American WhatsApp Number Field Dictionary: How to interpret number status, activity, gender and platform ID

In US WhatsApp customer acquisition, the filter number result field dictionary is the key bridge connecting the original number collection and the executable marketing list. Many teams have obtained batches of U.S. WhatsApp number data, but cannot understand what fields such as “activated”, “active”, and “gender” represent, resulting in low screening efficiency and waste of access costs.

This article breaks down the common field meanings of US WhatsApp numbers in the KK-DATA filter results field by field, helping you quickly identify US WhatsApp numbers, determine activity, target target groups, and make good use of platform IDs (wsid) to achieve data reuse.

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What is the US WhatsApp Number Field Dictionary?

The field dictionary is the structured tag set returned by the number screening platform after detecting each number. A standard field dictionary can tell you:

• Whether this number is registered with WhatsApp (activated/not activated)
• Whether you were online in the last 7/15/30 days (activity)
• Account avatar, nickname, gender, age and other inferred information
• The user’s unique platform identifier (wsid)

The overseas marketing team uses these fields as “filters” to quickly locate target data that is reachable, highly active, and consistent with the profile from millions of U.S. numbers. US WhatsApp Number Field Dictionary is the standard language for bulk customer acquisition - only by understanding it can the data serve you.

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Basic status fields of US WhatsApp numbers: activated or not activated

How to determine the activation status?

The detection logic of KK-DATA is: send an invisible signaling request to the target number. If a registration confirmation response is received, it will be marked as “activated” (True); otherwise, it will be marked as “not activated” (False). The essence of “activating” is to confirm that the number has registered an account in WhatsApp.

Note: Unactivated numbers cannot be used for private message marketing because the other party does not have a WhatsApp account at all. These numbers should be filtered directly, otherwise detection balance and subsequent reach costs will be wasted.

The actual impact of activation status on US WhatsApp data screening

In actual projects, “US WhatsApp number has been activated” is the first threshold for all customer acquisition processes. Suppose you have 100,000 U.S. mobile phone numbers on hand. First, filter out the numbers whose activation status is True (usually the proportion is between 40% and 70%), and then perform the next step of filtering on this batch of numbers, which can greatly reduce the proportion of invalid data.

Recommended Action:

1. Set “Activate=True” in the filter
2. Only keep True numbers when exporting
3. Use this batch of numbers as a “basic pool” for subsequent activity and gender screening

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Activity field of US WhatsApp numbers: How to determine whether the number is actively used?

The activity field is the key indicator to distinguish between “silent accounts” and “active users”. Many teams think that “opening” means they can be reached, but in fact the other party has not been online for three months after sending, resulting in an extremely low open rate.

Active window and decision logic

KK-DATA’s activity detection supports specified time windows. Common options are 7 days active, 15 days active, and 30 days active. The detection principle is to analyze the difference between the last online time of the number and the current time. For example, “7 days active” means that the number has logged into WhatsApp at least once in the last 7 days.

The activity field is usually presented in the form of “Active_7d”, “Active_15d”, “Active_30d”, etc., with values ​​of True/False.

How to combine activation and active fields?

Filter conditions	Result data characteristics	Applicable scenarios
Activation=True	All registered numbers	Long-term reach, brand promotion
Activation=True + Active for 7 days=True	Recently active high-quality numbers	Instant marketing and event notifications
Activated = True + Active for 30 days = True	Number used within 1 month	Normal contact, gentle follow-up

Best Practice: Prioritize numbers with “Activation=True + Active for 7 Days=True” to achieve the highest reach rate.

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Gender and age fields for US WhatsApp numbers: How to filter the target group?

Gender and age fields provide auxiliary basis for population targeting. KK-DATA uses models to infer gender and age based on account public information (nickname, avatar, self-introduction, etc.). These fields are not ID card level accurate, but they can help you quickly narrow down the target range in large-scale screening.

How are “male” and “female” determined in the gender field?

Gender inference is based on the public information of the account (for example, the avatar has a male face, the nickname contains the word “male”, etc.). The accuracy rate can reach more than 80% in most scenarios, but there are misjudgments (for example, couple avatars are classified as female, and neutral styles are marked as unknown). It is recommended to use gender as an auxiliary condition and not rely solely on it.

Can the age field be accurate to a specific age?

The age field displays approximate values ​​calculated by the model, such as “about 30 years old” and “about 25 years old”. It is not precise to a specific date of birth and cannot be used for age verification required by federal regulations. Fair purpose: When you need to launch products for “working people around 30 years old”, you can filter the numbers whose age field is in the “25-35” range as a preliminary group stratification.

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What is the platform ID (wsid) field for US WhatsApp numbers? What’s the value?

The wsid is a unique user identifier assigned to each account by WhatsApp (similar to Telegram’s tgid). The exported wsid can be used for:

• Cross-task deduplication: In different batches of screen number results, merge data through wsid to avoid repeated exposure to the same user
• Secondary filtering: Import wsid into the local database and combine historical behavior for more detailed grouping
• Cross-platform association: If other platforms (such as Telegram) are screened at the same time, the multi-platform behavior of the same user can be inferred through uid

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How to optimize your US WhatsApp data filtering workflow through field dictionary?

Combined with the complete functions of KK-DATA, the following pipeline is recommended:

1. Number generation: Use the global number generation module (free) to generate a batch of US mobile phone numbers according to the number segment.
2. First Screening: Submit the task and select “Activate + Active for 7 Days” test
3. Field filter: Filter 开通=True and 活跃7天=True on the results page
4. Crowd segmentation: If you need to target female users, then overlay 性别=女性
5. Export and deduplicate: Export CSV or TXT, deduplicate the wsid field and use it for marketing
6. Periodic re-screening: Re-screen old data every 1-2 weeks to keep the data fresh.

All done within the App Console (https://app.kkdata.cc/), no coding required.

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Common misunderstandings and pitfall avoidance guides in using the WhatsApp number field in the United States

Misunderstanding	Correct approach
”Activation=True” equals “active”	Activation only represents registration, and activity needs to be detected separately
Gender field is 100% accurate	Gender is an inferred result, it is recommended to verify it in combination with other fields
The age field can be accurate to the specific age	The age is an approximate range and cannot be used for identity verification
After one screen, the data is permanently valid	The number status will change, it is recommended to recheck regularly
All U.S. number segments have the same effect	The registration rate and activity of different number segments (such as mobile phone numbers and virtual number segments) vary greatly. It is recommended to test with different number segments first

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FAQ

**Q: If the “Activation” field of a US WhatsApp number shows True, does it mean that the number is 100% valid? ** Answer: Not equal. True means that the number has registered a WhatsApp account, but the number may become invalid later due to the other party canceling or blocking the account. It is recommended to re-screen numbers regularly to obtain the latest data status.

**Q: How accurate is the gender field for US WhatsApp numbers? ** Answer: The gender field is inferred based on the data model, and the accuracy is usually high but cannot reach ID card level. It is recommended to use it as an auxiliary screening tool in combination with fields such as activity level and age to improve the matching of target groups.

**Q: The wsid field is exported, but I don’t know how to use it? ** Answer: wsid (WhatsApp user’s unique ID) can be used to deduplicate data to avoid repeated exposure to the same user; it can also be used for cross-task association to identify multiple data changes for the same user. It is recommended to save it to a local database for secondary processing.

**Q: When screening US WhatsApp numbers, should you look at “activated” or “active” first? ** Answer: Prioritize the screening of numbers with activation status of True, and then screen the numbers that meet the active window (such as active within 7 days/30 days) from this batch of data. This will not only ensure that the number is valid, but also improve the reach rate.

**Q: In the filter result of KK-DATA, can the age field accurately display the specific age? ** Answer: The age field shows an approximate value calculated by the model (such as about 30 years old), not the exact age at the ID card level. It is recommended for rough population stratification, and it is not recommended to rely on this field for precise age targeting.

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Immediately experience the complete field dictionary of US WhatsApp numbers in the KK-DATA console and start the efficient screening process:

👉 Log in to the console to start screening numbers Two-way contact customer service: @kkdata_robot View the complete usage documentation: https://docs.kkdata.cc/ Official website to learn more: https://kkdata.cc/