What is base material screening? The relationship between definition, target and filter number - a required course for acquiring customers overseas

In overseas marketing, base material screening is a key pre-processing step that determines customer acquisition efficiency and cost return. Many teams spend a lot of budget to purchase or collect a large number of mobile phone numbers, but blindly send messages without effective screening, resulting in high risk of account suspension and bleak conversion rate. This article will systematically explain base material screening from the aspects of definition, goals, tool implementation and future trends, and reveal the essential relationship between it and screen number (number detection).

Definition of base material screening: Why is it the “first step” in overseas marketing?

Basic screening refers to extracting high-quality data collections with “accessibility + marketing value” from the original number pool (which may include unactivated, invalid, inactive or non-target groups) through multi-dimensional detection and attribute identification. This data collection is like the “base” in cooking, and is the raw material for subsequent private message promotion, community operations, CRM contact and other actions.

Base material screening vs. screen size: the boundary and intersection of the two terms

• Screening focuses on the specific actions of “detecting number status”, such as determining whether a number has been activated for Telegram and whether it has been active in the last 7 days.
• Base material screening puts more emphasis on the “filtered available data set”. It is not only status detection, but also includes the processing and output of attribute fields such as gender, age, platform identification (such as tgid/wsid/uid).

In the actual overseas customer acquisition scenario, the two are inseparable: screen number is the core technical means of base material screening, and base material screening is the upper-level application of the screen number results. A complete base material screening process usually includes: number generation/import → cross-platform filter number → attribute extraction → deduplication → exporting a list that can be used in groups.

Why must overseas teams pay attention to base material selection?

Many teams have used the “blind sending” strategy: purchasing a batch of numbers and sending marketing messages in batches without verification. This approach brings three major pain points:

1. Waste of costs: A large number of numbers are invalid or not activated, messages are sent but never arrive, and communication costs and energy are wasted.
2. Account Banning Risk: The proportion of invalid numbers in the sent target numbers is too high, and the platform can easily judge it as malicious behavior, resulting in the account being blocked.
3. Low conversion rate: Even if some numbers are valid, but the other party is inactive and the gender does not match, it is difficult to generate effective interaction.

After base material screening, you can ensure that each message is sent to users with “open+active+target attributes”, thereby increasing ROI while reducing risks. According to industry experience, the effective activation rate of high-quality base materials is usually above 80%, while the activation rate of unscreened number pools may be less than 50%.

The three core goals of base material screening: effective, active and accurate

In overseas marketing, base material selection needs to achieve three hierarchical goals:

Target layer	Meaning	Impact on customer acquisition
Valid	The number has been activated on the target platform (such as Telegram/WhatsApp)	Avoid sending to empty accounts and reduce the probability of account ban
Active	Recent online behavior (such as active in the last 7 days/30 days)	Ensure the best time to reach and increase the immediate response rate
Accurate	With portrait attributes such as gender, age, platform ID, etc.	Support group operations (such as male users, people around 30 years old) to improve conversions

These three levels of goals progress layer by layer. For example, only detecting the activation status can avoid invalid sending, but if you add activity detection, you can avoid those “zombie accounts” that are activated but have not logged in for a long time. Combined with the gender or age fields, differentiated copywriting or product push strategies can be developed for different groups of people.

KK-DATA How to realize the automated assembly line for base material screening?

KK-DATA is a customer acquisition data screening platform for overseas teams. Through the pipeline of “Generate→Screen→Remove Duplication→Export”, it changes the screening of base materials from manual detection to an automatic task that can be batched and configured.

Step 1: Generate or import number pools in batches

The first step in base screening is to obtain candidate numbers. KK-DATA supports two methods:

• Global Number Generation: Random number generation covering 240+ countries/regions, you can specify the country, number segment, and quantity, completely free of charge.
• Custom number segment import: If you already have a target country number segment (such as a number segment starting with Vietnam +84), you can import it through CSV, and the system will automatically parse and include it in the filter range.

After generation or import, the number enters the queue to be detected. At this time, it is still “raw material” and needs to be filtered in the next step.

Step 2: Multi-dimensional screening (activation, activity, gender)

In the KK-DATA Console you can configure detection types for different platforms:

• Telegram Screen Number: Detect tg activation (registration status), tg activity (the active window can be specified, such as the last 3 days/7 days/30 days), Telegram gender data (the results include gender, age and other fields, which can be used to filter people around 30 years old). At the same time, the tgid can be exported for subsequent precise group joining or private messaging.
• WhatsApp Screener: Detect WhatsApp activation, activity, and gender (fields are subject to console export).
• Line Screen Number: Detect Line activation/validity, Line gender (supports male orientation), and export uid.
• Zalo Screener: Zalo activation, activity, gender detection for Vietnam/Southeast Asia market.
• Other platforms: iMessage/iOS, RCS, Viber, Facebook, Instagram, Binance, LinkedIn, etc.

A single task supports up to about 1 million numbers, and the system automatically executes it after batch submission. The estimated cost will be displayed before the task is submitted, and the deduction will be calculated on a per-item basis (no subscription package). For actual unit prices, please see the real-time price on the console.

Step 3: Data deduplication and balance protection

Different tasks may contain duplicate numbers, which wastes balance if duplicated. KK-DATA has a built-in data deduplication warehouse that automatically identifies duplicate numbers across tasks to avoid repeated deductions. Although this step is inconspicuous, it can save considerable money for teams that use screen numbers for a long time.

Best Practices for Base Screening: How to Avoid Common “Scrap” Traps?

Even with professional tools, “waste” may still be produced if not handled properly. The following experiences are available for reference:

1. Avoid using outdated data: The validity of the number will decay over time. A number that passed the test a week ago may have been canceled a month later. It is recommended that base screening be completed within 48 hours of the official marketing campaign.
2. Set active windows for different platforms: Users on different platforms have different active habits. For example, Telegram users may be active every day, while Line may have longer periods in some countries. The active window can be adjusted appropriately based on the target market (e.g. 7 days/14 days).
3. Reasonable use of gender fields: The gender field comes from the platform’s public information or algorithm inference, and is not 100% accurate. It is recommended to use this as the initial screening condition and then combine it with subsequent interactive data for secondary verification.
4. Control the volume of a single task: Although the tool supports millions of tasks, it is recommended to submit a small sample (such as 10,000 items) for the first time to test the effect and cost, and then expand the scale after confirming that the configuration is correct.

The new trend of combining base material screening and LLM: let AI help you better understand the “base material”

With the penetration of large language models (LLM) in the marketing field, the role of base material screening is being upgraded from “data preparation” to “the cornerstone of intelligent customer acquisition”.

From screen numbers to smart clustering: How does base material screening provide structured input to LLM?

The traditional filter result is just a status list, but after filtering, each record carries structured tags such as platform, activation status, activity, gender, age, tgid, etc. These tags can be entered directly into LLM for:

• Personalized copy generation: For example, “for men around 30 years old, TG active users” generates corresponding product recommendation copy.
• Group strategy formulation: LLM can automatically suggest grouping rules based on tag combinations (such as “active in the past 7 days + male + age 25-35”), reducing manual trial and error costs.
• Dynamic Prioritization: Combined with historical conversion rate data, LLM can score each base material to prioritize reaching high-potential users.

Future Outlook: Base material screening will become more “intelligent”

Judging from industry trends, the base material screening platform may evolve in the following directions:

• Automated rule optimization: Automatically recommend the optimal active window and detection type combination based on historical task results.
• Dynamic Balance Management: Intelligent allocation of detection resources based on remaining balance and task priority.
• Two-way synchronization with CRM: Screen number results are written directly into CRM, achieving seamless flow of base materials from generation to application.

Of course, these are future possibilities, and currently mature solutions are still dominated by manual configuration by users. However, it is foreseeable that the combination of base material screening + LLM will become the new standard for acquiring customers overseas.

How to start your first base material screening task?

Taking KK-DATA as an example, the actual operation process is as follows:

1. Register and log in: Visit Application Console and register using Telegram or email.
2. Recharge balance: USDT (TRC20) recharge, the minimum is about 50 USDT, it will be automatically updated after the account is received.
3. Create screen number task: Select the target platform (such as Telegram), detection type (activated + active + gender), upload the number or use the global generation function.
4. View estimated fee: Display the estimated fee before submitting the task, and submit it after confirming it is correct.
5. Waiting for completion: After the task is completed, you can receive notifications through Telegram and export the filtering results in CSV/TXT format.
6. Reuse the deduplication warehouse: Duplication will be automatically removed during the next task to avoid waste.

There is no monthly fee package required for the entire process. It is billed per item and you pay for what you use. To start your first base material screening task, log in to the KK-DATA console or contact customer service for exclusive guidance.

FAQ

**Q: What is the difference between base material screening and ordinary number verification? ** Answer: Number verification only detects whether the number exists, while base material screening also includes marketing dimensions such as activity, gender, age, etc., which can produce “base materials” that can be directly used to reach groups.

**Q: Do you need third-party tools for base material screening? ** Answer: Small-scale manual testing is feasible, but when going overseas to acquire customers in batches, manual testing is extremely inefficient and cannot cover multiple platforms. Professional tools (such as KK-DATA) provide automated pipelines and cross-platform support, which can significantly improve the quality of base materials.

**Q: Which platforms can the results of base material screening be used on? ** A: Usually used for social or messaging platforms like Telegram/WhatsApp/Line/Zalo/iMessage etc. depending on your target market. You can view Official Platform List to learn more.

**Q: How to evaluate the quality of base material screening? ** Answer: It mainly depends on three indicators: “effective activation rate”, “activity rate” and “expected reach rate”. The effective opening rate of high-quality base materials should be above 80%.

**Q: What are the formats for data export after base material screening? ** Answer: CSV and TXT are usually supported, making it easy to import into CRM, EDM or directly used in private messaging tools.

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