US WA Number Acceptance Checklist: Authoritative Guide to Number of Files, Fields, Repeat Rates, Timestamps and Detection Types

After purchasing US WA Number (US WhatsApp Number) data, how to determine if the deliverable is available? Many teams directly import raw data into marketing tools, only to find that numbers are invalid, fields are missing, or the duplication rate exceeds standards, resulting in wasted detection costs, low reach rates, and even account bans. This article provides a complete US WA number acceptance list, covering key dimensions such as file quantity and format, field integrity, repetition rate, timestamp and detection type, to help you quickly verify data quality and improve the efficiency of overseas customer acquisition.

Why do you need a US WA number acceptance list?

Data delivery is not the end but the starting point. The following risks are common with unaccepted US WhatsApp Number data:

• Invalid numbers occupy marketing resources: Numbers that have not subscribed to WhatsApp will be marked by the system when sending group private messages, which will affect the credibility of the channel.
• Duplicate numbers lead to repeated contacts: The same number is sent multiple times, which increases the probability of being complained, and in severe cases, the number will be banned.
• Missing fields affect targeting judgment: The lack of gender, activity and other fields makes it impossible to make accurate layered push, and the marketing effect is compromised.
• Detection type confusion: The “activation detection” result is used as an active number, and the private message opening rate is extremely low.

A standard acceptance checklist allows the team to complete the quality assessment within 15 minutes and avoid subsequent ineffective investment. Let’s break down each acceptance point one by one.

Basic inspection of US WA number delivery: file quantity and format

Number of files and naming convention

The delivery party usually provides multiple files to distinguish test results such as communication, activity, gender, etc. Check by following these steps:

1. Compare the delivery list with the actual documents: Confirm whether the number of files and file names are consistent with the agreement.
2. Check the naming convention: The ideal file name should include the platform name (such as WhatsApp), detection type (activated/active/gender), and task timestamp (such as 20250410). Example:
   • US_WA_active_20250410.csv
   • US_WA_gender_20250410.csv
3. Pay attention to common omissions: Many delivery parties only provide “successful activation” documents and lack “unactivated” documents. Unactivated numbers also have reference value - they can be excluded from next generation to avoid repeated detection and waste of balance. If the other party does not provide it, it is recommended to request a reissue.

File format and encoding issues

• Delimiter: CSV files need to confirm comma (,) or tab (\t). Excel uses commas to separate by default. Using tab characters may cause misaligned columns.
• Encoding: UTF-8 without BOM is the best choice. If garbled characters appear, you can try to use Notepad to save as UTF-8 or use iconv to convert.
• Field header row: The first row should contain field names (such as phone_number, status, detect_time), not direct data.
• Number of lines: The number of data lines in the file should be greater than 0; if it is 0, it means that the task was not executed successfully.

Field integrity acceptance: What key fields does your US WA number data contain?

Required field list

Make sure your file contains at least three of the following core fields:

Field	Description	Checkpoints
Telephone number (including country code)	Example: +14151234567	All must be American numbers (country code + 1, area code such as 212/310/415, etc.)
Activation status	active / inactive	Distinguish whether WhatsApp is registered or not
Active status	recently_seen or last_seen	Must correspond to the specified active window (such as 30 days, 7 days)
Detection timestamp	Format such as 2025-04-10 14:30:00	Represents the detection execution time, not necessarily the last online time of the number

Special reminder: Open ≠ active. Even if a number is registered with WhatsApp, it may not be online for more than a year. Both status fields must be seen at the same time during acceptance, otherwise the freshness of the data cannot be judged.

Optional fields and advanced filtering

• Gender: male / female / unknown. For targeted marketing.
• Age: Number (such as 30), estimated value based on analysis of the user’s public information, inexact age.
• Avatar link: URL, can be used for secondary verification.
• WSID (WhatsApp ID): Partial detection is included in the export and can be used for deduplication or binding.

If the gender/age field is missing, possible reasons:

• This detection type was not checked when submitting the detection task;
• Insufficient task balance caused some tests to be incomplete.

Repeat rate check: How to determine whether the US WA number data is repeated?

The dangers of duplicate numbers:

• Duplicate detection wastes balance;
• Repeated exposure leads to user disgust and reporting and account ban;
• Statistical bias, misleading marketing decisions.

Manual deduplication acceptance (Excel/Google Sheets)

1. Open the number column and select the entire column.
2. Use Conditional Formatting → Highlight Cell Rules → Repeat Values.
3. Calculate the ratio of the number of duplicate rows to the total number of rows. It is recommended that the repetition rate is less than 1% to be considered qualified. If it is higher than 5%, the delivery party should be asked to regenerate or provide a version after deduplication.

Automatic deduplication solution

Use the platform’s own data deduplication warehouse (such as KK-DATA’s deduplication function) to automatically deduplicate data across tasks. During acceptance, you only need to confirm that there are no duplicate lines in the delivery file.

Timestamp and detection type: distinguish between openness detection and activity detection

The significance of detecting timestamps: data freshness

The detection timestamp is accurate to seconds and represents the moment when the number was detected. The data generated for the first time (such as through the global number generation function) may not contain a timestamp. In this case, the detection time needs to be obtained from the task record.

Data freshness directly affects marketing results: Activity detection data is best used within 7 days; if it exceeds 30 days, the activity status of the number may have changed.

Applicable scenarios for different detection types

Detection type	Applicable scenarios	Recommended data aging
Activate the test	Import friends in batches and verify whether the number is registered	Within 30 days
Active detection (30 days)	Private message contact, community invitation	Within 7 days
Active detection (7 days)	High-frequency contact, emergency activities	Within 3 days
Gender/age detection	Precisely targeted marketing	Synchronized with active detection

During acceptance, be sure to confirm that the delivery documents contain the type of testing you require. For example, if you only purchased Provisioning Detection, there will be no active status field in the file.

Practical steps for batch acceptance (taking KK-DATA console as an example)

If you perform the inspection through the KK-DATA platform, the acceptance process is more intuitive:

1. Log in to the console https://app.kkdata.cc/ → Enter the task list.
2. View task details: Click the task ID to view the detection type, detection quantity, and completion time.
3. Download result file: Supports CSV/TXT format. The file name automatically contains the task ID and timestamp for easy management.
4. Use deduplication warehouse verification: You can create a new deduplication task and automatically verify the duplication rate after uploading the file.
5. Check field integrity: Open the file and check it against the above field list.
6. Enable task notification: Bind Telegram in the settings and automatically push messages when the task is completed to facilitate real-time acceptance.

FAQ

**Q: What should I do if I find that some numbers are not activated during the acceptance check? **

Answer: Please check whether “activation detection” is selected for the detection type; if it is a mixed file, the number missing the activation status may be undetected or failed to detect. It is recommended to resubmit a separate task. If the delivery party promises to include the activation status, it can be supplemented by request.

**Q: How to confirm the latest generation time of US WA number data? **

Answer: You can look for the detect_time or timestamp field in the file, or infer it based on the task completion time in the delivery email. It is recommended to give priority to data generated within 7 days to ensure that the active status is valid.

**Q: Can activity detection ensure that the other party is online? **

Answer: No. “Activity detection” can only show that the number has been online within the specified time window, and cannot guarantee that the number is online at the current moment. When accepting, please confirm whether the active window (such as 30 days/7 days) meets your marketing rhythm. For example, it is recommended to select a 7-day active window for high-frequency activities.

**Q: What should I do if the file contains non-U.S. numbers (such as Canada and Mexico)? **

Answer: First check the country code before the number field (+1 is not necessarily the United States, it may cover North America); filter the country code +1 through Excel and then continue to filter twice by area code (such as 212, 310), or contact the delivery party to confirm the country parameters when generating. Use KK-DATA’s “Global Number Generation” to filter precisely by country.

**Q: What should I do if I find that the field title rows do not correspond during acceptance? **

Answer: Contact the delivery party immediately to confirm the document description. Field names can also be mapped manually in Excel. If format problems occur multiple times, it is recommended to change the data supplier or use a standardized platform (such as KK-DATA), whose export fields are fixed to reduce disputes.

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Through the above acceptance checklist, you can complete a quality assessment of US WA Number data in 15 minutes. For overseas marketing teams, data quality determines reach and cost returns. It is recommended that the acceptance process be included as a mandatory part of every purchase.

If you need to directly obtain an approved high-quality US WhatsApp number, or want to perform activation/activity/gender detection on your own, you can log in to the console to experience:

👉 Log in to the console to start screening numbers 👉 Two-way contact customer service to solve acceptance issues immediately: https://t.me/kkdata_robot 📖 For detailed acceptance criteria and field descriptions, see the document: https://docs.kkdata.cc/