Best Practices for Detecting Millions of Telegram Numbers: How to Efficiently Complete Screening of 1 Million TG Accounts
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Million-Level Telegram Number Detection Best Practices: How to Efficiently Complete a 1 Million TG Screening Task
In overseas marketing, million-level Telegram number detection is a critical step for batch customer acquisition. You have hundreds of thousands or even millions of numbers and need to verify which ones are registered on Telegram, whether they are recently active, and the user’s gender – but ordinary small tools can’t handle it, and manual splitting is too time-consuming. This article provides a complete overview of large-scale TG screening practices, covering operational workflows, detection type selection, cost control, and common pitfalls, helping you run a 1 million number detection task smoothly and improve customer acquisition efficiency.
What Is Million-Level Telegram Number Detection? Why Do Overseas Marketers Need It?
Million-level detection refers to a Telegram number verification task where the number of submitted numbers in a single batch reaches or exceeds 1 million. Unlike daily small-scale verification, million-level detection addresses quality screening of numbers during batch acquisition: in scenarios like TG group member adding, group invitations, private message promotions, etc., you don’t need “all numbers to be valid”, but rather need to precisely find active real users with Telegram registered. Small-scale detection (a few thousand) cannot match the pace of batch customer acquisition, while million-level detection lets you complete large-scale number filtering in one go, directly outputting a high-quality number pool ready for the next round of marketing.
Differences Between Million-Level Detection and Ordinary TG Screening
| Dimension | Ordinary TG Screening | Million-Level Detection |
|---|---|---|
| Single task volume | Hundreds to a few thousand | 100,000 to 1 million |
| Time consumption | Minutes | Minutes to tens of minutes |
| Data value | Basic registration verification | Multi-dimensional screening: activity, gender, etc. |
| Platform support | Any screening tool | Professional platforms with high-performance concurrency |
| Cost control | Simple | Requires strategy (batching, deduplication) |
Which Business Scenarios Require Million-Level Detection?
- Batch TG group invitations: Invite tens of thousands to hundreds of thousands of users at once, provided the numbers have Telegram registered and are not banned.
- Cross-border e-commerce or independent site promotions: Send product messages to potential customers – need to filter out unregistered or inactive numbers.
- Overseas social media traffic generation: Redirect traffic from TG to independent sites or WhatsApp groups – need a high-quality number pool.
- Multi-batch marketing campaigns: The same batch of numbers needs multiple touches – must screen effective users in advance.
What Detection Types Does Million-Level TG Detection Support? How to Choose?
Professional platforms like KK-DATA usually offer four core detection types: Registration, Validity, Activity, and Gender Recognition. Each type has different value for customer acquisition. For large-scale tasks, it’s recommended to combine them strategically.
TG Registration Check vs TG Validity Check
- Registration Check: Verifies whether the number is registered on Telegram. This is the most basic screening, eliminating unregistered numbers. Lowest cost, suitable for initial cleaning.
- Validity Check: Based on registration, further checks whether the number can send/receive messages (not restricted or deactivated by the platform). Validity check is more accurate but costs slightly more than registration check.
Recommendation: If your budget is limited, first use registration check to filter out a large number of invalid numbers, then run validity check on the remaining ones. If budget allows, directly run validity check to save time.
Activity Window (7/15/30 days): How Does It Affect Customer Acquisition Quality?
Activity detection is an advanced feature of TG screening. It determines whether a number has had activity (sending/receiving messages, logging in, etc.) within a specified period. Common activity windows are 7 days, 15 days, and 30 days.
- 7-day activity: Users have been active recently – suitable for campaigns requiring quick responses (e.g., limited-time offers, chatbot conversations).
- 15-day activity: Moderate activity – balances customer acquisition quality and reach rate.
- 30-day activity: Broader range, covering more users, but may include some low-activity users.
Recommendation: For the first large-scale screening, choose 15-day activity detection to ensure quality while covering a wide user pool. Adjust later based on marketing feedback.
Gender Recognition (Avatar Recognition) in Precision Marketing
Identifying user gender (male/female/unknown) from avatar photos can help marketing teams target by gender. For example, beauty brands focus on female users, game promotions may target males. Note: Gender recognition is based on public avatars and cannot be 100% accurate, but it significantly improves targeting efficiency. In large-scale detection, it’s recommended as a supplementary dimension rather than an absolute filter.
How to Submit a 1 Million Telegram Number Detection Task? (Step-by-Step Guide)
The following process uses KK-DATA platform as an example; other professional platforms operate similarly.
Step 1: Prepare Number List
- Format: TXT or CSV, one full international number per line (e.g.,
8613812345678). Include country code, remove spaces and hyphens. - Source: You can collect your own, buy lists, or use the platform’s Global Number Generation Module (generates random numbers for 240+ countries/regions) – number generation is free; screening charges apply per number.
Step 2: Select Detection Type
- In the console task creation, check the required detection items: Registration, Validity, Activity window, Gender Recognition.
- Recommendation: First submit a small test task of 10,000 numbers to confirm detection types and cost estimates, then submit the million-level task.
Cost Tip
Activity detection usually costs more than registration check. If the total cost is high, consider batching: first run registration check to filter invalid numbers, then run activity detection on valid ones.
Step 3: Upload and View Estimated Cost
- Upload the number list to the platform. The system automatically counts the numbers and shows the estimated deduction balance.
- Ensure sufficient balance (supports USDT TRC20 recharge, minimum ~50 USDT).
Step 4: Submit Task and Wait for Completion
- After submission, the platform queues for processing. Million-level tasks usually complete within minutes to tens of minutes, depending on platform concurrency.
- Once completed, you can receive notification via Telegram. Export results in CSV/TXT format, containing fields like registration status, activity, gender, tgid, etc.
How to Avoid Duplicate Detection in Large-Scale Screening? The Value of Data Deduplication Warehouse
Duplicate detection is the most common hidden waste in batch screening. Suppose you tested 500,000 numbers last week and upload the same pool today – without deduplication, you would pay twice for those 500,000.
The Data Deduplication Warehouse automatically records all historical detection results. When you upload a new task, the platform automatically checks whether numbers have been tested before. If a number was previously detected and the result is valid, the system reuses the historical data without charging again. This not only saves costs but also speeds up processing. Before submitting million-level tasks, it’s recommended to import the list of previously tested numbers so the warehouse builds an index.
Common Challenges and Solutions for Million-Level TG Detection
| Challenge | Root Cause | Solution |
|---|---|---|
| Task takes too long | Huge number volume, insufficient platform concurrency | Choose professional platforms with high performance concurrency; avoid peak hours |
| Messy number sources | Some numbers lack country code, non-standard format | Batch clean before upload (use tools or scripts); use platform’s global number generation module for high-quality numbers |
| Poor balance management | Insufficient estimated cost causes task interruption | Top up enough balance in advance (suggest 20% more than estimate); check console real-time pricing |
Number Source Reminder
If using self-collected number lists, ensure number format is correct; otherwise, many detections will fail. It is recommended to first generate a batch of high-quality numbers using the platform’s Global Number Generation Module to reduce invalid detections.
How to Coordinate Million-Level TG Detection with WhatsApp/Other Platform Detection?
Overseas marketing often requires multi-channel outreach. The same number list can be first tested on TG, then on WhatsApp, forming a pipeline: “Generate → Screen → Export”.
Dual-Platform Detection Strategy: TG First, Then WhatsApp
- Step 1: Perform TG registration/activity detection on the full number list, outputting a pool of active TG users.
- Step 2: Submit the remaining numbers (or another list) from TG detection for WhatsApp detection, filtering effective WhatsApp users.
- Step 3: Merge effective users from both platforms and export separately by channel.
Benefit: One number import, multiple screenings, maximizing number utilization. Moreover, KK-DATA supports selecting multiple platform detections for the same list; tasks execute sequentially.
Uses of Exported tgid/wsid in Subsequent Marketing
- tgid: Telegram’s internal unique user ID. After export, it can be used for targeted message push (via Telegram Bot API), importing third-party bulk messaging tools, or user profile analysis.
- wsid: WhatsApp Business ID, used for message sending via WhatsApp Business API.
With tgid/wsid, you can bypass number verification and send messages directly, greatly improving delivery rates.
Cost and Billing for Million-Level TG Detection: How to Control Budget?
Platforms charge per number, with no subscription plans. Different detection types have different unit prices – see console real-time pricing or official billing page. Here are three practical tips for cost control:
- Batch Detection: First run low-cost “registration check” to filter invalid numbers, then run activity or gender detection on the remaining valid numbers. Total cost is usually 30%~50% lower than running full activity detection on all numbers.
- Select Only Necessary Types: If your marketing content is universal for all users, gender or activity detection may not be needed. Choose based on need to avoid overscreening.
- Use Data Deduplication Warehouse: Historical detection results are automatically reused, avoiding duplicate charges.
Recharge: Supports USDT (TRC20) anonymous recharge, minimum ~50 USDT. Balance updates after receipt. Charges happen after task completion; submitting new tasks is not possible with insufficient balance.
Frequently Asked Questions
Q: How long does a TG detection task for 1 million numbers take?
A: Duration depends on platform concurrency and selected detection type. Registration check is fastest; activity detection has some delay. A single-task of 1 million typically completes within minutes to tens of minutes. Refer to console estimated time for specifics. Submit in advance, avoid peak hours.
Q: I only have a few thousand numbers – can I use the same tool for million-level detection?
A: Yes. KK-DATA supports tasks from dozens to 1 million numbers (single batch limit ~1 million), charged per number with no minimum. Both small and large scales use the same workflow.
Q: What if my balance is insufficient during detection?
A: Insufficient balance will prevent task submission or cause pauses. Recharge enough balance in advance (minimum 50 USDT); charges happen after completion. You can also check estimated cost before submission via the console.
Q: What is “tgid” in detection results? What is its use?
A: tgid is Telegram’s internal unique user ID. After export, it can be used for targeted message push, API calls, or importing into other tools for precision operations – greatly improving add-friend accuracy.
Q: Can I detect Telegram and WhatsApp simultaneously?
A: Yes. The platform supports selecting multiple platform detections for the same number list; tasks execute sequentially. You can also submit separate tasks for different platforms. It’s recommended to test TG first, then WhatsApp, for better cost control.
Take Action Now: Log in to the KK-DATA Application Console to create your million-level TG detection task.
Consult the Full Documentation for more detailed operation guides.
For questions, contact official support @kkdata_cc for one-on-one large-scale detection advice.
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