iMessage valid number batch detection tutorial: How to use KK-DATA to quickly filter blue numbers and active device numbers

In overseas marketing, iMessage valid number is the core resource that determines the opening rate of iOS customer acquisition. After many teams imported a large number of mobile phone numbers, they found that a large number of numbers were not subscribed to iMessage (shown as green numbers), resulting in a low success rate for mass sending, being flagged by Apple’s risk control, and even wasting valuable sending quota. This tutorial will fully demonstrate how to batch detect valid iMessage numbers (blue numbers, active device numbers) through the KK-DATA platform, and provide a directly implementable operation process and result interpretation method.

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What is a valid iMessage number? Why does overseas marketing require advance testing?

iMessage valid numbers usually include two categories:

• iMessage enabled number (blue number): This number is registered with the iMessage service, can send blue bubble messages through the iMessage protocol, uses the data channel instead of traditional text messages, has low sending cost and supports rich media.
• Active iOS device users: Not only have iMessage activated, but also have recent usage records, which is suitable for scenarios with high timeliness requirements such as event notifications and new additions.

If the number database is not pre-checked, sending it directly will cause three consequences:

1. High sending failure rate: A large number of green accounts (who have not subscribed to iMessage) have to use the SMS channel, resulting in increased costs and low conversions.
2. Affects account health: Apple may mark accounts that frequently send to invalid numbers as risk accounts, resulting in a reduction in sending quotas or even bans.
3. Ambiguous data value: There are a large number of records of “correct number but not subscribed to iMessage” in the existing data, which reduces the efficiency of data decision-making.

Confirming iMessage valid numbers through the number screening platform in advance is equivalent to locking in the highest value iOS user group at the lowest cost. KK-DATA’s iMessage detection module is designed for this purpose and supports batch and multi-dimensional verification.

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What do I need to prepare before detecting a valid iMessage number?

Number source preparation: global number generation and CSV import

There are two common paths for the source of numbers to be detected:

Path 1: Global Number Generation

1. Enter the “Global Number Generation” module in KK-DATA Console.
2. Select the target country/region (supports 240+ countries), you can choose a number range or randomly generate it.
3. The generated results are free and can be directly stored in the task list for subsequent screening.

Path 2: Import custom number segments

• Upload an existing number file in CSV format (column name: country_code, number).
• The system automatically parses and prompts the number of valid numbers, and supports deduplication detection.

Platform account preparation: recharge balance and binding TG notification

KK-DATA adopts the balance billing model. There is no subscription package. You pay for what you use.

Recharge Process

1. Log in to the console → enter the “Recharge” page.
2. Use USDT (TRC20) to deposit, the minimum is about 50 USDT.
3. The balance will be automatically updated after the account is received, and you can start submitting tasks.

Bind Telegram notifications (recommended)

• Link your Telegram account in the “Notification Settings” of the console (bind via @kkdata_robot).
• After the screening task is completed, the robot will actively push a summary of the results, no need to stay in front of the computer.

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How to use KK-DATA to batch detect valid iMessage numbers? (4-step guide)

Step 1: Create a screening task and select the “iMessage Detection” type

1. Click “New Screening Task” in the console.
2. Select iOS / iMessage for platform type.
3. Optional detection types:
   • Activation detection: Determine whether the number is registered for iMessage (i.e. whether it is a blue number).
   • Activity Detection: Based on activation, determine whether the number has usage records within a certain time window.
   • iOS device detection: Identifies whether the device bound to the number has iOS characteristics (can be used to filter some simulators or forwarding numbers).

After completing the selection, click “Next”.

Step 2: Upload/paste the number and confirm the billing estimate

• Supports pasting numbers directly (one per line) or uploading CSV/TXT files.
• System automatically detects:
  • Number quantity (duplicated).
  • Estimated deduction amount (based on the real-time price of the console).
• Click “Submit Task” after confirming that it is correct.

A maximum of about 1 million numbers can be submitted in a single task.

Step 3: Wait for the task to complete and receive Telegram notification

• After submission, the task enters the queue. The actual detection speed depends on the total number of numbers and the platform load.
• Method 1: Close the page and wait for Telegram notification.
• Method 2: Check the real-time progress bar in the “Task List” of the console.

Step 4: Export filtering results (CSV/TXT)

• After the task status changes to “Completed”, enter the task details page.
• The results are divided into two sets of files:
  • Valid Numbers: Contains a list of numbers that have subscribed to iMessage.
  • Invalid Number: A number that has not been activated or cannot be confirmed.
• Export format supports CSV and TXT, fields include:
  • Number, detection results (activated/not activated), activity level (if detection is selected), timestamp, iOS device identification, etc.

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Interpretation of iMessage detection results: Which numbers are considered “valid”?

The difference between blue number and green number

Type	Color identification	Meaning	Applicable scenarios
Blue number	Blue bubble	Apple device users who have activated iMessage	iMessage group sending, rich media message push
Green account	Green bubble	Traditional SMS users who have not subscribed to iMessage	Only SMS channel, high cost

The number whose “activation status” is Yes in the test results is the blue number, which is the iMessage valid number you most want to get.

The role of the activity field

Just “activating” does not mean that the user is still using it. For event notifications, limited-time promotions and other scenarios, it is recommended to export numbers that satisfy both “activation + activity”:

• Activity field: Displays the user’s last active time window (such as “last 7 days” and “last 30 days”).
• In actual marketing, the open rate of active users is usually 30% to 50% higher than that of inactive users.

In addition, some detection results will have an iOS device model/system version field, which can be used for targeted delivery (such as reaching only iOS 16+ users).

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3 typical uses of iMessage screening results in overseas customer acquisition

Usage 1: Cross-platform collaborative marketing

Submit the same number to iMessage detection and Telegram filter number or WhatsApp filter number at the same time, export the results and take the intersection - get Active users who have activated iMessage and Telegram at the same time, or High-value users who have activated both iMessage and WhatsApp at the same time. This type of user has many channels for receiving information and has a strong willingness to convert.

Usage 2: Clean existing weak data

Many teams have accumulated a large number of overseas mobile phone numbers that were “previously purchased through crawlers or purchased”, and 30% to 70% of these data are often invalid or green numbers. To perform iMessage detection on existing data, you can:

• Discard invalid numbers directly to save subsequent sending costs.
• Mark valid blue numbers as “high priority” and allocate sending resources first.

Usage 3: Support precise activities for iOS high-net-worth users

Targeting regions with high iOS market shares such as Europe, America, Japan and South Korea, iMessage active blue accounts are selected for new feature internal testing invitations, App PUSH cooperation, seasonal promotions, etc. Since these users were confirmed to be high-frequency iOS users, campaign participation rates increased significantly.

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Collaborative strategy of iMessage sifting and WhatsApp sifting

iMessage detection focuses on the iOS ecosystem, while WhatsApp screening covers global general communication scenarios (especially in Southeast Asia and Latin America markets). The two complement each other:

Dimensions	iMessage Detection	WhatsApp Screener
Main markets	Regions with high iOS penetration such as Europe, America, Japan and South Korea	Southeast Asia, India, Brazil, South America and other WhatsApp-dominated markets
Core Purpose	Blue Number Sending	WA Marketing and Community Operations
Activity rate judgment	Based on iMessage usage records	Based on WhatsApp online status/last active time

Recommended combination:

1. First generate 1 million US/Japanese numbers.
2. Submit iMessage detection (activated + active) and WhatsApp detection (activated + active) at the same time.
3. Filter the results separately after exporting:
   • Pure iOS high-value users → iMessage channel.
   • Pure WhatsApp users → WA tool push.
   • Dual-open users → Multi-touch points across cross-channels.

Through a single “Generate → Screen Number → Export” process, refined data preparation for multiple platforms and multiple groups of people can be completed, greatly improving customer acquisition efficiency.

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FAQ

Question: Can iMessage valid number detection be 100% accurate in determining whether the other party is using an Apple device?

Answer: It is not completely equivalent to “Apple device activation status”, but it can accurately determine whether the number has subscribed to iMessage service. Turning on iMessage usually means that the user owns an Apple device and has iMessage turned on. In actual operation, a very small number of non-iOS devices enable iMessage forwarding, but this does not affect its use in mainstream scenarios.

Question: What is the difference between “activated”, “active” and “iOS device” when detecting iMessage?

Answer: “Activation detection” determines whether the number is registered for iMessage (whether it is a blue number). “Activity Detection” further determines whether the number has sent/received records using iMessage within a certain time window. “iOS device” refers to detecting whether the device bound to the number meets the Apple device characteristics (can be used to filter simulator users in some scenarios). The specific fields are subject to the console export results.

Question: Do I need a paid subscription to use KK-DATA to detect valid iMessage numbers?

Answer: No. KK-DATA adopts a balance-based billing model and does not have a subscription package. First, recharge USDT to your account balance. After submitting the detection task, the fee will be automatically deducted. You can pay as much as you use. For the specific price of each test, please refer to the estimated cost displayed on the console when submitting the task.

Question: If the submitted numbers are less than 5,000, how long will the test take?

A: iMessage detection speed depends on task volume and current platform load. A small number (less than 5,000) is usually completed within minutes. The page can be closed after submission. You will be notified via Telegram when the task is completed.

Question: Can the valid number exported after detection be used directly to send iMessage ads?

Answer: What is exported is the tested number file, which you can use for subsequent marketing. But please note: sending iMessages in batches should comply with Apple’s anti-spam policy and local laws. It is recommended to use compliant sending tools and set a reasonable sending frequency and time window to avoid account restrictions due to high-frequency sending.

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The above is the complete tutorial on batch detection of valid iMessage numbers. You can freely combine iMessage with multi-platform filters such as WhatsApp and Telegram to build a high-value overseas user database based on your own data size and target market.

👉Log in to the console to start filtering Two-way contact customer service: https://t.me/kkdata_robot For complete operation details, please refer to KK-DATA usage documentation