Operators may change after number portability. T-Mobile detection makes SMS marketing matching more accurate

When doing SMS marketing in the United States, many people will judge the operator based on the mobile phone number prefix. The number looks like it belongs toFor T-Mobile, send directly according to the T-Mobile line; if the number prefix shows other operators, put it into another sending channel.

This method is more convenient when processing a small number of numbers, but when faced with a larger number of numbers with different origin times, the accuracy may not be enough. U.S. users can change operators while retaining their original mobile phone numbers. Which operator the number was originally assigned does not mean that the operator is still providing services.

Therefore, it is not safe to just check the number prefix before sending the text message. via digital planetT-Mobile number detection can further check the current operator status of the number, making line selection and packet sending more accurate.

Number prefixes can only reflect initial allocation information

The area code and number segment of U.S. mobile phone numbers can provide certain regions and initial operator references, but they are not real-time labels that will never change.

For example, a number may be started byT-Mobile assigns the number, and the user later transfers the number to another carrier. The number itself has not changed. The old number range data may still label it as T-Mobile, but the current service provider has changed.

The other situation is just the opposite: the number was first assigned by another operator, and then the number was ported.T-Mobile. If you still judge according to the original number segment table, this T-Mobile user will be classified into the wrong operator group.

This is also one of the reasons why some SMS marketing tasks seem to have no problem with the number format, but the sending results are unstable. The problem may not be that the number is written incorrectly, but that the carrier information is out of date.

digital planetT-Mobile detection is suitable after number format sorting and basic validity check to check whether the target number is related to T-Mobile. Compared with relying solely on the number segment table, this method is more suitable for handling operator changes after number portability.

Make sure the number is worth sending first

Carrier detection is not the first step in SMS marketing. If there are blank numbers, format errors, duplicate numbers, or data that does not comply with national area code rules in the original number, query directly.T-Mobile status still wastes detection resources.

Before starting the detection, you can complete the following processing:

lUnify U.S. country codes and number formats;

lDelete duplicate numbers;

lExclude data with obviously wrong digits;

lCheck whether the number is empty or expired;

lTreat landline phone numbers, virtual numbers and mobile numbers separately;

lClean up numbers that have unsubscribed or explicitly refused to receive messages.

After completing the basic cleaning, use Digital Planet toT-Mobile number detection, the resulting grouping is more suitable for sending text messages.

It is important to note that the number belongs toT-Mobile does not mean that the number must be in normal use; the number can be used normally, nor does it mean that the user agrees to receive marketing text messages. Number validity, current operator and contact authorization are three different pieces of information and cannot be substituted for each other.

The current operator will affect the sending line matching

SMS service providers usually match different lines based on the target country, number type, operator and sending scenario. Inaccurate operator identification may lead to unreasonable line selection, inaccurate delivery cost estimates, and even unnecessary failure of delivery tasks.

After digital planet detection, the number can be divided intoT-Mobile related numbers, other operator numbers, and numbers that need further verification are then handed over to the corresponding sending channels.

This approach can mainly solve three types of problems.

The first category is line mismatch. For numbers that have been ported out, if they still follow theT-Mobile line processing may not achieve the expected sending effect.

The second category is cost statistical deviation. The billing and delivery rules of different lines may be different, and the operator's inaccurate classification will affect the cost estimate before delivery.

The third category is result analysis distortion. If the grouping itself is inaccurate, even if the reach rate, click rate and reply rate are subsequently calculated, it will be difficult to determine which type of number performs better.

The value of T-Mobile's detection is not to put all numbers on the same line, but to make the number grouping closer to the current real state.

Marketing grouping can’t just look atT-Mobile Tags

Target number detected andRelated to T-Mobile, it can only show the matching results in the operator dimension, but cannot directly prove that the holder is interested in a certain product.

if allT-Mobile numbers are considered high-intention objects, and the marketing scope will still be too large. A more practical approach is to combine Digital Planet's T-Mobile detection results with legally obtained business information.

For example, some numbers come from consultation forms actively submitted by users, and they explicitly agree to receive follow-up information; some numbers belong to historical registered users, but have not interacted with them for a long time; and some numbers are detected as belonging toT-Mobile, without clear data source and contact permission.

These three types of numbers should not be treated in the same way.

Numbers with clear authorization and recent consultation behavior can prioritize text messages related to their needs; numbers with authorization but no interaction for a long time should reduce the frequency of sending and test whether the content is still valuable first; numbers with unclear sources or without contact permission should not just rely onT-Mobile tests results directly for marketing.

Operator detection is responsible for improving line matching accuracy, and user authorization and business behavior are responsible for determining whether to contact and what content to send.

Old data needs to be re-tested by operators

The detection frequency should not be exactly the same for newly collected numbers and historical numbers that have been used for many years.

The longer the historical data is used, the higher the possibility that the number status will change. In addition to number portability, numbers may also be suspended, deregistered, reassigned, or the number type changes. Test results from a few months ago cannot be regarded as fixed conclusions for a long time.

If there are many US numbers accumulated in the marketing system, different recheck rules can be established based on usage time:

Newly submitted and authorized numbers can be tested before being sent for the first time; numbers that have not been reached for more than a certain period of time can be rechecked before reactivation; numbers that fail to be sent or have no feedback continuously should recheck the number status and operator; numbers in long-term marketing tasks also need to regularly update the detection time.

Digital Planet can be used for batch processingT-Mobile number detection. After the test is completed, it is best to retain the test date to avoid subsequent personnel only seeing the "T-Mobile" label but not knowing when the result was generated.

A more practical setT-Mobile SMS Marketing Process

In actual execution, it can be processed in the following order.

First, sort out the U.S. number format, unify country codes, and delete duplicate and obviously wrong numbers. Then check the empty number, number validity and number type to exclude data that is not suitable for further sending.

After the basic cleaning is completed, submit the qualified numbers to Digital Planet forT-Mobile number detection or carrier identification. Establish different sending groups based on the detection results and match them with the lines supported by the SMS service provider.

Next, check the data source and contact permissions. Only when legal authorization is obtained and the content of the text message complies with relevant regulations and platform rules can the formal sending process be entered.

It is not appropriate to directly cover all numbers when sending for the first time. You can choose a small amount firstTest with T-Mobile numbers to observe delivery, unsubscription, complaints and conversions before deciding whether to expand the scope. If there are many sending failures during the test, you should recheck the number status, operator results, line configuration and text message content instead of simply increasing the number of sending times.

After the sending is completed, the failed number, unsubscription number and valid interaction number are recorded separately. The next time you market, you don’t need to start over from the original data, and you can avoid repeated contact with unsubscribed numbers.

T-Mobile detection solves the problem of accurate matching, not marketing intention

Operator information is the basic data in SMS marketing, but it is not equal to user portrait, nor can it represent spending power, income level or purchase intention.

via digital planetT-Mobile detection can reduce operator misjudgments caused by number portability and help senders more accurately select lines, establish number groups and collect statistics on sending performance. What it solves is "Which type of operator is this number currently more suitable for processing", not "Whether this person will definitely buy it".

Validate the number,T-Mobile detection, sending lines and contact authorization are handled separately, and the SMS marketing process will be clearer. The group of people who need to be sent is more accurate, and numbers that should no longer be used can be eliminated in advance, so that subsequent analysis will not be interfered by wrong operator labels.

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