Comprehensive Guide to Sieve Numbering Systems: Best Practices for Multi-Platform Data Detection and Base Material Screening

In the field of B2B SaaS overseas customer acquisition, data quality directly determines marketing ROI. Whether it is Telegram community operation, WhatsApp private message promotion, or Line/Zalo’s local customer acquisition, the core value of the screening system lies in converting original numbers into usable marketing resources. It is not a simple number verification tool, but a complete pipeline covering global number generation, multi-platform social detection, activity judgment, gender identification and even data deduplication.

This article will systematically dismantle the working mechanism, core functions, selection framework, operating procedures and common misunderstandings of the screening system to help you establish a complete understanding from base material screening to accurate customer acquisition. Whether you are a data operation novice who is new to overseas marketing, or a team leader who wants to optimize the existing screening process, you can find practical suggestions here.

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What is the screening system? Why do you need it to acquire customers overseas?

Simply put, the screening system is a platform for batch detection of phone number status and attributes. It can determine whether a number has Telegram or WhatsApp, whether it has been active recently, the gender of the registered user (some scenarios include an age field), and whether it supports iMessage or RCS, etc.

The screening system and “sending messages in batches” are two essentially different links. Screen number comes first, sending comes last. First use the filtering system to filter out valid, active, gender-specific numbers, and then import this batch of high-quality data into the sending tool to avoid wasting budget on invalid numbers.

The difference between the screening system and traditional SMS/phone verification

The core of traditional SMS or phone verification is to confirm “whether the number can currently be connected.” The verification result usually only has two statuses: “connected” or “not connected”. The screening system has richer detection dimensions:

• Activation detection: Confirm whether the number is registered with the target social platform (such as Telegram activation, WhatsApp activation).
• Activity Detection: Determine whether the number has a login record within a specific time window (such as active within 30 days).
• Gender Identification: Infer the user’s gender through platform-related information (some platforms support fields such as age, race, etc.).
• ID Export: Export unique identifiers such as tgid, wsid, uid, etc. in the detection results for subsequent orientation.

These dimensions are not available in SMS verification. For overseas teams, the combination of activity + gender often has more marketing value than simply “being accessible”.

Why is the overseas customer acquisition team inseparable from the screening system?

What would happen if you got a list of 100,000 overseas mobile phone numbers and used it directly for Facebook ads or Telegram mass messaging?

• A large number of numbers may have never registered on the target social platform, sending request = 0 reach.
• Although some numbers have been registered, the users have not logged in for half a year and the messages have been flooded.
• The male gender ratio is too high or too low, causing the marketing rhetoric to be misaligned with the target group.

These problems can be avoided by just passing the screening once. The essence of the screening system is to “clean and classify” your data pool so that every subsequent marketing step can be based on more certain data. Especially on high-reach platforms such as Telegram and WhatsApp, filtering has become a standard pre-processing process.

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What are the core functions of the screening system?

A mature screening system usually consists of three major modules: number generation, multi-platform screening, and data deduplication. The table below helps you quickly establish a panoramic understanding of functions.

Module	Function	Description
Number generation	Random global number generation	240+ countries/regions, free to use
Number generation	Global number segment generation	Batch generation of number segments by country or operator
Number generation	Custom number segment CSV import	Support uploading your own number segment list
Multi-platform screening	Telegram screening	Activation detection, activity detection (custom window), gender/age identification, tgid export
Multi-platform filter ID	WhatsApp filter ID	Activation, active, gender and other fields (see the console for details)
Multi-platform filter number	Line filter number	Activation, validity, gender detection (male orientation, etc.), uid export
Multi-platform filters	Zalo filters	Open, active, gender (for Vietnam/Southeast Asia)
Multi-platform screening number	iMessage screening number	iOS device detection, blue number/iMessage valid number
Data deduplication	Cross-task deduplication warehouse	Automatically compare historical tasks to avoid repeated deductions

What platforms and dimensions does the multi-platform social filter cover?

Social platforms currently supported by mainstream screening systems usually include: Telegram, WhatsApp, Line, Zalo, iMessage, RCS, Viber, Facebook, Instagram, Binance, LinkedIn, etc.

Different platforms have different detection types. Take Telegram as an example:

• tg activation: Confirm whether the number is registered with Telegram. This is the most basic filtering.
• tg active: further determine whether the number has logged in within the specified time window (such as 7 days, 15 days, 30 days). The longer the active window, the more numbers are returned, but the accuracy decreases.
• telegram gender data: The system infers the user’s gender and age group (such as “about 30 years old”) through associated information. This field is particularly important in community operations - you can filter out specific gender + activity combinations to greatly improve the matching of private messages.

It is worth noting that the age field is based on statistical model inference and is not precise data at the ID card level. In practical applications, it is sufficient to set the direction of marketing rhetoric, but it should not be used as the sole basis for decision-making.

For iMessage marketing scenarios, the screening system can pre-detect iOS device or blue number status. The core of iMessage Screening is to first confirm whether the number is running on the iOS device, and then determine whether it supports iMessage sending. Performing device detection first and then blue number detection can significantly reduce invalid sending.

Combination gameplay of number generation and screening

Another common scenario for screen number systems is global number generation. Many customer acquisition teams do not have a ready-made number pool on hand, or they want to start attracting customers from specific countries/regions. At this time, the number list of the target area can be directly obtained through the number generation module.

The combination gameplay is as follows:

1. Select the target country (such as Indonesia, Vietnam, Mexico) in the number generation module.
2. Generate the specified quantity (free, unlimited number of items).
3. Import the generated results into the screening task and select the platform to be tested (such as Line, WhatsApp).
4. Configure detection dimensions (such as activated + active).
5. Export the filter results.
6. Import valid numbers into the data deduplication warehouse to avoid repeated detection.

The pipeline of “Generate → Filter → Export → Deduplicate” can transform a zero-based team into a marketing force with an accurate number pool in a few minutes.

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How to choose a screening system suitable for your team?

Screening tools on the market have different functions, but the more complex the better. You can evaluate it from four dimensions:

1. Platform coverage

Which social platforms do you mainly use for customer acquisition scenarios? If you focus on TG community operations, then Telegram’s full-dimensional detection (especially gender and activity) is more important than WhatsApp detection. On the contrary, if you are targeting Southeast Asia for Line/Zalo launch, the availability of Zalo detection is a key item.

2. Data dimension richness

For the same “screen number”, some systems only return “activated/not activated”, and some can also return “active/inactive” and “male/female”. The more dimensions of data there are, the greater the space for subsequent hierarchical operations. For example, for TG communities, you can filter out numbers that are “active in the past 30 days + female” to do a specific vocabulary test; for WhatsApp private messages, you can give priority to accounts that are “highly active + have been registered for a long time”.

3. Billing model: per item vs. package

This is an issue that is easily overlooked but actually affects the cost structure. The subscription package model is usually suitable for long-term and high-volume teams, but the threshold is high and the monthly payment pressure is high; the billing model is much more flexible, the cost of small-volume testing is low, and large-scale use is only linked to the actual detection volume. Taking KK-DATA as an example, it adopts the recharge balance + per-item deduction model. There is no subscription package. For details of the unit price of each test, please see the real-time price on the console. This method is especially suitable for independent station teams or studios in the initial stage, and the detection volume can be flexibly adjusted according to the budget.

4. Scalability

-Single task upper limit: Can it handle hundreds of thousands or even millions of numbers? (KK-DATA supports up to about 1 million items at a time)

• Export format: Does it support common formats such as CSV, TXT, etc.?
• Notification mechanism: Is there a Telegram notification after the task is completed?
• Deduplication capability: Is there cross-task data deduplication to avoid wasting costs of repeated detection?

Data dimensions (activation, activity, gender) directly affect subsequent marketing conversions. Opening the test determines “whether you can send it”, activity level determines “whether you can read it”, and gender determines “how you send it”. The more precise the combination of the three, the more likely it is that the marketing conversion rate will increase.

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Complete operation process of screening number system: from original number to accurate data

The following is a complete operation process using KK-DATA as an example, which is applicable to most screen size systems. The steps are highly reproducible and are recommended for collection.

Step 1: Get the original number

• Via number generation module: select country, generate quantity (free).
• Import via your own number segment (upload in CSV format).
• List of numbers purchased or collected through a third party (make sure the source is legal).

Step 2: Import the screening task

Create a new task in the console, paste a list of numbers or upload a CSV file. The system will automatically recognize the number format and will give a prompt if there is an invalid number.

Step 3: Configure detection dimensions

Select the target social platform (Telegram, WhatsApp, Line, etc.) and check the dimensions that need to be detected. Common combinations:

• Telegram: open + active for 30 days + gender
• WhatsApp: open + active
• Line: open + gender (male)
• iMessage: iOS device detection + blue number detection

Step 4: Execute screening number

Before submitting a task, the system will display an estimated cost. After confirming that it is correct, click “Start Screening”. After the task is submitted, it will run automatically in the background and you can close the page. Receive notifications via Telegram when tasks are completed.

Step 5: Export results

Enter the task details page of the console, select the required fields (such as number, platform activation status, active status, gender, tgid, etc.) and export to CSV or TXT.

Step Six: Data Deduplication

Import the valid numbers exported this time into the data deduplication warehouse. The next time you create a new task, the system will automatically exclude numbers that have already been detected to avoid repeated payments.

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Common scenarios and best practices for screening systems

Telegram community operation: activity + gender filtering makes private messages more accurate

Scenario: You run a TG public group for Latin American users and want to send targeted invitations to “male users who have been active in the past 15 days.”

Best practice: Do a TG activation test first and filter out unregistered numbers from connectivity. Then set the active window to 15 days to filter out active users. Finally, turn on gender detection and export male numbers. The average reach rate and response rate of the number list obtained in this way are significantly higher than that of the unfiltered random list.

WhatsApp private message promotion: valid number + activity to ensure reach rate

Scenario: You want to send WhatsApp product information to the Southeast Asian market.

Best practice: WhatsApp’s activity detection is more sensitive than Telegram’s because WhatsApp users are generally more stable. It is recommended to give priority to the combination of “activation detection + active detection” to filter out inactive numbers (not logged in for more than 30 days). Reserved numbers can be imported directly into the WhatsApp sending tool.

Line/Zalo Customer acquisition in Southeast Asia: local number generation + introduction to activation detection

Scenario: You enter the Vietnam/Indonesia market for the first time and there is no local number pool.

Best practice: Select “Vietnam” or “Indonesia” in the number generation module to generate 5,000 local numbers. Then use Line or Zalo’s “Open Detection” to filter out registered users. If the budget is sufficient, gender detection can be further added for targeted promotion.

iMessage Blue Account Marketing: iOS device detection is preset to reduce invalid sending

Scenario: You want to do iMessage blue account marketing to American users.

Best practice: Do an iOS device test first to confirm that the number is running on the iPhone. Only numbers that pass the equipment test will have the opportunity to enter the blue number test stage. This avoids wasting detection resources on Android numbers. In the iMessage scenario, device detection is a key link in controlling costs.

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Guide to avoid pitfalls in screen numbers: Have you ever encountered these common misunderstandings?

Myth 1: “The more numbers, the better.”

Fact: The number of numbers is not directly proportional to marketing effectiveness. A rough number pool may be over 60% invalid, inactive, or of the targeted gender. The value of the screen number system lies precisely in subtraction. Using activity detection to filter out zombie accounts and using gender screening to target target groups are often more effective than “casting a wide net”.

Myth 2: “Low activity numbers can also be used, and it doesn’t matter if you send one or two occasionally.”

Fact: For numbers with low activity (such as not logging in for more than 90 days), users may have abandoned or switched platforms. After sending the message, it cannot be reached, and the platform may detect a high abnormality rate, resulting in the sending account being banned. Keep at least the “Active in the last 30 days” filter.

Myth 3: “The cost is controllable if the same batch of numbers is tested repeatedly.”

Fact: Duplicate testing is a common waste. If you do multiple screenings with the same batch of numbers at different times, it is equivalent to paying again for the numbers that have already been tested. Using a data deduplication function (such as KK-DATA’s deduplication warehouse) can solve this problem. The system automatically compares historical records when submitting a task, and there will be no charge for detected numbers.

Myth 4: “Gender detection is 100% accurate.”

Fact: The gender fields (including age, race, etc.) of social platforms are inferred based on statistical models or related information, and are not accurate at the ID card level. In marketing practice, it is sufficient for speech testing and crowd targeting, but it should not be used as the sole basis for decision-making. It is recommended to combine cross-validation with other dimensions (activity, region).

Myth 5: “After the screening is completed, there is no need to worry about deduplication.”

Fact: Screen numbers are just one part of the assembly line. If you use the filtered numbers directly for sending without cross-task deduplication management, the same batch of numbers may be detected twice when the numbers are screened again next month. Establishing a habit of data deduplication can significantly reduce long-term operating costs.

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Screen number system and data compliance: prerequisites that cannot be ignored for overseas marketing

When operating in the EU, GDPR requires you to have a clear legal basis for the collection, storage and use of user data; in California, the US CCPA requires disclosure of the purpose of data collection. Even the screening system itself can only perform detection on legally acquired numbers - you cannot enter illegally crawled or purchased numbers into the screening system.

The key point is: Screen numbers do not constitute “marketing permission”. The test results only tell you whether a number is registered on a certain platform, whether it is active, and what its gender is, but it does not mean that the user agrees to receive your commercial messages. Before sending private messages or promotions, be sure to confirm the compliance requirements of your target market and provide clear unsubscription methods in your message.

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FAQ

**Q: Is the screening system a one-time payment or a pay-as-you-go payment? **

Answer: Mainstream screening platforms (such as KK-DATA) adopt a per-item billing model and do not charge subscription package fees. The user first recharges the balance, and after each screening task is completed, the corresponding fee is deducted from the balance. In this mode, the cost of small-volume testing is low, and when used in large quantities, the cost is linked to the actual detection volume. For specific unit prices, please see the real-time price on the console.

**Q: Can the number screening system detect overseas numbers? Which countries are supported? **

Answer: Yes. Most common screening number systems support number detection in 240+ countries/regions. Taking KK-DATA as an example, the number generation module can directly generate global numbers by country/region. The number screening module also covers mainstream countries around the world and cooperates with platform detection such as Telegram, WhatsApp, and Line.

**Q: What does “30 days active” in Telegram activity detection mean? **

Answer: It means that the number has a record of logging into Telegram in the last 30 days. Users can customize active windows (such as 7 days, 15 days, 30 days) according to marketing scenarios (such as private message timeliness requirements), and the platform performs judgments based on detection windows. The specific window range is subject to the console options.

**Q: Can the number screening system process hundreds of thousands or even millions of numbers in batches? **

Answer: Most commercial screening systems support batch processing. For example, KK-DATA supports up to about 1 million numbers in a single task. After the task is submitted, it will run automatically in the background, and you will be notified through Telegram when completed. The balance of a single task must be greater than the estimated cost. Please see the console for details of the unit price of each test.

**Q: What is the use of the fields (tgid, wsid) exported after the filter number? **

Answer: tgid (Telegram user ID) and wsid (WhatsApp user ID) are unique identifiers within the platform. After exporting, it can be used for targeted push, group invitation record matching, or CRM system labeling. In follow-up marketing, cross-platform data analysis is easier to do by ID than by number.

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The screening system is the first and most important level in the overseas customer acquisition chain. From number generation to multi-platform detection, from activity filtering to gender targeting, every link provides a more certain data basis for subsequent marketing activities. If you are looking for a screening system that supports multiple platforms, pays by volume, and has intuitive operation, it is recommended to start with small batch testing and then scale up after becoming familiar with the workflow. 👉 Log in to the console to start screening numbers, or you can get operational guidance through Two-way Contact Customer Service. For more detailed function descriptions, please refer to Usage Documentation.