Data detection practical guide: How to understand and configure active windows? Improve number screening efficiency

In the chain of overseas customer acquisition, “number screening” is the first key node that determines the quality of subsequent reach. Many teams only do “activation testing” - verifying whether the number is registered on a certain platform - but the real high-value users are those active users who have interacted recently. This requires the use of the activity detection function in Data Detection. This article will start with the concept of active windows, combined with the practical steps of the KK-DATA platform, to help you understand how to configure active windows to make the screening results more suitable for marketing goals.

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What is activity detection in data detection?

Active detection is an advanced screening based on the activated detection. The activation test only answers “whether this number is registered with Telegram/WhatsApp/Line”, while the activity test further determines whether the number has interactive activities within the specified time window (such as sending and receiving messages, joining groups, using applications, etc.). Active users are the audience who are truly likely to respond to marketing, participate in communities, and click on links.

For example, a number that is registered with WhatsApp but has not been online for half a year will be of little value to short-term promotional activities. Using activity detection to filter out such “dormant accounts” can significantly improve the conversion rate of subsequent contacts and reduce the amount consumed by invalid sending.

The KK-DATA platform provides activity detection capabilities covering mainstream social applications such as Telegram, WhatsApp, Zalo, Line, and iMessage. You can freely select the platform and detection type in the console.

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How to understand active window? The difference between the last 7 days, 30 days, and customized

Activity window is the time range examined by activity detection. For example, if it is set to “Last 7 days”, the system will determine whether the number has been active in the past 7 days. The shorter the window, the hotter the number that passes, but the lower the pass rate; the longer the window, the more users are covered, but the average activity may decrease. Understanding this is the prerequisite for properly configuring active windows.

Active window in the past 7 days: suitable for high-time-sensitive promotions

Applicable scenarios:

• Limited time sale starting in three days
• Live broadcast events, lottery draws and other activities that require immediate response
• New batch replenishment notification for hot-selling items

Advantages: The filtered numbers have the highest activity and usually have the best reply rate and click-through rate after being sent.
Disadvantages: The pass rate is low (maybe only 20%~30% of the total number of registrations), and the number of numbers obtained in one task is limited.

Active window in the past 30 days: taking into account both coverage and quality

Applicable scenarios:

• Regular brand promotion, community invitation
• Marketing campaigns that require quantity coverage but are unwilling to sacrifice too much quality
• as the median standard for the secondary screen size

Advantages: It balances the pass rate (usually 50%~70%) and user activity, and is the default choice for most teams.
Disadvantages: Some users may already be in a “low-frequency use” state, and the conversion rate is lower than that of people in the past 7 days.

Custom active window: Flexibly adapt to marketing rhythm

Some platforms (e.g. Telegram, WhatsApp) support custom days, such as 15 days, 60 days. You can customize it to suit your own marketing cycle:

• If you only send promotional emails once a month, you can set the window to more than 30 days
• If you are preheating for a certain festival, you can set it to 14 days before the event

Custom windows allow you to more precisely match the pace of your business and avoid “one size fits all.”

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How to configure activity detection in KK-DATA (data detection practice)

The following takes the Telegram platform as an example to demonstrate how to create an activity detection task in the KK-DATA console. All operations are done in the App Console.

Step 1: Select platform and detection type

1. Log in to app.kkdata.cc and click “New Task”.
2. Check Telegram in the platform list.
3. In the detection type area, you will see multiple options: Enable detection, Active detection, Gender detection, etc. Check Active Detection.

Note: If you want to obtain activation status and activity information at the same time, you can check “Activation Detection” and “Activity Detection” at the same time. The system will first determine activation and then perform activity detection on the numbers with activation status. In this way, the unit price will be higher than that of a separate test, but the results will be more comprehensive.

Step 2: Set active window and preview estimated costs

After selecting Active Detection, a drop-down menu for “Activity Window” will appear. By default, “Last 30 days” is displayed. You can change it to “Last 7 days” or “Customized number of days” (for example, enter 15) as needed.

At the bottom of the page, the system will automatically calculate the estimated cost based on the number of numbers you imported and the type of testing you selected. You can confirm whether your expenses are within your budget before submitting. KK-DATA adopts a per-item billing model and does not have a subscription package. For specific unit prices, please check the real-time price on the console or visit Billing Instructions.

Step 3: Submit the task and view the results

After confirming that the settings are correct, click “Submit Task”. The task enters the queue, and you will be notified via Telegram when completed (the robot needs to be bound in advance). On the task details page, you can preview and download the results file in CSV/TXT format. The exported fields usually include: number, whether it is activated, whether it is active, the last active time, tgid (Telegram ID), etc.

For the “Last Active Time” field in the activity detection results, you can sort by time in Excel to further filter out a more precise window. For example, if you want active users in the past 3 days, you can filter them after exporting.

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Common misunderstandings and precautions for active detection

Misunderstanding 1: The longer the active window, the more money you save.

Some friends think that the longer the window, the higher the pass rate, and you can get more numbers with fewer entries, thus saving money. But actually:

• The longer the window, the lower the average activity of the number, and the subsequent conversion rate will also decrease.
• If you need high-quality numbers, detection with a shorter window will get higher value users at the same unit price, and the overall ROI will be higher.

The correct approach: First determine the required activity based on marketing goals, and then select the appropriate window, rather than simply pursuing the pass rate.

Misunderstanding 2: The active detection result is equal to “online now”

Activity detection is based on historical data and there is no guarantee that the number is online at the moment. For example, a number was active yesterday, but may be turned off or muted today. If “real-time online” judgment is required, the “online detection” type supported by the platform should be selected. KK-DATA Some platforms (such as WhatsApp) provide online detection, please refer to the actual options on the console.

Misunderstanding 3: The active windows are the same on all platforms

The activity judgment logic of different platforms is different. For example, Telegram activity detection relies on channel/group interaction and last online time; Zalo may rely on recent message activity. So there are differences in window options: Zalo currently only supports 30 days, Line may support 7/14/30 days. Please be sure to confirm the available values ​​in the drop-down menu before submitting.

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Best practices for active data detection: How to use activation, activity, and gender detection in combination?

Many overseas teams will do a “package” screening: select activation, activity, and gender testing at the same time. However, this may result in higher unit prices, and some numbers may have been eliminated before entering gender testing, resulting in waste.

The recommended staged screening process is as follows:

1. Enable detection first: Run all numbers and filter out unregistered invalid numbers. This step is the lowest cost and can quickly reduce the effective number pool.
2. Reactivation Detection: Filter the active windows of already activated numbers to retain recently active users. This step is moderately expensive and has significant results.
3. Finally perform gender/age/other filtering as needed: Only further segment active users (for example, the age field in Telegram gender detection can be used to interpret people around 30 years old). This step accurately targets the target group and avoids making meaningless attribute judgments on inactive users.

Typical scenario: Promote women’s beauty products to Southeast Asia.
Steps:

• Step one: Import Vietnam + Thailand numbers and use Zalo activation detection to filter out valid numbers.
• Step 2: Perform Zalo activity detection in the past 30 days on the valid number to obtain active users.
• Step 3: Use Line gender detection for active users to filter out female users, and refer to the “female” tag in the Line gender results.

In this way, the final number pool is both active and accurate, and the conversion rate is much higher than that of all the numbers detected at once.

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The value of active detection in different overseas scenarios

Telegram Community Recruitment

If you operate a cryptocurrency, cross-border e-commerce, or online earning community, you need to continue to invite new members. Using Telegram activity detection + recent 7-day window, you can ensure that the invited users have recently joined/activated, reducing the proportion of “zombie followers” and increasing community activity.

WhatsApp Marketing Promotion

WhatsApp has extremely high penetration rates in Latin America, India, and Southeast Asia. However, although many numbers are registered, they do not often read messages. Through WhatsApp activity detection in the past 30 days, users who have communicated recently will be screened out, and the open rate of sending coupons and product links will be significantly improved.

Zalo Vietnam Customer Acquisition

Zalo is a Vietnamese national chat tool. Many foreign trade teams focus on the Vietnamese market, but Zalo accounts are strictly banned. First do the activation test to verify whether the number is available, and then do the activity test to filter out users who have recently received messages, which can effectively reduce the risk of account ban and increase the response rate.

iMessage US region promotion

iMessage activity detection is based on specific signals from Apple devices. The pass rate is low, but the value is extremely high (Apple users have strong spending power). For promotion to US iOS users (such as app downloads and subscription services), turning on iMessage activity detection and setting the window to the past 7 days can reach users who are actually using Apple devices and avoid sending messages to iCloud accounts that have not logged in for a long time.

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FAQ

**Q: What is the difference between active detection and activated detection? ** Answer: The activation test only verifies whether the number is registered on the platform; the activity test further determines whether the number has interactive behavior within the specified time window. Active detection results are more accurate, but the unit price is also higher. Both can be enabled at the same time, or activated first and then activated to save costs.

**Q: What is the most appropriate number of days to set the active window? ** Answer: There is no fixed value, it depends on the marketing goals. We recommend 7 days for short-term promotions and 30 days for regular reach. You can also test the pass rates of different windows in small batches before making a decision. For example, run 2,000 numbers first and try for 7 days and 30 days respectively to see which window of subsequent conversions is more in line with ROI requirements.

**Q: What platforms are supported for activity detection in KK-DATA? ** Answer: Currently, mainstream platforms such as Telegram, WhatsApp, Zalo, and Line all support activity detection. The details are subject to the console task creation page. iMessage and iOS device detection also include the concept of active, but the field may appear as “Active”, see Exporting Results.

**Q: Can active detection results be exported sorted by time? ** Answer: Yes. Export files often include a “Last Active” field, which you can sort and filter by in Excel or Python to further narrow down to a more precise window (such as the last 3 days). In this way, there is no need to submit tasks repeatedly, and the analysis caliber can be flexibly adjusted.

**Q: Why is my activity test pass rate so low? ** Answer: Possible reasons: ① The active window setting is too short (such as 7 days); ② The imported number pool itself has few active users (such as numbers obtained from old data sources); ③ The activity detection of some platforms (such as iMessage) relies on special signals, and the overall pass rate will be low. It is recommended to do an activation test first to see the initial pass rate. If the activation rate is lower than 50%, then it is normal for the active pass rate to be low.

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By properly configuring the active window and combining activation, activity, and gender detection, you can make every screening accurately serve your marketing goals. If you have any questions about the specific detection fields or operations of a certain platform, please feel free to contact us at any time.

👉Log in to the console to start screening numbers 👉 Two-way contact customer service: https://t.me/kkdata_robot For more usage tips, please refer to Official Documents or visit Official Home Page to view the latest features.