US WS Number Quality Assessment Guide: How to use four key indicators to determine whether a batch of US WhatsApp numbers are available

When overseas customer acquisition teams purchase or generate US WS numbers, they often face a core question: How many of these numbers can be used? Directly importing notifications into WhatsApp to send notifications will result in a large number of numbers not being activated or being inactive for a long time, which not only wastes the budget, but may also affect the account reputation due to invalid sending. This article will help you establish a US WS number quality assessment system from a practical perspective, focusing on four key indicators - efficiency, activity, repetition rate, and field integrity, analyzing each one and giving specific operation steps. Whether you are a cross-border e-commerce operator or a social promotion team, after reading this article, you will know how to judge whether a batch of US WhatsApp numbers is worth investing in.

Why do we need to evaluate the quality of US WS numbers?

US WA numbers come from various sources: crawling from public channels, generating by number segment, third-party purchase, etc. The quality of data varies greatly from source to source. If used directly without evaluation, the following problems may occur:

• High Inefficiency: A large number of numbers have not registered for WhatsApp, and the reach rate is zero.
• 低活跃度：即使号码开通，用户可能数月未上线，发消息如同石沉大海。
• Duplicate Data: The duplication rate is astonishing when multiple batches of data are merged, resulting in a waste of balance for duplicate detection.
• Lack of targeting fields: The gender and age of the number user cannot be identified, and the marketing accuracy is greatly reduced.

Therefore, spending a small amount of money to conduct a quality assessment before mass marketing can help you avoid most waste. The assessment itself is also an important reference for selecting data suppliers.

What are the four core quality indicators of US WS numbers?

以下四个指标，是评估任何一批美国WhatsApp号码时都必须关注的维度。 Each indicator corresponds to different marketing value, and one is indispensable.

Efficient - Whether the number is actually activated for WhatsApp

US WS activated numbers, only numbers registered with WhatsApp can be reached. The efficient calculation method is: the number of numbers that have activated WhatsApp ÷ the total number of detected numbers × 100%. For marketing scenarios, the higher the efficiency, the better the foundation for future reach. If the effectiveness of a batch of numbers is less than 50%, it is recommended to change the source or conduct a small batch test before deciding whether to use it on a large scale.

Activity - whether the user has been online recently

Even if the number is activated, the user may not use it for a long time. Activity detection will query the last online time of the number, and windows such as 7 days, 30 days or 90 days can usually be set. For example, filtering users who are “active within 7 days” means that these number holders have recently used WhatsApp and have a high response rate. For time-sensitive marketing activities (such as promotional notifications), high activity numbers should be given priority.

Repetition rate - whether the same number appears in multiple batches of data

When obtaining numbers from multiple suppliers or generating multiple batches of numbers yourself, the duplication rate may be as high as 30% or more. Duplicate data not only wastes detection quota, but also interferes with analysis during subsequent export.例如，同一号码出现在两批数据中，会导致重复触达，引起用户反感。 Therefore, duplication must be removed before merging.

字段完整性 —— 能否获取性别、年龄等辅助标签

Field integrity refers to how much auxiliary information can be attached to the number after detection, such as gender (male/female), age range, avatar, region, etc. These fields help you with targeted filtering. For example, if you want to push products to “males around 30 years old” in US WS Number, you need field integrity support. It should be noted that the age field is a predicted value rather than a precise value, but it is sufficient as a reference for population screening.

---

Metrics	Core Meaning	Impact on Marketing
Efficiency	Whether the number is enabled for WhatsApp	Determine whether there is a basis for contact
Activity	Whether the user has been online recently	Determine the probability of interaction
Repetition rate	Degree of number duplication across batches	Determines cost and data quality
Field integrity	Whether to obtain gender/age, etc.	Determine targeting accuracy

How to check the activation status of US WS number?

Batch testing whether the US WA number has WhatsApp enabled is the first step in quality assessment. The following is the standard process:

1. Prepare the number list: Organize the numbers to be detected into TXT or CSV format, with one complete number per line (including international area code, such as +1xxxxxxxxxx).
2. Submit detection task: Log in to the screening platform (such as KK-DATA console), select “WhatsApp activation detection”, upload the number list, and set task parameters.
3. Waiting for task completion: The system will automatically scan whether each number is registered with WhatsApp. The platform supports detecting millions of numbers at the same time (up to about 1 million at a time), and will be notified through Telegram when completed.
4. View results: Download the result file, which usually contains two status fields: “valid” and “invalid”. Unique identifiers such as tgid or wsid of the number can also be exported for subsequent in-depth analysis.

How to analyze the activity of US WS numbers?

Activity detection is the key to screening high-value users. The standard steps are as follows:

• Set activity window: When submitting a detection task, select the activity detection item. Common windows include “active in the past 7 days”, “active in the past 30 days” and “active in the past 90 days”. If your marketing cycle is short (such as limited-time discounts), you can choose to be active for 7 days; if it is a long-term operation (such as community invitations), you can choose to be active for 30 days.
• View activity rate: After the task is completed, view the proportion of active users. For example, 60% of a batch of valid numbers are “active in the past 30 days”, indicating that this group of users is of high value.
• Filtered Export: Export data based on activity tags, and then only push data to highly active numbers.

Note: Liveness detection does not send any message to the user, it only queries the last online timestamp exposed, so it will not disturb the user.

How to identify and remove duplicate US WS numbers?

The duplicate number problem exists in almost all cross-batch data. Based on experience, if you purchase the same country number from two different sources, the duplication rate may be as high as 20%-40%. The following is the deduplication process:

1. Merge All Numbers: Summarize different batches of US WhatsApp numbers into one file.
2. Use the deduplication tool: Log in to your screening platform and enter the “Data Deduplication Warehouse” module. Upload the merged files and the system will automatically identify duplicate numbers and mark them.
3. Confirm deduplication results: Check the number of unique numbers after deduplication. If there were originally 1 million items and only 700,000 items remained after deduplication, the duplication rate would be 30%.
4. Export unique data: Export only the number list after removing duplicates, and then submit the detection task. This avoids repeated charges for the same number.

How to leverage field integrity (gender/age) to optimize marketing targeting for US WS numbers?

Field integrity transforms data from “a bunch of numbers” into “tagged user portraits”. Here’s how to use these fields to improve accuracy:

• Gender filtering: If your product is aimed at men (such as men’s skin care products), you can filter the numbers that result in “male”; if your product is aimed at women (such as beauty products), filter for “female”. Both Line and WhatsApp support gender detection (subject to console export).
• Age Filter: Although the age field is a predicted value, it can be used as a range reference. For example, filter users aged 25-35, and then further check their activity levels. After combination, we can get the precise audience of “men aged 25-35, active in the past 30 days”.
• Other fields: Some platforms also support avatar detection and region recognition. For example, you can filter for numbers that “have a profile picture,” which usually means the account is more active.

Example scenario: You are an overseas men’s clothing brand and want to push new product notifications to men in their 30s in the United States. You can do this:

1. Submit a batch of US WS number detection tasks, and check “Enable detection”, “Activity detection (last 30 days)” and “Gender and age detection”.
2. After the results are exported, the filtering conditions are: valid + active in the past 30 days + male + age 28-35.
3. Obtain the final target number list for issuing coupons or inviting to join brand groups.

Common misunderstandings and precautions in US WS number quality assessment

The following are some typical mistakes and the corresponding correct practices:

• Only look at the efficiency, ignore the activity: An efficiency of 80% may look beautiful, but only 30% of the users may have been online in the past month. Activity is the key to determining interaction rate.
• Direct detection of duplicate data without processing: This will lead to repeated deductions, and the same user will receive multiple messages during subsequent pushes, resulting in a very poor experience.
• Blindly trust the 100% accuracy of the field: Age is a predicted value, not ID data; gender may also be empty due to the user’s undisclosed information. Use fields as references rather than absolute judgments.
• Insufficient small batch testing: It is recommended that every time you obtain data from a new supplier, you should test 1000-5000 items first, and then decide whether to purchase in bulk after evaluating the effectiveness, activity rate, and field integrity.
• Ignore Number Expiration: Even if a number is currently valid, it may expire in a few weeks. It is recommended to recheck high-value numbers regularly to maintain data freshness.

FAQ

Q: What is the validity rate for a US WS number to be considered qualified? Answer: There is no absolute standard. Usually the efficiency of data from reliable sources can reach 70%-90%; if it is lower than 50%, it is recommended to change the source or test in small batches first.

Q: Will activity detection disturb number users? Answer: No. Activity detection only queries the last online timestamp of the account and does not send any messages or notifications.

Q: How to cross-compare the duplication rate of different batches of US WhatsApp numbers? Answer: All numbers can be imported into a data warehouse with deduplication function (such as KK-DATA’s deduplication warehouse), and the system will automatically identify duplicate records.

Q: Is the “Age” data in the field accurate? Is it reliable to target 30-year-olds? Answer: Age is a predicted value rather than ID card-level data. It can usually be used as a reference for crowd screening. It is recommended to combine it with other tags for comprehensive judgment.

Q: After a batch of numbers are tested, what does it mean if the “Gender” field is empty? Answer: Maybe the account has not disclosed gender information or the platform cannot parse it. It is recommended to use it in conjunction with the “valid” or “active” indicator.

---

Through the above four core indicators - efficiency, activity, repetition rate, and field integrity, you can systematically evaluate the quality of any batch of US ws numbers and avoid blind investment. In actual operation, first conduct small batch testing, and then use the one-stop detection and deduplication function of the screening tool to quickly screen out high-value users. If you are looking for a platform that integrates number generation, social number screening, data deduplication and supports billing by item, you may wish to start with KK-DATA.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For more usage details, please refer to the document: https://docs.kkdata.cc/