How can cross-border e-commerce teams use the screening system to improve reach efficiency? Practical Guide
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How can cross-border e-commerce teams use the screening system to improve reach efficiency? Practical Guide
When cross-border e-commerce teams reach overseas customers through private messages, group operations, etc., they most often encounter two problems: Invalid numbers lead to waste of costs and Inaccurate targets reduce conversions. Whether you import numbers in batches from third-party channels or generate global number segments yourself, unverified and low-activity numbers will directly lower the investment-output ratio of private domain marketing. A mature screening system is the key tool to solve this pain point.
What is the screening system? Why does the cross-border e-commerce team need it?
The screening number system is not a simple number detection tool, but an assembly line of “Generation→Filtering→Export”. Its core capabilities include:
- Multi-platform validity detection: Verify whether the number is registered (i.e. “activated”) on platforms such as Telegram, WhatsApp, Line, Zalo, etc.
- Activity Detection: Determine whether the number has online or sending behavior records within the specified time window.
- Targeted Attribute Filtering: Some platforms support gender, age and other field identification to help target target groups.
For cross-border e-commerce teams, there are a large number of “zombie numbers” and “empty numbers” in the unscreened number pool. If used directly for batch sending or private messages, it will not only lower the reach rate, but also easily lead to account risk control due to frequent complaints. **The screening system allows the team to complete data cleaning in the pre-processing process and focus resources on real active users. **
What fields can the screening system detect?
Different platforms support different detection fields. Take common platforms as examples:
| Platform | Typical detection fields |
|---|---|
| Telegram | Open, active (window can be specified), gender (including age field, can be used to filter people around 30 years old), tgid |
| Open, active, gender | |
| Line | Open, valid, gender (including uid) |
| Zalo | Open, Active, Sex |
| iOS / iMessage | Device/blue number detection, iMessage valid number |
⚠️ The age field is not “ID card level accuracy”, but the result of model analysis, which can be used for group targeting (such as interpreting “users about 30 years old”) and cannot be regarded as precise age.
Common reach efficiency bottlenecks in cross-border e-commerce - taking independent website promotion as an example
Suppose an independent website seller purchases 500,000 international numbers from a service provider. Since the source numbers are unknown and directly imported into WhatsApp group messaging, the activation rate is less than 30%. The result is:
- A large number of invalid numbers occupy the sending quota, causing the account to be marked and restricted by the platform;
- Among the valid numbers, some users have been inactive for a long time and the response rate is extremely low;
- Since it is impossible to filter gender/interests, advertising for female cosmetics is pushed to male users, which is a waste of costs.
After introducing the screening system, the team changed the process: Batch inspection first, and then targeted contact.
Scenario 1: WhatsApp number validity detection and activity screening
Create a WhatsApp screening task and select the “Active + Active” detection type. The system will verify whether the number is registered one by one and mark whether there is any behavior record in the last month. After the results are exported:
- Unactivated numbers can be directly discarded or regenerated by changing the number segment;
- Activated but low-activity numbers are classified into the “nurturing pool” to reduce the frequency of contact;
- Activated and highly active numbers are used as “priority reach objects” and major marketing resources are invested.
Scenario 2: Telegram gender + activity targeting (such as screening male users around 30 years old)
When screening accounts on Telegram, turn on the “Gender Detection” option. The system returns fields such as the user’s gender, age range (such as 20–29, 30–39). For teams that launch 3C products, blockchain projects or development tools, screening out male active users around 30 years old means higher conversions. The detection results can also be exported as tgid for subsequent direct push.
How to use the screening system to select the right platform? Comparison of applicable scenarios of Telegram, WhatsApp and Line
Users’ social tool preferences vary significantly in different markets. The screening system supports cross-platform one-time detection, and the team can run multiple platform tasks on the same batch of numbers at the same time, compare the activation rates of each platform, and assist in decision-making.
| Platform | Mainstream market | Applicable promotion types | Recommended detection strategies |
|---|---|---|---|
| Telegram | CIS, Southeast Asia, B2B community | Virtual products, tutorials, blockchain, tools | Open + Active + Gender |
| Middle East, Latin America, Europe, B2C private domain | E-commerce discounts, purchasing agents, service appointments | Activation + Active | |
| Line | Japan, Korea, Taiwan, Thailand | Brand membership, localization services | Activation + Gender |
| Zalo | Vietnam | Local e-commerce, community operations | Open + Active |
Platform targeting suggestions
If your team is facing the global market, it is recommended to first use the screening system to conduct a “multi-platform horizontal comparison”: test the same batch of numbers on Telegram, WhatsApp, and Line at the same time to see which platform has the highest activation rate, and prioritize resources to focus on it.
Four steps to implement the screening number system: the whole process from number generation to export
The following operations can be completed in the KK-DATA console:
Step 1: Generate a number
- Select “Global Number Generation”, covering 240+ country code segments.
- Supports CSV import of custom number segments, and can also be generated by country using random rules.
- This step is free, no fees will be deducted after generation.
Step 2: Create a screening task
- Select a platform (such as Telegram, WhatsApp) and turn on detection types such as “gender” and “activity”.
- A single task supports up to about 1 million numbers, and excess numbers can be submitted in batches.
- Before submission, the system will display the estimated cost and start running after confirmation.
Step 3: Wait for results and track progress
- Real-time progress can be viewed on the console while the task is running.
- Receive notification reminders through Telegram after completion (account binding required).
Step 4: Export and remove duplicates
- You can choose to export in CSV or TXT format. Fields include activation status, activity level, gender, tgid/wsid, etc.
- Use the “data deduplication warehouse” function to avoid repeated detection of the same number in multiple tasks (saving balance).
Pay-per-item vs subscription package: Which one is more suitable for small and medium-sized teams?
KK-DATA adopts the “No subscription package + per item deduction” model, which is significantly different from the monthly/annual subscription system of many overseas data tools.
| Dimensions | Pay-per-item billing | Subscription packages |
|---|---|---|
| Cost Model | Pay What You Use | Pay Fixed Fee Upfront |
| Low frequency use | More suitable | May be wasteful |
| Cost control | Estimated costs visible before the task | Dependency usage estimate |
| Applicable teams | Small and medium-sized teams, studios, agency operations | Large teams, stable and high usage |
Small and medium-sized teams often face the uncertainty of “low usage during low traffic periods and surge in peak monthly usage.” Under the bill-by-item model, teams do not need to pay for unused quota. After recharging USDT (TRC20), the balance is permanently valid and you can pay as much as you use.
Pay attention to balance and billing
You can check the estimated fee on the console before the number screening task; the actual fee will be deducted after the task is completed. New tasks cannot be submitted when the balance is insufficient. It is recommended to recharge enough USDT (TRC20) in advance. Please check the real-time price of the console for the specific unit price.
Tips to avoid pitfalls when using the sieve number system
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The number must be screened after being generated and cannot be used as a valid direct call Numbers randomly generated based on number segments do not represent real users. It must be screened and confirmed to be activated and active before use.
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Activity is more important than activation status Numbers that have been activated but have been inactive for a long time will have a very low conversion rate after being reached. Prioritize users who have “behaved in the past month/three months”.
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Note the upper limit for a single task The maximum number of entries at a time is about 1 million. If the number pool is too large, it can be split into multiple tasks for submission to avoid errors.
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Look for official customer service and beware of scams The only official customer service Telegram: @kkdata_robot. The platform will not proactively ask for passwords or payments via private messages.
FAQ
Question: What does the activity detected by the screening system mean?
Answer: The definitions of different platforms are slightly different. Taking Telegram as an example, activity refers to the number’s online/sending behavior records within a specified time window (such as the last month or three months). Different active windows have different consumption, which can be viewed in the console.
Question: Can one number detect multiple platforms at the same time?
Answer: Yes. You can select multiple platforms when creating a task (such as detecting Telegram, WhatsApp, and Line at the same time), and the system will detect each platform one by one and return the corresponding results. Note that each test type is charged independently.
Question: Why are some of the numbers I generated “unactivated” after filtering?
Answer: The generated numbers are randomly generated according to the number segment rules and do not represent real users. Only numbers that have been registered and maintained on the platform will be marked as “activated”. Unactivated numbers can be directly discarded or regenerated by changing the number segment.
Question: Can the balance be refunded after recharging?
Answer: The balance will be deducted on a per-item basis, and the recharge will be USDT (TRC20) and will be credited in real time. The balance cannot be transferred out directly, but the unused balance can be continuously used. Please consult official customer service for details.
Question: Does the sieve number system support batch export of tgid or wsid?
Answer: Supported. The detection results can be exported including tgid, wsid, uid and other fields (specifically, the console export items shall prevail) to facilitate subsequent private message push or data analysis.
If your cross-border e-commerce team is facing problems such as invalid numbers, low reach rates, and wasted costs, you might as well try the screening system. First log in to the console to create a free number generation task, and then submit the small-amount charging experience test. If you have any questions, you can contact customer service in both directions for one-on-one guidance.
👉Log in to the console to start screening numbers 👉 Two-way contact customer service: https://t.me/kkdata_robot 📖 Usage documentation: https://docs.kkdata.cc/ 🌐 Official website: https://kkdata.cc/
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