How can e-commerce companies use Zalo to activate data to improve customer acquisition efficiency when going overseas? From number screening to high conversion practice

Vietnam is one of the fastest-growing e-commerce markets in Southeast Asia, and Zalo, as a national-level social networking application in Vietnam, covers more than 70 million monthly active users and has become the main base for private domain operations of e-commerce overseas teams. However, when many teams add friends in batches, invite followers or send promotional messages, they face a large number of invalid numbers - empty numbers, numbers that have not been registered with Zalo - leading to high risk of account suspension and high communication costs. The first step to solve these pain points is to master Zalo activation data.

Zalo activation data refers to a valid mobile phone number that has been tested and confirmed to be registered on the Zalo platform. Unlike ordinary number lists, activation data allows you to accurately reach real Zalo users and avoid wasting time and money on numbers that cannot receive messages. This article will combine e-commerce practical scenarios to explain in detail how to obtain, filter and utilize Zalo activation data, and implement it with the help of KK-DATA’s screening capabilities.

What is Zalo activation data? Why must e-commerce companies pay attention to it when going overseas?

The essence of Zalo activation data is a “valid user tag”. When you have a batch of Vietnamese phone numbers on hand, you often can’t tell intuitively who is using Zalo. Through Zalo activation detection, the platform will verify whether each number has been registered with Zalo and return the “activated/unactivated” status. The activation data is the filtered out registered numbers.

For e-commerce overseas teams, the reason for attaching importance to Zalo activation data is very straightforward:

• Reduce invalid contacts: Directly sending friend requests or messages to numbers that are not registered with Zalo not only wastes times, but may also lead to account restrictions due to reports.
• Improve the initial feedback rate: Based on the friend-adding/group-building operation based on the activation list, the feedback rate is usually 3–5 times higher than random addition.
• Support precise operation: Combined with Zalo’s gender, activity and other fields, the target group can be further defined.

It can be said that Zalo activation data is the “filter” for Vietnamese e-commerce private domain customers. Without it, subsequent marketing activities can easily become “blind typing”.

E-commerce scenario: What real pain points can Zalo solve by activating data?

In daily e-commerce operations, the following scenarios particularly rely on Zalo activation data:

Scenario 1: It is necessary to quickly accumulate Zalo fans during the new product listing period

When new products are launched, the team often needs to gather a large number of Zalo OA fans in a short period of time, or initiate word-of-mouth communication in Zalo groups. If you manually add random numbers from the public domain number pool, a large number of requests will be rejected or go to waste. Using zalo activation data to filter out users in target cities in Vietnam (assisted by number segments) and specific genders, and then sending friend invitations or follow requests in batches can significantly increase the pass rate.

Scenario 2: Clean historical contact information before the big promotion to improve the message arrival rate

After the e-commerce team has accumulated customer data for many years, many numbers may have become invalid. If you do not clean up before the big sale and send Zalo messages directly to all numbers, there will be a large number of sending failures or delays. Through Zalo activation detection, invalid numbers are eliminated, and only registered and active users are retained. Every promotional message can fall into the hands of real users, and the ROI will naturally be higher.

Scenario 3: Discover potential agents/distributors

Many local distributors and small shop owners in Vietnam use Zalo as their main communication tool. If you have a batch of potential B2B contacts (such as numbers collected at exhibitions), quickly identify who is using Zalo through Zalo activation data, and then combine the gender/active fields to filter out the truly active sellers, which can significantly reduce the communication cost of the BD team.

Comparison of adding friends randomly vs. adding friends based on the activated list

Dimension	Randomly add friends	Based on Zalo activation list
Friend request pass rate	10%–20%	40%–70%
Invalid reply rate	High (a large number of empty accounts/unregistered)	Low (almost all valid users)
Risk of account suspension	High (frequent requests for empty accounts trigger risk control)	Relatively low
Operational efficiency	Poor, wasting a lot of manpower	High, data-driven

How to get Zalo activation list? The complete process using KK-DATA as an example

KK-DATA (Official Website) is a multi-platform number screening platform that supports mainstream social number detection such as Telegram, WhatsApp, Line, and Zalo. The following takes Zalo sieve numbers as an example to demonstrate the standard process from number preparation to result export.

Step One: Preparation – Where does the list of numbers come from?

You need a batch of Vietnamese mobile phone numbers to be tested. Common sources include:

• Historical Customer Data: Contact information of previously accumulated consumers/partners.
• Industry number segment: Vietnam mobile operator mark (such as Viettel 086/098, Mobifone 090/093, Vinaphone 091/094, etc.), which can be obtained through online query or number segment database.
• KK-DATA’s “Global Number Generation” module: In the number generation function of the console, select the country “Vietnam” to generate a specified number and specified number range for free in the format of CSV or TXT. Number generation is completely free and is only used for subsequent screening.

After preparing the number list, upload it to the platform. Supports CSV, TXT format, one number per line.

Step 2: Configure Zalo screening tasks - how to select detection items?

Log in to KK-DATA Console, enter the “Create Task” page, and select the “Zalo Screen Number” module. You need to check the following detection items:

• Zalo activation (required): Check whether each number is registered with Zalo.
• Zalo active (optional): Specify the active window (such as the last 7 days/30 days) to mark whether the user is online.
• Zalo Gender (optional): Identifies the user’s gender (male/female), which can be used for targeted marketing.
• Zalo other fields (optional): such as uid export, etc. The actual options in the console shall prevail.

Note: Each time you check one more item, the unit price of the test will increase. Fees are calculated on a per-item basis, and the estimated fee will be displayed before submission. Fees will be deducted after the balance is recharged. For the specific unit price, please check the official website billing page or the real-time price on the console.

Step 3: Export and implement the results - how to use the activation list for subsequent operations?

After the task is completed, the platform will notify you through Telegram (notification settings need to be turned on in advance). You can download the results on the task details page, and the format supports CSV or TXT. The results include fields for each number: activation status, active status, gender, uid and other fields.

The exported CSV can be directly imported into the fan invitation function of Zalo OA, or used with social group messaging tools (such as Zalo plug-ins, enterprise APIs) to add friends and attract groups. Since the numbers in the list are all Zalo-activated users, the probability of adding an empty number is extremely low, and the account security factor is improved.

如何组合 Zalo 性别与活跃度字段进一步优化电商定向？

Activating data on Zalo is just the first step. Combining gender and activity fields can greatly improve marketing accuracy:

• Beauty and skin care product e-commerce: It is recommended to filter “Zalo activated + female + active in the past 7 days” to target the female group who are most likely to purchase.
• Men’s Products Category: Filter for “men + active in the past 30 days” to avoid reaching users who are not often online.
• Local life services: Can be combined with number segments (such as specific city area codes), and then superimposed with activity levels to target potential consumers.

It should be noted that Zalo gender recognition is based on public data analysis and is not 100% accurate (similar to face recognition accuracy, but far lower than ID card-level accuracy). Please use the gender field as a reference dimension, not the sole basis for decision-making.

Data deduplication and balance management: avoid wasting the cost of repeated detection of the same number

As the team continues to screen numbers, it is likely that the same number will be tested repeatedly in different batches.为避免二次扣费，KK-DATA 内置了 数据去重仓库 功能：

• Cross-task automatic comparison: When you import a new number list, the platform will automatically eliminate numbers that have been detected in the past and only charge new numbers.
• Applicable scenarios: It is especially recommended to enable deduplication when filtering numbers multiple times (such as adding targets in batches) and when multiple people in a team share accounts.
• Note: Deduplication only applies to historical data within the same account. Different accounts will not be deduplicated across accounts.

Three common misunderstandings when e-commerce companies use Zalo to activate data

The following three errors in practice are typical and can easily turn investment in screen numbers into waste:

1. Misunderstanding: Thinking that activation data = active data Correction: Activation only means that the number has been registered with Zalo, but it does not mean that the user has been online recently. If you do not add activity filtering, you may send messages to “zombie accounts” that have not logged in for half a year, and the response rate will still be very low. It is recommended to select active windows based on marketing timeliness.

2. Misunderstanding: Importing too many non-target groups at once triggers platform risk control Correction: Even if you are all registered Zalo users, adding a large number of strangers in a short period of time may be restricted by the platform. It is recommended to control the number of friends you add every day and use a normal profile picture and verification phrase.

3. Misunderstanding: Relying only on the number and not combining the gender/region fields Correction: Since the gender and active fields have been checked when filtering, you should make full use of them after exporting the results. Many teams only export the activation number but ignore this additional information, resulting in a discount on the cost of screening numbers. It is recommended to split the list according to portraits and use different subdivisions for different activities.

FAQ

**Q: After activating data testing on Zalo, how long will it take to get the results? ** Answer: The task processing speed depends on the number of numbers and the current load of the platform, and is generally completed within a few minutes to a few hours. You will be notified via Telegram when completed (notification settings need to be turned on).

**Q: How to calculate the cost of activating data detection on Zalo? ** Answer: Fees are deducted based on the number of tests, and each number tested counts as one. The unit prices for different test types (only enabled vs enabled + active + gender) are different. For the specific unit price, please check the real-time price of the console. The official website has Billing Instructions.

**Q: I already have tens of thousands of Vietnamese numbers, how can I tell which of them are opened by Zalo? ** Answer: You can create a Zalo number screening task on KK-DATA, upload your number list, and check the “Zalo activation” test item. The results will mark the activation status of each number and support CSV/TXT export.

**Q: Can Zalo activation data be used to add friends/groups? Will my account be banned? ** Answer: Using activation data can avoid adding empty accounts and reduce invalid requests, but whether you can add them successfully depends on your operation frequency and account health. It is recommended to control the number of daily additions, use real avatars and profiles, and abide by Zalo platform rules.

**Q: The e-commerce team wants to target female Zalo users in Ho Chi Minh City. Can KK-DATA achieve this? ** Answer: Yes. In the screening task, in addition to enabling detection, you can also select the “Zalo Gender” (identifying male/female) field. However, please note that gender identification is based on public data analysis and is not 100% accurate and is recommended as a reference. Currently, direct filtering by city is not supported. You can use number segments or prepare a list of numbers divided into regions to assist.

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Zalo activation data is the infrastructure for Vietnamese e-commerce companies to acquire customers overseas. From number generation to screen number deduplication to result implementation, choosing a reliable screening platform can save a lot of manpower and money. KK-DATA provides a complete pipeline from source to terminal: free number generation → multi-field filter number → deduplication and balance protection → flexible export.

🔥 Try it now:

👉Log in to the console to start screening numbers 👉 Two-way contact customer service https://t.me/kkdata_robot 👉 View the complete document https://docs.kkdata.cc/