US ws active data export guide: CSV/TXT field selection, naming specifications and downstream applications

After the overseas marketing team obtains the US WhatsApp active numbers (US ws active data), the most critical step is not to “screen and finish”, but to export the detection results to the local computer in a suitable format for subsequent classification, deduplication, import into CRM or docking with messaging tools. Many novices only care about the screening process, but ignore the quality of the export process, resulting in data confusion, repeated deductions, and incompatibility with downstream tools. This article focuses on “US WS active data export” and provides a complete and implementable guide from field meanings, format comparisons, practical steps, naming conventions, downstream applications to common pitfalls.

What is the US ws active data export and why does it need to be exported?

The so-called “US ws active data export” refers to batch downloading of US WhatsApp numbers and associated information that have completed activity detection from the number screening platform (such as KK-DATA) to the local computer in CSV (multi-field table) or TXT (pure number list) format. Export is not the end of screening, but the first step in data management:

• Classified Storage: Numbers from different batches and different activity windows (such as 7 days, 30 days) need to be stored separately to facilitate subsequent use as planned.
• Cross-task deduplication: After screening numbers multiple times, the numbers may be duplicated. You need to use the platform’s data deduplication warehouse or local deduplication tools (Excel, Python) to merge and clean them to avoid wasting balances through repeated detection.
• Phaseded Reach: After exporting, numbers can be grouped according to fields such as gender, age group, etc., to reach high-potential groups first, and then gradually cover other traffic.

In the KK-DATA console, after completing the US WS number screening task, the export module provides flexible field selection: in addition to the number itself, it can also include region, active status, detection time, tgid/wsid, etc.

Export field description: Understand the meaning of each column of data at once

When exporting a CSV file, you may see the following common column fields. Understanding their actual uses can help streamline export and improve downstream processing efficiency:

Field name	Meaning	Typical uses
phone	Complete number in international format	Import the core fields of the sending tool
country	Country/region (US here)	Mark when classifying in batches
active_status	Active/inactive	Only active numbers are reserved for reach
active_window	Detect the corresponding active time window (such as 7 days, 30 days)	Distinguish between batches with different activity levels
gender	Inferred gender (male/female/unknown)	Targeted marketing screening
age	Inferred age (such as 30-39 years old range)	Age stratification (note: not real-name authentication, for reference only)
tgid / wsid	User ID of the corresponding platform	Used to associate data with other platforms or connect to APIs
detect_time	Timestamp of detection completion	Data timeliness management
source	Number source (generation, import, history)	Data traceability

Recommended practice: If you only need to send messages, just check phone and active_status; if you need to do crowd targeting, additionally check gender and age. Avoid exporting too many redundant fields, resulting in excessively large files, or field misalignment when imported into third-party tools.

US WS active data export: What is the difference between CSV and TXT formats?

When exporting data, platforms usually provide two mainstream formats: CSV and TXT. Both have applicable scenarios, see the table below:

Dimensions	CSV format	TXT format
Data structure	Multi-column structure, including field header rows	Pure number list, one number per row
File size	Larger (with extra fields)	Smaller (number only)
Compatibility	Supports importing CRM, email/message tools (field mapping needs to be correctly parsed)	Compatible with almost any batch sending tool (only a number is required)
Subsequent processing	Excel/Google Sheets can be used for sorting, filtering, and deduplication	Usually used directly as a sending queue
Applicable scenarios	Need to be stratified by gender, age, or need to do ABM analysis	Unconditional reach after batch preliminary screening

Scenario Suggestions:

• If you are a refined operation team, you need to stratify the “US ws active data” by gender/age before reaching it, select CSV and check the necessary fields.
• If you are a batch preliminary screening team and only need the number list to be sent as soon as possible, select the TXT format and import it directly into the message sender after exporting.

In the KK-DATA export interface, after selecting the export format, the system will automatically generate the corresponding file without manual conversion.

How to export US ws active data? Practical steps and precautions

The following takes KK-DATA Console as an example to demonstrate the complete process of exporting active US WhatsApp numbers:

1. Log in to the console → Enter the “Screen Number Task” module.
2. Create New Task → Select WhatsApp as the platform and United States (US) as the target country/region.
3. Detection Type → Check “Active Detection” (time window can be specified, such as the past 7 days, 30 days or a custom period).
4. Upload the number list (You can download the US number segment from the “Global Number Generation” module, or import CSV/TXT yourself).
5. Confirm the estimated fee (see the real-time price on the console for details), and submit the task after ensuring that the balance is sufficient.
6. Waiting for task completion → System notification (can be received via Telegram).
7. Enter the task details page → Click the “Export” button.
8. Select the export format (CSV or TXT) and check the required fields (it is recommended to select only the necessary fields).
9. Fill in the custom file name (see naming convention below).
10. Click to confirm export → Download the file to local.

Naming convention suggestions

After exporting multiple times, if the file names are confusing, it is easy to confuse the batches and waste time on deduplication. It is recommended to use the following rules:

{日期}_{平台}_{国家}_{活跃窗口}_{费用批次}.{扩展名}

Example:

• 20250501_WS_US_Active30_001.csv
• 20250501_WS_US_Active7_002.txt

Parameter explanation:

• Date: Task completion date (YYYYMMDD)
• Platform: WS (abbreviation of WhatsApp, WA can also be used)
• Country: US (country code in capital letters)
• Active window: Active7 (7 days), Active30 (30 days), etc.
• Expense Batch: Numbered in order of tasks (001, 002…)
• Extension: csv or txt

After naming it like this, even if you export it multiple times, you can still see the data source, timeliness and batch at a glance, which facilitates team collaboration.

Checklist before exporting

Before clicking “Export”, it is recommended to check the following items one by one to avoid rework:

• Activity Window Settings: Check whether the task uses the expected time window (such as “last 30 days”) to ensure that the number is truly active.
• Field Selection: Does it contain the required dimensions? If you want to do crowd targeting later, be sure to check gender/age; if you just want to send messages, just check phone and active_status.
• Estimated cost: Before exporting, the system will display the cost of this screening number (see the real-time price on the console for details) to confirm that it is within the budget.
• Whether the balance is sufficient: Insufficient balance will cause the task to be unable to be submitted. You need to recharge via USDT (TRC20) first (minimum of about 50 USDT).
• Task Status: Make sure the task is completed (not running or failed), otherwise the export results will be incomplete.

After exporting US WhatsApp activity data, how can it be used for downstream customer acquisition?

After getting the list of active WS numbers in the United States, the next step is to convert it into actual contacts. The following are several common landing scenarios:

1. Telegram/WhatsApp community recruitment: Import the exported number into the automatic invitation tool, and cooperate with the group invitation link to invite into the community in batches.
2. Private message promotion: Use Chinese/English copywriting to send targeted messages to numbers, and pay attention to controlling the frequency (it is recommended not to exceed 1 message per number per day) to avoid being marked as spam.
3. CRM Import: Import CSV into a self-built CRM system (such as HubSpot, Salesforce), associate customer behavior data, and implement account-based marketing (ABM).
4. Multi-round reach strategy: First send an opening message to numbers with high activity (in the past 7 days) and track the open rate; a week later, do a second round of reach to numbers that have been active in the past 30 days to test the conversion rate in layers.

Common pitfalls and avoidances in US WS active data export

Novices are prone to fall into the following misunderstandings when dealing with the export process:

Trap 1: Numbers are not duplicated, resulting in repeated deductions

Performance: There are overlaps in the numbers exported from different batches. After being directly used for contact, the next time the platform screen numbers are imported, the detection will be repeated, resulting in a waste of balance.
Avoidance: Use KK-DATA’s “Data Deduplication Warehouse” function to automatically deduplicate across tasks; or merge multiple batches of CSV and use Excel (Data → Delete Duplicates) or Python script to deduplicate before use.

Trap 2: The file is not split as required, causing the import to fail.

Performance: Third-party sending tools (such as some mass sending software) limit the size or number of lines of a single imported file (such as a maximum of 50,000), and directly importing millions of files will cause failure.
Avoidance: Plan the splitting strategy before exporting, split a file into multiple CSV/TXTs based on 50,000 items, or use the command line (Linux: split) or Excel to split manually after exporting.

Trap 3: Ignoring file encoding leads to garbled characters

Performance: After the CSV file is opened with Excel, Chinese or special characters become garbled characters (such as ”?????”).
Circumvention: Select UTF-8 encoding (default on most platforms) when exporting, or use a text editor (Notepad++, VS Code) to save as UTF-8 CSV with BOM. A more reliable method is to use “Data → From Text/CSV” to import in Excel and select UTF-8 encoding.

Trap 4: Field mapping error

Performance: The CSV column order is inconsistent with the field order expected by the third-party tool, resulting in phone number being recognized as name, country being recognized as age, etc.
Avoidance: First upload a small number of samples (such as 10) to the test tool to verify whether the field mapping is correct; most tools support manual configuration of column correspondences, so please keep the header row when exporting.

US ws active data export FAQ

**Q: The exported CSV file displays garbled characters in Excel, how to solve it? ** Answer: Usually it’s a file encoding issue. When opening CSV, first create a new blank worksheet, import it through “Data → From Text/CSV”, select UTF-8 encoding, and then select the delimiter (comma), then each field will be displayed normally. Save as UTF-8 CSV with BOM, you can also double-click to open it directly in Excel without garbled characters.

**Q: How to choose the activity window (such as “past 7 days” and “past 30 days”)? ** Answer: The active numbers in the past 7 days represent recent active users, with a high response rate, but the total number is small; the number of active numbers in the past 30 days is larger, which is suitable for batch initial contact. It is recommended to test the conversion rates of the two windows in small batches first, and then decide which window’s data to use.

**Q: The exported fields include “age” and “gender”. Are these data accurate? ** Answer: The age and gender fields are inferred from public information or behavioral characteristics based on algorithm models and can be used as a reference for crowd targeting (such as screening men aged 18-45), but they are not 100% accurate at the real-name authentication level. Not recommended for legal authentication or high-precision targeting.

**Q: Can I export only the “US WS Active Numbers” pure number list? ** Answer: Yes. If you select the TXT format when exporting, the file will only contain the number field, which is suitable for direct import into sending tools that support pure number lists. If you need multi-dimensional analysis or stratification, it is recommended to choose CSV format and check the required fields (such as activity, gender, region, etc.).

**Q: The US ws active data exported from different batches are mixed together. How to identify and remove duplicates? ** Answer: It is recommended to add the date and batch number in the file naming, and use KK-DATA data to deduplicate the warehouse and cross-check the tasks to avoid repeated detection and deduction. You can also merge multiple batches of CSV and use Python/Excel to remove duplicates before use.

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Whether your goal is to accurately reach U.S. WhatsApp users or test different active windows on a large scale, the standardization of the export process directly affects customer acquisition efficiency. Log in to KK-DATA Console now to start testing the export function, or contact customer service https://t.me/kkdata_robot for demonstration and support. More usage details can be found in Official Documentation.