Cube Data Telegram Number Filtering vs KK-DATA: In-Depth Comparison of TG Activation, Activity Detection, and Export Features

When overseas customer acquisition teams need to batch-reach Telegram users, the primary task is to filter out real, active, and reachable numbers. Cube Data Telegram Number Filtering and KK-DATA are two tools frequently compared in the market, but they have significant differences in core capabilities such as TG activation detection, activity windows, and tgid export. This article does not take sides or praise either tool—it breaks down each feature from a technical implementation perspective to help you make a rational choice based on your actual workload, budget, and accuracy requirements.

---

Why TG Screening Ability Determines Acquisition Efficiency

Telegram is a highly active instant messaging platform worldwide, especially in the Middle East, Europe, and Southeast Asia. The validity and activity of TG numbers directly affect the private message reach rate and group operation costs. If a batch screening only checks whether a number is registered with TG but ignores activity, you might add many “zombie numbers” or “numbers registered but never used” to your marketing list, leading to message blocking or account risk control. Similarly, if you cannot export tgid, subsequent automated group pulling and channel invitations become difficult. Therefore, the performance of a Telegram number screening tool in the three dimensions of activation detection, activity window customizability, and export field richness directly determines acquisition efficiency.

---

Telegram Activation Detection: Cube Data vs KK-DATA

Cube Data’s TG Activation Detection Mechanism

Based on public information, Cube Data supports TG number registration detection, usually returning a status of “Active” or “Inactive.” Its backend may rely on simulated requests or third-party APIs, and the batch task limit varies by plan. For small-scale tests (a few hundred to a few thousand numbers), Cube Data’s detection speed is acceptable, but if you need to clean tens of thousands of numbers at once, it’s recommended to consult their customer service to confirm concurrency limits.

KK-DATA’s TG Activation Detection Capability

KK-DATA’s TG activation detection supports up to approximately 1 million numbers per task. After submission, the system verifies one by one whether the number is registered on Telegram. The result fields clearly distinguish:

• Active: The number is registered on Telegram and can receive messages.
• Inactive: The number is not registered on TG and should not be contacted.

The balance is deducted only after the task is completed, and an estimated cost is displayed before submission, making budget control easy. For scenarios involving large initial number cleaning, KK-DATA’s million-level concurrency significantly reduces waiting time.

Comparison Summary: Accuracy and Use Cases

Comparison Dimension	Cube Data	KK-DATA
Max task volume per batch	Requires consultation (likely tens of thousands)	~1 million
Detection status returned	Active/Inactive	Active/Inactive
Estimated cost display	Not specified	✅ Clearly shown
Suitable scenarios	Small batch verification, testing phase	Medium to large batch cleaning, efficiency-focused

Selection advice: If your monthly detection volume is below 10,000 numbers, Cube Data’s plans may suffice; if you frequently clean databases of over 100,000 numbers, KK-DATA’s pay-per-use + high concurrency model offers better cost-effectiveness.

---

TG Activity Detection: Which Is More Flexible?

Cube Data’s Activity Window and Detection Method

Cube Data’s TG activity detection typically uses “last login time” as a criterion, with a fixed window of 30 days (subject to the platform’s actual settings). Users cannot customize the activity window, and the results usually only return “Active” or “Inactive” without showing the specific last login time. This approach suits broad targeting scenarios with low activity requirements, but if you need precise filtering of users who “logged in within the last 7 days” or “within 15 days,” flexibility is lacking.

KK-DATA’s Activity Detection: Precise and Customizable

KK-DATA’s TG activity detection supports multiple activity windows: 7 days, 15 days, 30 days, and even custom days. Result fields include:

• Active / Inactive
• Returns the time range of last login (e.g., “Logged in within 7 days,” “Logged in more than 15 days ago”)

This allows you to flexibly adjust filtering criteria based on your acquisition strategy. For example:

• Promoting a limited-time event → Filter numbers active within 7 days.
• Regular brand outreach → Filter numbers active within 30 days.

Practical Application of Activity Detection in Private Message Acquisition

Suppose you have a batch of 100,000 TG numbers, and the cost to send a private message to each is 0.1 yuan, total cost 10,000 yuan. If you do not filter by activity, 30% might be long-inactive zombie numbers (over 60 days not logged in), so only 70,000 are effectively reachable, wasting 3,000 yuan of budget. By using activity detection, you only send to the 70,000 numbers that were active within the last 30 days, saving 3,000 yuan. That’s the value of TG activity detection.

---

tgid Export: Which Is More Convenient?

Cube Data’s Support for tgid Export

Does Cube Data support tgid export? Based on public information, some users report that the TG screening results do not include tgid, or require manual application for export, possibly in CSV format with a single export limit (e.g., up to 50,000 numbers). For operations teams that need tgid for group pulling or channel invitations, this limitation increases manual work.

KK-DATA’s tgid Export Process

KK-DATA directly provides the “tgid” field in screening results without additional application. Export formats support CSV and TXT, and the entire batch can be exported at once (regardless of task size). The workflow:

1. Submit a screening task (select “TG Activation” or “TG Activity” + check “Export tgid”).
2. After task completion, click “Export” on the task details page.
3. Choose an export format and wait a few seconds to download.

Exported tgid can be directly used with Telegram API methods like channels.inviteToChannel or messages.addChatUser, combined with automation scripts for batch group invitations.

How to Utilize Exported tgid for Refined Operations

With tgid, you can:

• Pull users into specific product discussion groups.
• Send targeted invitations to highly active users (logged in within 7 days) for testing.
• Combine with gender identification (detailed below) for further segmentation and personalized messaging.

The ultimate value of TG screening is not just “filtering out numbers,” but “filtering out operable tgid.” KK-DATA’s tgid export reduces intermediate conversion steps and improves operational efficiency.

---

Comparison of Other Key Dimensions: Gender Identification, Billing Model, Data Deduplication

Gender Identification Accuracy

Both Cube Data and KK-DATA support TG gender identification, based on avatar image analysis combined with public information (such as username and profile text). Since TG avatars may not be real, accuracy typically ranges from 60% to 80%. Specific differences:

• Cube Data’s gender identification is an add-on feature, possibly requiring additional payment or available only in higher-tier plans.
• KK-DATA offers gender identification as an optional detection item that can be checked in a task, billed per number, with results including “male”, “female”, and “unknown”.

Recommendation: Gender identification is mainly used for refined messaging (e.g., addressing “Mr./Ms.”) and should not be used for critical decisions.

Billing Model and Cost-Effectiveness

Billing Dimension	Cube Data	KK-DATA
Model	Plan-based (per number/monthly)	No subscription, pay per number
Minimum top-up	Plan purchase price (often with monthly minimum)	~50 USDT (TRC20)
Balance expiry	Plan balance may expire at month end	Never expires, recharge as needed
Cost estimation	Must purchase plan first, deduct from plan quota	Estimated cost displayed before task submission

Data Deduplication Capability

KK-DATA has a built-in data deduplication repository. All numbers imported in tasks are automatically deduplicated, preventing repeated detection of the same number and wasted balance. Whether Cube Data supports cross-task deduplication needs to be confirmed with customer service, but no similar feature is mentioned publicly. For teams that need to repeatedly clean the same batch of numbers (e.g., monthly cleaning), the deduplication repository can save 20%–50% in costs.

---

Comprehensive Suggestions: How to Choose a TG Screening Tool?

• Small test / monthly task volume ≤ 10,000 numbers: Cube Data’s plans may be more straightforward, provided you don’t need custom activity windows or tgid export. Please refer to Cube Data’s official website for real-time information.
• Medium to large batch cleaning (100,000+ numbers): KK-DATA’s pay-per-number, million-level task concurrency, direct tgid export, and customizable activity windows offer better cost-effectiveness.
• High-frequency operations team / need tgid for automated group pulling: Prioritize KK-DATA (complete tgid export + pay-per-number, avoiding plan waste).
• Strict budget control: KK-DATA’s estimated cost display, no plan, and non-expiring balance suit teams that do not want to commit to fixed costs.

There is no absolute “best,” only “most suitable.” It’s recommended to run a small batch test on both platforms (Cube Data often offers trial credits; KK-DATA deducts per number after top-up). Compare detection accuracy and costs, then decide.

---

Frequently Asked Questions

Q: Which is more accurate, Cube Data or KK-DATA, in Telegram number screening?
A: Both rely on official interfaces or simulated detection. Accuracy depends on the number source. Small batch comparison testing is recommended.

Q: What does “7-day active” in TG activity detection mean?
A: It means the number has logged into Telegram within the last 7 days. Different platforms may have different definitions of “active.” Confirm the window definition before use.

Q: Can exported tgid be directly used to invite people into groups?
A: Yes. After exporting tgid, you can use the Telegram API or third-party tools to send group invitations, but be mindful of anti-spam policies and control request frequency.

Q: Does Cube Data support pay-per-number?
A: Please refer to Cube Data’s official website/console for real-time information. KK-DATA supports subscription-free pay-per-number; you only pay for what you use.

Q: What is the maximum number of numbers that can be processed in a single batch TG screening?
A: Cube Data’s limit requires consultation; KK-DATA supports up to approximately 1 million per task; larger numbers can be split into multiple tasks.

---

Try It Now

• Log in to KK-DATA Console and experience TG screening
• Read the documentation for detailed instructions
• Contact Telegram support @kkdata_robot for one-on-one guidance