Full analysis of data detection export fields: What data can be used for downstream marketing based on KK-DATA filter results?

When going overseas to acquire customers, getting a batch of mobile phone numbers is just the starting point. The real value lies in the operable fields you extract from the number after data detection - is it simply “activated/unactivated”, or can you further know “activity”, “gender”, “age range” and “platform-specific ID”? These fields directly determine your subsequent mass sending efficiency, ad targeting accuracy and CRM label quality.

This article dismantles the typical field meanings, typical application scenarios and common misunderstandings exported by Data Detection of each KK-DATA platform to help you convert the screening results into actual ROI.

What is the data detection export field—what can you get after the filter task?

KK-DATA’s number screening function is essentially a batch data detection service: you submit a list of mobile phone numbers, and the platform returns the status and attributes of each number based on the selected platform and detection type. When exporting, each column in the CSV/TXT file you get is a field.

Fields are generally divided into three broad categories:

• Basic status: whether the platform is open (registered/activated) and valid (unblocked/available). This is included on all platforms.
• Activity: How often the number has been online or interacted with in the past period. Telegram supports customizable activity windows (such as 7 days, 30 days), and other platforms (such as WhatsApp, Zalo) also provide activity judgment.
• User attributes: gender, age (estimated), avatar, nickname, etc. Telegram, Line, Zalo and other platforms support gender recognition; Telegram also outputs an age field, which can be used to interpret people “about 30 years old”.
• Platform-specific ID: Telegram’s tgid, WhatsApp’s wsid, Line and Zalo’s uid, etc. These IDs can be used for lower-level API operations (such as Telegram robot precise push).

Note: The specific fields change dynamically with the detection type and platform, based on the column name when exported by the console. The examples below are based on common detection types, but do not mean that all fields appear in any task.

Core results of data detection: activation, activity, gender and platform ID

Field categories	Typical field examples	Description
Activation status	tg开通 wa开通 line有效	1/0 or yes/no, indicating that the number is registered/activated on the platform
Activity	tg活跃 wa活跃 zalo活跃	1/0, or a string (such as active_7d), reflecting recent activity
Gender/Age	tg性别 tg年龄 line性别	Gender (male/female/unknown); age is an inferred value, used to filter “about 30 years old”
Platform ID	tgid wsid uid	Unique numeric ID, can be used for API operations or deduplication, tagging

Why field descriptions are critical to downstream marketing

• Gender field → Targeted push of male/female products, such as male skin care products, female maternal and infant products.
• Active field → Select numbers within the active window to be sent first to improve reach and conversion rates; inactive numbers can be used as a loss recall pool.
• Platform ID → Combine with the corresponding platform API to achieve accurate message push, avoiding relying solely on mobile phone numbers (mobile phone numbers may be changed).
• Age field → Filter users of a specific age group, such as TikTok merchant promotions targeting 25-35 year olds.

Detailed explanation of Telegram data detection fields and typical application scenarios

Telegram is one of the main platforms for overseas customer acquisition. KK-DATA’s Telegram filter supports the following common fields:

• tg activation: Whether the number is registered with Telegram. Unactivated numbers can be deleted directly.
• tg active: Whether the user’s last active time is within the specified window (such as 7 days, 30 days). You can configure the window yourself to meet different marketing rhythms.
• tg Gender: Gender inferred based on public data (male/female/unknown). Note not 100% accurate, but can be used for coarse screening.
• tg age: The age field is the model inferred value, not ID card level accuracy. For example, the output 25 indicates that the model estimates that the age is approximately 25 years. You can use it to filter for people “about 30 years old” (such as numbers between 25-35 years old).
• tgid: Telegram user’s unique numeric ID. After exporting the tgid, you can use the Telegram Bot API to send customized messages, manage groups, and even automate group recruitment. This is one of the most useful fields.

Detailed explanation of WhatsApp / Line / Zalo / iOS data detection fields

WhatsApp export fields: open, active and gender

WhatsApp’s data detection core fields:

• wa activated: Whether the number is registered with WhatsApp. This is the first screening.
• wa active (some detection types): recent online or interactive status, usually expressed as 1/0.
• wa Gender (partial detection type): Infer gender. Fields may be returned as male/female/unknown.
• wsid: WhatsApp user ID, can be used for certain API integrations (subject to compliance).

Typical usage: For activated and active numbers, push different words according to gender. For example, men promote e-cigarettes and women promote beauty products.

Line / Zalo export fields: uid and gender targeting

Line and Zalo are extremely important in the Southeast Asian (especially Vietnam) market.

• line activation / zalo activation: whether the number is registered with Line/Zalo.
• line valid: whether it is a usable account (not banned).
• line gender / zalo gender: Infer gender. Line supports male targeting and is suitable for men to promote products.
• uid: User unique ID for Line or Zalo platform. You can combine uid with Line’s official API to achieve precise message push or add friends.

For the Zalo screen number, there is also a typical active field zalo active, which can determine whether the user has been online recently.

iOS / iMessage and RCS field descriptions

• iOS Detection: Determine whether the number is associated with iCloud/Apple device (blue number detection), usually returns iOS (with device) or null value.
• iMessage Valid: Whether the number can receive messages via iMessage. Export fields are iMessage有效 (yes/no).
• RCS detection: Android platform rich media communication service, which determines whether the number supports RCS and can be used for RCS marketing.

These fields are mainly for Apple and Android users to reach scenarios. For example, only send iMessage ads to valid iMessage numbers to avoid invalid sending.

How to use data detection export fields to build a downstream marketing pipeline

From number generation to final export, a typical data detection pipeline is as follows:

1. Generate numbers: Use KK-DATA’s global number generation function (randomly generated or number segment generated in 240+ countries/regions), or upload your own number CSV.
2. Select detection type and platform: Select Telegram, WhatsApp, Line, etc. according to the target market, and check the required detection items (activation + activity + gender, etc.).
3. Submit screening task: receive a notification after the task is completed.
4. Export results: Download CSV/TXT and view each column of fields.
5. Data processing:
   • Deduplication: Use KK-DATA’s data deduplication warehouse to avoid repeated detection of the same number.
   • Grouping: divided into “high activity pool” and “low activity pool” according to activity level; divided into “male pool” and “female pool” according to gender.
   • Labeling: label according to age range (18-24, 25-35, 35+).
   • Import into CRM or advertising platform: Import the grouped list into Facebook Ads Custom Audience, Google Customer Matching, Email Marketing System, etc.
6. Execution Marketing: Design words and channels for different groups of people.

Common field misunderstandings and precautions when exporting data

• Age field is not accurate for ID card: The age field of KK-DATA is calculated based on the model and is for marketing reference only. You can use it to filter for “about 30 years old,” but it’s not recommended for age authentication.
• Gender field may be empty: Some numbers are not obvious due to privacy settings or characteristics, and the gender field returns unknown. The proportion of such numbers is usually large (about 20%-40%) and needs to be handled reasonably.
• Activity window needs to be interpreted correctly: For example, Telegram’s active window can be set to 7 days, but the returned active field only means that there is activity within this window, and does not mean that the user is still using it frequently. It is recommended to select the window based on the product cycle.
• Field coverage is subject to the console: Different detection packages may contain different fields. You can view the field list in the task preview before submitting the task.
• Export format: CSV files are encoded in UTF-8 by default. Some Excel files will be garbled when opened. It is recommended to use Notepad or VS Code to save as UTF-8 with BOM.

How to efficiently complete data detection and export available fields

The operation process is very simple:

1. Log in to KK-DATA Console
2. Import numbers (supports CSV/TXT, or use the number generator)
3. Select the detection platform and detection type (activated, active, gender, etc.)
4. Confirm the estimated cost (billed by item, no subscription package, cannot be submitted if the balance is insufficient)
5. Submit the task and wait for completion (it takes about a few to ten minutes for larger tasks)
6. Click “Export” in the task history and select CSV or TXT format

Once completed, you can take the field table and perform downstream actions.

FAQ

**Q: After the data detection is exported, can I see the age of each number? ** Answer: There will be an age field only on platforms that support gender and age detection (such as Telegram). This field is calculated through the model and has an imprecise value, which can be used to filter people “about 30 years old”.

**Q: What is the use of the exported tgid field? ** Answer: tgid is the unique digital ID of Telegram users, which can be used in the Telegram robot API for precise message push or group management to avoid relying solely on mobile phone numbers.

**Q: Are the unit prices for data detection on different platforms the same? ** Answer: The unit prices for each platform (Telegram, WhatsApp, Line, etc.) and different detection types (activated, active, gender) are different. Please check the real-time price of the console for details.

**Q: Why do some numbers in the export fields appear empty? ** Answer: An empty field usually means that the number has failed the corresponding test (such as not activated, not active), or the gender/age test of the platform has failed. It is a normal phenomenon.

**Q: Can the data detection results be exported multiple times for the same task? ** A: Completed tasks can be exported multiple times in the console history without repeated payment.

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After reading the above, you should have a clear understanding of the value of the fields available in Data Detection. You can now log in to the console and experience the complete generation → detection → export process for yourself, and feel the improvement in marketing efficiency brought by fields.

👉Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot The official website https://kkdata.cc/ and documentation https://docs.kkdata.cc/ also provide detailed field definitions and usage tutorials.