Data Compliance Processing Guide: Privacy Protection and List Security Management After Number Screening

In overseas marketing, using screening tools (such as KK-DATA) to batch verify the activity status, gender, and other details of Telegram and WhatsApp numbers is a common practice to improve lead acquisition efficiency. However, the exported number files, activity labels, TGID/WSID and other data constitute personal sensitive information. Improper handling may not only violate regulations like GDPR and CCPA but also lead to data leaks, loss of trust, and legal risks. This article will, from the perspective of data compliance processing, outline the complete process for privacy protection and list security management after screening and exporting, enabling your team to efficiently acquire leads while maintaining compliance.

Why Data Needs Compliance Processing After Screening

Data exported from a screening platform typically includes:

• Phone numbers (country code + full number)
• Activity status (e.g., “online within 7 days”, “inactive for 30 days”)
• Gender (recognized via avatar, may be inferred)
• Platform IDs (TGID, WSID)

According to Article 4 of the GDPR, phone numbers constitute “personal data”; activity status and gender fall under “special categories of data” (e.g., gender associated with personal identity). Even in B2B marketing scenarios, collecting and using such data without consent for marketing purposes may trigger compliance violations. For example, the European Union’s General Data Protection Regulation requires data controllers (i.e., you) to have a lawful basis for processing (e.g., consent, legitimate interest), and to adhere to principles of purpose limitation and data minimization. Similar provisions exist in Thailand’s Personal Data Protection Act (PDPA) and Singapore’s Personal Data Protection Act (PDPA).

Thus, data compliance processing is not optional but a necessity for the long-term stable operation of overseas teams. The following four steps will help you systematically manage the data exported from screening.

Privacy Risks and Legal Requirements After Screening Data Export

Common Risk Points

Risk Type	Specific Manifestation	Consequences
Data Leakage	Exported files are unencrypted, shared with all staff arbitrarily, or transmitted via public tools	Numbers misused, obtained by competitors
Use Without Consent	Sending private messages to unauthorized users, triggering platform bans or lawsuits	Account suspended, complaints filed with regulators
Long-term Retention	Outdated lists retained locally or in the cloud, increasing the window of leakage	Violation of data retention period requirements
Uncontrolled Permissions	Departing employees’ access not revoked, or outsourced personnel holding complete data	Data copied or sold

Overview of Compliance Requirements in Major Regions

• EU (GDPR): Processing personal data must have a lawful basis (e.g., explicit consent or legitimate interest); data may only be used for declared purposes; retention period must not exceed business necessity; data breaches must be notified to regulators within 72 hours.
• US States: California CCPA/CPRA grants consumers rights to know, delete, and opt out; Florida, Virginia, and other states have similar laws.
• Southeast Asia: Thailand PDPA, Singapore PDPA, Indonesia PDP, etc., all require data controllers to assume security obligations; violations can result in significant fines.

Step 1: Data Access Permission Control

1. Set Access Scope by Role

Within the team, different roles should only see data fields necessary to complete their tasks. For example:

• Operations staff: May see last four digits of phone numbers + activity labels, but cannot export full numbers.
• Analysts: May export masked CSV (middle four digits hidden) only for channel performance analysis.
• Administrators: May view complete data but require approval for operations.

It is recommended to use a file system supporting field-level permissions (e.g., corporate intranet drive, encrypted shared folder), or manually mask data before distributing after export.

2. Enable Operation Logs and Auditing

Every data export, modification, or deletion should record: who, when, and which files were operated on. This can be achieved by:

• Using cloud service audit logs (e.g., AWS CloudTrail, Alibaba Cloud ActionTrail).
• Enabling Windows file auditing or NAS logging if using local shared folders.
• Having the security officer review anomalies quarterly (e.g., large exports late at night, unauthorized access).

3. Employee Confidentiality Agreements and Training

All employees (including interns and outsourced staff) who access exported data must sign a data confidentiality agreement specifying consequences of violation. Additionally, conduct regular training:

• Prohibit sending unmasked data via chat tools like WeChat, QQ.
• Prohibit storing exported files on personal computers, USB drives, or unencrypted cloud storage.
• Educate staff on GDPR/CCPA basics: data sovereignty, user rights, breach reporting.

Step 2: Data Masking and Anonymization

Masking sensitive fields in exported files significantly reduces harm in case of a leak.

1. Partial Phone Number Masking

Operation method: In Excel or a Python script, use REPLACE function or regex to replace the middle four digits. Example: =REPLACE(A2, 4, 4, "****").

2. Masking Associated Labels

Activity status and gender labels do not directly expose identity, but combining them with other data (e.g., device fingerprint, IP) can still identify individuals. Recommendations:

• Keep only the level of detail needed for analysis (e.g., “active”, “silent”, “offline”) rather than specific timestamps.
• Gender should not be used as direct marketing basis; label it as “inferred value” to reduce legal risk.

3. Encrypted Storage of Exported Files

Immediately after downloading screening results, encrypt them locally or in the cloud:

• Local: Use 7-Zip or VeraCrypt to create encrypted archives with passwords of at least 8 characters, including uppercase, lowercase, numbers, and symbols.
• Cloud: Use end-to-end encryption services (e.g., Cryptomator) or built-in cloud encryption (e.g., AWS S3 SSE-KMS).

Step 3: Secure Storage and Transmission

Data must be protected both at rest and in transit.

• Encrypted Channels: Avoid using plain HTTP or unencrypted FTP for file transfer; use SFTP, HTTPS, or encrypted email attachments (e.g., ProtonMail).
• Restrict Sharing Methods: Do not send raw data via instant messaging tools like WeChat or DingTalk. If sharing is necessary, use a password-protected archive and send the password separately (via a different channel).
• Regular Key Rotation: Change encryption keys or cloud storage keys every 90 days and record change history.

Step 4: Regular Cleanup and Auditing

Implementation steps:

1. Create a Data Retention Policy Table: List screening tasks, dates, retention periods, and deletion dates.
2. Automated Cleanup: Use scripts (e.g., Python os.remove) or cloud storage lifecycle policies (e.g., AWS S3 Lifecycle) to automatically delete expired data.
3. Quarterly Audits: Check for remaining unmasked data in current storage; verify permission settings are appropriate; ensure deletion records are complete.

How to Leverage Tools to Improve Compliance Efficiency

When using a screening platform, you can utilize its built-in features to simplify compliance processes.

Using KK-DATA as an example, the platform itself incorporates some privacy-friendly characteristics:

• No Long-term Data Retention: Screening results are stored only temporarily; after you download them, the platform does not retain the data (subject to platform documentation). This reduces the platform’s data holding risk.
• Pay-per-use, No Subscription: You don’t have to worry about data being locked or leaked due to plan expiration; tasks pause when balance runs out, keeping data under your control.
• Deduplication Repository: Cross-task deduplication avoids repeated checks, indirectly reducing redundant data in exported files.
• Multi-format Export: Supports CSV/TXT, making it easy for you to perform masking immediately.

Of course, tools are only aids. The actual compliance responsibility lies with you as the data processor. It is recommended to embed the following actions into your daily workflow:

• Encrypt storage immediately after export.
• Use dedicated file management tools within the team (e.g., internal wiki, shared encrypted drives).
• Check export records every 30 days and delete files no longer needed.

Frequently Asked Questions

Q: Can exported screening data be freely shared with team members?
A: No. Only share necessary fields based on the principle of least privilege, and ensure the sharing channel (e.g., encrypted email or internal file system) is secure and controlled. For example, operations staff only need to see masked numbers and activity status.

Q: Is there a standard format for masking?
A: There is no unified international standard, but you can refer to GDPR’s “pseudonymisation” suggestion. A common practice is to at least hide the middle four digits of phone numbers and remove plain-text identifiers (e.g., replace TGID with a hash). If used for statistical purposes, you may keep area codes and activity labels.

Q: Do files exported using KK-DATA themselves have risks?
A: KK-DATA does not retain user data long-term; exported files are downloaded by users autonomously. It is recommended to encrypt the files immediately after download and restrict access. The platform itself will not actively share your data, but the security of your local or cloud storage remains your responsibility.

Q: How long should data be retained?
A: It is advisable to set retention periods based on marketing cycles. General marketing lists: 3–6 months; active marketing lists: 1–2 months. After expiry, data should be permanently deleted (including from recycle bin and backups). Record the task date upon export and use scripts for automatic cleanup.

Q: What is the first step if a data breach is discovered?
A: Immediately revoke all access rights, notify relevant members to change passwords, then investigate the source of the breach. Depending on local regulations (e.g., GDPR requires notification to regulators within 72 hours), keep breach logs. Also notify potentially affected users (e.g., individuals whose numbers were leaked) to prevent further misuse.

Start Implementing Your Data Compliance Process

Data compliance processing is not a one-time task but a process integrated into daily operations. Summary of key action points:

1. Control Permissions: Set access scope by role and enable audit logs.
2. Mask Data: Immediately after export, hide parts of phone numbers and encrypt storage.
3. Secure Transmission: Use encrypted channels for file sharing; avoid instant messaging tools.
4. Regular Cleanup: Set retention periods, delete upon expiry, and keep records.
5. Continuous Learning: Track regulatory changes in your target markets and adjust processes accordingly.

If you are currently using KK-DATA for number screening, log in to the App Console (https://app.kkdata.cc/) to view your recent screening tasks and process the exported files according to the steps above. For export security settings or compliance process advice, refer to the Docs (https://docs.kkdata.cc/) or contact Customer Service Telegram (@kkdata_robot).

Data compliance processing not only protects user privacy but also forms the foundation for your team’s long-term trust with overseas customers. Start embedding compliance into every screening task today.