TG Number Screening for Agencies: Full Process Standards and Tool Comparison for Batch Delivery of Telegram Filtered Data

When marketing agencies and operations teams undertake Telegram community promotion or private messaging lead generation projects, the core deliverable is often a “high-quality number list” that has been filtered, annotated with account status, activity level, and even gender. However, many teams encounter issues in practice such as messy data sources, budget waste from duplicate detection, inconsistent delivery formats, and frequent changes in client requirements. Without a standardized TG screening process, efficiency suffers, and data quality issues can erode client trust.

This article provides a practical, actionable TG screening workflow for agency teams, covering everything from requirement confirmation to data delivery, and compares the core functional differences of mainstream tools (007data, thdata, KK-DATA) to help you choose the best screening platform to improve delivery efficiency and client satisfaction.

Why Do Marketing Agencies Need a Standardized TG Screening Process?

In today’s outbound lead generation environment, Telegram has become a key platform for B2B, cross-border e-commerce, and private traffic operations. Agency TG number screening typically involves the following scenarios:

• Batch verification of client-provided number pools: Clients may provide hundreds of thousands or even millions of raw numbers (from trade show business cards, website registration data, purchased lists, etc.) that need to be screened for active Telegram accounts.
• Precision targeting: Clients may require messaging only to users who have been “active in the last 30 days” or need to distinguish between male/female users for different outreach scripts.
• Verifiable data delivery: Agencies need to provide a clear data report with statistics across multiple dimensions (activation rate, activity rate, gender ratio) along with raw data for verification.

Without a standardized process, common problems include: duplicate detection across different batches (wasting money), inconsistent result fields (some exports include tgid, others don’t), and inability to demonstrate screening quality to clients (lack of activity timestamps).

Therefore, establishing a closed loop from “requirement confirmation → number source preprocessing → deduplication → submission → result export → report generation” is the foundation for agencies to scale their delivery.

Step 1: Requirement Confirmation and Number Source Preparation

This step is often overlooked but is the most critical. Before receiving client numbers, be sure to clarify the following points:

• Number source and format: Clients may provide CSV, Excel, TXT, or even an image. Confirm whether numbers are in international format (with country code, e.g., +8613800138000). If they lack country codes, explain the required format in advance.
• Priority of detection dimensions: Does the client simply need “active on TG” or “active in last 7 days + gender”? Different detection types have different unit prices, so inform the client of estimated costs upfront.
• Task volume: The maximum single batch size (KK-DATA supports up to ~1 million records per task). Larger volumes need to be split. Confirm the total number of records and estimate costs.

Common Number Source Formats and Preprocessing Suggestions

• Plain text: One number per line, with or without country code. Preprocessing: Add + prefix, remove non-numeric characters.
• CSV/Excel: May contain multiple columns (name, phone, email, etc.). Preprocessing: Extract the phone number column, deduplicate, unify format.
• No existing numbers: The client may only have a target country/region (e.g., California, USA; Southeast Asia). In this case, use number generation modules. KK-DATA supports random number generation based on country/area codes, which can then be screened.

Confirming Detection Types and Priorities with Clients

Agencies can provide a simple “Requirement Confirmation Form” with the following items:

Item	Options / Fill In
Target Platform	Telegram / WhatsApp / iMessage
Detection Type (multiple selection)	□ Activation Check □ Validity Check □ Activity Check (Activity Window: 7/15/30 days) □ Gender Detection □ tgid Export
Total Number of Records	________ records
Budget Ceiling	________ USDT
Delivery Format	CSV / TXT / Excel with Report

Confirming these details in advance avoids frequent mid-project adjustments and helps you control task volume.

Step 2: Building a “Generate → Deduplicate → Screen” Pipeline

Once numbers and requirements are confirmed, you can set up a standardized pipeline on a screening platform. Using KK-DATA as an example, the process is as follows:

1. Import number source: Upload client-provided numbers (CSV/TXT/Excel) or use the global number generation feature to supplement missing numbers.
2. Data deduplication: Import the numbers to be screened into the “Data Deduplication Warehouse”. The system will automatically compare against numbers already screened in previous tasks, skipping duplicates to avoid double charging.
3. Submit screening task: Select the platform (Telegram), detection types (activation, validity, activity, gender, etc.), and submit. An estimated cost will be shown before submission; deduction occurs after confirmation.
4. Task execution: The system automatically performs batch screening. Large tasks may take minutes to hours. You can receive a Telegram notification upon completion.

When to Use the Number Generation Module to Supplement Client Lists

If the client does not have their own numbers and only provides a target market and criteria (e.g., “I need 1 million active Telegram users in the USA and they must all be active”), you can generate random numbers for that country first, then screen them. Number generation is free; only screening is charged per record. The benefit: agencies can “customize” the number pool as needed for more precise delivery.

The Role of the Deduplication Warehouse: A Money-Saving Trick for Repeated Screening

Many agencies receive numbers from different clients that may overlap. If you submit them directly each time, duplicates will be charged again, wasting budget.

For long-term clients, you can import all historically delivered numbers into the warehouse, so new tasks automatically skip duplicates. This not only saves budget but also demonstrates your professionalism in “efficient data management” to clients.

Step 3: Task Follow-Up and Result Export

After submitting a task, agencies can check real-time progress in the control panel. Platforms offer the following ways to track status:

• Control panel task list: Shows task ID, submission time, current progress, estimated remaining time.
• Telegram notification: The system sends a notification to your Telegram upon completion for immediate processing.
• Result export: After completion, choose export format (CSV/TXT) and select the required data fields. Common fields:
  • Number
  • Is Active (Y/N)
  • Is Valid (Y/N)
  • Activity Level (e.g., online in last 7 days / last 30 days, etc.)
  • Gender (Male / Female / Unknown)
  • tgid (Telegram user ID for further development or custom messaging)
  • Last Online Time (timestamp)

It is recommended that agencies export with a fixed field template (e.g., including tgid, last online time, gender) to standardize delivery data and make it easy for clients to use directly.

Horizontal Comparison of Popular Agency TG Screening Tools: 007data, thdata, and KK-DATA

Currently, common Telegram screening tools used by agencies include 007data, thdata, and KK-DATA. The following is an objective comparison across functional dimensions (specific pricing subject to real-time prices on each platform’s official site/console):

Feature Dimension	007data	thdata	KK-DATA
Gender Detection	Not supported	Not supported	Supported (based on avatar recognition)
Activity Window	Fixed (e.g., 7 days)	Fixed (15 days)	Selectable (7/15/30 days)
tgid Export	Partial support	Partial support	Supported
Number Generation	Not provided	Not provided	Supported for 240+ countries/regions
Deduplication Warehouse	None	None	Supports cross-task automatic deduplication
Billing Model	Plan-based	Per-record / mixed	Pure per-record (no subscription)
Export Formats	CSV/TXT	CSV/TXT	CSV/TXT
Platform Coverage	Telegram	Telegram	Telegram, WhatsApp, iMessage, RCS, etc.

Analysis and Recommendations:

• If your agency’s main need is basic activation checks, both 007data and thdata can meet the requirement, but note that their plan-based models may not be ideal for small, frequent tasks.
• If you need to deliver high-value data with gender, flexible activity windows, and tgid, KK-DATA’s gender detection and flexible activity windows are more competitive, and the deduplication warehouse can significantly reduce long-term costs.
• If you also handle screening for WhatsApp, iMessage, and other platforms, KK-DATA’s all-in-one multi-platform support reduces the hassle of switching between tools.

Agency TG Screening Delivery Standards: Report Template and Suggestions for Clients

Regardless of the tool used, the final report delivered to the client should include the following core content. It is recommended to use a unified report template:

Data Report Template (Example)

Project Name: Client_X_TG_Screening (April 2025)
Screening Platform: KK-DATA
Task Parameters: Telegram Screening | Activation + Validity + Last 30 Days Activity + Gender

1. Total Numbers: 120,000 records
2. Statistics by Dimension:
   - Activated TG: 80,000 records (66.7%)
   - Valid among activated: 75,000 records (93.8%)
   - Last 30 days active: 32,000 records (42.7%)
   - Gender Distribution: Male 18,000 (56.3%), Female 10,000 (31.2%), Unknown 4,000 (12.5%)
3. Sample Data Preview (first 10 records):
   +8613800138001 | Activated | Valid | Online in last 30 days | Male | tgid:12345678
   +8613800138002 | Not activated | / | / | / | /
   ...
4. Exported File: Full data in CSV format attached (includes tgid, last online time, gender)
5. Suggested Next Steps:
   - Remove non-activated numbers; only promote to the 32,000 active users.
   - Push Script A to male users, Script B to female users to improve conversion rates.

Providing clients with optimization suggestions (e.g., precise targeting of active numbers) helps clients see the real value of the data and encourages long-term collaboration.

Frequently Asked Questions

Q: Is it expensive for agencies to use 007data for Telegram screening?

007data uses a plan-based model. Initial costs may be low, but with large task volumes or repeated screening, plan credits can be consumed quickly. For specific pricing, check their official website for real-time rates. In comparison, KK-DATA uses pure per-record billing with no subscription pressure, and its deduplication warehouse can save agencies significant costs from repeated screening. We recommend testing with small batches to compare actual costs.

Q: Between thdata and KK-DATA, which has more comprehensive Telegram screening features?

Based on publicly available features, KK-DATA supports gender detection, flexible activity windows (7/15/30 days), tgid export, cross-task deduplication warehouse, and number generation for 240+ countries/regions, which thdata currently lacks or supports only partially. thdata is stable for basic activation checks, but if you need more granular activity and gender data, KK-DATA has a clear advantage.

Q: How long does large-scale TG screening take?

Time depends on task volume and platform processing speed. For KK-DATA, a single task can handle up to ~1 million records, usually taking minutes to hours (depending on detection type and system load). Agencies can receive completion notifications via Telegram without needing to monitor in real-time.

Q: How can agencies avoid wasting budget on duplicate detection of client data?

Use KK-DATA’s data deduplication warehouse. Import all previously screened numbers into the warehouse, and new tasks will automatically skip duplicates. This prevents the same batch of numbers from being charged multiple times across different client projects, saving considerable costs over time.

Q: How accurate is Telegram gender detection?

Gender detection is based on a machine learning model analyzing avatars and usernames. Accuracy depends on avatar clarity and whether the user has set an avatar. In batch screening scenarios, recognition rates are generally above average, but numbers with missing or blurry avatars will be marked as “Unknown”. KK-DATA’s gender detection is suitable as a reference for data segmentation, not for absolute decision-making.

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Next Steps: Log in to the App Console to try free number generation, refer to the User Documentation for screening pricing details, or contact customer service via Telegram @kkdata_cc to inquire about agency collaboration plans.