Screening of base materials before cross-border e-commerce private messages: How to use screening tools to improve customer acquisition efficiency?

In the private message customer acquisition process of cross-border e-commerce, screening of base materials is a key link that determines the success or failure of subsequent operations. Simply put, it is a process of multi-dimensional validity, activity, gender, etc. verification of batch mobile phone numbers. The purpose is to filter out invalid numbers, reduce platform risk control risks, and improve the private message arrival rate and conversion rate. Many overseas teams spend a lot of energy writing marketing words, but ignore the most basic step - screening of base materials, resulting in a large number of sent messages being returned, accounts being marked or even banned. This article will comprehensively dismantle the correct way to open base material screening from definitions, scenarios, operation steps to evaluation indicators, and share the practical experience of using KK-DATA to conduct base material screening on platforms such as Telegram/WhatsApp to help overseas teams avoid detours.

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What is base material screening? Why does cross-border e-commerce need it?

Basic material screening, in the cross-border e-commerce circle, often refers to a series of verification actions performed on the original mobile phone number list, usually including:

• Whether the number is in a valid format (length and country code are correct)
• Whether the number is activated on the target social platform (such as Telegram, WhatsApp, Line)
• Whether the account is active within the specified time window (for example, online in the last 7 days)
• Account’s gender, age group and other attributes (only supported by some platforms)
• Whether it is an iMessage blue number / iOS device

Core Value: Only numbers that have been screened by the base material can be recognized as “reachable private message targets”. Among the unfiltered original numbers, up to 30%–50% may be empty numbers, downtime numbers, or numbers that are not registered on the target platform. Directly sending marketing private messages to these numbers not only wastes costs, but also triggers the platform’s anti-spam mechanism, causing the sender’s account to be restricted or even banned.

Cross-border e-commerce teams especially need to screen base materials in the following scenarios:

• To promote a new brand in the Southeast Asian market, you need to reach target users through Zalo or WhatsApp
• Targeting the European and American markets, want to use iMessage or RCS to send personalized marketing messages
• Clean the existing customer list to avoid repeated sending or disturbing blocked users

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What is the difference between base material screening and ordinary screening?

Many people confuse “base screening” and “ordinary screening”, but their goals and methods are obviously different. Compare with the table below:

Dimensions	Common screen size	Base material screening
Key points of verification	Only verify whether the number has opened a certain platform (such as checking whether it is a registered Telegram user)	Verify the activation status + activity + gender/age and other multi-dimensional information
Output content	Pass/Fail	Contains structured fields such as active window, gender, registration time, etc.
Applicable scenarios	Simple number cleaning, such as removing empty numbers	Refined private message marketing strategy formulation (such as only sending beauty ads to active women under 30 years old)
Cost Consideration	Lower, billed per item	Slightly higher, but the price/performance ratio is much higher than sending blindly
Core Value	Filter invalid numbers	Filter out high-value target groups

It can be seen from the table that base material screening is an upgraded version of ordinary screen sizes. It not only tells you “this number has a Telegram account”, but also tells you key information such as “whether this account has been active in the last 7 days” and “whether the gender of the account is female”, thus making subsequent private message strategies more targeted.

For example: you have 100,000 Vietnamese mobile phone numbers. After ordinary screening, you may find that 50,000 of them have opened Zalo; and base material screening will further tell you that only 30,000 of these 50,000 have been active in the last 30 days, and 15,000 of them are female users. If you sell women’s clothing, then these 15,000 base materials are the best targets.

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Typical scenarios of cross-border e-commerce base material screening

Scenario 1: Zalo/WhatsApp base screening for the Southeast Asian market

Business Requirements: A cross-border e-commerce team specializes in home furnishing categories, and its target markets are Vietnam and Thailand. They plan to send coupons through Zalo and WhatsApp to guide orders. Due to the high liquidity of local numbers, it is necessary to filter out users who have been active recently.

Solution: Use KK-DATA’s Zalo and WhatsApp screening features to simultaneously detect activation, activity, and gender (if supported by the platform). For example, select the “Zalo activated + active (last 7 days)” detection type and submit a list of numbers containing the target country number range. After filtering is complete, export the results and further filter based on active fields. The response rate for the final private message sent was about 3 times higher than that without filtering.

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Scenario 2: Multi-platform serial screening (Telegram + WhatsApp + iMessage)

Business requirements: A cross-border e-commerce independent website owner deals in high-end electronic products and hopes to use the most stable private message channel to reach customers. They plan to check the activation status of Telegram, WhatsApp and iMessage on the same batch of numbers at the same time, and only retain users who are “activated on all platforms” so that they can quickly switch if any channel is blocked.

Solution: In the KK-DATA console, submit the same list of numbers to the detection tasks for Telegram, WhatsApp and iMessage at the same time. After the task is completed, the results are merged through the data deduplication warehouse to filter out the numbers that show “activated” on all three platforms. In this step, you may find that the opening rate of the entire platform is only 10%–15%, but the quality of the remaining numbers is extremely high, and the arrival rate of subsequent private messages is close to 100%, and the risk of interrupting the entire customer acquisition plan due to a single channel being blocked is reduced.

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Scenario 3: Gender and age-targeted material screening

Business Requirements: The target users of a cross-border e-commerce beauty brand are women aged 25–35, who are active users of Telegram. The brand hopes to accurately screen out this group of people from the massive number of Telegram users and avoid sending irrelevant cosmetics advertisements to male or underage users.

Solution: Use KK-DATA’s Telegram filtering function, and select “Active + Active + Gender” as the detection type. The test returns a gender field (such as male, female) and an age field (approximate age). By exporting the results and filtering numbers with female gender and ages 25–35, the brand obtained a highly matched target base. During this process, the age field in Telegram gender data can be used to filter people around 30 years old, but please note that this is an estimate based on the public information of the account, not the exact ID age, but it is enough to support marketing decisions.

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Key steps in base material screening: from number generation to data export

The complete pipeline for completing base material screening using KK-DATA is as follows:

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

• Global Number Generation: In the “Number Generation” module of the KK-DATA console, select the target country/region (supports 240+ countries/regions), and the system will randomly generate a mobile phone number with a legal number range. This step is free and does not consume your balance.
• Custom Import: If there is an existing number CSV file, you can import it directly. Supports matching by mobile phone number, country code and other fields.
• Generation Tips: You can batch generate by number segment, for example, generate all number segments starting with +84 in Vietnam, and then proceed to the next step of filtering.

Step 2: Select the detection type and submit the task

1. Enter the “Screen Task” page in the console and select the platform (Telegram / WhatsApp / Line / Zalo / iMessage, etc.).
2. Check the detection items: You need to at least check “Activate”, but for the purpose of screening, try to check “Active” and “Gender” at the same time (if the platform supports it and it is relevant to your marketing purposes).
3. Upload the number list (copy and paste or file upload is supported).
4. View the cost estimate: The system will display the estimated deduction amount based on the detection type and number of numbers. Note that the unit prices for different detection types on different platforms are different. See the real-time price on the console for details.
5. Confirm submission. The task usually takes a few minutes to a few hours to complete, depending on the number of numbers and service load.

Step 3: Export the filtering results and remove duplicates

• After the task is completed, click “Export” in the task list and select CSV or TXT format.
• The exported fields include: number, platform, activation status, active status, gender, age, tgid/uid, etc. (specific fields are subject to the console export options).
• Duplication Warehouse: KK-DATA has a built-in data deduplication warehouse. When you want to reuse the same batch of numbers for detection on different platforms, the system will automatically identify the numbers that have been detected to avoid repeated deductions. It is recommended that after each export, the results be imported into the deduplication warehouse for future reuse.

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What common misunderstandings should be paid attention to when selecting base materials?

When I communicated with several cross-border e-commerce teams, I found that the following misunderstandings were very common, which directly led to the screening effect being greatly reduced:

• Misunderstanding 1: Only detect “activated” and ignore “active”. Many teams only verify whether the number is registered on a certain platform, but do not care whether the account is still in use. As a result, the private messages sent out were dragged down by a large number of silent accounts that had abandoned accounts, and the response rate was extremely low. It is recommended to add at least one active window (such as the last 30 days).
• Misunderstanding 2: Submit too many numbers at once. It is best to control the number of single tasks within 100,000 (maximum about 1 million). Importing millions of numbers at once may cause detection delays, and may also be recognized as abnormal activity by the target platform’s anti-inspection system. It is recommended to submit in batches of 5–100,000 each, with a few hours or a day in between.
• Misunderstanding 3: Ignoring data deduplication. If the same number is tested repeatedly in different batches, the balance will be consumed in vain. Be sure to enable a deduplication repository, or manually maintain a list of detected numbers.
• Myth 4: Relying on a single platform. If you only screen users of a certain platform, once the platform’s policies are tightened (such as the wave of WhatsApp account bans), the entire customer acquisition plan will be interrupted. It is recommended to screen at least 2–3 mainstream platforms to achieve multi-channel backup.
• Misunderstanding 5: No manual sampling of screening results. Machine screening may have some errors (for example, gender identification accuracy is around 80%–90%). It is recommended to randomly select 100–200 results for manual verification and confirm that the data quality meets expectations before using it on a large scale.

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How to evaluate the effect of base material screening? What are the core indicators?

Screening of base materials is not a process that ends once it is done. You need to continue to optimize the process through the following indicators:

Indicator	Description	Recommended range
Number effective activation rate	The proportion of numbers that pass detection to the original number	Usually between 20%–60%, depending on the quality of the number source
Proportion of active users	Among the opened accounts, the proportion in the specified active window	The higher the better, more than 50% is considered healthy
Gender identification accuracy	Manual comparison of random samples to confirm the accuracy of the gender field	Expected to be above 80%
Private message response rate improvement	Comparison of response rates before and after using base material filtering	Usually can be increased by 2–5 times
Screen number cost per capita	Average cost for obtaining an effective base material	Calculated based on the platform unit price and screening ratio, See the official website billing page for details

Regularly tracking these indicators can help you determine whether you need to adjust your screening strategy (such as changing active windows, adding gender filtering, etc.). At the same time, comparing the costs and outputs of different platforms can determine the direction of priority investment of resources.

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FAQ

**Q: Can background screening ensure that private messages will not be blocked? **

Answer: No. Screening of base materials can only improve the validity and activity of numbers and reduce the probability of account bans, but it cannot prevent account bans. Because the platform will also detect sending frequency, content quality, user reporting and other behaviors. It is recommended to use it in conjunction with a good sending strategy (such as daily sending volume limit, interval sending, content personalization).

**Q: How many days ago are the selected “active” users considered active? **

Answer: Different platforms have different definitions and detection capabilities. Taking KK-DATA as an example, Telegram activity detection supports specified windows (such as the last 7 days, the last 30 days, the last 90 days), and you can choose according to different platform rules. It is generally recommended to use a 7–14 day window for short-term reach and a 30-day window for long-term brand cultivation.

**Q: Can the numbers selected for base material screening be used repeatedly? **

Answer: Yes, but two points should be noted: 1) The active status of the number will change over time. It is recommended to re-screen the saved base materials every 1-3 months; 2) When the same number is tested on different platforms, please use a deduplication warehouse to avoid repeated deductions.

**Q: Are the prices for base material screening on different platforms the same? **

Answer: Not the same. Telegram, WhatsApp, Line, Zalo, iMessage and other platforms have different detection unit prices, and the prices of different detection types (activated vs active vs gender) under the same platform are also different. Please check the real-time price before submitting the task in the console, or visit KK-DATA billing page to learn about billing rules.

**Q: The generated number has global coverage. Does it support designated area codes? **

Answer: Supported. In the number generation module of KK-DATA, you can select a specific country/region, and some countries also support selecting operator number segments. No balance is consumed when generating, and it is free to use.

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Screening of base materials is the “foundation project” for cross-border e-commerce private messaging to acquire customers. It determines the success or failure of all subsequent marketing actions. With the right methods - multi-dimensional inspection, reasonable batch control, good use of deduplication warehouses, and focusing on core indicators - you can significantly reduce ineffective expenditures and improve reach efficiency and conversion rates. Start optimizing your number base now.

👉Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot Complete usage documentation https://docs.kkdata.cc/ Visit the official website to learn more:https://kkdata.cc/