Million-Level Global Filtering: How to Efficiently Perform Large-Scale Number Batch Detection and Task Notifications

What is Million-Level Global Filtering? — Definition and Business Value

Million-Level Global Filtering refers to a single task processing approximately 1 million numbers while covering multiple social platforms (Telegram, WhatsApp, iMessage, RCS, etc.) and multiple countries/regions in batch number detection. Its core value lies in rapidly verifying the validity, activity level, gender, and other information of massive numbers, removing unusable data, and providing a high-quality contact list for subsequent overseas customer acquisition, community growth, and private message promotion.

For outbound marketing teams, manually verifying 1 million numbers is nearly impossible—high labor costs, long cycles, and prone to omissions. Through a professional number screening platform, you can complete full detection within hours to a day and obtain structured results (such as TGID, WSID, activity status, etc.), which can be directly used for subsequent automated outreach. This is the practical significance of million-level global filtering: using technology to purify a “data mine” into “precise resources.”

What Scenarios Require Million-Level Batch Detection?

Not all businesses need million-level detection, but in the following scenarios, million-level tasks are essential:

Large-Scale Telegram Community Growth and Verification

When managing a channel or group with millions of followers, you may have accumulated millions of Telegram IDs or phone numbers. What you need is not simply sending messages arbitrarily, but first filtering out numbers that actually have Telegram, then further distinguishing which are active users (online within 7/15/30 days), and even identifying gender. Only after completing these screenings can subsequent targeted promotions improve conversion rates and avoid being flagged as spam by the platform.

WhatsApp Global Marketing Number Cleansing

Cross-border e-commerce and independent station promotion teams often obtain WhatsApp number databases from various channels, but a large proportion of these numbers are invalid (not registered on WhatsApp, empty numbers, disconnected). Sending marketing messages directly not only wastes costs but may also lead to complaints and account bans. Through million-level batch detection, you can clean millions of numbers at once, retaining only valid and usable contacts, then layer them by country and activity level for use.

Multi-Platform Integrated Customer Acquisition Pipeline

Some businesses need to reach users on multiple platforms simultaneously—for example, first join groups on Telegram, then send private messages on WhatsApp, and finally send coupons via iMessage. Such scenarios require cross-platform, cross-country integrated screening capabilities. A single platform that supports detection of Telegram, WhatsApp, iMessage, and RCS and can output unified screening results avoids constant switching between different tools, improving overall process efficiency.

Technical Challenges of Million-Level Tasks and Platform Response Mechanisms

Large-scale number screening faces several core challenges: system stability, processing speed, wasted duplicate data, and cost control. Below are the platform’s specific countermeasures for these challenges.

Task Submission and Estimated Fees

Before submitting a million-level task, the platform automatically reads the number of phone numbers in the file and calculates the estimated deduction amount based on the selected detection type (e.g., Telegram activity + gender recognition). You can clearly see the approximate balance required for this task before submission, avoiding blind submissions that lead to insufficient balance or overspending. This feature is especially useful for teams with limited budgets, allowing you to plan top-up amounts in advance.

Data Deduplication Warehouse—Avoid Duplicate Waste

Many teams obtain numbers from different channels or submit similar datasets multiple times. Without a deduplication mechanism, the same number may be detected multiple times, consuming balance each time. The platform’s built-in “Data Deduplication Warehouse” automatically records numbers that have already been detected and compares new submissions against historical records, skipping duplicates. This saves costs and ensures each number is detected only once, with consistent results.

Asynchronous Tasks and Background Processing

Million-level tasks cannot be completed in seconds. The platform uses an asynchronous queue architecture: after submission, tasks enter a background queue and are processed in order. You don’t need to sit in front of your computer watching progress bars; you can continue with other work. When the task is complete, the system automatically notifies you (see next section).

Tip: Use Planning for Large-Scale Tasks

The maximum single task limit is approximately 1 million records. For larger scales, submit in batches. It is recommended to first run a small batch test to confirm detection accuracy before executing the full task. Refer to the documentation for detailed operation steps.

Task Notification Mechanism—How to Get Million-Level Screening Results in Time

Since tasks are not completed in real-time, how do you know the results as soon as possible? The platform provides a Telegram-based notification mechanism so users don’t have to repeatedly log into the console to check.

Bind Telegram to Receive Notifications

On the “Notification Settings” page of the console, you can bind your Telegram account (you need to follow the official notification bot). After submitting a million-level task, the system will automatically send a message to your Telegram when the task is completed, containing:

Task name (for identification)
Total detected and valid count
Overview of balance consumed
Result download link (directly jumps to the console)

This mechanism allows you to stay updated on screening progress even on your mobile device, without frequently opening your computer.

Multi-Device Sync and Export Results

Besides notifications, the results themselves support multi-device sync. You can preview the first few hundred records online in the console to confirm all fields are complete. Then export them in CSV or TXT format with one click and download to your local device. For subsequent marketing system imports, CSV format is more friendly—allowing filtering by fields like “valid”, “active”, “gender” before exporting, reducing secondary processing workload.

Pricing and Cost Control for Large-Scale Screening

The platform uses a pay-per-record model, no subscription packages. Recharge and pay as you use. The amount consumed depends on the detection type and quantity; for example, the unit price for Telegram activation detection is lower than that for Telegram activity + gender recognition. For specific prices, please refer to the real-time console page.

To effectively control costs, it is recommended to:

Prioritize using the deduplication feature: Avoid duplicate detection and save balance directly.
Detect by platform in batches: If you need both Telegram and WhatsApp data, submit two separate tasks instead of mixing them. Different platforms have different detection logic; mixing may cause some numbers to fail matching.
Test first, then full scale: Run a sample of 1000-5000 records first to confirm the detection results meet expectations, then submit the million-level task. This avoids batch waste due to data source issues.

Note: Insufficient Balance Prevents New Task Submissions

Ensure your account balance is sufficient before submitting million-level tasks, otherwise they cannot be executed. Top up using USDT (TRC20), minimum approximately 50 USDT. See details on the official billing page.

Best Practices for Million-Level Global Filtering

Successfully completing a million-level number screening involves more than just “upload a file, click submit.” The following actionable suggestions cover three levels:

Data Preparation Stage

Clean the source file: Before importing, remove obvious blank lines, non-numeric characters, and duplicates (using Excel or scripts). Although the platform has a deduplication warehouse, pre-cleaning reduces system load and improves processing speed.
Separate files by platform: If you have both Telegram and WhatsApp numbers, upload them as two separate files. Avoid number format conflicts (e.g., inconsistent international formats) that could lead to detection failures.
Use global number generation: If you don’t have an original number database, use the platform’s “Global Number Generation” feature to generate approximately 1 million random numbers by target country/region and number segments, then run detection. Generation is free; only screening is charged per record.

Task Execution Stage

Prioritize: First detect numbers in core markets (e.g., US, Canada, Southeast Asia), then expand to other regions. If budget is limited, start with Telegram activation detection (lower unit price), then only run activity detection on activated numbers.
Be mindful of submission time: Ideally submit during local working hours, but the platform runs 24/7.

Results Utilization Stage

Layer by activity level: Prioritize “7-day active” numbers for private message promotions; use “30-day active” numbers for cold starts or promotional notifications. Gender identification results can be used for differentiated content targeting male/female users.
Backup immediately after export: After downloading CSV results, back them up locally or in the cloud to avoid cleanup of expired console results.
Integrate with CRM/marketing tools: Most automation tools support importing CSV contact lists. Directly import the screened numbers to start the next sending step.

Frequently Asked Questions

Q: What is the maximum number of records per submission?
A: The platform supports up to approximately 1 million records per single task. For larger volumes, submit in batches. It is recommended to run a small test before full execution.

Q: How long does a million-level task take?
A: Detection time depends on the total number of records, the type of platform detection, and the current queue load. The platform uses asynchronous queue processing. You will be notified via Telegram when the task is completed.

Q: How to avoid wasting balance on duplicate detection?
A: Use the platform’s built-in “Data Deduplication Warehouse” feature. The system automatically identifies and skips numbers that have already been detected, saving costs.

Q: Which countries’ numbers are supported for screening?
A: Supports 240+ countries and regions worldwide. You can use the global number generation feature to batch obtain target country number segments, then run detection.

Q: What fields are included in the detection results?
A: Depending on the selected detection type, results include number status (activated/valid/active/gender, etc.), TGID/WSID, etc. Supported export formats: CSV or TXT.

If you want to learn more about the practical steps of million-level global filtering, or need a screening plan tailored to your specific business scenario, feel free to log in to the Application Console to try it out, or refer to the documentation. You can also contact customer service directly via Telegram @kkdata_cc. We will provide one-on-one technical support.

Millions-Level Global Filtering: How to Efficiently Complete Large-Scale Batch Number Verification and Task Notification

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