Base material screening and screen number system: Who goes first and who comes last? How to combine to improve customer acquisition efficiency?

In overseas marketing, base material screening (number generation and batch verification) and screening system (on-demand detection of activity, gender and other fine fields) are often confused. In fact, they are two different links in the customer acquisition data process - the base material screening is responsible for “sea selection”, and the screen number system is responsible for “fine screening”. Only by understanding the difference between the two and using them in combination can you get the highest conversions at the lowest cost on platforms such as Telegram, WhatsApp, and Line.

This article will break it down from the perspectives of definition, comparison, combination operations, common misunderstandings, etc., and provide practical suggestions on the KK-DATA platform to help you build an efficient “number generation → screen number → deduplication → export” pipeline.

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What is base material screening? ——Basic concepts of number generation and screening

Basic material screening refers to generating or importing a list of numbers in the early stage of overseas customer acquisition, and then batch verifying whether these numbers have been activated on the target platform (such as Telegram, WhatsApp, Line, etc.), thereby obtaining a “reachable” basic list. This process usually involves two steps:

1. Number generation: Use number segments or random algorithms to generate potential mobile phone numbers in a certain country/region (such as Indonesia, Thailand, Vietnam number segments).
2. Batch verification: Check whether these numbers have been registered on the designated platform (i.e. “activated” status), and remove invalid numbers.

The core value of base material screening is to filter out “unreachable” numbers before investing in promotional resources (such as private messages and group invitations) to avoid wasted costs.

Common methods of base material screening: manual sorting vs automated tools

Manual sorting: The team manually collects the public number segments, uses Excel to splice the numbers, and then uses ordinary mobile phones to detect them one by one. The disadvantages are obvious:

• Extremely low efficiency: Processing several thousand items per day is the upper limit, and millions of requests cannot be completed.
• Short validity period: The compiled list may be out of date (for example, the number has been canceled).
• Data accuracy is uncontrollable: Gender and activity cannot be determined, and only the binary result of “activated/not activated” can be obtained.

Automated tools (such as KK-DATA’s number generation and screening system) can:

• Generate numbers in batches by country, operator, and number segment, and it is completely free (no fees will be charged for generation).
• Simultaneous detection across platforms (Telegram, WhatsApp, Line, Zalo, iMessage, etc.), supporting approximately 1 million messages in a single task.
• Built-in deduplication warehouse to avoid wasting balance through repeated detection.

Core indicators for base material screening: opening rate, activity, gender, etc.

Many teams only look at the “activation rate”, but the response rate after being contacted by activated and inactive numbers is extremely low. Indicators that you should really pay attention to when acquiring customers overseas include:

• Activity: Whether the number has been online in the recent period. For example, Telegram activity detection can specify a window (1 day, 7 days, 30 days) to filter out “zombie accounts”.
• Gender: Some platforms can identify the gender of the number owner and use it for targeted push (such as advertising of male products to male groups).
• Age/Avatar: More detailed tags to improve copywriting matching.

KK-DATA’s Telegram filter number supports the “tg active” and “telegram gender” fields. The latter contains gender, age and other data, and can be used to screen people around 30 years old (note: the age field is inferred by the model and is not accurate at the ID card level, but it can meet operational level requirements).

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What is the difference between screen number system and base material screening?

To put it simply, the bottom material screening is “one-time selection”, and the screen number system is “two-time fine selection”**. The following comparison table helps understand:

Dimensions	Base material screening	Sieve number system
Core link	Number generation + batch verification activation	Detect activity, gender, age, platform ID, etc. of activated numbers
Processing method	One-time (run all the specified number segments)	On-demand, repeatable (detect multiple times for different targets)
Data aging	Short validity period (activation status changes slowly, but still fluctuates)	Activity changes quickly, usually requiring re-screening in 1–2 weeks
Output fields	Activated/unactivated (some supported platform types)	Activity, gender, age, tgid/wsid/uid, etc.
Billing Mode	Generate for free; verify and charge by item (see the real-time price on the console for details)	Deduct by item, different unit prices are different for different types (see the console for details)
Applicable scenarios	Contacting a new market for the first time, building a target list from scratch	Refining the existing list to improve conversion efficiency

Judgment in one sentence: If you just want to quickly know “which numbers can send messages”, just do the base material screening; if you want to “send to the most active and most matching people”, you need to superimpose the screen number system on the basis of the base material screening.

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How to combine base material screening and screen numbering systems into one assembly line?

Use them in combination to achieve maximum value. Recommended process:

号码生成（免费） → 底料筛选（开通验证） → 筛号系统（活跃/性别检测） → 去重仓库 → 导出 → 定向触达

KK-DATA has realized a closed loop of the entire process: from “global number generation” to “cross-platform number screening” to “data deduplication warehouse”, all can be operated on the same console. The following is illustrated through two real-life scenarios.

Scenario 1: Telegram community traffic

Goal: Push pet product ads to Thai Telegram users.

1. Number Generation: Select “Thailand Number Segment” in KK-DATA to generate 50,000 mobile phone numbers (free).
2. Basic material screening: Submit the detection task, check “tg activation”, and eliminate numbers that are not registered with Telegram. Assume that the remaining 30,000 are opened.
3. Screen number system: Run “tg active (within 7 days)” and “telegram gender (screen male, age 25-35)” on these 30,000 numbers. Assume 8,000 active males remaining.
4. Remove duplicates: If there is a list that has been run before, remove duplicates first to avoid repeated detection (the duplicate detection warehouse will automatically deduct the detected number).
5. Export: CSV export, including tgid, activity, gender, and age fields, for subsequent automatic addition of followers or invitations to the group.

In this way, the 8,000 people you reach may have a response rate 5–10 times higher than directly reaching 50,000 people, and save a lot of private message costs and account risks.

Scenario 2: WhatsApp private message promotion

Objective: Promote cross-border e-commerce offers to Indian WhatsApp users.

1. Basic material screening: Import the CSV of Indian numbers obtained from other channels, first detect “WhatsApp activation” and remove unactivated numbers.
2. Screening system: Detect “WhatsApp active (last 3 days)” and “Gender (female priority, for beauty products)” on the opened number.
3. Export: Only export active and gender-matching numbers, and use the wsid field to support subsequent accurate sending.

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Why is your base material screening effect poor? ——Common misunderstandings and corrections

Many teams invest significant resources in generating numbers and verifying activation, but end up with low conversion rates. Check for the following misunderstandings:

Misunderstanding 1: Only look at activation, not activity Being activated does not mean that the other party will read the message in the near future. A large number of “zombie accounts” occupied the push quota, resulting in falsely high reach rates but dismal response rates.
Correction: After enabling detection, be sure to superimpose activity detection (such as tg active for 1 day, WhatsApp active for 7 days).

Misunderstanding 2: Screening once and not updating The number’s activity and gender label will change over time (for example, the user changes their mobile phone or cancels their account). A “base material” from half a year ago is almost ineffective.
Correction: For core target groups, it is recommended to rescreen activity every 1–2 weeks.

Myth 3: Not calculating conversion costs Only pursue “more” and ignore “accuracy”. For example, if 100,000 activated numbers are screened out, but only 1,000 are active and gender matching, then the actual effective cost is “100,000 × unit price” rather than “1,000 × unit price”.
Correction: Use the filtering system to filter out invalid numbers, and only pay for the final valid list. KK-DATA’s pay-per-item and no-subscription package means that you only pay for the numbers that are actually detected - fees are deducted for each item detected, and new tasks cannot be submitted when the balance is insufficient to avoid waste.

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How long is the validity period of the data for base material screening? ——How long does it take to rescreen?

• Activation status: The change is relatively slow, but it will still be affected by number recycling and platform ban. It is recommended to re-run the activation test every 1-2 months (for number segments that have not been reached for a long time).
• Activity: Changes quickly. For example, in the old data of “tg active for 7 days”, 30% of the numbers may become inactive after a week. Core active audiences are recommended to re-screen once a week.
• Gender/Age: Once the label inferred by the model is determined, it is basically stable when the number does not change owners, and there is no need to frequently re-detect the gender.

When re-screening, it is recommended to use KK-DATA’s data deduplication warehouse: the system will automatically record the detected number, and it will be skipped if the same number is submitted repeatedly, without any additional deductions. In this way, you only need to pay for new numbers or numbers whose status changes, and the cost is controllable.

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How to choose a reliable screening system?

When evaluating a screening system, focus on the following dimensions:

1. Detection accuracy: The lower the false pass rate, the better. Testing can be manually verified with small samples.
2. Number of platforms covered: Whether it supports common platforms such as Telegram, WhatsApp, Line, Zalo, iMessage, RCS, Facebook, Instagram, Binance, and LinkedIn.
3. Fine field support: whether tgid/wsid/uid can be exported for subsequent automated contact; whether there are gender, age, avatar and other tags.
4. Billing Flexibility: No subscription packages, deductions based on items, pay as you use, to avoid being tied to monthly fees.
5. Deposit Convenience: Whether anonymous deposit of USDT is supported, and the minimum threshold is reasonable (the minimum for KK-DATA is about 50 USDT).
6. Deduplication and re-running capabilities: Whether there is a cross-task deduplication warehouse to avoid wasting balances through repeated testing.

KK-DATA has all the above dimensions: supports 14+ platform screen numbers, rich fields (including activity, gender, age, tgid, etc.), billing by item, USDT recharge, and built-in deduplication warehouse. Please see the real-time price of the console for the specific unit price**. The platform is priced according to different detection types.

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Summary: Best Practices for Base Material Screening + Sieve Size System

Base material screening and screen number system are not two alternatives, but two complementary links. **The best practice is: first use the number generator to obtain the target number segment, and quickly obtain the activation list through base material screening; then use the screening number system to conduct detailed detection of activity, gender, etc., to obtain truly convertible high-quality clues; cooperate with the deduplication warehouse to reuse historical data, and only pay the cost of new detection each time. **

This “Generate → Filter → Deduplicate → Export” pipeline can reduce customer acquisition costs by more than 50%, while improving private message response rates and community activity. If you are having trouble acquiring customer data overseas, you might as well try this path.

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

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FAQ

**Q: Are base material screening and screen number system the same thing? ** Answer: No. Base material screening usually involves the generation of nail numbers and batch verification (such as activation or unregistered); the screening system performs more detailed detection (activity, age, gender, etc.) of the screened numbers, which is “secondary screening”.

**Q: Is the screening system a one-time test or does it require repeated testing? ** Answer: Regular repeated testing is required because the activity of the number and gender label will change over time. Taking Telegram as an example, it is recommended to run a tg activity check on the target batch number every 1-2 weeks to ensure reach efficiency.

**Q: How to ensure that the numbers obtained through base material screening are of the highest quality? ** Answer: The key is to make “generate → screen number → deduplication” into a closed loop: first use the number generator to generate or import the list, then use the screen number system to detect activity/gender/platform type, and finally use the deduplication warehouse to avoid wasting balances through repeated detection.

**Q: Can the numbers selected for base material screening be used across platforms? ** Answer: The activation status of the same number on different platforms is different (for example, some numbers are activated for WhatsApp but not registered for Telegram). It is recommended to detect each platform separately instead of assuming that one number is valid on all platforms.

Q: I am a newbie and just want to test it first. Is there a minimum recharge? ** Answer: The minimum recharge of KK-DATA is about 50 USDT (TRC20). After recharging, the balance can be used forever. There is no subscription package. The system will display the estimated cost before submitting the task, and you can test it in small batches before deciding whether to increase investment. For detailed prices please see the real-time price on the console**.