existIn the iOS ecosystem, the "blue mark" means that the user has enabled the iMessage service, which usually means that the device is a real Apple machine, the account has been activated, and the communication channel is stable. However, in reality, even if the test result shows a blue mark status,Message sending may still fail. This is what we often say——The problem of blue label reachability rate.

Many teams that do social registration, customer notification, account verification, and private domain traffic drainage will ask: How to judge the blue label reachability test? What do you think of the test results? Which numbers are blue marked but actually cannot receive calls? This article will start from actual combat and analyze the underlying logic, misjudgment traps, judgment methods and feasible screening solutions of the blue label reachability rate.

1. What is the blue label reachability rate?

The blue label reachability rate refers to theAmong the numbers in “blue mark status”,can actually be receivedProportion of iMessage messages. This is an extremely critical but easily overlooked indicator that directly affects:

lCan the registration verification code be delivered?

lWhether customer service notifications can be seen by users

lWhether private domain messages are converted

lIs the push channel valid?

therefore,Blue label accessible ≠ Blue mark activation. A truly high-quality blue label account should haveThe dual conditions of "status activation + actual reachability".

2. Why does the blue label status change?"Looks normal but can't post it"?

Common causesThe situations of "false blue label" or "unreachable blue label" include the following:

1.Number binding expired

User has usediMessage was activated on the iPhone, but later the phone was changed or the iMessage activation status was not updated in time, and the system still misjudged it as a blue mark.

2.Network unreachable

The user's current device is not connected to the Internet, is in airplane mode, and is not connected.Wi-Fi or mobile data, causing the server to fail to respond.

3.iMessage was manually closed by the user

User closediMessage service, but due to caching or response delay, it is still recognized as blue label for a short period of time.

4.Virtual card segment or temporary number

Some one-time registration machines use temporary number bindingiMessage will be logged out after a while, but the platform cache information is not updated.

5.Banned or abnormal account

The iCloud account has been banned by Apple or entered an abnormal state. The iMessage activation status is abnormal but the detection interface still returns "Activated".

3. What key dimensions need to be judged for blue label reachability detection?

To truly determine whether a blue-labeled user is reachable, the following information needs to be integrated:

1.Server response status

Whether to return in real time"Activated and online" rather than "Buffering" or "Unknown status".

2.historical behavior accessibility

Whether it has been successfully received in a certain period of time in the pastiMessage content (can be confirmed via internal test messages).

3.Discriminability of user’s current network status

existsAdditional tags such as "The device is online" and "The network is unblocked".

4.Secondary verification test

The system can send blue label numbers"Implicit verification request" checks whether the "information delivery" simulation process can be successfully completed.

5.Device activity

Is the blue label status device close?It will be online within 7 days and whether it will be bound to the real device model.

Comprehensive cross-analysis of the above dimensions can truly determine which blue label numbers are"Effectively reachable", which are only "surface blue marks".

4. How does the Digital Planet platform detect the blue label reachability rate?

Digital planet platform in regularBased on iOS blue label recognition,Provide further reachability detection function, which can be achieved:

lDetermine whether the number is“iMessage is available in real time”

ltag may existBlue-labeled accounts with the risk of "receipt failure"

lOutput labels such as: blue label reachable/Blue mark unreachable/Abnormal status/Re-inspection required

lSupport batch detection and structured result export

lIntegrate with private domain push platform, registration channel and customer service system

The detection process is as follows:

1.Import mobile phone number list

2.The system initiates activation status and reachability verification to Apple servers in batches

3.Return test results and attainable score

4.Users filter high-quality blue-label numbers based on ratings for subsequent actions

5. How to use the blue label reachability results?

● Screening before registration system verification entrance

Filter out blue-marked unreachable numbers to avoid registration failure due to undeliverable verification codes.

● Customer notification priority stratification

Blue label reachable numbers will be sent firstiMessage messages, and use text messages or emails for the rest.

● Accurate distribution of marketing content

Only send information about new products, new offers, and new services to Gouda users to save budget and increase conversions.

● User value assessment modeling

Blue labeled reachable users usually represent real devices+Real usage behavior, suitable for building high-value user portraits.

6. Real case reference: a Southeast Asian social registration platform

The platform requires batch registration every dayThere are 50,000 iOS accounts. In the early stage, conventional blue label identification tools were used to screen the number pool and it was found that:

lAlthough the blue label numbers were screened out, the delivery rate of the registration verification code was only58%

lA large number of customer service notifications were rejected, the system showed unread, and delivery was seriously delayed.

lUser complaints about registration failures and message delays continue to grow

After accessing the Digital Planet blue label reachability test:

lEliminate those with an attainable score lower thanBlue number with 60 points (accounting for 22%)

lSet the automatic detection refresh cycle, everyThe blue label reachability status is updated every 12 hours.

lRegistration verification code delivery rate increased to92%, customer service response delay reduced by 70%

lThe overall registration stability of the system and user satisfaction have been simultaneously improved.

The blue mark does not mean that it is definitely reachable, onlyThe blue label number of "activated + real-time online + behavioral health" is truly a high-quality resource worth investing in registration, push, and binding.

Digital Planet blue label reachability detection system helps youIn iOS user screening, accurately identify which numbers can really be "reached". Improve the registration success rate, communication success rate and platform risk control capabilities from the source, so that your system no longer blindly "trusts the blue label", but uses every high-quality user scientifically.

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