The Ultimate Guide to TG Cold Start Number Filtering: Number Preparation Funnel and Effective Number Screening Strategies Before DM

In overseas marketing and Telegram community operations, “cold start” — reaching potential users directly via DM with zero user base — is one of the most common customer acquisition scenarios. However, many teams buy large batches of numbers without any pre-processing and start sending directly. The result: DMs are rejected, accounts are banned, and conversion rates are abysmal. What’s the problem? A critical step is missing: number screening.

TG cold start number filtering is not optional; it’s the first line of defense before sending DMs. This article will dissect the entire cold start process, breaking down the number screening funnel from raw numbers to precise DM lists, and compare mainstream tools like 007data, thdata, and KK-DATA to help you build a practical and efficient TG number screening workflow.

Why Is TG Cold Start Inseparable from Number Screening?

Cold DM is essentially “blind sending,” but blind sending does not mean aimless. Without screening, the number pool is filled with invalid numbers: numbers not registered on Telegram, long-inactive “zombie accounts,” and even flagged redundant numbers. Sending to these numbers directly not only wastes DM quotas (daily sending limits exist) but also increases the risk of being flagged by anti-spam systems. Continuously sending to unregistered or low-activity accounts can easily trigger Telegram’s anomaly detection, resulting in temporary muting or even permanent bans.

Three Major Pain Points of Cold DM: Invalid Numbers, Account Bans, Low Conversion Rates

• Invalid Numbers: A large proportion of numbers have never registered for Telegram. Sending to them directly returns errors or “user does not exist,” wasting your quota.
• Account Bans: Sending messages too frequently to inactive or unacquainted users will be judged as spam marketing, leading to account restrictions or suspensions.
• Low Conversion Rates: Spraying messages indiscriminately regardless of gender or activity means recipients may already be tired of ads and directly report you, accelerating the decline of account health.

How Number Screening Improves DM Quality from the Source

The core logic of screening is to build a cascading data funnel: sequentially remove unregistered numbers, low-activity numbers, and non-target gender numbers from the raw pool, leaving only “registered + active + target user” valid numbers. Every DM hits a potential user, naturally boosting reply and conversion rates. Based on industry experience, after complete screening, the DM reply rate can increase by 3–5 times, while the complaint rate drops significantly.

TG Number Screening Data Funnel: Four Steps from Raw Numbers to Precision DM List

Below, using the KK-DATA platform as an example, we illustrate a complete TG number screening data funnel (applicable to other tools with similar features).

Step 1: Batch Number Acquisition or Generation

Goal: Build an initial pool of numbers to screen.

Number sources usually include: own databases, overseas public data (e.g., scraping public members of Telegram groups), purchased number lists, and global random generation. KK-DATA’s built-in global number generation module supports random generation for 240+ countries/regions, global number segment generation, and custom CSV imports. Generation is completely free; only subsequent screening is charged per entry. This is very practical for projects needing to quickly build a test pool for cold starts.

Step 2: Telegram Registration Check — Remove Invalid Numbers

Goal: Confirm whether a number has registered for Telegram (i.e., “registration check”).

This is the first gate of the entire funnel. Most unregistered numbers (usually 60%–80%) are filtered out directly. The registration check returns results of “registered” and “not registered.” Only registered numbers proceed to the next round. In KK-DATA, the registration check is submitted as a task, with a maximum of about 1 million entries per task. You can receive notifications via Telegram upon completion.

Step 3: Activity Screening — Lock In Real Users

Goal: Among registered numbers, further detect online frequency within a target time window.

For cold start scenarios, common choices are 7-day, 15-day, or 30-day activity checks. 7-day activity means the user has shown online behavior within the past 7 days; 30-day activity is more relaxed. For campaigns pursuing high reply rates, it is recommended to choose 7-day or 15-day active numbers; for brand exposure campaigns, 30-day active numbers may be acceptable. KK-DATA supports custom activity windows (7/15/30 days, etc.) for flexible matching of different strategies.

Step 4: Gender Identification and Export — Refined Operations

Goal: Identify user gender based on avatar to enable targeted messaging.

Gender identification is especially important for dating apps, beauty e-commerce, gaming apps, etc. For example, dating app promoters often want to message only users of the opposite sex; beauty brands lean toward female users. KK-DATA’s gender identification is done through avatar analysis; accuracy is affected by avatar content, but overall it meets most marketing needs. Finally, export the filtered results as CSV or TXT, and also export tgid and wsid (Telegram/WhatsApp identifiers) for accurate reach via API later.

Comparison of Key Screening Dimensions for Cold DM Scenarios

Different cold start goals emphasize different screening dimensions. Below are three core dimensions and recommended settings:

Dimension	Description	Recommended Parameters (Cold Start)
Activity Window	Time range since user’s last online activity	15-day active (balance between reply rate and number volume); for extremely high reply rate requirements, choose 7 days
Gender Identification	Identify male/female via avatar	Choose based on campaign: dating apps recommend gender identification; general brands can skip
Export Format	Number + tgid/wsid	Must include tgid when exporting, to skip numbers later and send via user ID (lower risk)

Horizontal Comparison of Mainstream TG Screening Tools (007data, thdata, KK-DATA)

In the TG number screening tool market, 007data, thdata, and KK-DATA are frequently mentioned. Below is an objective comparison from the dimensions of features, pricing, console experience, and data deduplication.

Feature Comparison: Registration Check, Activity, Gender, tgid Export

Detection Type	007data	thdata	KK-DATA
TG Registration Check	Supported	Supported	Supported
TG Active	Supported	Supported	Supported
TG Activity (Custom Days)	Partial fixed windows	Partial fixed windows	Customizable: 7/15/30 days, etc.
Gender Identification	Partial support	Partial support	Supported (avatar based)
tgid/wsid Export	tgid requires extra processing	Supported	Direct tgid/wsid export
Cross-task Deduplication	Not supported	Not supported	Supported (Data Dedup Repository)

Note: Specific features and limitations are based on each platform’s console; the table above is compiled from public information.

Pricing Models: Subscription vs. Pay-As-You-Go, Which Suits Cold Start Better?

• 007data: Usually offers monthly/annual subscription packages (with or without limits), suitable for teams with stable high-volume tasks. However, during the early cold start phase with uncertain demand, subscriptions may lead to idle waste.
• thdata: Also subscription-based; some platforms may support pay-per-use top-ups; please refer to the official website.
• KK-DATA: Pure pay-per-use, no subscription packages. Top up USDT (TRC20, minimum ~50 USDT), and deductions are made per detection record; estimated costs are shown before submitting a task. You pay only for what you use, which is very friendly for early testing.

For teams in the cold start phase, we recommend testing each platform with a small batch (500–1000 records) to evaluate features and costs before deciding on a long-term solution. Real-time prices for each platform are available on their official pricing pages; we do not provide specific figures here.

Console Experience and Data Deduplication Capabilities

• Task Management: All three platforms support task submission, progress viewing, and result downloading. KK-DATA additionally offers Telegram push notifications upon task completion, allowing operations staff to stay informed in real time.
• Data Deduplication: This is a differentiator for KK-DATA. Its built-in “Data Dedup Repository” can automatically deduplicate across tasks, preventing the same number from being detected multiple times and wasting balance. For example, if a team has multiple number pools to screen repeatedly, the dedup repository can increase valid balance utilization by 10%–30%.

TG Number Screening Best Practices: Four Dos and Four Don’ts Before Cold DM

Four Dos

1. Test with a Small Sample First: Before large-scale screening, test 200–500 numbers to verify the accuracy of each platform’s registration check and activity detection.
2. Set a Reasonable Activity Threshold: For cold starts, start with 15-day active numbers, then tighten to 7 days later based on reply rates.
3. Use Deduplication: If multiple campaigns share the same number pool, make sure to enable cross-task deduplication (KK-DATA supports this) to ensure each number is only detected once.
4. Allow Time for Account Warming: Newly registered accounts sending a large number of DMs are very likely to be banned. It’s recommended to warm up the account for 1–2 weeks by posting normal interactions before starting cold DMs with screened numbers.

Four Don’ts

1. Don’t Send the Same Message in Large Batches Continuously: Even if all numbers are valid, sending identical content within a short time will be flagged as template messages by Telegram. Space them 5–10 minutes apart and slightly vary the content.
2. Don’t Use Flagged Accounts to Send to New Numbers: Even if a flagged account has screened valid numbers, it may still drag down new accounts. Rotate accounts regularly.
3. Don’t Ignore Time Zone Differences: When sending DMs to users in different countries, consider local schedules. For example, Middle Eastern users rest during the day and are active at night. Activity detection already covers time zone info, but you can adjust sending windows based on number country codes.
4. Don’t Overlook Account Warming: Number screening is just the appetizer; account authority is the foundation for long-term success. New accounts should first join groups, post on channels, and interact with users for a week before starting DMs.

How to Build Your Own TG Cold Start Number Screening Pipeline with KK-DATA

Below, we provide a complete SOP using the KK-DATA console (https://app.kkdata.cc/) as an example.

1. Generate a Number Pool: Log into the console → Enter “Number Generation” → Select target country/region (e.g., Southeast Asia, Middle East, Europe/America) → Set quantity (recommend starting with 10,000) → Generate and download CSV.
2. Submit Registration Check: Go to “Screening Tasks” → Select Telegram Registration Check → Upload the number file you just generated → Review estimated cost and submit → Wait for completion (tasks usually finish within minutes; enable notifications via the official Telegram channel to receive real-time updates).
3. Screen Active Numbers: Download the registration check results → Submit a new screening task, select “Telegram Active (15 Days)” → Import the numbers that passed registration.
4. Extract Gender Labels: Optionally submit a “Gender Identification” task on the active numbers.
5. Deduplicate and Organize: Put the final results into the “Data Dedup Repository” and compare with existing number pools to ensure each unique user receives only one message.
6. Export DM List: Choose the export format (CSV/TXT), check the tgid/wsid fields, and download the list.

Frequently Asked Questions

Q: Is number screening mandatory for TG cold start? Can I just send directly without screening?
A: Theoretically possible, but extremely risky. Sending to unregistered numbers wastes DM quotas and may trigger Telegram’s anti-spam mechanisms. After screening, the DM reply rate typically increases by 3–5 times, and account health is better protected.

Q: Which is better for TG cold start screening, 007data or KK-DATA?
A: Both support basic screening functions. Differences lie mainly in pricing models and export capabilities. 007data offers subscription packages; KK-DATA is pure pay-per-use (no subscription), supports tgid/wsid export, and cross-task deduplication. Choose based on your task volume and budget; refer to each platform’s official website for real-time prices.

Q: How accurate is thdata’s TG number screening?
A: The registration check accuracy of thdata and similar tools is roughly comparable to peers. However, activity detection and gender identification algorithms may vary slightly between platforms. We recommend testing with a small batch (e.g., 500 records) and comparing actual DM reply rates to select the best tool for your target market.

Q: How long does it take for USDT deposits to reflect in balance?
A: KK-DATA uses USDT (TRC20). Crediting time depends on blockchain confirmations, typically 5–10 minutes. Minimum deposit is about 50 USDT. Once credited, balance updates automatically and you can submit screening tasks.

Q: How soon can I receive a notification after a screening task is completed?
A: The platform offers Telegram notification (requires pre-binding). You receive a push notification within seconds of task completion, no need to manually refresh the page.

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Try It Now: Log into the KK-DATA Console to create your first TG number screening task, or check the documentation for more details. For questions, contact official support @kkdata_cc.