Complete Guide to Migrating Number Screening from Cow Data to KK-DATA: List Format, Task Creation, and Field Mapping

In overseas marketing and community operations, Telegram and WhatsApp number screening is the first step to acquiring customers. Many teams initially use “Cow Data” for number screening, but as business scales or when requirements for features and billing models change, they begin considering platform migration. This article aims to help you migrate number screening from Cow Data to KK-DATA, providing a detailed explanation of key steps such as list format conversion, console task creation, and export field mapping, while objectively comparing core differences among common screening tools like 007data and thdata, enabling you to make informed decisions before migration.

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Why Consider Migrating Number Screening from Cow Data to Another Platform

Reasons for migration vary by individual. Below are several common considerations for you to assess against your own scenario:

• Billing Model: Cow Data typically uses subscription packages, while KK-DATA uses pay-per-request with no subscription package, suitable for teams with fluctuating usage. Pay only for what you use, with no fixed monthly expenses.
• Multi-Platform Coverage: Some screening tools support only a single platform (e.g., only Telegram), whereas KK-DATA supports multiple social platforms including Telegram, WhatsApp, iMessage, and RCS, allowing cross-platform screening within a single console.
• Data Deduplication Capability: Repeatedly uploading the same numbers wastes balance. KK-DATA offers a cross-task data deduplication repository that automatically identifies previously detected numbers, avoiding duplicate charges. The original platform may lack this feature.
• Customizable Activity Window: In Telegram screening, KK-DATA allows specifying activity windows of 7/15/30 days, while some tools may be fixed at 30 days and cannot be adjusted.
• Gender Recognition: Identifying Telegram number gender via avatar—this is a paid add-on on some platforms, while KK-DATA includes it as a standard detection item.

Of course, each platform has its own advantages. We suggest you list the 3–5 most critical features for your current business and compare them against the actual capabilities of each platform’s console. Platform migration is not mandatory, but if your current tool shows bottlenecks in flexibility or cost, evaluating alternatives is a wise move.

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Migration Step 1: Export Number List from Cow Data and Convert Format

Different platforms have different requirements for uploaded number formats. Files exported from Cow Data usually need simple cleaning to be correctly recognized by KK-DATA.

Common Formats and Issues When Exporting Numbers from Cow Data

Cow Data commonly exports files in CSV or TXT format, which may include the following issues:

• File contains a header row (e.g., column names like “Number”, “Country Code”)
• Number column contains spaces, dashes, parentheses, or other delimiters
• Missing international codes (e.g., Chinese mobile numbers missing +86 prefix)
• Each row may contain multiple data items (e.g., number + detection result) instead of a pure number list

Conversion Steps:

1. Open the exported CSV file, keep only the pure number column, and delete other columns.
2. Ensure numbers are in international format: +country code + number, e.g., +8613800138000. If + is missing, it is recommended to add it; KK-DATA also supports formats without +, but adding it reduces parsing ambiguity.
3. Remove all spaces, hyphens, and parentheses. Keep only one number per line.
4. Save as a UTF-8 encoded TXT or CSV file (without BOM).

Use KK-DATA’s Data Deduplication Repository to Clean Historical Duplicate Numbers

During migration, you may merge multiple batches of numbers from the past. To avoid redundant detection, you can first upload all historical numbers to KK-DATA’s “Data Deduplication Repository”. The system will automatically filter out existing numbers, and new tasks will only charge for new numbers.

Operation path: Login to KK-DATA Console → Left menu “Data Deduplication Repository” → Import CSV/TXT. Supports a maximum of approximately 1 million entries per import.

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Migration Step 2: Create Your First Screening Task in the KK-DATA Console

Below we use Telegram screening and WhatsApp screening as examples to demonstrate the complete process from login to submission.

Step 1: Log in to the Console and Complete USDT Recharge (Minimum approx. 50 USDT)

Visit the KK-DATA Console and register/log in. Go to “Financial Management” → “Recharge” and use USDT (TRC20) for a minimum recharge of approximately 50 USDT. Once credited, your balance updates automatically without waiting for confirmation.

Step 2: Select Platform and Upload the Cleaned List

Click “Create Task” → Select platform:

• To detect Telegram numbers: Choose “Telegram Screening”
• To detect WhatsApp numbers: Choose “WhatsApp Screening”
• To detect iMessage or RCS: Select the corresponding platform accordingly

Upload your cleaned TXT or CSV file; the system will validate the format and count the total numbers. You can also choose whether to enable the “Data Deduplication Repository” to avoid detecting duplicate numbers.

Step 3: Configure Detection Items and Submit Task

Check the detection types as needed (multiple selections allowed):

Platform	Optional Detection Items
Telegram	Registered (Active), Valid, Active (7/15/30 days), Gender (avatar recognition), tgid export
WhatsApp	Valid number detection, wsid export
iMessage / RCS	Supports registration detection, etc. (Actual items subject to console availability)

Before submission, you can view the estimated cost (per number × unit price). Fees are deducted from your balance after the task is completed. Insufficient balance prevents submission; you need to recharge first.

After submission, the task enters a queue. Once completed, results are automatically populated. You can receive notifications via Telegram (requires binding) or download the exported file directly.

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Migration Step 3: Understanding Export Field Mapping—Comparing Outputs from Cow Data

Field names in KK-DATA’s exported results may differ from those in Cow Data. Below are correspondences for commonly used fields (descriptive comparison, not an exhaustive list):

• TG Registered / Valid: Cow Data might call it “TG Registration” or “Valid”. KK-DATA uses “Registered” and “Valid” as two independent statuses. “Registered” indicates the account exists; “Valid” means it can receive messages (no restrictions?).
• Activity: Cow Data might output “Active” or “Inactive”. KK-DATA returns “Active” or “Inactive” based on the activity window you specify (7/15/30 days), along with the last online timestamp (if supported).
• Gender: Some platforms output “Male/Female/Unknown”. KK-DATA gives similar classification via avatar recognition and may include a confidence level in the field (optional).
• tgid / wsid: KK-DATA directly exports Telegram ID or WhatsApp ID (depending on the platform), whereas the original platform might display it in a separate column.

We recommend creating a small batch task (about 100 numbers) before migration, download results from both the original platform and KK-DATA, manually compare field correspondences, and identify the data columns you actually need.

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Best Practices for Synchronized Migration from Other Screening Tools (e.g., 007data, thdata)

If your team currently uses multiple tools (including 007data, thdata, etc.) and wants to unify them under KK-DATA, the following strategies can improve efficiency.

Merging and Deduplication of Lists from Multiple Platforms

1. Export all number lists from each tool and unify the format (international format + no headers + one number per line).
2. Use KK-DATA’s “Data Deduplication Repository” to merge and automatically deduplicate, avoiding wasted balance from redundant detection.
3. For numbers already detected, you can directly mark them as “results exist” without submitting redundant tasks.

Leverage Task Notification Feature for Automated Management

KK-DATA supports sending notifications via Telegram after task completion. In the console settings, bind your Telegram account (@kkdata_cc) to receive a message when a task ends, eliminating the need to frequently refresh the page. This is suitable for team collaboration scenarios where multiple members can receive notifications simultaneously.

Billing Model Comparison (Objective Reference):

Feature	KK-DATA	007data / thdata (General)
Billing Method	Pay-per-request, no subscription	Commonly subscription packages or pay-per-request
Multi-Platform	Telegram, WhatsApp, iMessage, RCS	Some support only Telegram or WhatsApp
Deduplication Repository	Built-in cross-task deduplication	Usually not available
Gender Recognition	Telegram avatar recognition	Partially supported
Activity Window	7/15/30 days adjustable	Common fixed 30 days

The above is a general comparison. For specifics, refer to the actual display on each platform’s console. It is recommended to register and try them out before making a decision.

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Post-Migration Validation and Common Pitfalls

How to Verify Result Quality?
Take the same batch of numbers (approximately 1000) from the original platform and KK-DATA, manually send a test message to a sample to verify the accuracy of the “Active” mark, or compare the consistency of gender recognition. If the deviation is less than 10%, it is generally acceptable.

Common Mistakes in Early Migration:

• Insufficient Balance: Not recharging before submitting a task, causing the task to fail and get stuck in the queue. After recharging, you need to manually resubmit.
• Incorrect Detection Type: For example, using “Telegram Valid” to detect WhatsApp numbers—all results will return “Not Registered”.
• Failing to Enable Deduplication Repository: Repeatedly uploading the same batch of numbers wastes balance. Be sure to import historical data into the deduplication repository first.
• Format Errors: Numbers include country codes but without the + prefix, or contain special characters, causing some numbers to be skipped. We recommend running a small batch test first.

We recommend carefully reading the KK-DATA Usage Documentation or contacting customer service @kkdata_cc for assistance before first use.

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Frequently Asked Questions

Q: Do numbers exported from Cow Data need format conversion?
A: Yes. Cow Data may come with table headers or extra symbols. It is recommended to clean the data to pure numbers (one per line, including country code, no spaces) before uploading to KK-DATA. The console will automatically validate the format, but rows with errors will be skipped; cleaning in advance is advised.

Q: What are the core advantages of KK-DATA compared to 007data or thdata?
A: Each platform has its strengths. KK-DATA stands out for multi-platform social screening (Telegram, WhatsApp, iMessage, RCS), global number generation, cross-task deduplication, and no subscription packages—pay-per-request, suitable for teams with fluctuating usage. For specific feature comparisons, refer to the real-time experience and pricing pages of each platform’s console.

Q: What about the remaining balance or packages from Cow Data after migration?
A: This matter involves third-party platform policies. We recommend contacting Cow Data customer service to confirm the refund or consumption plan. KK-DATA uses a recharge balance system with no subscription binding, making fund usage more flexible after migration.

Q: Are KK-DATA’s detection fields consistent with Cow Data? For example, can the activity window be customized?
A: Some fields correspond, such as the activity window in KK-DATA which can be specified as 7/15/30 days, etc. However, specific field names may differ. It is recommended to refer to the “Export Field Mapping” section in this article, or directly create a small batch task to compare results.

Q: During migration, how can I ensure consistency in number screening results?
A: It is recommended to run the same detection type on the same batch of numbers (approximately 1000) on both platforms and compare the overlap rate of results. KK-DATA has independent explanations for its detection algorithms. Contact customer service @kkdata_cc for technical support.

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Whether you are migrating number screening from Cow Data or from other tools to KK-DATA, the core steps are: clean the format, use the deduplication repository to reduce costs, and validate results through small batch tests. Start by logging into the KK-DATA Console to experience it, or refer to the Usage Documentation for more details. If you have questions, contact Telegram customer service @kkdata_cc for one-on-one assistance.