How to efficiently obtain active US WS numbers in a multi-client scenario? Practical combat on deduplication, naming, acceptance and archiving by project

As a core member of the agency operation team, you may have to handle the marketing needs of 3 to 5 different customers at the same time every day. Every customer needs an accurate US active ws number—that is, a US number that has been tested for WhatsApp activation and is active and truly reachable. But problems also arise: the number segment submitted by customer A, the self-prepared list provided by customer B, the urgent order requested by customer C…all the tasks are mixed together, and cross-contamination may occur if you are not careful, resulting in chaotic data delivery, serious duplication of testing, and even complaints from customers.

This article starts from the actual perspective of the agent operation team and systematically sorts out a set of multi-project separation process based on the KK-DATA platform, including number generation, active screening, data deduplication, standardized naming, and archiving acceptance, so that you can completely get rid of the dilemma of “American WS active data management chaos”.

The core pain points of obtaining active WS numbers in the United States on behalf of the operation team

In real agent operation scenarios, the following problems are encountered almost every day:

1. Number confusion and data pollution: Number segments and filtering results of different customers are mixed. For example, a number has been tested in customer A’s task and is repeatedly submitted in customer B’s new task. Not only is the balance wasted, but customer B’s number may also be marked prematurely due to customer A’s delivery strategy.
2. Duplicate detection leads to out-of-control costs: The agency operation team often cannot track the detection history of each number. The same US Active WhatsApp Number may be detected repeatedly in multiple tasks, and charges will be deducted each time. The final bill is terrifyingly high.
3. Confusing naming leads to delivery disputes: Export files are often named “output.csv” or the default time. After a week, it is impossible to tell which file corresponds to which customer. After a delivery error, it takes a lot of time to trace back.
4. Lack of acceptance criteria: Customers require “active”, but what is the activity rate to be considered qualified? Does the export field include wsid and gender? Inconsistencies in cognition between the two parties resulted in repeated rework.

These problems may seem trivial, but cumulatively they can seriously slow down your delivery efficiency. A standardized process is more important than any tool.

Generation and screening process based on KK-DATA: from number generation to US activity detection

KK-DATA provides a complete “Generate → Filter → Deduplicate → Export” tool chain. The key point is that generation is free and screening is billed on a per-item basis. For agency operation teams that need a large number of US active WS numbers, it is recommended to use the generation module to generate the target number segment first, and then perform precise screening.

Global number generation: select US number segment and custom import

Enter the “Number Generation” module of KK-DATA Console. You can obtain the US number segment in two ways:

• Random generation: Select the country area as “United States”, and the system will automatically generate random numbers according to the local number segment allocation rules. This method is suitable for scenarios where you don’t have a specific number range and just want to quickly obtain a batch of US numbers.
• Custom Import: If you have number segment files obtained from other channels (such as CSV of tens of thousands of numbers obtained from a specific operator), you can import the numbers into the system through the “Upload CSV” function. The generation process is completely free and does not consume any balance.

After the generation is complete, you will get a list file containing a large number of US numbers. These numbers have not yet been verified to have WhatsApp activated, and the fees will be deducted in the next step.

Active WhatsApp number screening: Configure detection type and estimated cost

Once you have the list of numbers, create a new task in the filter task module:

1. Select Platform: Select WhatsApp.
2. Configure detection type: Check “Activate” and “Active”. The results output in this way only include numbers that are registered on WhatsApp and have been active recently, which are truly available US active ws numbers.
3. Upload number: Import the number from the generated result, or paste the number segment.
4. Estimated cost: The system will display the estimated deduction amount before submitting the task to let you know the approximate cost of the task.

After submission, the task enters the queue. After completion, a notification will be triggered (it is recommended to bind the customer service Telegram robot to receive it in real time), and then you can directly export the filtering results in CSV or TXT format.

Data deduplication in multi-client scenarios: How to avoid duplication of active US ws data

For the agent operation team, removal of duplication is the core link of cost control. KK-DATA provides a “data deduplication warehouse” function that can achieve number-level deduplication across tasks and customers.

Working principle and configuration of deduplication warehouse

The deduplication warehouse performs comparison based on the hash value of the number. When you enable the deduplication warehouse, the platform will automatically check whether the number has been recorded in the warehouse before submitting a new screening task. If the number already exists in the warehouse, the number will not be checked again, thus avoiding repeated deductions.

Configuration method: In the “Data Deduplication” menu of the console, create an independent deduplication warehouse for each customer. Each warehouse can set a project label (such as “ClientA”, “ClientB”) to facilitate management.

Cross-customer deduplication operation steps (export→warehouse→associate new tasks)

The actual operation process is as follows:

1. Export data for detected customers: Suppose you have just completed the “US Active WS Numbers” filtering task for Customer A and got about 5,000 active numbers. Export these numbers to CSV.
2. Inbound deduplication warehouse: Import the exported number into the deduplication warehouse corresponding to customer A. This step will not deduct fees again, it will just mark the number as “processed”.
3. Check the warehouse when creating a task for a new customer: Now we want to perform a new US active detection for customer B. When creating a task, select customer A’s deduplication warehouse in the “Deduplication Warehouse” option. The system will automatically skip those numbers that have been processed by customer A. If customer B’s number range overlaps with customer A’s, the overlapping part will not be re-detected and charged.

Number list naming and archiving specifications: improve the efficiency of multi-project management

Even if deduplication is done well, naming confusion can still make the delivery process painful. A set of simple and implementable specifications is very important.

Naming convention example

It is recommended to use the unified format: 项目名_国家_平台_检测类型_日期.

Example:

File name	Meaning
ClientA_US_WhatsApp_Active_2025-04-01	Customer A, United States, WhatsApp platform, active detection, April 1, 2025
ClientB_US_WhatsApp_Open_2025-04-05	Customer B, United States, WhatsApp platform, only open for testing, April 5, 2025
ClientC_US_WhatsApp_Active_Female_2025-04-10	Customer C, United States, WhatsApp platform, active + female gender screening, April 10, 2025

Note: If the filtering results also include fields such as gender, age, etc., it is recommended to note “_WithGender” in the file name to facilitate subsequent reference.

Archiving strategy: classified storage by customer + time tag

Create a local or cloud folder structure, such as:

/代运营项目/
├─ 客户A/
│  ├─ 美国ws活跃数据/
│  │  ├─ 2025Q1/
│  │  └─ 2025Q2/
│  └─ 其他筛选/
│      └─ ...
├─ 客户B/
│  ├─ 美国ws活跃数据/
│  └─ ...
└─ 客户C/
    └─ ...

At the same time, in the task list of the KK-DATA console, you can add “notes” or “project tags” to each task, so that you can review historical tasks directly on the platform in the future without having to go through local files.

Acceptance criteria: How to confirm that the US active ws number meets customer requirements

Before delivering to the customer, it is recommended to confirm one by one according to the following checklist:

1. Number: Does the actual number of active numbers exported reach the goal agreed by the customer (for example: the customer requires 10,000 US active ws numbers, is the final export close?). If it is much lower than expected, there may be a problem with the number segment selection or the activity rate is too low.
2. Activity rate: Check the proportion of “active” fields in the filter results. The activity rate of WhatsApp is generally between 30% and 60% (depending on the number segment and active window definition). If the activity rate of some number segments is extremely low (for example, less than 10%), it is recommended to regenerate or import other number segments.
3. Export field integrity: Confirm that the exported CSV contains the fields required by the customer. For example, if the customer requires wsid (WhatsApp user ID) and avatar link, then these fields must be checked when exporting. KK-DATA’s export module supports custom field combinations.
4. Matching with customer needs: If the customer specifies gender (such as only female users) or age range (such as people around 30 years old), gender detection must be turned on in the screening task, and the distribution of this field must be checked before delivery to see if it meets expectations.
5. File format and deliverable list: Confirm whether the export format is CSV or TXT, the file is free of garbled characters, and the number of lines is consistent with the filtering results. It is recommended to attach a short explanatory document to inform customers of the generation method, screening type, date and other information of this batch of numbers.

Common mistakes and best practices

When the agent operation team uses the screening platform, the most common mistakes and corresponding solutions are as follows:

Common Mistakes	Consequences	Best Practices
Forgot to use the deduplication warehouse	The same number is detected multiple times, the membership fee is doubled	Before submitting each task, check whether the corresponding customer’s deduplication warehouse has been associated
Name without date	Corresponding data cannot be found after one week	Uniformly use the “Customer Name_Country_Platform_Type_Date” format
Submit a large task without checking the balance	The task submission fails, or the balance is insufficient and stops midway	Calculate the estimated cost first and ensure that the balance is sufficient before submitting
Different customers use the same deduplication pool	Customer A’s detected number is mistakenly used by customer B	Each customer creates an independent deduplication warehouse and uses project tags to isolate
Ignore the active window	The definition of “active” required by the customer is inconsistent with the system	Confirm with the customer in advance: Is the active window 7 days, 14 days or 30 days? Select the corresponding option in the detection type

In addition, in terms of security: it is recommended to bind the official two-way contact robot to have task completion notifications sent to your Telegram; at the same time, the account balance is sensitive, so do not disclose recharge information to unofficial accounts.

FAQ

**Q: How does the agency operation team ensure that the US ws active data of customer A and customer B are not mixed? **

Answer: The key is independent deduplication warehouse + independent naming convention. Create an independent deduplication warehouse for each customer. When exporting, use the format “Customer Name_Country_Platform_Type_Date” to name the file, and create folder archives by customer. In this way, even if two customers run tasks at the same time, the data can be fully isolated.

**Q: What is the general activity rate of active ws numbers in the United States? How to increase activity rate? **

Answer: The WhatsApp activity rate varies depending on the number segment and active window, usually between 30% and 60%. If you want to increase the activity rate, you can: 1) choose a higher-quality number segment (such as a big city number segment); 2) set a more active window when filtering (such as selecting “active within 7 days” instead of “active within 30 days”); 3) further filter by combining gender detection. Note: The shorter the active window, the smaller the number of output numbers, which requires a trade-off between quantity and quality.

**Q: When using KK-DATA on behalf of the operations team, how is the cost calculated? Can statistics be broken down by project? **

Answer: The fee will be deducted based on the number of tests. Generating the number is free, and the fee will be deducted only after screening. For the current unit price, please refer to the [official website billing page] (https://kkdata.cc/billing/) or the real-time price on the console. You can add project tags to each task and view historical consumption by tag in the background to facilitate reconciliation by project.

**Q: I helped a client detect 20,000 US WS numbers, but the client doesn’t agree with the definition of “active”. What should I do? **

Answer: It is recommended to clearly agree with the customer before starting: what is “active”? Is it online within 7 days, or is it active within 30 days? Then select the matching option in the detection type of KK-DATA. The delivery comes with a description of the detection parameters (for example, “using a 7-day active window, the activity rate is 34%”) to facilitate customers’ understanding of data quality.

**Q: If the number lists of different customers overlap a lot, how to completely eliminate the waste of repeated testing? **

Answer: Use KK-DATA’s data deduplication warehouse function. It is best to build a separate deduplication warehouse for each customer, but if you want to deal with multiple customers and their number ranges are highly overlapping, you can also create a shared warehouse (with the customer’s informed consent). Note: Once the shared warehouse is enabled, the numbers of all tasks will be mutually exclusive. Be sure to confirm that the business allows this kind of data sharing.

---

👉 Log in to the console to start screening numbers Contact customer service in both directions: https://t.me/kkdata_robot For more usage details, please refer to Official Documentation.