Large batches of US active ws number tasks: best practices for batch splitting, concurrency control and result merging

In overseas marketing, US active ws number (i.e. US active WhatsApp number) is the core data asset for private message promotion, community fans, and geographically targeted marketing. When you need to select activated and active US WS users from hundreds of thousands or even millions of numbers, directly submitting a very large list will often face problems such as timeout, difficult to manage results, and high cost of failed retries. Based on real business scenarios, this article will provide a set of implementable batch splitting, concurrency control and result merging solutions, and use the KK-DATA platform to realize task automation and efficiently complete the screening of US WS active data.

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Typical scenario of the 100,000-level American active ws number task

Cross-border sellers, independent website promotion teams and community operations often encounter the following needs:

• North American Market Private Message Promotion: Send product images, texts or promotional links in batches to 500,000 US WhatsApp accounts. The number must be valid and recently active.
• Social Fans and Geotargeting: Generate and filter out active numbers for specific cities such as New York and Los Angeles for localized community invitations.
• Multi-project concurrency for the generation operation team: Process the US WS active data lists of multiple customers at the same time, and the scale of each project ranges from tens of thousands to hundreds of thousands.

The common characteristics of these scenarios are: a large number of numbers (100,000-1 million), high accuracy requirements for US ws active data, and tight task timeliness. If scientific splitting is not carried out and millions of numbers are submitted at a time, the platform may respond slowly due to excessive data volume, or even exceed the maximum limit of a single task (KK-DATA has a single task of about 1 million); at the same time, once some numbers fail to be detected, the entire list needs to be rerun, resulting in a waste of balance.

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Why batch splitting and concurrency control are needed

How splitting granularity affects detection costs

• Planning based on platform detection speed: Different platforms have different screening speeds (for example, WhatsApp activity detection is usually slightly slower than Telegram), and the number of items that can be completed in the same time is different. If the batch is too small (for example, only 100 items are submitted each time), the total time will be lengthened; if the batch is too large (close to 1 million items), the cost of retrying after a single task fails will be high.
• Flexible adjustment based on balance: KK-DATA deducts fees by item, no subscription package. Suppose you have a balance of 200 USDT, and the unit price for active detection of a single US WS is When splitting, you should ensure that the estimated cost of each batch does not exceed 30%~50% of the balance, and leave a buffer for concurrent tasks.
• Avoid duplication and waste: After cleaning the warehouse using data deduplication, split it according to the maximum number of items allowed by the task (10,000 to 50,000 items are recommended), which can not only make full use of the single task capacity, but also facilitate accurate positioning after failure.

The relationship between concurrent tasks and balance billing

Submit multiple batches of tasks at the same time, and each task will be deducted independently. No additional fees will be incurred, but you must ensure that the total balance is sufficient to cover the estimated costs of all tasks. Before submission, the console will display the estimated deductions in real time, allowing you to adjust the number of concurrent transactions based on your balance. For example, if the balance is 200 USDT and each batch is estimated to be 5 USDT, 40 tasks can be run at the same time (actually subject to platform concurrency limitations, it is recommended to run 5~10 at the same time to leave a margin).

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How to reasonably split the list of 100,000-level numbers

Build initial list using global number generation module

KK-DATA provides 240+ country/region number random generation and global number segment generation functions. For the US Active WS Number task, you can do in the console:

1. Select “Global Number Generation” → select “United States” for the country → specify the number segment (such as +1 213 Los Angeles area code) or quantity (such as generating 300,000).
2. Export the generated results (CSV), automatically including available prefixes.
3. If you already have some of your own numbers, you can import custom number segments through CSV and merge them with the generated list.

The merged full list (such as 150,000 numbers) can be entered into the next step of splitting.

Clean duplicate numbers based on data deduplication warehouse

Before the official split, deduplication must be carried out: import all the numbers into KK-DATA’s data deduplication warehouse to generate a unique list after deduplication. This step avoids:

• The same number is detected repeatedly, which wastes the balance;
• Duplicate records when mixing generated numbers and imported numbers.

After deduplication, split the list of unique numbers into multiple CSV files according to the preset batch size (10,000 to 50,000 are recommended), and submit each file as an independent task.

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Concurrent task design and result management

Task notification to avoid omissions

KK-DATA supports notification via Telegram after task completion. Bind your TG account in the “Notification Settings” of the console (via https://t.me/kkdata_robot two-way binding), and a notification will be automatically sent after each batch is completed, including key information such as task name, number of detections, and activity ratio. This way you can export the results immediately without polling the console.

Merging ideas for result export

After each batch of tasks is completed, it can be exported independently in CSV/TXT format. The fields include mobile phone number, whether WhatsApp is opened, whether it is active, gender, etc. (Subject to the console export fields). The merging steps are as follows:

1. Batch Download: Log in to the https://app.kkdata.cc/ task list and download the results of multiple batches to a local folder.
2. Horizontal Merge: Use Excel Power Query or Python pandas to splice all CSVs according to the “mobile phone number” column as the unique key, and only keep the enabled and active rows.
3. Second deduplication: The merged list may have duplicate records due to cross-batch duplication (rarely). You can use KK-DATA’s data deduplication warehouse to clean it again, or delete duplicates directly in Excel.

Finally, a complete list of US active ws numbers is obtained (including optional fields such as active tag and gender), which can be directly used for private message promotion or community import.

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Failure retry and data integrity insurance strategy

Network fluctuations or platform limitations may cause some numbers to fail to be detected (the status displays “Not Detected” or “Error”). Failure numbers will be clearly listed in the KK-DATA task results. To avoid wasting your balance, follow:

• Resubmit failure numbers only: Export the failure list from the failed task as input to the new task. Be careful not to resubmit a successful number.
• Use the data deduplication warehouse to intercept successful numbers: Before resubmitting, first compare the new batch of number lists through the deduplication warehouse. Successful numbers will be automatically skipped to avoid repeated deductions.

For 100,000-level tasks, it is recommended to export the success list and back it up immediately after completing each round of detection, and then try again if the startup fails. If the failure rate is lower than 5%, you can directly ignore it and use the existing results; if it is higher than 10%, it is recommended to check the quality of the number source or adjust the detection period (for example, the detection success rate is higher at night in the United States).

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FAQ

**Q: How many US WS numbers can be detected at a time? ** Answer: The maximum number of KK-DATA single tasks is about 1 million. For 100,000-level tasks, it is recommended to split them into multiple small batches of 10,000 to 50,000 items to facilitate management and retry.

**Q: How to combine the results of multiple batches? ** Answer: Each task can be independently exported to CSV/TXT, and then summarized locally using data merging tools (such as Excel, Python), or all active records can be exported after unified deduplication using the platform’s data deduplication warehouse.

**Q: If some numbers fail to be detected, do I need to resubmit the entire list? ** Answer: No. Just import the failed list. Successful numbers can be automatically skipped through the data deduplication warehouse to avoid repeated deductions.

**Q: Are there any additional charges for submitting multiple batches concurrently? ** Answer: No. Each task is deducted based on the actual number of inspections. Submitting multiple tasks at the same time does not incur additional fees, but it is necessary to ensure that the total balance covers the estimated costs of all tasks.

**Q: How to ensure that the generated US number is valid and active? ** Answer: First obtain the initial list through the KK-DATA global number generation module, then deduplicate and split it, and then submit the “US active ws number” detection task (WhatsApp active detection). The active numbers filtered out can be used directly for marketing.

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After mastering the batch splitting, concurrency control and result merging methods of US Active WS Number, you can efficiently complete the screening even when facing millions of data. Log in to the console now and experience the automated task flow: 👉 Log in to the console to start filtering If you have any questions, please contact customer service in both directions: https://t.me/kkdata_robot For detailed operation documentation, see https://docs.kkdata.cc/