Base material screening 10 questions and 10 answers: A complete FAQ guide from scratch to efficient customer acquisition

In overseas marketing, base material screening is the starting point for customer acquisition data operations. Many teams have a lot of raw numbers but waste high reach costs because they are not verified. This article uses 10 high-frequency questions and answers to help you thoroughly understand what base material screening is, how to do it, and how to avoid common pitfalls. Whether you are new to screening or a veteran who needs to optimize the process, this guide can provide a practical reference.

What is base material screening? Why is it important to acquire customers overseas?

Basic material refers to the original number library - it may come from public number segments, marginal channels, or self-collection by users. These numbers have not been processed in any way, and a large number of invalid, inactive, and non-target gender numbers are mixed in. Basic screening is to turn “raw numbers” into “living clues” through multi-platform detection, activity judgment, gender filtering, etc.

In scenarios such as B2B SaaS customer acquisition, Telegram community recruitment, and WhatsApp private domain operations, direct mass sending of unfiltered base materials will lead to:

High unsubscription rate, risk of being marked as a spam account
A lot of costs are wasted on dead accounts and open accounts that no one uses.
Mixed data sources make it difficult to accurately target target users

A complete base material screening can help you do:

Eliminate invalid numbers (not activated/logged out)
Identify active users (customizable active time window)
Filter target gender (such as male, female)
Export structured fields (tgid, wsid, uid, etc.) for automated reach

One sentence summary

Screening of base materials is not just about checking whether a number is activated, but helping you turn massive “raw numbers” into “living leads.” A complete screening can filter out invalid accounts, left-behind accounts, and non-target gender accounts, leaving behind high-intent users who are truly worth following up on.

What are the core differences between base material screening and ordinary screening?

Many teams think that “checking whether the number is activated” is the screening number, but this is essentially different from screening of base materials.

Comparison of screening processes: from original numbers to high-intent users

Dimensions	Common screen size	Base material screening
Data source	User-provided list, not necessarily original	Original base material (contains a large number of invalid/duplicate numbers)
Detection depth	Only a single platform is enabled for verification	Multi-platform + activity + gender + age + other fields
Deduplication mechanism	Frequent omissions	Built-in cross-task deduplication warehouse
Export fields	Only number status	Support tgid, wsid, uid, gender, age, etc.
End use	For simple verification	For accurate customer acquisition and automated sequence contact

Base material screening usually goes through a complete pipeline of “generate/import → multi-platform activation detection → activity/gender filtering → deduplication and export”. Ordinary screeners may only do “check whether this number has Telegram”, and the quality of the output between the two is hugely different.

Cost structure comparison: per item deduction vs package subscription

Base material screening platforms (such as KK-DATA) mostly adopt the per-item deduction model. There is no subscription package, and you pay for what you use. This is extremely friendly for batch scenarios:

Small teams will not lose money due to monthly fixed fees
Large studios can flexibly recharge according to the workload
Estimated costs can be previewed before task submission, making costs transparent and controllable

Some ordinary number screening tools may require annual or monthly subscriptions, which is not cost-effective for teams that frequently iterate numbers.

Notice

The detection unit prices of different platforms (Telegram/WhatsApp/Line/Zalo/iMessage) are different. Please refer to the real-time price of the console. For details, see Billing Instructions.

What do I need to prepare in advance for base material screening? Complete process from scratch

If this is your first time doing base screening, you can follow the steps below:

Prepare the original number: It can be a CSV/TXT file collected by yourself, or you can use the global number generation function of the platform (240+ country/region code segments are randomly generated, free of charge, and the screen number is deducted per item).
Select detection platform and type: Determine the platform to be detected (such as Telegram, WhatsApp, Line, etc.), and the required fields (activation, active, gender, age, etc.). Different platforms and detection types have different unit prices.
Upload numbers and submit tasks: Upload numbers in Application Console. The maximum number for a single task is about 1 million. The system will estimate the cost and submit it after confirmation.
Waiting for processing and receiving notification: After the task is completed, you will be notified through Telegram (the customer service robot needs to be bound in advance).
Export results: Supports CSV, TXT format, fields include number status, activity, gender, age, platform ID (tgid/wsid), etc.

Additional Suggestion: If the amount of numbers is extremely large, it is recommended to upload in batches, first use small batches to test parameters and costs, and then submit large tasks.

Which platforms are supported by base material screening? What fields can be detected?

All current mainstream platforms can be covered. The following are common detection platforms and fields (the specifics are subject to console export, please do not make up any fiction):

Platform	Common detection fields
Telegram	Open, active (active window can be specified), gender (including age field), tgid
WhatsApp	activated, active, gender, wsid
Line	Open, valid, gender (including male/female), uid
Zalo	Open, Active, Gender (for Vietnam/Southeast Asia)
iOS / iMessage	iOS device/blue number detection, iMessage valid number
Viber	Open, active
Facebook / Instagram	Open and active (some include avatar/nickname)
Binance / LinkedIn	Activation Test

Common application scenarios for different platforms

Telegram detection: attract new users from the community, send private messages in groups, and add followers to tg. Can be used with tgid export to achieve precise access.
WhatsApp Detection: private domain marketing, customer conversion. Numbers with high activity are more likely to be replied to.
Line / Zalo Test: A must-have choice for Southeast Asian markets (Thailand, Vietnam, Indonesia, etc.).
iMessage Detection: Covered by Apple users, suitable for email/text message replacement in high-price categories.

How to interpret the fields in the base filter results

Activated: The number is registered on the platform, but may not be active. It may still be ignored or blocked by the other party.
Active (including active window): There are usage records within the specified period (such as 7 days / 30 days / half a year). The higher the activity, the greater the probability of being seen/replyed.
Gender (such as male/female): Inferred based on public information on the platform. It is not filled in by the user and is for reference only.
Age (e.g. about 30 years old): The age field in the gender detection results can be used to filter people about 30 years old, but it is not ID-level accurate data. Please use it reasonably based on the business scenario and do not rely too much on single field judgment.

Field interpretation reminder

The age field in the gender detection results can be used to filter out people around the age of 30, but it is not ID-level accurate data. Please use it reasonably based on the business scenario and do not rely too much on single field judgment.

How to calculate the base material screening fee? How to control costs?

Billing Mode: No package, fees will be deducted on a per-item basis after recharging USDT (TRC20). The minimum deposit is approximately 50 USDT. It will be deducted from the balance only after the task is completed. If the balance is insufficient, new tasks cannot be submitted.

Key points to control costs:

Prioritize high-potential platforms: For example, if the target market is Southeast Asia, you can focus on Line/Zalo and assist on WhatsApp to avoid full rollout.
Utilize activity window: By default, all active users are detected, but you can specify “active in the past 30 days” to filter more high-quality leads.
Use data deduplication warehouse: Automatically deduplicate cross-task numbers to avoid wasting balance by repeatedly detecting the same number.
Small batch trial and error: Before launching a formal large task, use hundreds of items to verify whether the parameters are reasonable to reduce invalid consumption.

Special reminder: Different detection types have different unit prices. Please be sure to check the real-time price on the console and do not rely on third-party quotations.

How to export and use the numbers after filtering?

The platform supports exporting in two mainstream formats: CSV and TXT.

CSV format: suitable for importing into CRM, Excel, or other analysis tools. Field separation makes it easy to filter by dimensions such as activity, gender, platform ID, etc.
TXT format: one number per line, suitable for direct import into mass sending tools or automated scripts.

Additionally, platform-specific IDs (such as tgid, wsid, uid) are included in the export results. These IDs are of great value for subsequent automated reach - you can skip number verification and directly use the ID to call the platform API for message push (subject to platform regulations). For example, tgid can be used for Telegram bot to target direct messages, and wsid can be used for WhatsApp Business API to specify recipients.

Common misunderstandings in base material selection and pitfall avoidance guide

Newbies often make the following mistakes, which can lead to unsatisfactory results or out-of-control costs.

Misunderstanding 1: All base materials are screened the same

Truth: Different platforms have huge differences in detection accuracy, field richness, and upper limit of supported numbers. For example, some platforms only perform simple activation detection, while professional platforms can provide in-depth fields such as active windows, gender, age, and platform ID. Choosing the wrong tool means wasting time.

Correct approach: Choose a platform based on business needs. When in-depth analysis is required, professional platforms that connect to multiple data sources are preferred (such as KK-DATA).

Misunderstanding 2: Activity is not important

Truth: Only checking activation but not activity will lead to a large number of “zombie accounts” entering marketing costs. Although these numbers are registered, they may not be used for a long time and no messages from you can be seen at all.

Correct approach: Set a reasonable active window (such as the last 30 days/90 days) and only filter numbers with recent usage records.

Misunderstanding 3: The more tasks in a single task, the better

Truth: Upload millions of uncleaned numbers at once. If the data types are messy (for example, a large number of landline numbers and empty numbers are mixed in), the entire batch detection efficiency will be low, and the balance may be wasted due to duplicate problems.

Correct approach: Upload in batches, perform basic deduplication and format verification on each batch before submitting for testing. Prioritize high-potential platforms and then decide whether to expand based on the results.

How to verify whether the base material screening results are accurate?

There are several ways to verify the accuracy of the screen number:

Platform built-in verification: Some platforms will give confidence marks on the results page, such as “Gender Recognition Confidence High/Medium/Low”.
Cross comparison: Cross-verify the same batch of numbers in different time periods or different detection types to observe the consistency.
Manual sampling: Randomly select some results and use your own account to manually add friends or send messages to test. Note: Do not test in large quantities to avoid being banned from the platform.
Verification through official customer service: If you have any questions about the data, you can give feedback through two-way contact customer service. Be careful to only recognize official robots, do not trust any other accounts, and beware of phishing.

Anti-fraud reminder: Official customer service only provides services through https://t.me/kkdata_robot. Anyone who claims to be an official agent and asks for account password in private messages is a liar.

Which teams or business scenarios is suitable for base material screening?

Base material screening mainly serves the following groups of people:

Overseas Marketing Team: Need to batch verify the potential user numbers left by Facebook/Google ads.
Cross-border e-commerce/independent website promotion: used for WhatsApp/Line mass sending of coupons and repurchase reminders.
Telegram Community Operation: Accurately screen active male/female users to join paid communities.
Private domain agent operation/studio: requires an efficient screening system and pay-as-you-go billing to support multiple customers and multiple tasks in parallel.
Small and medium-sized teams: No subscription package, billing per item, low threshold, suitable for teams with limited budget but need high-quality leads.

Regardless of the size of the team, as long as it involves multi-platform social customer acquisition, base screening is the core link to improve ROI.

FAQ

**Q: Can I get a refund if I don’t use the numbers after the base material screening? **

Answer: Base material screening will be deducted based on the number of tests. The balance will be consumed after the task is completed, and refunds are not supported. It is recommended to use a small batch to test parameter accuracy before submitting a large task.

**Q: Does base material screening support small tasks with less than 5,000 items? **

Answer: Supported. The platform does not set a minimum submission amount, but the single cost of small tasks remains the same as that of large tasks. It is recommended to accumulate a certain amount and then submit them uniformly to improve efficiency.

**Q: Will repeated testing of the same number lead to deductions for base material screening? **

Answer: No. The platform has a built-in data deduplication warehouse, and cross-task numbers will be automatically deduplicated to avoid repeated deductions. For specific rules, see Usage Documentation.

**Q: How accurate is the gender data in the base material screening results? **

Answer: Gender data is based on the platform’s public information and algorithm model inference. It is not filled in by users and is for reference only. The age field can filter people around 30 years old, but it is not precise ID card level data.

**Q: How can I confirm that I am contacting official customer service and not a phishing account? **

Answer: Official customer service only provides services through https://t.me/kkdata_robot. Do not trust search engines or other customer service accounts on social platforms to avoid being deceived.

Start your first base screening

Bottom material screening is not a complicated and profound technology, but a quantifiable data operation action. With the right methods and tools, you can complete a number cleanup job that would take days in a matter of hours.

Now, you can directly enter the console to experience: 👉 Log in to the console to start screening numbers If you have any questions or need manual guidance, please contact customer service in both directions: https://t.me/kkdata_robot For complete product documentation, please visit: https://docs.kkdata.cc/

Base Material Screening 10 Questions 10 Answers: Complete FAQ Guide from Zero Basics to Efficient Customer Acquisition

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