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Guide to deduplication of active TG data in the United States: How to reduce duplicate testing and isolate customer projects across batches

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Guide to Deduplication of Active TG Data in the United States: How to Reduce Duplicate Testing and Isolate Customer Projects across Batch Numbers

Obtaining high-quality US active TG data is a common and urgent need in cross-border private domain operations and overseas marketing. Whether it is e-commerce notifications, community recruitment or agency operation projects, only a truly online Telegram account can ensure reach. However, when you obtain a list of numbers from different sources and screen numbers in batches, the budget waste and project confusion caused by repeated testing are often underestimated. This article explains in detail how to achieve efficient screening of US TG active numbers and isolation of multi-client projects through cross-batch data deduplication warehouses, so that every penny you spend can be spent on “new numbers”.

What is US active TG data? Why is it needed for cross-border customer acquisition?

US active tg data refers to Telegram users whose accounts are registered in the United States (or use the US +1 number segment) and have remained online or active within a certain time window (such as the past 24 hours or 7 days). Different from a simple screen that only detects “activation (registration)”, activity screening can identify real-life accounts with real usage habits, greatly improving the private message reach rate and group invitation success rate.

When facing independent websites, social apps or foreign trade customers in the North American market, operators can import numbers that have been actively tested in batches to avoid a large number of “dead numbers” wasting notification quotas. At the same time, through the age field in TG gender recognition, the core consumer group of about 25-40 years old can be further screened out. It can be said that American Telegram active data is the most direct “effective traffic pool” in the cold start stage of going overseas.

Two major pain points of repeated testing in multiple batches of screening numbers

In actual operation, most teams will not do the screening only once. You might add new numbers every week, update your customer list every month, or even serve multiple overseas customers at the same time. At this time, repeated testing becomes the culprit of “burning money”.

Pain point 1: Manual deduplication takes a long time and is easy to miss

When you use Excel to open a list of tens of thousands of numbers and try to use conditional formatting or VLOOKUP to remove duplicates, file lags, formula errors, and version confusion are commonplace. What’s more troublesome is that different batches of task results (CSV/TXT) need to be merged across files. Once you forget to import a certain historical file, the next batch of screen numbers will be deducted repeatedly. The testing cost of tens or even hundreds of yuan per hour is quickly lost during repeated tests.

Pain point 2: Different projects share one account, resulting in cross-contamination of data

Suppose you purchase US TG active numbers for two customers at the same time, and customer A’s list and customer B’s list have a 20% overlap. If you put all the numbers in one task and filter the numbers, it will be impossible to distinguish which ones belong to A and which ones to B after the results are exported. After forced separation, overlapping data may be shared between the two customers, triggering privacy and compliance risks. For agency operations/studio teams, project isolation is not only a management requirement, but also the bottom line of customer trust.

How to solve the problem of duplicate detection in cross-batch data deduplication warehouse?

The built-in “data deduplication warehouse” function of the KK-DATA platform is designed for the above scenarios. Its core logic is: Store the numbers that have been detected or to be screened in an independent warehouse, and automatically skip the numbers in the warehouse when submitting new tasks to avoid repeated deductions. The deduplication warehouse exists independently of the screening task and will not interfere with the original detection results. You can create a dedicated warehouse for each project and each customer.

Creation and import of deduplication warehouse

The operation is very simple, the typical process is as follows:

  1. Log in to Console and enter the “Data Deduplication” module.
  2. Click “New Warehouse” and fill in the warehouse name (for example, “Q2 US Active tg-A Customer”).
  3. Upload a CSV or TXT list, with one number per line (supports mobile phone number or TG ID). The platform supports the import of up to about 1 million pieces of data from a single warehouse.
  4. After confirming the upload, the warehouse will be created.

If you are using it for the first time, it is recommended to first export and import all detected numbers in history (whether hits are active or not) into the same warehouse as the “baseline deduplication library”.

Screen number task associated with deduplication warehouse

When you submit a new US Active TG screening task, in the Advanced Options or Task Configuration step:

  • Check “Enable deduplication warehouse”
  • Select the corresponding warehouse from the drop-down list

After submission, the system will automatically compare the imported numbers: if the number is already in the warehouse, it will be skipped and not detected; the remaining numbers will be detected as usual. If all numbers already exist, the task will be automatically terminated and no fees will be deducted. This way, you only pay for “new” numbers.

How to remove duplicates

The deduplication warehouse is only used for number duplication determination and does not change the detection type of the number screening task (such as active window, gender recognition, etc.). If you need to modify the detection conditions, you must create a new task.

Keep customer projects isolated: How to use deduplication warehouse to achieve multi-customer data partition?

For agency operations or studio teams, Customer data isolation is a basic requirement. Using the deduplication warehouse, you can easily implement the management model of “an independent warehouse for each customer”.

Specific methods:

  • Create a dedicated deduplication warehouse for each customer, with a naming convention such as [客户名]_[平台]_[批号] (for example, “Alice_US tg_batch number 1”).
  • Each time a screening task is submitted for this customer, only the warehouse corresponding to this customer will be associated.
  • The exported results can directly correspond to the warehouse name to avoid confusion.
  • If a customer’s number list overlaps with other customers, the overlapping parts will not be repeated in the first detection, and will be automatically skipped when subsequent customers are imported, which not only saves balances but also avoids data crossover.

Note: Currently, KK-DATA does not support custom fields (such as “Customer Notes”) in the filter number results, so relying on the deduplication warehouse for project isolation is the safest approach. If you need more detailed annotation, you can manually tag it with the warehouse name or task ID after exporting the CSV.

Best practices and precautions for using deduplication warehouses

In order to avoid operational errors, here are some key suggestions:

  • Before each number screening, import the historical detected numbers: Regardless of whether the number is active or valid, it will be stored in the corresponding warehouse. Because “already tested” is a mark in itself, there is no need to recheck it the next time it appears.
  • Warehouse naming should be standardized: the recommended format is 客户名_国家_平台_批次, such as AInc_US_TG_Batch3, to facilitate subsequent retrieval and management.
  • Regular cleaning of expired warehouses: For outdated or no longer needed numbers, the warehouse can be manually deleted in the console (the operation is irreversible). Reducing warehouse volume improves system response speed.
  • Global number generation and deduplication combined: If you use KK-DATA’s global number generation module (randomly generated in 240+ countries/regions), it is recommended to generate a large number of potential numbers at once and import them into the deduplication warehouse, and then screen the numbers. In this way, even if the generation module has a probability of producing duplicate numbers, the deduplication warehouse can automatically filter them.

Data is not recoverable

After deleting the deduplication warehouse or manually removing the numbers in it, it cannot be restored. Please confirm that the number is no longer needed before clearing it.

A quick overview of the active TG screening process in the United States (including deduplication warehouse integration)

To help you get started quickly, here is a standard process (text version):

  1. Prepare the target country number segment: If you determine that you need the US +1 number segment, you can generate or import an existing number pool through the “Global Number Generation” function of KK-DATA.
  2. Create/select a deduplicated warehouse: If you are a new customer, first create a dedicated warehouse and import historical detection numbers; if you are an old customer, directly select an existing warehouse.
  3. Submit screening task:
    • Select the detection type: Telegram activated, Telegram active (activity window can be set, such as the past 7 days).
    • If you need to filter gender, check “tg gender recognition” (you can get fields such as age, gender, avatar, etc.).
    • Enable deduplication warehouse in “Advanced Options” and associate the corresponding warehouse.
  4. Waiting for task completion: After the task is submitted, it will be queued for execution. After completion, check the status through Telegram notification or console.
  5. Export results: Select CSV or TXT format to download data files including tgid, active status, gender and other fields.

Test first and then batch

It is recommended to use a small batch of numbers (such as 100) to test your filter configuration first, and confirm that the active window and gender recognition meet expectations before officially enabling the deduplication warehouse for large-scale tasks.

Through the above steps, you can reduce the duplicate detection rate to almost zero. At the same time, each customer’s data is stored independently, and project isolation is naturally formed. Over time, the US Telegram active data you have accumulated will become purer and purer, laying the foundation for subsequent precision marketing.

FAQ

**Q: Are the numbers in the data deduplication warehouse permanently saved? ** Answer: Currently, the numbers in the deduplication warehouse will be retained for a long time and there is no automatic expiration mechanism. You can manually delete the entire repository or remove items one by one in the console. It is recommended to regularly purge data that is no longer needed to keep warehouse capacity efficient.

**Q: Can the deduplication warehouse be shared across accounts? ** Answer: No. The deduplication warehouse of each KK-DATA account is independent and cannot be directly shared across accounts. If team collaboration is required, you can use the same main account, or regularly export the warehouse list and manually merge it into other accounts.

**Q: When the TG screening number is active in the United States, will the deduplication warehouse affect the TGID export or gender identification results? ** Answer: No impact. The deduplication warehouse only determines whether the number is already in the warehouse and does not participate in the detection process. Numbers that have been stored in the database will not be checked again in the screening task, so no new tgid or gender fields will be generated. If you need these fields, be sure to export and save the results the first time you run a test.

**Q: If part of my number list has been detected but was not imported into the warehouse at that time, can it be imported now? ** Answer: Yes. You can download the CSV of historical detected numbers from the “Result Export” of previous tasks, and then upload them to the deduplication warehouse. When you subsequently submit a new screening task, you can enable this warehouse to avoid repeated deductions. Even if some numbers have expired, supplementary guidance can still function as a “detected” mark.

**Q: Can the numbers in the deduplication warehouse be used for multiple calls in the same batch? ** Answer: Yes. A deduplication warehouse can be referenced by multiple screening tasks at the same time. For example, if the same number pool needs to detect Telegram activity and WhatsApp activation respectively, you can import the numbers into a warehouse, and then create two number screening tasks respectively, both of which enable the warehouse. In this way, the same number detects Telegram in the first task, and detects WhatsApp in the second task, without interfering with each other and without repeated deductions (provided that the task types are different).


Start optimizing your US active TG screening process now, let the deduplication warehouse help you save budget, isolate projects, and focus on data analysis and conversion strategies.

👉Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot To learn more, please visit Official Website and Documentation