US WhatsApp Number Delivery Acceptance Checklist: Complete Guide to Number of Files, Fields, Duplication Rates, Timestamps and Detection Types

Whether you purchase U.S. WhatsApp numbers from a third party or use a screening platform to generate and screen them yourself, what you are most afraid of after getting a batch of “U.S. WhatsApp activation numbers” is that the data quality is not up to standard - the repetition rate exceeds the standard, the fields are missing, the detection time expires, and even the detection types are mixed. These problems range from wasting marketing budgets to causing accounts to be blocked or reach rates to plummet.

This article provides a complete set of standardized procedures for U.S. WhatsApp number acceptance, covering the five core dimensions of file quantity, field integrity, duplication rate, timestamp, and detection type. Whether it is acceptance within the team or docking with suppliers, this checklist can help you quickly determine whether the data is qualified and avoid rework.

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Why do US WhatsApp numbers need systematic acceptance criteria?

Many people get a bunch of American WhatsApp numbers and start mass messaging directly, only to find that a large number of numbers have been canceled, have low activity, or are duplicates, resulting in extremely poor results. Common issues in batch data delivery include:

• High duplication rate: The same number appears in multiple batches, which wastes testing fees.
• Missing fields: Only mobile phone number, no key fields such as activation status, activity, gender, etc.
• Expired Timestamp: The numbers were detected three months ago and many are no longer active.
• Detection type error: An “active” number is required, but the provider only did an “activated” detection.

A set of standard acceptance checklists allows you to complete quality inspections in minutes and reduce subsequent marketing risks. Below we break down the acceptance process item by item.

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Five core dimensions of US WhatsApp number acceptance

The acceptance work can be summarized into five inspection items, each item corresponding to the key attributes of a data file:

• Number and format of files
• Field integrity
• Repeat rate
• Timestamp and detection type
• Data encoding and format

Next, we will explain how to execute them one by one.

Number and format of files

When you get a data package from a screening platform (such as KK-DATA) or a supplier, first check the following:

• Number of files: One or more CSV/TXT files are usually generated after the task is completed. Confirm that the number of files is consistent with the number of volumes displayed on the task results page (for example, the maximum number of files in a single task is about 1 million, if it exceeds, it will be divided into volumes).
• File Naming: The file name should include identification such as task ID, creation time, detection type, etc. to facilitate traceability. For example US_WhatsApp_Active_20250315_JobID123.csv.
• Format: Standard export formats are CSV (comma separated) or TXT (one number per line). Make sure the file can be opened normally and is not damaged.

Field integrity

Fields are the core of acceptance. The fields for US WhatsApp numbers vary depending on the detection type. The following table lists common fields and their uses:

Field name (example)	Meaning	Required/optional	Description
phone or mobile	Mobile phone number (including country code)	Required	Format such as +1XXXXXXXXXX
open or is_whatsapp	Activation status (whether to register for WhatsApp)	Required	Value is true/false or 开通/未开通
active or last_seen_days	Activity (recent days online)	Recommended	For example, active_7d means online within 7 days
gender	Gender	Optional (requires ordering gender test)	Values male/female or 男/女
detected_at	Detection time (Unix timestamp)	Recommended	Used to determine data freshness
detection_type	Detection type	Required	Such as whatsapp_open_active
uid or wa_id	WhatsApp internal ID	Optional	Available in some scenarios

During acceptance, open the file and check whether the header is consistent with expectations. If you order “US WhatsApp Gender Test” but there is no gender field in the file, it is not qualified.

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How to verify the file quantity and format of a US WhatsApp number?

The specific steps are as follows:

1. Unzip files: If the supplier provides a zip package, count the number of files after decompression.
2. Check encoding: Open a file with Notepad or a text editor (such as Notepad++), and select UTF-8 encoding when saving as. If you see garbled characters (such as Chinese question marks), it means that the encoding is not UTF-8 and you need to re-export.
3. Row Count Check: Use Excel or the command line wc -l to count the number of rows (Header counts as one row). For example, if the number of tasks is 100,000, the number of file lines should be 100,001 (including headers). If the error exceeds 100 items, the reason should be asked.
4. Volume integrity: If there are multiple volumes, ensure that each volume can be opened normally and the field order is consistent.

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Field acceptance: Ensure the complete data of the US WhatsApp number

The list of fields varies depending on the detection type. Let’s break down the three key field groups.

Activation status field

No matter what kind of detection, open status is a must. Typical values ​​are Open (enabled), Closed (unenabled), or true/false. Upon acceptance:

• Make sure there is a clear “Open” column in the document (e.g. is_whatsapp).
• Randomly check dozens of lines and manually verify them with your mobile phone (for example, save them as vCard and import them to your phone to see if you can send messages) - but it is recommended to only select a few, as batch verification is inefficient. The accuracy of formal platform detection is usually over 95%.

Activity field

If you want to use it for recent marketing, you should ask for “active” testing. The activity field will tell you whether the number has online behavior within the specified time window (such as 7 days, 30 days). Upon acceptance:

• Confirm that the field exists, such as active_7d or last_seen_days.
• Check whether the value is reasonable: for example, if the field value of active_7d is true, it means it is active within 7 days; if all of them are false, it means that this batch of numbers may not be active.

Gender and additional fields

The gender field is used for targeted marketing (such as cross-border e-commerce targeting women). But please note: Gender recognition is inferred based on behavioral data or number-related information, and is not an ID card-level accuracy. KK-DATA’s Telegram and WhatsApp gender detection fields include age, race, avatar and other information, but these data are for reference only and should not be used as a basis for accurate demographics. When accepting, you only need to confirm that the field exists, and there is no need to be overly demanding on accuracy.

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Duplication rate acceptance: How to confirm that deduplication of US WhatsApp numbers is valid?

Repetition rate is a hard indicator of data quality. Acceptance steps:

1. Autonomous deduplication test: Merge all received CSV/TXT files into one Excel, use Excel’s “Delete Duplicate Values” function (or Power Query) to count the number of duplicates. Repetition rate = number of repetitions ÷ total number of items.
2. Acceptance Standard: The industry usually requires a repeatability rate ≤ 2%. If it exceeds 2%, it means that the deduplication is not complete, and you should ask for re-screening or use the deduplication tool yourself.
3. Cross-task duplication: If you already have historical data on hand, there may be duplication between the new batch and the old batch. KK-DATA provides a “data deduplication warehouse” function, which can upload existing numbers before submitting new tasks to avoid repeated detection and repeated deductions.

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Timestamp and detection type acceptance: avoid stale or erroneous data

Detect timestamp

The detection time of each number should be recorded in the detected_at field, usually a Unix timestamp (in seconds). Conversion example: 1710681600 corresponds to March 17, 2024 Beijing time. Upon acceptance:

• Use online conversion tools or Excel formulas to convert timestamps into readable dates.
• The detection time of all data is required to be within the last 7 days**. Some US WhatsApp numbers that are older than 7 days may have been logged out or the user has stopped using them.

Detection type identification

The detection_type column in the file tells you which test it is. Common values are:

• whatsapp_open: Only detect whether it is enabled
• whatsapp_active: Detect activation and determine activity level
• whatsapp_gender: Detect activation, activity, gender

Confirm that the type of test matches the service you ordered. For example, if you buy a “US WhatsApp active number”, but the file is marked whatsapp_open, then the activity information is missing and it is unqualified.

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Quick Acceptance Checklist (printable)

The following list can be copied directly into your acceptance process document:

• The number of files is consistent with the task results and there are no missing files.
• The file name contains traceability information such as task ID, time, etc.
• File encoding is UTF-8, no garbled characters.
• The error between the number of rows and the estimated number of items is < 1%.
• The required fields are complete: mobile phone number, activation status, and detection type.
• Recommended fields: activity, detection timestamp.
• Optional fields (if ordered): gender, uid, etc.
• Duplication rate ≤ 2% (can be verified with Excel deduplication tool).
• The detection timestamp is within 7 days.
• The detection type is consistent with the order.

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Common Mistakes: Pitfalls and Solutions in U.S. WhatsApp Number Delivery

Common Errors	Performance	Prevention and Remediation
Activity field is missing	The file only has the activation status and no activity level	When accepting, confirm that the detection type contains “active”; if it is missing, re-test is required.
Detection type labeling error	The file is marked as “active”, but only detection is actually enabled	Randomly check a few numbers and verify with other tools; or complain to the platform.
The duplication rate is too high	The same number appears multiple times	Use KK-DATA “Data Deduplication Warehouse” or Excel to deduplicate; it is required to reduce the duplication rate.
The timestamp is old data	The detection time is more than 1 month	A time window is specified during acceptance (such as 7 days); ask for the detection date before accepting.
Field names are garbled	Column names become garbled or have inconsistent case	It is required to unify the field naming specifications and select UTF-8 encoding for export.

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FAQ

Question: What should I do if I find that the repetition rate of American WhatsApp numbers is high during acceptance?

Answer: First, confirm whether the repetition statistics range includes cross-task repetition. If the repetition rate exceeds 2%, it is recommended to request re-screening. You can also use KK-DATA’s “Data Deduplication Warehouse” function to deduplicate existing numbers before submitting the task to save subsequent costs.

Question: What fields are included in the received US WhatsApp activation number to be considered qualified?

Answer: The minimum required fields include mobile phone number, activation status (such as “Open”) and detection type. It is recommended to include activity level (such as “Active”), detection timestamp and unique ID. If gender detection is ordered, the gender field should be additionally included. Please refer to the platform documentation or delivery instructions for the specific field list.

Q: What is the detection timestamp? Why is it important for US WhatsApp numbers?

Answer: The detection timestamp records the specific time when each number was detected (usually a Unix timestamp). If the US WhatsApp numbers you got were tested two months ago, many of them may have expired or are no longer active. It is recommended that the testing time be within 7 days to ensure that the data is fresh and valid.

Question: How to distinguish between the two detection types “WhatsApp activated” and “WhatsApp active”?

Answer: “WhatsApp activated” only verifies whether the number has registered a WhatsApp account; “WhatsApp active” further determines whether the account has online behavior within the specified time window (such as 7 days). When accepting, be sure to check the value of the “Detection Type” column in the file to confirm whether it is consistent with your requirements.

Question: What should I do if the file encoding or field name is garbled?

Answer: Make sure to select UTF-8 encoding when exporting, and let the deliverer agree on the field naming convention (such as English lowercase without spaces). If you have received a garbled file, you can try to use a text editor (such as Notepad++) to resave it in UTF-8 format, and then import it into Excel for viewing.

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After completing the acceptance, if you need to batch screen high-quality US WhatsApp numbers (whether activated, active or gender-specific), you can directly complete the entire process from small data generation, global number screening to data deduplication and export on the KK-DATA platform. There is no need to subscribe to a package, it is billed on a per-item basis, and you can start running by recharging USDT.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot More documentation and billing information: Official website | Usage documentation