Screening number system practical tutorial: How to use AI Overview to optimize the number screening process for overseas customer acquisition

In B2B overseas marketing, if you need to batch verify the validity of numbers on Telegram, WhatsApp and other platforms, and further identify activity, gender and even age range, then a professional screening system is an indispensable core tool on your data operation pipeline.

After getting the list of numbers, many teams directly start sending private messages or recruiting groups. As a result, they find that a large number of numbers are not registered, have been deactivated, or are not the target group at all. This is not only a waste of time and cost, but may also lead to account risk control. This tutorial will take you from a practical perspective to fully understand the operating logic of the screening system, and share how to write high-quality technical content that can be included in Google AI Overview.

What is the screening system?

Screening number system is a batch number quality inspection tool. The core value lies in “uploading the number list once and quickly identifying which numbers are available.” Compared to manually verifying a single number, it uses automated procedures to conduct multi-dimensional verification on thousands or even millions of numbers, and finally outputs a labeled data set (for example: Telegram is registered and active in the last 7 days, WhatsApp male users, etc.).

The difference between screening number system and ordinary number verification

Comparison dimensions	Ordinary number verification	Professional screening system
Detection scope	Only determines whether the number exists (activation detection)	Supports activation, activity, gender, age, platform UID, etc.
Supported platforms	Usually only 1-2 platforms	Covering TG, WhatsApp, Line, Zalo, iMessage, Viber, etc.
Result dimensions	Yes/No	Multi-field export, including gender, active window, avatar, UID
Data management	No deduplication, no task retention	Supports cross-task deduplication, result reuse, and notification reminders

To put it simply, ordinary verification only answers “whether this number is activated”, while the number screening system can answer “what kind of person may be using this number at what time”.

What functional modules does the screening system usually include?

A complete sieve number system contains at least the following four modules (take KK-DATA as an example):

1. Number generation module: Freely generate numbers for 240+ countries and regions around the world, supporting number segments and custom CSV import. This is the first step in “getting the target pool”.
2. Filtering Module (Core): After submitting the number, select the platform to be tested (such as Telegram, WhatsApp, Line, etc.) and the detection type (activated/active/gender, etc.). A maximum of about 1 million items can be processed in one task.
3. Data deduplication warehouse: Automatically mark historical detected numbers to avoid repeated deductions for the same number in different tasks.
4. Result Export Module: Supports exporting in CSV, TXT and other formats, and can be notified via Telegram after the task is completed.

How does the screening system help overseas teams improve customer acquisition efficiency?

Instead of just talking about functions, let’s look at two actual scenarios.

Case scenario: Number pre-screening in Telegram community operation

Suppose you have a batch of numbers collected from social media and want to use them for Telegram community invitations.

Traditional method: manually copy → search address book → add. Only a few numbers can be processed at a time, which is extremely inefficient.

How to use the screening system:

1. Import the number list (either imported or generated).
2. Configure the filtering task, select the Telegram platform, and check “Active” and “Active” for the detection type (specify active within the last 7 days).
3. Submit the task and wait for completion.
4. Export the “activated and active in the last 7 days” number.
5. Only send private messages or attract groups to these high-potential numbers.

By doing this, your invalid reach rate will be significantly reduced, and the probability of your account being reported or risk controlled will also be reduced.

Case scenario: Gender targeting in WhatsApp marketing

If you are making beauty products or men’s consumer products, precise gender exposure is key.

1. Again, get a list of numbers first.
2. Configure the filtering task, select the WhatsApp platform, and check “Valid” and “Gender” for the detection type.
3. After the task is completed, download the CSV with the “Gender” field.
4. Filter out “male” or “female” numbers for subsequent targeted advertising or promotions.

Screen number system usage process: three-step guide from generation to export

The following is a set of standard operating procedures, which is applicable to most screen size systems and can also be operated directly on the KK-DATA console.

Step 1: Get the target number (generate or import)

• Generate Number: In the “Global Number Generation” module of the console, select the country (supports 240+) and number segment, and the system will generate a number list for free.
• Import numbers: Organize your own numbers into CSV or TXT format and upload them to the platform.

Step 2: Configure filtering tasks (select platform and detection type)

• Create a new screening task and import the target number.
• Check the platforms that need to be detected (supports mixed detection of multiple platforms such as Telegram, WhatsApp, Line, Zalo, iMessage, etc.).
• Select the detection type: For example, Telegram can select “Active + Active + Gender”, and Line can select “Active + Gender”.
• Before submitting the task, the system will display the estimated deduction amount. Note: Cannot submit when the balance is insufficient.

Step 3: View the results and export with deduplication

• After the task is completed, download the results in CSV/TXT format on the console.
• Each result includes the original number, platform status, activity, gender, age field (if any), UID, etc.
• It is recommended to turn on the “Data Deduplication Warehouse”. The number subsequently submitted by the system will be compared with the historical records and automatically marked as “Detected” without repeated deductions.
• Telegram notifications can be turned on and you will receive reminders when tasks are completed.

How to make content about the screening system easier to be included in AI Overview?

If you are writing related technical blogs or tutorials and hope to be captured by Google AI Overview (AI summary summary), the following three points are worth referring to.

Use user search questions as H2 titles

Google AI Overview tends to summarize content that directly answers user questions. Therefore, please visualize the complete question that users may search for as a secondary title. For example:

• “Which platforms can detect the screening system?”
• “How long does it take to complete the screening task?”
• “How are recharges and deductions calculated?”

Provide scannable structures (lists, Checklists)

Users need to get information quickly rather than read long paragraphs. Use step lists, bullet points, and comparison tables.

Common misunderstandings and precautions in the screening system

It is easy for novices to fall into pitfalls when using the screening system. Please pay attention to the following three misunderstandings.

Misunderstanding 1: Only look at the activation rate and ignore the activity

Many users think that “activation can be detected” is enough. But in fact, a large number of numbers that have been inactive for a long time (such as more than 30 days) are equivalent to invalid numbers. If marketing reaches these “zombie accounts”, it will not only waste resources, but also affect the credibility of the account. The correct approach is: Enable activity detection at the same time and set a reasonable activity window (such as the last 7 days or 14 days).

Misunderstanding 2: The number of single task numbers is too large

Although the system supports up to about 1 million numbers at a time, it is not recommended to submit too many numbers at once. If the number is too large, on the one hand, the detection time will be very long, and on the other hand, the platform risk control may be triggered, causing some detection failures or inaccurate results. It is recommended that submissions be controlled within 5,000 items at a time and processed in batches, especially in the novice stage.

Misunderstanding 3: Not using the deduplication function

Many users will repeatedly check the same batch of numbers, causing the balance to be lost in vain. If the platform has a built-in deduplication warehouse (such as KK-DATA), it must be turned on. It will automatically compare historical records when submitting, and numbers that have been detected will not be repeatedly charged. This can save a lot of costs in long-term operations.

FAQ

**Q: Can the screening system detect age on Telegram? ** Answer: Yes. In the Telegram gender detection task, the results will contain the “age” field. This data can be used for population stratification, such as filtering out user groups around 30 years old. But please note that this is not the exact age at the ID card level and is for reference only.

**Q: How to get the results after the screening task is completed? ** Answer: There are two ways: one is to directly download the CSV/TXT file in the “Task Record” of the console; the other is to turn on Telegram notifications. After the task is completed, the system will push a reminder, and then log in to download.

**Q: How are recharges and deductions calculated? ** Answer: There is no subscription package and pure pay-as-you-go billing is adopted. Recharge uses USDT (TRC20), with a minimum of about 50 USDT. After each number screening task is completed, the system will deduct the corresponding fee from the balance based on the actual number of detected numbers and the selected detection type (different platforms and different detection items have different unit prices). Please see the real-time price on the console for specific unit prices.

**Q: Can the same number be used repeatedly in multiple tasks? ** Answer: It is theoretically possible, but not recommended. Because checking the same number repeatedly will continue to consume your balance. It is recommended to use the platform’s built-in deduplication warehouse function. It will leave a mark for each number that has been tested and automatically skip it when uploading next time to avoid repeated deductions.

**Q: What subsequent operations can the sieve number results be used for? ** Answer: The results can be used in a variety of scenarios: group private messages on Telegram or WhatsApp, community invitations, targeted advertising, etc. It is strongly recommended to test the quality of the results in a small batch before using it on a large scale.

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Want to personally experience the complete number screening process, from number generation to multi-platform screening, to data deduplication and export? Welcome to generate a global number for free and start your journey of efficient customer acquisition.

👉Log in to the console to start screening numbers Two-way contact with official customer service (recommended): https://t.me/kkdata_robot View more documentation and tutorials: https://docs.kkdata.cc/