Data Detection 10 Questions 10 Answers: FAQ Hub Guide for Obtaining Customer Numbers Overseas

In overseas marketing, data detection is a key link between “invalid number pool” and “accurate reach”. Whether you are using Telegram community operations, WhatsApp private message promotion, or Line/Zalo targeted customer acquisition, the first step is often to confirm whether the number is open, active, and reachable. This article contains 10 sets of high-frequency questions and answers, ranging from detection principles, billing methods, deduplication strategies to anti-fraud guides, to provide one-stop answers to your frequently asked questions about data detection. You can start operating it after reading it to reduce the cost of trial and error.

What is data detection? Why is it indispensable when acquiring customers overseas?

Data Validation/Phone Number Screening refers specifically to the B2B SaaS overseas scenario: Batch verification of the registration status, activity level, and even gender, age and other attributes of mobile phone numbers on target social platforms (such as Telegram, WhatsApp, Line, Zalo, iMessage, etc.).

• Waste of invalid data: Sending messages to unregistered numbers → failure + risk of account suspension; promoting to inactive accounts → low conversion + waste of resources.
• The value of valid data: Filter out numbers that are “activated + recently active + target gender” → high reach rate, high ROI, and low complaint rate.

For example, a typical Southeast Asian e-commerce team has 500,000 Indonesian numbers. After data testing, it was found that only 200,000 of them were registered for WhatsApp, of which 120,000 were active in the past 30 days and 65% were men. Based on this test result, they can accurately place products that male users are interested in, and increase the conversion rate of a single message by 3 times.

The most common 5 types of data detection scenarios (with high-frequency questions and answers)

Different platforms and different customer acquisition targets correspond to different detection needs. The following 5 questions and answers cover the scenarios you care about most:

How to tell if a number is registered with Telegram or WhatsApp?

Q: I need to know if there is a Telegram/WhatsApp account behind the number, but I don’t want to alert the user by sending a message.
Answer: This is the opening test (or registration test). The platform verifies whether the number has been bound by the corresponding platform through the interface. There is no need to send any message and no user notification will be triggered. The detection result directly returns “activated/not activated”.

• Applicable platforms: Telegram, WhatsApp, Line, Zalo, Viber, iMessage, etc.
• Typical usage: First activate the detection to screen out valid numbers, and then perform active detection on the valid numbers to save costs.

What exactly does “active detection” detect? How often does it take to update?

Q: Does activity detection detect the last time a user was online? How often does the data refresh?
Answer: Activity detection determines whether the account** has been used in a period of time** (such as last online time, message sending and receiving records, etc.). Different platforms have different update cycles:

• Telegram active: You can specify the active window (such as the past 7 days, 30 days, 90 days), and the detection is based on the last online status of the account.
• WhatsApp Active: Detects the last online time (some platforms support approximate days).
• Line Active: Determine whether there are recent usage records.
• Zalo Active: Also supports active window settings.

The data is not refreshed in real time, but based on snapshots obtained through the platform’s public interface. Actual testing experience: For a number segment tested once a week, the activity change is usually within 5%, so there is no need to worry about the test results being out of date.

Can the Line screen number determine the user’s gender? What’s the accuracy?

Question: We are doing female beauty products overseas and going to Thailand. I would like to know if the Line account can screen gender.
Answer: Yes. Line filter number supports activation/valid detection, and returns gender field (male/female/unknown), in addition to additional data such as age, uid, etc.

• Accuracy: Inferred based on user public information and associated data, not 100% accurate. If the gender of the account is not filled in, the result will be marked as “Unknown”.
• Best Practice: Use the gender field as an auxiliary filter and do not use it as the only basis for decision-making. It is recommended to test in small batches first, and then use manual sampling to verify the gender recognition rate before using it on a large scale. (See the section “How High is the Accuracy of Data Detection” in this article)

Billing method for data detection: Is it better to charge by item or by subscription?

The number of overseas business numbers usually fluctuates greatly: in the off-season, only tens of thousands of numbers may be detected each month, but in peak seasons (Black Friday and Double Eleven), millions of numbers may suddenly need to be detected. The subscription system (fixed package) can easily lead to waste or excessive expenses, while the item deduction model is more flexible.

• Deduction by item: No subscription package, recharge USDT (TRC20) to the balance, and deduct according to the actual detection volume after submitting the task. Pay what you use, and the balance can be used across tasks and platforms.
• Unit Price: Different platforms and different detection types (activated vs. active vs. gender) have different prices. For details, please check the real-time price in the console before submitting the task. The estimated cost is clear at a glance.
• Suitable scenario: Teams with large fluctuations in number pool size, need to control costs, and are unwilling to prepay for large packages.

Tips: If you can’t use it all, you don’t have to worry about “freezing” - the balance is valid for a long time (but not refundable). It is recommended to recharge in installments according to the budget to avoid leaving large amounts idle.

When using data detection tools, how to avoid wasting balances through repeated detection?

This is the easiest pitfall for novices: a batch of numbers is tested repeatedly in multiple tasks, and the same batch of numbers is tested twice, resulting in repeated deductions from the balance. The solution is data deduplication warehouse.

Operating steps:

1. Import all numbers to be detected into the deduplication warehouse, and the system will automatically identify and merge duplicate numbers.
2. Select the number after deduplication from the warehouse and submit the detection task.
3. Subsequent new numbers will also be imported into the warehouse first and then detected. The warehouse will record the detected numbers across tasks.
4. If the number has been detected, it will be skipped or not repeatedly deducted when submitted again (see platform deduplication rules for details).

This strategy is especially effective for teams with multiple batches of numbers on hand and multiple tasks being pushed forward in parallel.

Is “global number generation” considered data detection? How to cooperate with screening?

Many people think that “generating numbers” means data detection. In fact, the two are two independent steps:

• Generation: Randomly generate numbers that match the number ranges of various countries through algorithms (covering 240+ countries/regions). Generate for free, no fees incurred.
• Detection: Verify the generated number such as activation/activity/gender etc. Testing fee, fee will be deducted according to the item.

The standard pipeline is “Generate → Filter → Export”:

graph LR
    A[生成号码] --> B[开通检测]
    B --> C[活跃检测+性别筛选]
    C --> D[导出CSV/TXT]

Can the generated number be used directly for promotion?

**cannot. ** The generated number is only a “virtual number” that conforms to the number segment format, and is most likely to be an empty number. It must first go through at least one activation test to confirm whether the number is actually used by the user. Sending promotions without detection not only wastes costs, but may also be labeled as harassment by the platform.

What compliance issues should we pay attention to when generating numbers for 240+ countries?

• Comply with local regulations: For example, the EU GDPR requires user consent to send commercial messages; the US FCC has strict restrictions on automated calls and text messages; China’s Personal Information Protection Law, etc.
• Don’t harass frequently: Even if the number is detected as active, it does not mean that the user agrees to receive your promotion. It is recommended to send an unsubscribe reminder or double confirmation first to reduce the risk of complaints.
• Keep detection records: If you encounter a ban on the platform, you can show a screenshot of the results of the detection tool to prove that you are sending from a “verified number”, but the ultimate responsibility still lies with the promoter itself.

How to use the results after data detection? Which of the exported fields are the most important?

After the detection is completed, the platform supports exporting results in CSV/TXT format. Commonly used fields and uses are as follows:

Field	Description	Recommended Use
phone	Mobile phone number	Promotion ambassador/CRM import
tg开通 / ws开通	Whether to register for the platform	Determine the valid number pool
活跃天数	Recently online (such as 7d/30d/90d)	Select high reach window
性别	Male/Female/Unknown	Gender Targeted Marketing
年龄	Approximate age range	Targeting people around 30 years old
tgid / wsid / uid	Platform UID	Directly call API or import community
国家	Number country	Regional policy matching

Best Practice: After exporting, import the data into a CRM or private messaging tool, create tags based on activity + gender + age combinations, and then send content in batches. For example: a male number between 25-35 years old and active on Telegram is suitable for promoting games/tool ​​products; a female number between 20-30 years old and active on Line is suitable for beauty cosmetics/fast-moving consumer goods.

How high is the accuracy of data detection? What to do with wrong data?

• Activation detection: The highest accuracy (90%–99%), because it is relatively clear whether an account is registered.
• Activity Detection: There is a lag. For example, a user who has just registered but has not taken any action may be marked as inactive; or the user has not been online for a long time but the platform is still displayed as online (caching).
• Gender/Age Detection: Accuracy varies by platform. Most Telegram accounts do not set gender, and a high proportion of unknown accounts are returned. Line and Zalo cover more, but still have margins of error.

Fault Tolerance Method:

1. Small batch test: Test 500–1000 items first, and manually log in to your mobile phone to verify the results.
2. Cross detection: If the budget allows, the same batch of numbers can be tested twice (a few days apart) to obtain the intersection active data.
3. Set threshold: For example, set the “active window” to 30 days instead of 3 days to reduce misjudgments.

What are the three most common mistakes that novices who are new to data detection make?

1. Do not remove duplicates in advance Directly submitting numbers without deduplication will cause the same number to be detected multiple times and the balance will be burned in vain. Countermeasure: Use data to deduplicate warehouses, merge first and then detect.

2. Submit very large tasks (over one million items) at one time Although the upper limit of a single task on the platform is about 1 million, very large tasks will lengthen the queuing time, and the cost of making mistakes in the middle will be high. Suggestion: Split into 100,000-200,000 items/batch by country/region and submit in parallel to improve efficiency.

3. Ignoring the active window setting leads to misjudgment The default active window may be set too short (such as 1 day), resulting in many normal users being judged to be inactive. Countermeasure: According to your reach time window (for example, if it is a mass message and you can wait 30 days for a reply), select the corresponding window (7d/30d/90d). If you don’t know what to choose, it is recommended to first use a 30-day window to cover most of the effective users.

How to verify whether the data detection platform you are using is reliable? (anti-fraud guide)

Recently, there have been many cases of fake customer service or fake pages to defraud recharges. Keep the following points in mind when choosing a platform:

• Official channel verification: Be sure to obtain customer service contact information through the official website (such as https://kkdata.cc/); do not trust the “agent” or personal number found in the search.
• Two-way customer service: Formal platforms usually provide official Telegram Bot or channels. For example, KK-DATA uses https://t.me/kkdata_robot as a two-way contact entry, which allows you to submit tasks directly through the robot and receive notifications.
• Price Transparency: The platform should clearly give the real-time price (visible to the console) instead of hiding or quoting a total price.
• No low-price trap: If a platform’s price is much lower than that of its peers, but requires prepayment for a large package, you need to be wary. Under the normal pay-as-you-go billing model, you first recharge a small amount to test, and then add more if you are satisfied, with the lowest risk.

Summary: First check the official documents (such as https://docs.kkdata.cc/), verify the customer service Telegram ID, and then operate the recharge.

FAQ

**Q: Will data detection violate user privacy? ** Answer: Data detection only verifies whether the number is registered/active, and does not obtain chat content or private information. However, you must abide by local laws and do not frequently detect or send harassing messages to users who have not consented. It is recommended to clarify the data processing methods in the terms of service.

**Q: How many numbers can be detected at one time? ** Answer: A single task generally supports up to about 1 million numbers. If the number exceeds the limit, it can be submitted in batches; the platform recommends that priority be given to merging and deduplicating in the “Data Deduplication Warehouse” to reduce duplicate submissions.

**Q: How long will it take to get the results after the test is completed? ** A: It usually ranges from a few minutes to a few hours, depending on the task size and platform queuing conditions. You can receive notifications via Telegram when tasks are completed, so you don’t have to wait all the time.

**Q: Can I get a refund if the balance is not used up? ** Answer: The deduction model is adopted after recharging, and the balance is non-refundable and non-transferable. It is recommended to recharge in installments according to the actual budget to avoid a large amount of idle time.

**Q: Why does the detected gender result differ from the actual one? ** Answer: Gender recognition is based on public data or algorithmic inference, and the accuracy varies between platforms (for example, most Telegram accounts do not set gender). Please use the gender field as an auxiliary filtering condition and not as the sole basis for judgment.

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If you still have questions about data detection, or want to directly experience the whole process of “generate → filter → export”, you can:

• 👉 Log in to the console to start screening numbers: https://app.kkdata.cc/
• Two-way customer service (real-time Q&A): https://t.me/kkdata_robot
• Check official documentation: https://docs.kkdata.cc/
• Learn more about billing: https://kkdata.cc/billing/

From this point on, your data detection efficiency can be doubled.