Cattle Data Telegram Number Screening Feature Comparison: KK-DATA vs Cattle Data – Which is More Efficient?

If you’re engaged in overseas customer acquisition, community management, or private message promotion, batch verification of Telegram numbers’ validity and activity is almost an unavoidable step. There are several tools on the market for Telegram number screening, among which “Cattle Data” and “KK-DATA” are often compared side by side. This article will objectively compare the differences between the two tools from the core dimensions of registration detection, activity judgment, tgid export, gender identification, billing model, data deduplication, and console experience, helping you determine which one better matches your business scenario.

What are the Core Capabilities of Telegram Number Screening?

From a practical business perspective, a reliable Telegram number screening tool should at least cover the following four basic scenarios:

• Registration Detection: Determine whether a batch of phone numbers have already registered for Telegram. This is the prerequisite for all subsequent screening.
• Activity Judgment: Among registered numbers, further identify those who have been online recently and use the app frequently. For private message promotion and community invitations, the reach value of active users is far higher than dormant accounts.
• Gender Identification: Use AI to identify the gender of the number user based on their avatar, assisting ad targeting or content strategy adjustments.
• tgid Export: Export the Telegram ID (tgid) from the screening results for integration with automated sending tools or secondary processing.

The comparison framework of this article will revolve around these four dimensions, combined with billing, deduplication, operation experience, etc., to provide a relatively complete selection reference.

Registration Detection and Activity Screening: Cattle Data vs KK-DATA

Registration Detection Capability Comparison

Both tools can detect whether numbers have registered for Telegram. In terms of batch capacity, KK-DATA supports submitting up to approximately 1 million numbers per task. After submission, processing is done asynchronously in the background, and the result is notified via Telegram upon completion. The single processing limit of Cattle Data is subject to its official documentation; it is recommended to confirm the specific limit before submission.

Regarding detection accuracy, both tools determine based on the return status from the Telegram server, theoretically with no essential difference. The return speed depends on the task size and server load; typically, million-level tasks are completed within a few minutes to tens of minutes.

Activity Window Flexibility and Accuracy

Activity screening is key to distinguishing “reachable users” from “silent accounts”. KK-DATA allows users to customize the activity window, e.g., active within 7 days, active within 15 days, or active within 30 days, and can also mark recent online time. The value of this flexibility lies in the fact that different businesses define “active” differently. For example, a C-end marketing campaign may only need users active within 7 days, while B2B industry communication could relax to 30 days.

For Cattle Data’s activity functionality, refer to its official documentation. If it only provides a fixed time period (e.g., active within 30 days) for screening, then teams requiring a more precise reach window will face limitations. It is recommended to compare the specific supported activity window options before actual use.

tgid Export and Gender Identification: Which Platform is More Comprehensive?

tgid Export Format and Scenarios

tgid (Telegram ID) is the unique numeric identifier for each Telegram user. Exporting tgid in screening results can be used for:

• Importing into automated message sending tools (e.g., Telegram mass messaging bots) for targeted push.
• Integrating with corporate WeChat or CRM systems to build user profile databases.
• Using tgid for deduplication to avoid sending duplicate messages to the same user.

KK-DATA supports exporting the tgid field in screening results, with formats available in CSV or TXT, convenient for subsequent script processing. Whether Cattle Data provides tgid export functionality and the completeness of exported fields should be confirmed through its official documentation or actual testing. If your workflow relies on tgid for secondary automation, this is an important selection factor.

Gender Identification Accuracy and Data Application

Both tools use avatar AI recognition to determine gender. KK-DATA associates the recognition result (male/female/unknown) with the number and supports batch filtering of users of a target gender. This recognition method’s accuracy is affected by avatar clarity, whether a real person’s photo is used, and whether multiple people are present. Typically, on large-scale data, it can achieve a usable level of about 70%–85%, but cannot be 100% accurate.

Cattle Data’s gender identification capability is similar. It is recommended to compare the detail level of recognition labels (e.g., whether it distinguishes the “unknown” category) and whether it supports exporting the gender field. In practice, gender data is better used as an auxiliary screening condition rather than the sole criterion.

Billing Model and Cost Control: Pay-per-use vs Subscription Package?

The billing model directly determines the long-term usage cost for a team, especially for small and medium teams with fluctuating traffic and budget sensitivity.

KK-DATA adopts a no subscription package, completely pay-per-number model. Users first recharge balance via USDT (TRC20). When submitting a task, the system displays the estimated deduction amount, and after task completion, the actual fee is deducted from the balance. There are no monthly or annual fees, and you don’t pay for idle time. The minimum recharge is about 50 USDT, and the balance is valid indefinitely until used up.

Cattle Data’s billing model depends on its official announcement. If it uses monthly/yearly packages or hybrid billing (basic subscription fee + overage per number), then for teams that use it occasionally or have significantly varying batch sizes, it may result in higher idle costs or overage expenses.

From a cost control perspective, pay-per-use offers greater flexibility. You only pay for the numbers you actually process, without needing to estimate future usage. It is recommended to check the specific per-number detection price in both consoles or billing pages, and estimate total cost based on your average processing volume over the last three months.

Data Deduplication and Batch Processing Efficiency

In the screening process, number deduplication is an easily overlooked but impactful step. If the same number is submitted for detection in different batches, duplicate deductions will occur, increasing unnecessary costs.

KK-DATA has a built-in cross-task data deduplication repository. All submitted numbers are automatically compared with historical detection records. If a number has been detected before, the system marks it as “already exists” and does not charge again. This mechanism is particularly useful for teams that need periodic screening (e.g., pulling a new batch of numbers from the total pool every week).

Whether Cattle Data provides a similar cross-task deduplication feature and whether it supports users manually uploading existing number databases for comparison should be verified in its official documentation. Without a built-in deduplication mechanism, users would need to deduplicate manually via Excel or scripts, increasing manual work and error risk.

For scenarios with large lists and multiple batches, a built-in deduplication repository can save considerable time and balance.

Console Experience and Task Management

Task Submission and Estimated Fee

KK-DATA’s task submission page clearly lists: the number of uploaded numbers, selected detection types (registration/activity/gender, etc.), corresponding unit price, and estimated total deduction amount. Users can see how much balance the task will consume before clicking “Submit”, facilitating budget control.

For Cattle Data’s fee transparency during task submission, it is recommended to experience its console firsthand before making a judgment. If there is no fee preview before submission, or if the deduction details are only available after task completion, it will be less intuitive for team expense management.

Multi-format Export and Notification

KK-DATA supports exporting screening results in CSV or TXT format. Additionally, users can enable “task completion notification” when submitting a task; after the task finishes, a message is sent via Telegram Bot containing the task ID, completion status, and result summary. This eliminates the need to constantly refresh the console, improving efficiency when running multiple tasks in parallel.

Cattle Data’s export formats and notification methods (email/SMS/in-site message, etc.) are subject to its official documentation. If your team prefers receiving notifications on Telegram or needs flexible export formats, this point is also worth comparing.

Comprehensive Comparison and Selection Recommendations

Below is a table summarizing the differences between the two platforms in core dimensions. Note: The content about Cattle Data in the table is inferred based on public information; refer to official documentation for specifics.

Comparison Dimension	KK-DATA	Cattle Data
Registration Detection	Supported, up to ~1 million per task	Supported, specific limit per official docs
Activity Window	Customizable (7/15/30 days, etc.)	Per official docs (may be fixed window)
tgid Export	Supported, CSV/TXT format	Per official docs
Gender Identification	Avatar AI recognition, supports batch filtering	Avatar AI recognition, per official docs
Billing Model	Pay-per-number, no subscription	Per official announcement (may include packages)
Data Deduplication	Built-in cross-task deduplication repository	Per official docs (may require manual dedup)
Fee Preview	Estimated deduction shown before submission	Subject to actual console experience
Notification Method	Telegram notification	Per official docs (email/in-site, etc.)
Minimum Recharge	~50 USDT (TRC20)	Per official announcement

Selection Recommendations

• If you are a small team with limited budget and fluctuating processing volume: KK-DATA’s pay-per-use model is more flexible, avoiding idle subscription fees, suitable for scaling up from small tests.
• If you need frequent screening of active users and have customized activity window requirements: KK-DATA supports multiple activity windows (7/15/30 days, etc.), allowing more precise targeting of recently online users, improving customer acquisition efficiency.
• If you have a large historical number database and need periodic deduplication screening: KK-DATA’s built-in deduplication repository prevents duplicate charges and reduces manual processing.
• If you prefer monthly packages and have very stable usage: Evaluate whether Cattle Data’s package pricing is more economical for fixed usage, but it is recommended to first test with a pay-per-use model to understand your actual usage.

Overall, KK-DATA has advantages in flexibility (activity window, deduplication, billing) and fee transparency (pre-preview), making it suitable for overseas teams pursuing fine-grained operations and cost control. It is recommended to log into the KK-DATA App Console to experience the testing process directly, or consult the documentation for more detailed feature descriptions. For specific questions, you can also contact Telegram support directly.

Frequently Asked Questions

Q: For KK-DATA’s Telegram activity detection, what is the shortest activity window that can be set?

A: KK-DATA supports customizing the activity window. Currently, the shortest setting is 7 days. You can also choose options like 15 days, 30 days, etc. Please refer to the available options displayed in the console when placing an order.

Q: Does Cattle Data support tgid export?

A: For specific feature support of Cattle Data (including tgid export), please refer to the platform’s official documentation or actual console options. KK-DATA supports exporting the tgid field in screening results.

Q: If I submit a batch of numbers on KK-DATA, and some of them have been previously detected, will I be charged again?

A: No. KK-DATA’s deduplication repository automatically recognizes previously detected numbers; the same number is charged only once. When resubmitted, duplicate numbers are marked and skipped, incurring no charge.

Q: Where can I view KK-DATA’s billing unit price?

A: For specific unit prices of all detection types, please log into the KK-DATA App Console or visit the official billing page https://kkdata.cc/billing/. Prices are based on real-time display in the console.

Q: What is the approximate accuracy rate of gender identification for the two tools?

A: Both use avatar AI recognition, with accuracy heavily influenced by avatar quality. For real-person, single-profile photos, it typically reaches 70%–85%. For cartoon avatars, group photos, or non-human avatars, the result is marked as “unknown”. It is recommended to use gender data as an auxiliary filter rather than the sole decision basis.