison records will be lost after deletion).
3. Export Label: When exporting filter number results, check “Include warehouse name” and “Include task ID” to facilitate subsequent data traceability.
4. Balance Monitoring: Check the actual deduction for each task through the console balance record, compare the estimate and actual payment, and detect abnormalities in a timely manner.

How to determine whether the deduplication warehouse is effective?

After submitting the task, you can see two key fields on the task details page:

• Number of repeated skips: The number of numbers that were skipped due to comparison with the warehouse in this task.
• Number of numbers deducted this time: The number of numbers actually detected and included in the fee.

If the number of repeated skips > 0, it means that the deduplication warehouse has taken effect. At the same time, after the task is completed, the system will send a Telegram notification (if bound), which will also include the number of repeated skips.

What are the precautions when using data deduplication warehouse?

• Do not mix numbers from different countries: Different countries have different detection logic (such as American Telegram numbers and Indian Telegram numbers). Mixing them in the same warehouse may lead to statistical confusion. It is recommended to open positions separately by country + platform.
• Do not delete warehouse history frequently: Once the warehouse is deleted, the number comparison records in it will also be lost. If you really need to clean it up, it is recommended to export the backup (CSV format) first and then delete it.
• Pay attention to the upper limit of warehouse capacity: There is an upper limit on the number of number entries supported by each warehouse (see the console page for details). If the warehouse is full, importing new numbers will fail. At this time, you can create a new warehouse or delete expired data.
• Warehouse data is only visible to you: Warehouses between different accounts are completely isolated. Different warehouses under the same account are also independent of each other, and will not automatically deduplicate across warehouses (unless you check multiple warehouses in the task).

For more detailed operation instructions, please refer to KK-DATA official documentation.

FAQ

**Q: Can the data deduplication warehouse take effect on all platform numbers? ** Answer: Yes. The data deduplication warehouse supports deduplication detected by multiple platforms such as Telegram, WhatsApp, Line, and Zalo. Regardless of whether the number source is randomly generated, CSV imported, or manually entered, as long as it is compared in the warehouse, subsequent submissions will automatically skip duplicates.

**Q: This is my first time using it and I have not created any warehouse before. Will it be deduplicated? ** Answer: The system will recommend you to create at least one warehouse. If you do not create one, there will be no cross-task deduplication by default (that is, each task is processed independently), but you can still check “Use the default warehouse” when submitting the task to enable deduplication.

**Q: Will the numbers in the deduplication warehouse be shared with other customer projects? ** Answer: No. Your warehouse data is only visible to you, and data between different warehouses is completely isolated. Each project can be bound to an independent warehouse to ensure that customer data does not interfere with each other.

**Q: If I accidentally delete a warehouse, can the previously detected numbers still be deduplicated? ** Answer: No. Once the warehouse is deleted, the number comparison records in it will also be lost. It is recommended to confirm that there is no need to retain historical data before deleting it, or to export a backup before deleting it.

**Q: After using the deduplication warehouse, will it affect the number statistics of valid TG numbers in the United States? ** Answer: No impact. The system will simultaneously export the “valid numbers for this new detection” and the “valid numbers already in the warehouse”. The two numbers are displayed separately to facilitate your analysis of total and net increase data.

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Data deduplication is the last piece of the puzzle for screen number cost control. If you are continuing to purchase or generate US valid TG numbers, you might as well start building an independent warehouse for each customer project today, and let cross-batch deduplication help you save 20%–40% of repeated testing costs.

👉 Log in to the console to start screening numbers ｜ Two-way contact customer service https://t.me/kkdata_robot ｜ Official documents https://docs.kkdata.cc/