Detailed explanation of Zalo’s data export field: How to batch verify the validity of numbers and export user data

In the Southeast Asian market, especially in Vietnam, Indonesia, Thailand and other places, Zalo’s penetration rate has long been at the forefront of social applications. For the overseas customer acquisition team, whether the number can be confirmed in batches before marketing whether the number has been registered with Zalo will directly affect the private message reach rate and cost control. zalo activation data detection is the first filter that precedes all delivery actions.

This article will focus on the Zalo filtering capabilities provided by the KK-DATA platform, and break down in detail the meaning of the exported fields, practical application scenarios, and operational precautions to help you quickly convert original numbers into executable user portrait data.

What is Zalo activation data detection?

Zalo activation detection refers to verifying through technical means whether a mobile phone number has registered an account on the Zalo platform. To put it simply, the result only outputs two statuses: activated (registered) or unactivated (not registered).

This action seems simple, but in the complete link of overseas customer acquisition, it is often the step with the highest ROI - because most of the “invalid numbers” can be eliminated in this round, preventing subsequent invalid private messages from wasting balances.

Zalo activation detection vs Zalo effective detection

Many users confuse the concepts of “activated” and “valid”. The following table can help you quickly distinguish:

Detection type	Judgment criteria	Typical uses
Zalo activation test	Is the number registered with Zalo	Batch filter unregistered numbers
Zalo effective detection	Whether messages can be received after registration (if the account has not been blocked or completely abandoned)	Refined filtering can reach users

In actual operation, it is recommended to run a round of zalo activation data, directly discard the “unactivated” numbers in the results, and only keep the “activated” numbers; if the budget and demand allow, then perform “effective detection” on the activated numbers, so that the private message arrival rate can be increased from the basic line to more than 80%.

Why opening Zalo is the first step to acquire customers in Southeast Asia

Vietnam has more than 80 million active Zalo users, covering more than 90% of Vietnamese Internet users. In such a market, a “number” does not equal a “Zalo user”. Sending a private message directly to an unregistered number is equivalent to sending a text message to an empty number - not only will it be fruitless, but it may also trigger an operational ban.

Therefore, after getting the number list, the first step is to use zalo activation data detection to separate “with numbers” from “without numbers”. According to industry experience, this round of filtering can eliminate 60%–70% of invalid numbers, allowing you to spend every penny on real target users.

What are the core fields included in the Zalo activation data export?

After completing the Zalo filter task in the KK-DATA console, you can export the results to CSV or TXT format. The exported field list is dynamic in real time (subject to the actual column name in the console), but usually covers the following types of core data:

Basic identification fields: number, country code, uid

• Number: The original number you submitted (international format or local format)
• Country code: such as +84 (Vietnam), +66 (Thailand), etc.
• uid: The user’s unique identifier within the Zalo platform. After exporting the uid, you can use it for subsequent targeting or API docking (such as enabling remarketing groups in the Zalo advertising platform)

The important value of uid is that even if you don’t know the user’s mobile phone number, you can track the same user for a long time based on uid. Many high-level operations will specifically save the uid field for building a user portrait database.

Status field: activation and activity

• Activation status: 开通 / 未开通
• Activity (if the task is configured with this option): distinguish between 日活, 周活, 月活, 沉默多日, etc. Activity detection can further identify the user’s recent login frequency, which is very critical for determining the private message open rate. For example, you can prioritize users who are “active within 30 days.”

User portrait fields: gender identification and age range

KK-DATA supports gender and age detection for some Zalo users. The results come from the public fields of the user’s profile and system inference. They are not ID-level accurate, but they are sufficient for targeted coarse screening of the population.

• Gender: 男 / 女 / 未知
• Age: such as 25–30, 30–35, etc.

For example, if you want to promote a game to Vietnamese men aged 25-35, you can filter the numbers in the exported results by “Gender = Male, Age = 25-35” and then put them into marketing activities.

What practical scenario problems can Zalo solve by activating data export?

1. Filter invalid leads in batches When you get a large number of numbers from search engines, exhibition registrations, business cards and other channels, run Zalo directly to activate the detection, and you can eliminate more than 60% of meaningless numbers within a few hours, saving the budget for subsequent private messages.

2. Gender Targeted Private Message Promotion The exported gender field can help you select audiences based on different product attributes: beauty products are for women, games are for men, and you can quickly filter out matching number packages.

3. Active users will be reached first Separate “active” users from “activated but inactive” users, and formulate different reach strategies: active users post strong conversion content, and silent users wake up with benefits first.

4. Secondary placement and remarketing Use the exported uid to upload the user ID to Zalo’s official advertising platform for remarketing to improve conversion rates.

How to export Zalo activation data through KK-DATA?

The operation process is very straightforward and does not require complex configuration. Here are the simplified steps:

1. Prepare number file Collect the numbers you want to verify and organize them into CSV or TXT format, with one number per line (it can include international prefixes or not, and the platform will intelligently complete them).

2. Log in to the console and submit the task Visit KK-DATA Console, select “Zalo activation detection” (or “Zalo effective detection”) in “Screening task”, upload the number file and configure the detection type (activation/active/gender, etc.).

3. Check the estimated cost and top up Before submission, the system will display the estimated deduction amount for this task. Make sure you have enough balance (minimum about 50 USDT), if insufficient, top up via USDT (TRC20).

4. Wait for the task to complete The task usually takes a few minutes to dozens of minutes to complete (depending on the volume of numbers). You will receive a Telegram notification when completed (if linked).

5. Export data Click “Export” on the task details page and select CSV or TXT format to download the filtered results including all fields.

What should you pay attention to when exporting Zalo activation data?

• Fields are subject to actual export from the console The platform may adjust field names or add new fields at different times. For example, the “Gender” column may be displayed as “gender” or “sex”. Don’t trust third-party screenshots, always use the column names in the CSV file exported after you submit the task as the only basis.

• uid cannot be reversed uid is Zalo’s internal identifier and has no direct mapping relationship with mobile phone numbers. Please keep the exported file safe, especially note that the uid field cannot be used to retrieve the original number, and do not rely solely on uid as the only contact method.

• Unit price fluctuates The detection unit price of each platform will be dynamically adjusted according to market costs (such as operator simulation costs). There may be a slight difference between the estimated fee when the task is submitted and the final deduction (generally within ±5%). It is recommended to do a small test before batching large tasks.

FAQ

**Q: After Zalo enables data export, will the user’s personal privacy (such as mobile phone number) be included? ** Answer: The exported data only includes the number itself submitted by you, the status of platform detection and some public portrait fields (such as gender, uid), and will not reveal the user’s undisclosed private information. All testing is conducted within a compliance framework.

**Q: Can the exported Zalo uid be used for secondary targeting? ** Answer: Yes. uid is the internal identifier of the Zalo platform. You can use this uid for remarketing in subsequent Zalo advertising portals or API docking. It is recommended to reserve the uid field for building a user portrait library.

**Q: What is the difference between Zalo activation test and Zalo effective test? ** Answer: The activation test only verifies whether the number is registered with Zalo (result: activated/not activated); the effective test further verifies whether the account can receive messages (result: valid/invalid). It is recommended to perform activation testing first, and then perform effective testing on the activated number to increase the private message arrival rate.

**Q: Is the “Gender” data in the exported fields accurate? ** Answer: The gender field comes from Zalo user profile public fields and behavioral inferences. It is not ID card-level accuracy, but can be used for targeted rough screening of marketing groups. In actual use, it is recommended to use the gender field as a reference rather than a precise basis.

**Q: When exporting Zalo data, it prompts that the balance is insufficient. What should I do? ** Answer: Task submission will fail when the balance is insufficient. You need to recharge with USDT (TRC20), with a minimum of about 50 USDT. After recharging, the balance will be automatically updated and you can resubmit the task. For details on recharge and billing, please refer to Official website billing page.

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👉 Log in to the console now https://app.kkdata.cc/ to start Zalo screening; or contact customer service through two-way https://t.me/kkdata_robot to inquire about task configuration issues. The official website https://kkdata.cc/ and documentation https://docs.kkdata.cc/ provide more guidance.