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Guide to obtaining activity data from WS in the United States: How to superimpose activity filtering to improve WhatsApp marketing conversion rate

US ws active data active US data kkdata WhatsApp marketing

Guide to obtaining active data from WS in the United States: How to superimpose activity filtering to improve WhatsApp marketing conversion rate

Among overseas customers, WhatsApp has become one of the core channels for reaching American users. But have you found that even if you get a large number of “activated” numbers, the actual open rate when sending messages is not high, and risk control is even triggered frequently? The crux of the matter is not whether the number is registered with WhatsApp, but whether it is active. US WS activity data refers to WhatsApp numbers that have been verified by activity detection and have had online behavior within the specified time window. This type of number can significantly increase the message arrival rate and user response rate, and reduce the risk of account bans caused by frequent messages to dead numbers.

This article will teach you step by step how to obtain high-quality American WhatsApp active numbers in batches from active detection parameter settings, step-by-step operations, list layering strategies to actual combat scenarios. If you are using or considering the KK-DATA platform, the article will be interspersed with specific operational guidelines to help you put the theory into practice.

What is US WS active data? Why is activity more important than simple activation?

US WS activity data is the result set obtained after performing “activity detection” on WhatsApp numbers in the US. Unlike the “activation check” (which only verifies whether the number is registered with WhatsApp), the active check verifies whether the number has had any online behavior in the recent period (such as sending messages, viewing messages, updating status, etc.).

Detection TypeMeaningMarketing Value
Open numberRegistered for WhatsApp, but may not have logged in for months or even a yearLow, the message may be delivered but the user does not open it for a long time, which may easily lead to the account being marked as a spam sender
Active numberHas online behavior within the specified window (such as the past 7 days)High, users are more likely to check messages immediately, the interaction rate is high, and the risk control risk is low

If you rely solely on the opened number for mass sending, you will find the following problems:

  • A large number of numbers have long been abandoned, and messages are sent without acknowledgment (or even intercepted by operators).
  • Frequently sending messages to dead accounts will trigger WhatsApp’s anti-spam mechanism, resulting in the account being restricted or banned.
  • User portraits are not accurate and it is impossible to distinguish between real active users and “zombie accounts”.

On the contrary, using US ws active data, you can focus your limited energy and budget on truly online users, increase the message arrival rate to more than 60%, and significantly reduce the risk of account suspension.

Core parameters of activity detection: activity window, gender, other available fields

KK-DATA’s WhatsApp screening task supports multiple detection types, among which the core parameter related to activity is Activity Window, in addition to fields such as gender identification and online time.

Understanding the time range of active windows

The active window refers to “the number of online activities in the past few days.” Common options include:

  • Last 1 Day (most strict, only filters numbers online today or yesterday)
  • Last 3 days
  • Last 7 days (commonly used, balancing stringency with list size)
  • Last 14 days
  • Last 30 days (loose, suitable for long-term brand cultivation)

The smaller the window, the more active the filtered numbers are, but the lower the pass rate. For example, the activity rate in the last 24 hours may be only 10%–20% of the activated number, while the activity rate in the last 30 days can be 50%–70%. You need to balance list size with activity precision based on marketing urgency.

Select windows for different marketing scenarios

Marketing scenarioRecommended active windowReason
Instant promotions, flash sales, emergency notificationsLast 1–3 daysUsers are online instantly and the message opening rate is high, suitable for time-sensitive activities
Regular marketing, community recruitmentLast 7–14 daysThe list size is moderate, users are still active, and a certain interaction rate can be guaranteed
Brand exposure, customer careLast 30 daysThe list is broader and suitable for long-term cultivation, but please note that it may include some low-activity users

Things to note when setting windows in batches

  • The narrower the window, the smaller the number of numbers filtered out, and the total task cost may be reduced (but the unit price remains the same). It is recommended to use a small sample (such as 1,000 items) to test the activity rate under different windows before deciding on the full window.
  • If the same batch of numbers needs to be tested for activation and activity at the same time, you can directly check both in the KK-DATA task to complete it at once to avoid duplication.

Active window setting tips

The unit of the active window is days (for example, “7” means that there has been any online behavior in the past 7 days). The smaller the window, the more active the filtered numbers are, but the lower the pass rate. It’s recommended to balance list size with activity precision based on marketing urgency. For detailed parameters, please refer to Usage Documentation.

How to set the active window to filter US WS active data? (step by step operation)

The following takes the KK-DATA console as an example to demonstrate the complete operation process.

Step 1: Create a screening task and check WhatsApp activity detection

  1. Log in to Application Console → click “New Task”.
  2. Select platform WhatsApp.
  3. Check in the detection type:
    • Activation detection (required, verify whether the number is registered)
    • Activity Detection (core, set active window)
    • Gender Detection (optional, for crowd targeting)
  4. Enter the number of days in the “Activity Window” (for example, 7 means filtering numbers that have been active in the past 7 days).
  5. Confirm the estimated cost (the console will display the balance expected to be consumed by this task). Note: Different test types are billed separately. For specific unit prices, please see official website billing page.

Step 2: Upload or generate target number

  • Upload numbers: Supports CSV, TXT format, one line for each number (must include international area code, such as +1xxxxxxxxxx).
  • Generate numbers: If you don’t have a ready-made list at hand, you can use KK-DATA’s Global Number Generator (free) to batch generate US number segments (such as 213, 310, 646, etc.), then export the CSV file, and then import the screening task. Note: Generation is free, but screening numbers will be charged per item.

Recommendation: Use the “Data Deduplication Warehouse” to clean before uploading to eliminate previously detected numbers to avoid repeated deductions.

Step 3: Submit the task and export the active list

After submission, the task enters the queue and KK-DATA will process it asynchronously. You can check the progress in the task list. After the task is completed, you can receive notifications through Telegram (you need to bind the notification robot in advance).

When exporting results, select the format (CSV/TXT) and the fields include:

  • number
  • Is it enabled (yes/no)
  • Is it active (yes/no)
  • Last active time (timestamp, only valid for active numbers)
  • Gender (if gender detection is checked, mark male/female/unknown)
  • Other exportable fields (such as Telegram ID/WhatsApp ID, etc., see the console export column for details)

Money Saving Tips

Before submitting the task, be sure to use the “Data Deduplication Warehouse” to clean the measured numbers to avoid repeated deductions. For details, see Data Deduplication Document.

US WS active data filtering usage sequence and list stratification strategy

An efficient screening process should be “funnel-style”: original list → activation detection → active detection → targeted field screening → final export. Each layer of filtering improves list purity but also reduces size, so target numbers need to be planned ahead of time.

Should I enable detection first or do active detection directly?

KK-DATA supports checking “Activate + Active” at the same time to complete the two-step test at one time, and the fees are billed separately according to the number of two tests. It is recommended to check both items directly because:

  • Activating detection is a prerequisite for active detection (only activated numbers can be active).
  • The task is completed in one go, with the shortest process and the clearest results.

If the budget is tight, you can also only do activation testing first. After obtaining the “activation numbers”, submit these numbers for a second activity detection. But note: when submitting for the second time, if the number has already been tested (the balance has been consumed by activating the test), resubmission will be charged according to the new active test. You need to use the deduplication warehouse to avoid repeated deductions.

How to build a layered funnel: from raw list to final export

Suppose you plan to eventually obtain 100,000 high-quality US ws active data, you can work backwards like this:

Filter levelFilter conditionsPass rate (example)Remaining quantity
Original NumberRandomly Generated or Purchased US Number100%1 Million
Activation testWhether to register WhatsApp80%800,000
Active detection (last 7 days)Online behavior in the last 7 days30%240,000
Gender filter (male)Gender field is male40%96,000
Final ExportMeet the above conditions at the same timeAbout 96,000

Note: The above pass rates are examples. Actual values vary greatly depending on data sources, window settings, etc. You can test with a small sample first and then scale up to estimate the full scale.

Use data deduplication warehouse to avoid repeated deductions

KK-DATA’s Data Deduplication Warehouse can identify detected numbers across tasks. When you upload a list in a new task, the system will compare it with the records in the warehouse and automatically skip the tested numbers without any deductions. Therefore it is recommended:

  1. Import all to-be-screened lists into the deduplication warehouse.
  2. Create a screening task after removing duplicates to ensure that the remaining balance is not wasted.
  3. If you need to perform activity detection on the activated number for a second time, you can also check for duplicates first to avoid repeated billing for the same number.

Practical scenarios of US WS active data in overseas customer acquisition

US WhatsApp private message promotion

Scenario: You have an app targeting young users in the United States and want to promote new features through WhatsApp private messages.

  • Strategy: Use a number that has been active for the past 24 hours and send a personalized invitation link.
  • Effect: Since users are online on the same day or the day before, the open rate can reach more than 60%. A high interaction rate is beneficial to the health of the account.
  • Note: The message content should be short and of clear value to avoid being marked as spam.

United States WA Community Recruitment

Scenario: You run a Telegram/WhatsApp hybrid community with mainly American users, and want to invite active users to the group.

  • Strategy: Use a WhatsApp number that has been active in the last 7 days to send community invitations.
  • Effect: The invited people are recent online users. After joining the group, they are more likely to continue to speak and maintain the popularity of the community.
  • Data support: When exporting the active list through KK-DATA, the gender field can also be exported simultaneously to invite male/female users in a targeted manner to focus community topics.

Cross-border e-commerce customer reach

Scenario: You are an independent e-commerce company specializing in women’s beauty products. Want to push Black Friday promotions to target users.

  • Strategy:
    1. Use US ws active data and set the window to the last 30 days (covering more potential customers).
    2. Superimpose gender filter and only retain female numbers.
    3. Combine cross-validation with other channels such as email, but use WhatsApp as the main push channel.
  • Effect: The list is extremely accurate, the message opening rate is increased, and the conversion rate is increased accordingly.

FAQ

Question: What is the difference between US WS active data and ordinary activated numbers?

Answer: Activating a number only means that the mobile phone number is registered with WhatsApp and may not have been logged in for several months or even a year. The active number is detected through the “active window” to confirm that there has been online behavior within the last specified number of days (such as 7 days). By using active data to send messages, users are more likely to see them in time, the interaction rate is high, and the risk of account risk control caused by sending to dead accounts can be reduced.

Question: What is the appropriate size for the active window?

Answer: It depends on the timeliness of your marketing. The short window (1-3 days) is suitable for instant notifications and promotional flash sales, with the smallest list size but the highest activity; the medium window (7-14 days) is suitable for regular marketing, with a moderate list size; the long window (30 days) is suitable for long-term brand cultivation, with the largest list size. It is recommended to first use a small sample to test the activity rate of different windows, and then back-reference based on the target number.

Question: How is the cost calculated for US WS active data screening on KK-DATA?

Answer: There is no subscription package, everything is billed on a per-item basis. There are different unit prices for activation detection, activity detection, and gender detection (see the real-time price on the console for details). The estimated cost will be displayed before submitting the task. If the balance is insufficient, the submission cannot be made. Use USDT (TRC20) for deposit, the minimum is about 50 USDT.

Question: Can I filter out US WhatsApp numbers that are “active + female in the past 7 days” at one time?

Answer: Yes. In the KK-DATA number screening task, check the enabled detection, active detection (set window is 7 days), and gender detection at the same time. After submission, the system will output numbers that meet the conditions at the same time. All tests are completed at once, and the result fields include number, activity status, gender, etc.


The above is a complete guide to obtaining and using US ws active data. From understanding the meaning of active windows, to actually configuring tasks in KK-DATA, hierarchically filtering lists, to applying it to private message promotion, community recruitment, e-commerce reach and other scenarios, every step is designed to help you improve the conversion efficiency of WhatsApp marketing.

Log in to the console now and start your first batch of active data screening!

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Document reference: https://docs.kkdata.cc/

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