How to dismantle the 100,000-level American WS active data task? Complete guide to batching, deduplication and exporting

When the overseas marketing team acquires target users in the United States, US ws active data is the core material for private message promotion and community operations. The “active data” mentioned here is not simply activation detection, but refers to the numbers that have been detected and still have WhatsApp online behavior within a specified time window (such as 7 days or 30 days). For marketers, an active number means a higher reach rate and conversion possibility, which is far better than a number that is “only activated but not often online”.

When you have hundreds of thousands or even millions of US numbers and need to verify US WhatsApp active data in batches, if you directly stuff all the numbers into one task, it is easy to encounter problems such as task timeout, failure midway, and wasted balance. Today’s article will dismantle: How to scientifically split batches of a 100,000-level US WA active number task, use the deduplication mechanism to save costs, and automate configuration notifications and exports.

---

What is US ws active data? Why does the overseas team need it?

US ws active data, often called US WhatsApp Active Numbers in English, refers to WhatsApp numbers that have been screened by the platform and confirmed to be within the US area code and have been active in the recent past (such as 7 days/30 days).

Its core value is:

• Precise Reach: Active numbers have a higher probability of being seen by users during delivery, reducing the amount of invalid messages.
• Reduce the risk of account ban: Frequently sending messages to inactive or abandoned numbers can easily trigger WhatsApp’s risk control mechanism.
• Improve ROI: Reduce the cost and waste of sending promotional content to dead accounts, so that every budget can be spent on active users.

The activity detection of the KK-DATA platform supports customizing the activity window. You can select options such as “Active in the last 7 days” or “Active in the last 30 days” when creating a task, and the platform will return the corresponding fields based on our detection logic. Whether it is cross-border e-commerce promotion or community recruitment, an efficient user reach plan can be built on this basis.

---

What pitfalls will be encountered in the 100,000-level American WA active number task?

Submit hundreds of thousands of numbers directly into one task. Common problems include:

• A single task is too large, resulting in timeout or failure: Although the platform supports up to about 1 million numbers, if network fluctuations or local errors occur during the processing of extremely large tasks, the cost of re-running will be higher.
• Duplicate numbers consume balance: If there are duplicate numbers in the number pool, fees will be deducted for each detection, which will increase unnecessary expenses.
• Confusing results export: A single task outputs tens of thousands of rows of data, and with multiple fields (such as number, activation status, active status, gender, etc.), subsequent screening will be more time-consuming.
• Unable to track progress: There is no notification when the task is completed, and it is a waste of time to refresh the console back and forth.

Let’s solve them one by one.

---

How to split large batch tasks into reasonable batches?

For the 100,000-level US WA active number task, it is recommended that each batch be controlled between 10,000 and 50,000. This can not only make full use of platform capabilities, but also reduce the impact of a single failure. There are two specific splitting methods:

Split by file size

1. Use a text segmentation tool or script to split the original number file (such as CSV or TXT) into several sub-files, each containing 10,000 to 50,000 lines.
2. Upload each sub-file to the KK-DATA console to submit the screening task.
3. Tasks run independently. Even if a batch fails, it only affects that batch and does not affect other completed batches.

Suitable scenario: Numbers come from a single source and the active window requirements are consistent, and only need to be batched according to quantity.

Split by time window or source

If the numbers come from different channels, or you want to compare the performance of different active windows, it is recommended to split by source or window:

• A channel submits a “7-day active” test, B channel another batch of “7-day active” tests, and compares the activity rate.
• If the same batch of numbers needs to be detected for 7 days and 30 days of activity at the same time, it can be understood as two independent tasks and submitted separately.

The advantage of this split is that it facilitates subsequent comparative analysis of the user activity quality of each channel, which can be used to optimize advertising strategies.

---

Why is data deduplication important? How to achieve?

Duplicate numbers are the number one cause of wasted balance. Suppose you have 100,000 numbers, of which 20,000 are duplicates. In fact, you only need to screen 80,000 numbers. If you directly submit 100,000 tasks, you will be deducted 20,000 times in vain.

Deduplication before submission and cross-task deduplication

It is recommended to adopt a “double insurance” strategy:

• Deduplication before submission: Use Excel’s “Remove Duplicates” function or a script to deduplicate the original file.
• Cross-task deduplication: KK-DATA’s data deduplication warehouse will automatically compare historical tasks, and the numbers that have been detected will no longer be billed in new tasks. It is recommended to check for plagiarism before each submission, especially when the number segments in different batches overlap.

Deduplication strategy in the generation + filtering scenario

If you use the “Global Number Generation” function to generate a US number segment, the generation itself is free, but the screening is charged on a per-item basis. If the same number segment is generated and filtered multiple times, the deduplication warehouse can intercept the filtered numbers to avoid secondary deductions. In practice, it is recommended to generate a batch of numbers first, submit them for screening, and then exclude this batch of screened numbers from subsequent generation tasks, or let the deduplication warehouse process them automatically.

---

How to configure task notification and result export to be more efficient?

Set task completion notification (Telegram)

After binding your Telegram account on the console, you can receive instant push notifications when tasks are completed. This is especially convenient when working with multiple asynchronous batches:

1. Log in to Application Console
2. Enter “Notification Settings” to bind Telegram
3. After submitting the task, there is no need to refresh the page repeatedly, just wait for the notification

Export field selection and format selection

When exporting, it is recommended to select fields as needed to avoid generating excessively large redundant files. Taking US ws active data as an example, the common field configuration scheme is as follows:

Field	Required or not	Description
Number	Required	Original number
Activation status	Required	Whether to register for WhatsApp
Active status	Required	Whether active within the specified window
Gender	Optional	Gender identification result (supported by some platforms)
Age	Optional	Age field, can be used to filter people around 30 years old, etc.
wsid	Optional	WhatsApp ID (if further analysis is required)

In terms of format, CSV has the widest compatibility, and TXT is suitable for direct import into mass sending tools. If you want to use Excel for data analysis later, it is recommended to export CSV.

---

From number preparation to export: a complete operation flow chart

Taking 100,000 U.S. numbers as an example, the recommended closed-loop operation is as follows:

1. Prepare numbers: Organize or use the number generation function to generate 5 files, each with 20,000 entries.
2. Deduplication and Checking: Use the data deduplication warehouse to detect whether each file has a screened number and eliminate duplicates.
3. Submit in batches: Submit 5 files separately to the “US WhatsApp Activity Detection” task, and select 7 days for the active window.
4. Waiting for notification: Bind Telegram and wait for the task to be pushed when completed.
5. Export results: Export CSV in each batch, retaining only the number + active status + gender fields.
6. Merge and remove duplicates: Merge the 5 results and remove duplicates again (to prevent a small amount of duplication across batches).
7. Final export: Get a complete list of US ws active data, which can be put into the mass sending tool.

---

Best practices and considerations

• Don’t be greedy for more in batches: 10,000 to 50,000 items per batch is the optimal balance point. When a single batch exceeds 100,000 items, it is recommended to split it into smaller batches.
• Sufficient balance reserve: Check the estimated cost on the console before submitting the task; the task cannot be submitted when the balance is insufficient. For the specific unit price, please see Console Real-time Price.
• Regular cleaning of the deduplication warehouse: Although the warehouse will be automatically compared, it is recommended to manually check it once a quarter to ensure that performance will not be affected by too many historical records.
• Anti-fraud query: Look for the official Telegram customer service @kkdata_robot and @kkdata_cc, and do not trust low-cost screening services from strangers.
• Do not make up unit prices: All prices are based on the official website and console display, no specific figures are made up.

---

FAQ

Question: How is “active” defined in the US ws active data?

Answer: Active means that a WhatsApp number has records of online behavior within a specified time window (such as 7 days or 30 days). You can customize the active window when submitting a task, and the platform returns to the “active” status based on this window. Note that this is not real-time online detection, but a judgment based on historical data.

Question: The U.S. phone numbers I have come from different channels. Can I screen them all at once?

Answer: Yes, but it is recommended to submit in batches according to source. This has two advantages: first, you can compare the user activity rates of different channels and optimize the delivery strategy; second, if the data quality of a certain channel is poor, it will not affect the processing results of other batches.

Question: If a batch of tasks fails midway, will the fee be deducted?

Answer: No. KK-DATA’s billing is based on deducting the balance after the task is completed. If the task fails due to network or other reasons, you will not incur any charges and can resubmit.

Question: I want to screen the active data of WhatsApp and Telegram at the same time. Is the price the same?

Answer: The unit prices for different platforms and different detection types are different. Please refer to the real-time price of the console for the unit price of WhatsApp activity detection and Telegram activation/activity detection. You can also check the estimated cost before submitting the task and confirm it before executing it.

Question: How long ago can the data deduplication warehouse process task records?

Answer: The deduplication warehouse will retain the detection results of all your historical tasks. As long as a number has been successfully detected in any previous task, it will be automatically marked as “screened” when it appears again in a new task and will no longer be billed. It is recommended that you log in to the Application Console regularly to view the deduplication records.

---

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