Is thdata Telegram Filtering Sufficient? A Comprehensive Comparison with KK-DATA on Registration, Activity Detection, and tgid Export

In cross-border user acquisition, Telegram filtering (TG filtering) is the core step for batch-verifying whether numbers are reachable and active. Whether you are doing group引流, private message promotion, or user segmentation, choosing the right filtering tool directly impacts efficiency and cost. thdata, as one of the early tools in this space, is used by many teams. But as business needs deepen — for example, requiring custom activity windows, exporting tgid (Telegram internal ID), or cross-task deduplication — is just basic detection still enough? This article objectively compares thdata and KK-DATA’s Telegram filtering capabilities across dimensions such as TG registration detection, activity detection, tgid export, gender recognition, billing model, and data deduplication, helping you determine which better suits your current business stage.

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thdata Telegram Filtering vs. KK-DATA: Core Feature Comparison

First, let’s look at an intuitive comparison table covering the most commonly used detection items and export capabilities for TG filtering:

Feature Dimension	thdata (based on public info)	KK-DATA
TG registration detection (registration check)	✅ Supported (basic)	✅ Supported
TG valid detection (active account)	✅ Supported	✅ Supported
TG activity detection (custom window 7/15/30 days, etc.)	❓ Possibly only fixed window (needs verification)	✅ Supports custom window
tgid export	❌ Usually not provided	✅ Supported
Gender recognition (from avatar)	❓ Not publicly supported	✅ Supported
Single task upper limit	Needs confirmation	Approximately 1 million entries
Data deduplication repository	❌ No independent dedup feature	✅ Automatic cross-task dedup
Billing mode	Plan-based (may include fixed quantity)	No subscription, pay per entry
Payment method	Usually fiat currency	USDT (TRC20)

From the table above, KK-DATA offers more complete options in custom activity windows, tgid/gender export, and data deduplication. Next, we’ll break down how each difference impacts practical operations.

Registration Detection vs. Activity Detection: Depth and Flexibility Comparison

TG registration detection is the foundation of all filtering tools — determining if a number has registered for Telegram. Both tools can usually accomplish this with little difference.

TG valid detection further filters users who have been active recently (e.g., logged in within the last 30 days), which is more valuable for marketing than simply “registered.” If thdata provides valid detection, it is likely based on a fixed time window (e.g., 30 days). However, in practice, different scenarios require different activity timelines:

• 7-day active: suitable for time-limited activities, flash group引流; faster user response.
• 15-day active: suitable for regular group invitations, balancing reach rate and scale.
• 30-day active: suitable for bulk broadcasting, widest coverage.

KK-DATA, when submitting a TG activity detection task, supports specifying 7/15/30 day windows, and even custom days (depending on console options). This means you don’t need to prepare multiple phone number lists for different windows — one task can accurately target the desired group.

Additionally, KK-DATA offers gender recognition (based on avatar), helping you further distinguish user profiles for personalized copy or segmentation testing. Whether thdata supports gender recognition needs verification, but most basic tools do not provide this.

tgid Export and Gender Recognition: Data Completeness Comparison

tgid is the unique numeric ID Telegram assigns to each user (similar to a WeChat ID but more stable). The value of exporting tgid lies in:

• More stable group management: accurately identify users via tgid, avoiding confusion from username changes or duplicate nicknames.
• Prevent duplicate additions: when private messaging or inviting, deduplicate based on tgid to avoid bothering the same user.
• Integration with other systems: pass tgid into CRM, auto-reply bots, or data platforms for automation.

thdata usually only returns phone number + status (registered/not registered), does not provide tgid export. KK-DATA, after successful TG detection, allows exporting CSV or TXT files containing tgid. Combined with gender data, you can build user segmentation tables like this:

Phone Number	Status	tgid	Active Days	Gender
+86-139…	Registered + Active	12345678	Within 7 days	Male
+1-415…	Registered inactive	-	-	-

Such data quality far exceeds a simple “valid” label.

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Billing Model and Cost Control: Which is More Flexible Between thdata and KK-DATA?

The billing model directly affects long-term cost flexibility. thdata primarily uses plan-based pricing — e.g., buying a fixed number of entries monthly or yearly, with additional fees for overages. This model suits teams with stable detection volumes. But if demand drops sharply in a month, plan quota is wasted; conversely, if demand spikes, per-unit overage may be expensive.

KK-DATA adopts a no-subscription, pay-per-entry model:

• Recharge USDT (TRC20) to your balance, minimum about 50 USDT.
• Before submitting a task, the system shows an estimated cost; the amount is deducted from the balance after completion.
• Different detection types (TG registration, TG activity, export tgid, etc.) have different unit prices, displayed in real-time on the console.
• If the balance is insufficient, new tasks cannot be submitted until a top-up is made.

The benefit of this model is pay only for what you use, with no plan waste or automatic renewal hassles. It is especially suitable for teams with fluctuating detection volumes or those just starting TG user acquisition.

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Data Deduplication and Task Management: Avoid Wasting Costs on Duplicate Detection

Many teams make the mistake of importing the same batch of numbers multiple times for different checks, or different members duplicating detection on the same numbers. Each detection incurs cost, leading to hidden expenses.

thdata generally does not provide built-in deduplication; you need to maintain your own number library or manually compare. KK-DATA includes a “data deduplication repository”: all imported numbers are automatically stored in the repository. When submitting a new task, the system skips numbers already detected, charging only for undetected portions. This saves both balance and time.

Example: You have a list of 100,000 numbers. First, a TG registration detection uses 20,000. The remaining 80,000 proceed to TG activity detection. If you submit the same file directly for the second task, KK-DATA will recognize the 20,000 already detected and charge only for the 80,000. With thdata, you might need to manually remove those 20,000 rows; otherwise, you get charged twice.

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User Experience and Task Notification: Which TG Filtering Flow is Smoother?

An efficient filtering flow should be like an assembly line: upload numbers → select detection type → see estimated cost → submit task → wait for results → export. KK-DATA has several detail advantages in this area:

• Estimated cost shown before submission: you immediately know how much the task will cost, helping control budget.
• Telegram notification when task completes: no need to refresh the page constantly; after binding @kkdata_cc, you automatically receive a message when the task ends.
• Multi-format export: supports CSV, TXT, etc., ready for next-step marketing tools.
• Global number generation: if you lack target numbers, you can use random generation or prefix-based generation for free to create numbers, then filter them. Generation is free; only filtering is charged per entry.

thdata’s process is generally similar but lacks estimated cost display and timely task notifications — you can only check results through the console.

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Summary: How to Choose for Cross-border TG Filtering Scenarios?

Back to the initial question: Is thdata Telegram filtering sufficient? The answer depends on your needs:

• If you only need the most basic “registered/not registered” detection, with stable detection volume, and you don’t care about data details (tgid, gender) or deduplication cost waste, then thdata’s plan may meet your budget.
• If you need flexible activity windows, export tgid for refined operations, avoid duplicate detection, and prefer pay-as-you-go transparency, then KK-DATA’s feature set clearly aligns better.

For teams with high frequency and need for refined operations (e.g., group private messaging, segmented marketing, automation and CRM integration), it is recommended to prioritize platforms with more complete features. You can first log in to KK-DATA Console and create a simple TG activity detection task to experience the entire flow, then evaluate it against thdata.

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Frequently Asked Questions

Q: Can thdata Telegram filtering detect TG activity?
A: thdata provides TG valid detection (active accounts), but whether activity detection supports custom windows (e.g., 7 days, 15 days, 30 days) depends on its actual platform features. KK-DATA supports TG activity detection with specified activity windows.

Q: What does KK-DATA’s tgid export mean? How is it useful?
A: tgid is the unique numeric ID Telegram uses to identify users. Exporting tgid can be used for more stable group management, preventing duplicate additions, and integrating with other tools for data exchange.

Q: Between thdata and KK-DATA, which billing is more cost-effective?
A: Their billing models differ. thdata may have a plan threshold; KK-DATA has no plans, pay per entry, pay only for what you use. Specific unit prices should be based on real-time prices on each platform’s console, and you should evaluate based on your monthly detection volume and recharge threshold.

Q: Can I directly import numbers filtered by thdata into KK-DATA for reuse?
A: Yes, but it is recommended to first use KK-DATA’s “data deduplication repository” feature for cross-task deduplication to avoid being charged again for already detected numbers.

Q: What payment methods does KK-DATA support? What is the minimum recharge amount?
A: Supports USDT (TRC20) recharge, minimum about 50 USDT. For detailed billing instructions, see the official billing page.

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If you have further questions, feel free to contact official customer service @kkdata_cc for one-on-one consultation, or directly refer to the documentation for more feature details.