Global number generation and number screening pipeline: tutorial on efficient customer acquisition from generation to export
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Global number generation and number screening pipeline: tutorial on efficient customer acquisition from generation to export
In overseas marketing and B2B SaaS customer acquisition scenarios, number screening is a necessary step to extract effective, active, and targeted users from massive numbers. However, many teams only focus on the “screening number” step and ignore the pre-number generation and post-deduplication export, resulting in messy data sources, waste of repeated detection, and uneven quality of the final list. This article takes the entire pipeline of global number generation → number screening → data export as the main line, combined with the actual operation of the KK-DATA platform, to show you how to use a complete link to transform the original number pool into high-value customer acquisition data.
What is the global number generation→number screening pipeline?
The so-called “number screening pipeline” refers to the four links of number generation (or import), multi-platform social detection, duplication removal and export being connected in series to form an accurate user list that can be used in batches. KK-DATA’s global number generation covers more than 240 countries/regions, supports random generation, number segment generation and CSV import, and the generation is completely free. The generated or imported numbers then enter the screening module, and through social detection on Telegram, WhatsApp, Line, Zalo, iMessage, RCS and other platforms, key information such as activation status, activity, gender (including age field) and so on are obtained. After the final results are automatically deduplicated by the deduplication warehouse, they are exported in CSV or TXT format for subsequent private message promotion, community operations, or advertising.
The core value of this assembly line is that it is free to generate, charges are deducted on a per-screen basis, and there is no subscription package. The team can flexibly control costs according to the budget. This solution with “number screening” as the main keyword is particularly suitable for cross-border e-commerce, independent website promotion and TG/WhatsApp community operation teams.
Why build a number screening pipeline?
Separating the generation and filtering operations may seem more flexible, but in fact it can easily lead to three problems:
- Low efficiency: Manually collect numbers from various channels, and then manually import them into the screening tool. The data format is not uniform, and repeated operations waste manpower.
- High cost: Different batches of tasks may repeatedly detect the same number, and the balance will be consumed in vain. The lack of a duplication mechanism means teams have to pay for duplicate testing.
- Data quality varies: There is no targeted generated number pool, which may contain a large number of invalid or non-target market numbers, reducing subsequent marketing ROI.
A complete pipeline can:
- Build an original number pool at one time: Select the country/number segment according to the target market (such as Vietnam, Indonesia, Brazil) and generate millions of numbers with one click.
- Improve targeting capabilities: Specify detection items during the screening stage, such as screening for Telegram users who are active within 7 days, or screening male users for Line, so that the results are more suitable for customer acquisition needs.
- Reduce duplication and waste: Automatically compare historical results across task deduplication warehouses to avoid repeated deductions for the same number.
- Export ready to use: Export CSV/TXT directly after filtering is completed. The fields containing tgid, wsid, uid, etc. can be used to import other tools.
Simply put, the assembly line upgrades “passive number collection → screening numbers” to “actively generate numbers → accurate screening numbers → high-quality export”, which can improve the customer acquisition efficiency of overseas teams by an order of magnitude.
Step one: Global number generation - build original number pool
The basis of the pipeline is the number pool. KK-DATA provides three generation methods, all of which are free. You only need to log in to the Console to operate.
Random generation and segment generation
Open the “Global Number Generation” module of the console, you can:
- Select Country/Region: Covers 240+ countries and regions, and supports quick filtering by region (such as Southeast Asia, Latin America, and the Middle East).
- Select number segment type: Optional random generation (completely random numbers) or number segment generation (generating continuous number segments based on the operator’s number segment).
- Set Quantity: Up to about 1 million can be generated at a time, and they will be automatically added to the number pool after generation.
Applicable scenarios:
- Initial number pool construction: When there are no ready-made numbers on hand, use random generation to quickly obtain a large number of candidate numbers.
- Multi-country decentralized testing: Generate numbers for the United States, Vietnam, and Brazil at the same time, and then unify the screening numbers to compare user behavior in different markets.
- Number segment test: If you already have some number segments, using number segment generation can accurately cover a certain operator’s user group.
Import existing numbers via CSV
If your team has an accumulated list of numbers (for example, from trade shows, historical marketing campaigns, or partners), you can upload the CSV file directly. The console supports CSV import, and the numbers will be merged into the current number pool and entered into the filtering process together with the generated numbers. CSV format requirements: single column number (can include country code), one per line. After importing, the system will automatically remove duplicates (compared with the warehouse) to prevent the detected numbers from consuming the balance again.
Tip: It is free to generate, and there is no deduction for the quota.
All number generation operations do not consume balances, and are only deducted on a per-item basis during subsequent actual screening and testing. See the real-time price on the console for details.
Step 2: Number screening - multi-platform social detection execution
After the number pool is ready, the next step is to perform the core number screening task. KK-DATA supports multiple social platforms. Each platform has different optional detection types and needs to be used in combination according to the customer acquisition target.
Select detection platform and detection type
When creating a task in the Number Filtering module, you can select one or more of the following platforms:
| Platform | Supported detection items (some examples) | Typical customer acquisition scenarios |
|---|---|---|
| Telegram | tg activation, tg active (time window can be specified), tg gender (including age field, can filter people around 30 years old), tgid export | TG community operation, private message promotion, airdrop activities |
| Activation, activity, gender, wsid export | Cross-border e-commerce customer service contact, WhatsApp broadcast | |
| Line | Open, valid, gender (including male orientation), uid export | Japan/Taiwan/Thailand marketing |
| Zalo | Open, active, gender | Customer acquisition in Vietnam market |
| iMessage / iOS | iOS device detection, effective iMessage detection | iMessage marketing in the United States |
| RCS | Activation Detection | Android User Reach |
| Others | Facebook, Instagram, Binance, LinkedIn, etc. | Social platform targeting |
Note: The age field in the gender detection results can assist in screening a specific age range (such as about 30 years old), but it is not sold as an independent “age product”, and the accuracy is not ID card level. The actual fields are subject to console export.
Composition Suggestion: For example, for social e-commerce in Southeast Asia, you can choose Telegram + WhatsApp + Line to detect the three platforms at the same time. Users who are active on the three platforms can be marked at once, and cross-reaching can be carried out in the future.
Submit tasks and cost estimates
After selecting the platform and detection type, the system will automatically display the estimated deduction amount based on the current number pool quantity and selected detection items. It cannot be submitted when the balance is insufficient. You need to recharge via USDT (TRC20) first. The minimum is about 50 USDT. There is no subscription package. You pay for what you use. After recharging, the balance is automatically updated and tasks can be submitted immediately.
View results and data export
After the filtering task is completed, the complete results can be viewed in the “Task List” of the console. Each number will come with multiple fields, including:
- Activation status: whether to register for the platform
- Activity: Last active timestamp (Telegram can specify within 7 days, within 30 days, etc.)
- Gender: Male/Female/Unknown (some platforms include age)
- Unique ID: tgid, wsid, uid, etc., for easy import into other automation tools
Export format supports CSV and TXT. It is recommended to use CSV because the field structure is clear and can be opened directly with Excel or Google Sheets for secondary screening.
Step 3: Cross-task deduplication and data warehouse management
In the continuous screening process of multiple rounds, duplicate numbers will inevitably appear. KK-DATA has a built-in data deduplication warehouse. When a new task is imported into the number pool, the system will automatically compare it with the numbers that have been detected in historical tasks, and only detect unprocessed numbers to avoid repeated deductions.
Best Practice: Clean the “expired” active data in the warehouse every certain period (such as weekly or monthly), and re-detect it (such as switching the active window from 7 days to 30 days) to maintain data freshness.
Complete pipeline example from generation to export (Scenaria)
Suppose you want to do Zalo private message promotion for the Vietnamese market. The following is a typical operation process:
- Generate number pool: Enter “Global Number Generation” in Console, select the country “Vietnam”, and generate number segments (enter the number segments of Vietnam’s main operators such as 03x, 08x) to generate 1 million numbers. free.
- Upload supplementary list: At the same time, import a CSV of 2,000 Vietnamese user numbers collected from the exhibition. Generated and imported numbers are combined into one pool.
- Create number screening task: Select the platform “Zalo” in “Number filtering”, and check “Activate”, “Active” and “Gender” for the detection type (targeting male users). Once the estimated cost is displayed, submit the task.
- Get results: The task is completed, export CSV, and filter out about 300,000 numbers that are “open and active” and “gender is male”. The fields include uid and active time.
- Duplicate Warehouse: If a new number pool is imported next time, the system will automatically skip this batch of 300,000 numbers without repeated detection.
- Export and use: Import the CSV into Zalo mass messaging tool or CRM to start private message promotion.
The entire process, from generation to exporting the available list, takes approximately several hours (depending on the number of numbers and platform detection speed), but the manual operation time is less than 30 minutes.
Experience
It is recommended to use a small number of numbers (such as 1,000) to test the detection effect of each platform when operating for the first time, and then run the full number after becoming familiar with the fields. Avoid investing a large amount of balance at one time only to have unsatisfactory results due to task configuration deviations.
FAQ
**Q: What is the charge for number generation and number screening? **
Answer: Number generation is completely free, with unlimited times and quantity. Screening tests are deducted on a per-item basis. The specific unit price varies depending on the platform and test type. For details, please see [Console Real-time Price] (https://app.kkdata.cc/).
**Q: Is Telegram’s gender detection accurate to age? **
Answer: The gender detection results include an age field, which can assist in screening people around 30 years old. However, this field is based on algorithm model inference and is not ID card-level accuracy. Please judge based on business needs when using it in practice.
**Q: If multiple platforms are selected in one task (such as detecting Telegram and WhatsApp at the same time), how is the cost calculated? **
Answer: Each platform’s testing is billed independently. Before submitting the task, the estimated total cost will be displayed and accumulated by items. For example, if a number detects Telegram and WhatsApp at the same time, the fees of both platforms will be deducted respectively.
**Q: How to avoid wasting balance through repeated testing? **
Answer: KK-DATA has a built-in data deduplication warehouse. Each new task will compare the historical detected numbers and skip the ones that have been processed. It is recommended to concentrate multiple batches of tasks on the same account to achieve the best deduplication effect.
**Q: How long does it take for USDT to arrive after deposit? What’s the minimum? **
Answer: USDT (TRC20) usually arrives within a few minutes after depositing, with a minimum of about 50 USDT. The balance is automatically updated after the account is received, and the screening task can be submitted. There is no monthly fee or package fee, and the fee is only deducted based on the actual number of tests.
Start your number screening pipeline now
The above tutorial helps you build a complete customer acquisition data pipeline from global number generation to number screening to export. Now you can log in to the console, create your first free generation task, and experience the entire process from generation to screening for yourself.
👉Log in to the console to start screening numbers Two-way contact customer service: t.me/kkdata_robot For more detailed operation instructions, please refer to: Usage Document
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