U.S. WA number field description: status, activity, gender, age and platform ID interpretation
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US WA number field description: status, activity, gender, age and platform ID interpretation
In overseas marketing, US WA number is one of the golden channels to reach North American users. After receiving the data exported by the screening tool, many teams are faced with rows of fields (such as wa_status, wa_active, gender, age, wa_uid) but do not know how to interpret them. As a result, the screened targets are mixed with a large number of invalid numbers, and marketing costs remain high.
This article breaks down the core fields in the US WA Number screening results one by one to help you understand the meaning of each column of data, so that the data is not just numbers, but executable customer acquisition resources.
What is the US WA number field? Why do I need to know field descriptions?
After conducting WhatsApp detection on US mobile phone numbers through screening platforms such as KK-DATA, the exported CSV or TXT file contains multiple fields. These fields record the status, activity, user portrait and platform identification of each number at the time of detection.
Why is it important to know them?
- Avoid invalid delivery: Sending messages with an “invalid” number is a waste of money and may even trigger account ban.
- Precise targeting: Use the combination of “activity + gender + age” to find users who really want to communicate.
- Data Reuse: Establish your own high-value user database through platform ID (UID) deduplication and association.
Next, we take the most common field names as examples and explain them one by one.
List of core fields of US WA numbers
The following table lists common fields in your exported files and their uses:
| Field name | Type | Description |
|---|---|---|
| phone_number | Original data | Imported mobile phone number, international format (such as +1xxxxxxxxxx) |
| wa_status | Detection field | The number’s registration status in WhatsApp: valid/invalid/unknown |
| wa_active | Detection field | Activity level: high/medium/low/inactive |
| gender | Detection field | User gender: male/female/unknown |
| age | detection field | user age group (such as 25-30) or specific age |
| wa_uid | Detection field | WhatsApp unique internal ID of the user |
| wa_name | Detection field | User nickname (optional for some tasks) |
Pay attention to distinguishing between “original data” (the number you uploaded) and “detection fields” (platform detection results). Only when used in combination can high-value targets be screened out.
Number status (wa_status) field
This is the most basic judgment. Commonly used values:
- Valid: The number has been registered with WhatsApp and can be detected normally in the near future. This type of number can send messages immediately.
- invalid: The number is not registered with WhatsApp, or the format is wrong, or the number segment does not exist.
- Unknown: Unable to determine due to network anomalies, operator restrictions or temporary unreachability of WhatsApp during detection.
Accuracy Tips for Status Detection
Platform status detection is based on network request and response judgment. Some numbers may be “unknown” due to operator restrictions or temporary offline. It is recommended to test large-scale tasks in small batches first, and then execute them in full after confirming the accuracy.
Activity (wa_active) and gender and age fields
- Activity Level: Usually divided into “Active in the past 7 days”, “Active in the past 30 days” and “Long-term silent”. The higher the level, the more frequently the number owner is online and the greater the reach rate.
- Gender: male, female, unknown. Used for targeted advertising of different categories.
- Age: Based on platform public information or algorithm inference, common output formats such as
25,30-35. Please note, this is not the precise age at the ID card level, but a reference range.
Platform ID (wa_uid) field
UID is a unique internal identification assigned to each user by WhatsApp. After exporting you can:
- Cross-task deduplication (avoid duplicate detection through Duplication Warehouse)
- As a user ID, connect with CRM or other marketing systems
- Track user behavior across different batches
How to interpret the activation status of a US WA number? (valid, invalid, unknown)
Interpreting the status field is the first step in filtering. The following scenarios are for reference:
| Status | Technical meaning | Usage recommendations |
|---|---|---|
| Valid | The number has been registered in WhatsApp and can be detected | Use it first and go directly to the next round of activity/gender screening |
| Invalid | Not registered with WhatsApp, or the number format is wrong | Discard it directly, do not try again |
| Unknown | Detection timeout/restricted/temporarily unreachable | Small batches can be taken out separately for retesting, or directly classified into a low-priority pool |
Practical Tips: When screening numbers for the first time, first screen the “valid” numbers, and then process the “unknown” numbers in layers according to the marketing rhythm.
Activity field: distinguish the activity level of US WA numbers
Activity is a key indicator for measuring marketing reach effectiveness. Let’s say you want to push an in-app campaign to North American users:
- Active in the last 7 days: highest priority, high open rate, possible reply in seconds.
- Active in the last 30 days: Second-best, suitable for non-urgent or low-value information.
- Long-term Silence: Not recommended as a first-round target, and can be reserved for secondary activation.
Combined with the gender and age fields of US WA Number, more detailed filtering conditions can be constructed. For example:
Filtering “wa_status=valid + wa_active=last 7 days + gender=male + age=25-40” This combination can target young and middle-aged male users who have been active recently - suitable for the promotion of games and technology products.
Gender and age fields: accurately locate user portraits of US WA numbers
The gender and age fields give you reference dimensions for user portraits. Common application scenarios:
- Cross-border e-commerce: Female users (female) are suitable for beauty and clothing push; male users (male) are suitable for electronic products and tools.
- Content Marketing: Users aged 25-30 are more sensitive to lifestyle and workplace topics; users over 40 may be more interested in health and financial content.
Best practices for field combinations
It is recommended to export the multi-field combination of “status valid + activity level ≥ medium + gender/age meets the target” at the same time as the initial target pool. Subsequently, the deduplication warehouse can be imported based on the UID to avoid repeated detection and waste of marketing resources.
Reasonable attitude towards age: It helps you make crowd direction judgments, but you should not be overly superstitious about a single number. If conditions permit, a combination of age and activity can be used as the primary filter, with gender as a secondary filter.
Platform ID (UID) field: further tracking and exporting
The UID field uniquely identifies a WhatsApp user. It can help you do:
- Cross-task deduplication: The same user is repeatedly detected in different batches and can be identified and filtered by UID to save balance.
- User Portrait Association: Combine multiple task results (such as the first test status, the second test gender), and use UID to merge the data.
- API docking: If you need to send messages through the WhatsApp Business API later, the UID can be used as the user ID.
Note when exporting: UID is usually a number or string. It is recommended to keep the original format and do not modify it manually.
How to use the US WA number field combination for efficient filtering?
The following is a typical screening process for your reference:
- Step 1: Detect Status → Only keep “valid” numbers and discard invalid and unknown numbers.
- Step 2: Check activity → Among the valid numbers, only those active in the “last 7 days” or “last 30 days” will be retained.
- Step 3: Detect gender and age → Among active users, target by marketing target (for example, women + 25-35 years old).
- Step 4: Export UID → Export the filtering results, use UID to remove duplicates, and push them to CRM or automation tools.
Billing tips
Different fields correspond to different detection types, and combined detection will result in multiple deductions. For details, see the real-time price on the console. It is recommended to evaluate the target user scale before deciding whether to enable all fields.
FAQ
**Q: What is the difference between “valid” and “active” for a US WA number? ** Answer: Valid means that the number has registered with WhatsApp and can receive messages; active means that the number has been online in the recent past (such as 7 days/30 days). Effective does not necessarily mean active, but active must be effective.
**Q: How accurate is the data for the age field? ** Answer: The age field is based on the platform’s public information (such as the birthday in the personal profile) or algorithm inference, and is not an ID card-level accuracy. It is recommended to use it as a reference dimension and not to rely entirely on a single field.
**Q: What can UID (wa_uid) be used for? ** Answer: UID is the unique internal ID of a WhatsApp user. It can be used to deduplicate across tasks and eliminate duplicate numbers. It can also be used as a user ID for subsequent marketing systems to facilitate data integration.
**Q: Why do the status of some US WA numbers show “Unknown”? ** Answer: Possible reasons include: the number is temporarily unable to connect to the WhatsApp server, operator restrictions, incorrect number format, etc. It is recommended that such numbers be randomly tested separately or wait for the next test.
**Q: Why is there no age or gender data I want in the exported fields? ** Answer: The age and gender fields need to select the corresponding detection type (such as “US WA number gender detection”) to return results. When the corresponding type is not selected, this field is empty.
I hope this article can help you deeply understand the meaning of the US WA Number field and filter out target users more accurately. For practical operation: 👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Can be attached with official website: https://kkdata.cc/, documents: https://docs.kkdata.cc/
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