How to generate mobile phone numbers from multiple countries and organize number data in batches according to different countries?
When doing international number testing, system joint debugging, and number format verification, we often encounter the need to generate mobile phone numbers from multiple countries. The country area codes and number formats in markets such as the United States, the United Kingdom, France, Germany, Japan, Thailand, and Indonesia are all different. If they are all mixed together in one table, problems such as area code errors, field confusion, and import failures may easily occur.
Multi-country mobile phone number generation is more suitable for solving test data preparation and number format sorting, but it does not mean directly obtaining real customers. Let’s make this clear first, so that subsequent number detection, platform screening and real customer data management will not be mixed together.
Why do numbers from different countries need to be organized separately?
The most obvious difference between international mobile phone numbers is the country code.
Used in the United States+1, the UK uses +44, Japan uses +81, and Thailand uses +66. The length and writing of local mobile phone numbers in different markets are not exactly the same.
If a system handles multiple country numbers simultaneously, it is best to retain the country field from the beginning.
For example, a test form can contain:
nation
country code
Phone number
Full international number
Data usage
In this way, when the number screening system is subsequently imported, you can quickly know which market each batch of data belongs to.
If you only leave a long list of numbers without country information, it will be a lot of trouble to determine where the numbers belong later.
Generating mobile phone numbers from multiple countries is more suitable for testing
The most practical scenario for generating mobile phone numbers is not direct customer marketing, but testing.
For example, if you are developing an international number detection system and need to confirm whether American numbers, French numbers, and Japanese numbers can be recognized normally, you can first prepare test data in different country formats.
When doing the batch import function, you can also use the generated number to check firstAre there any problems with Excel fields, CSV format and import quantity?
If you are ready to connect number detectionAPI, you can also use test data to check the interface call, country identification, return results and export process first.
In this way, many system problems can be eliminated in advance before customer data is actually processed.
The generated number cannot be directly regarded as the real customer number
This is very important.
The number combination generated in accordance with national rules can only show that the format complies with certain rules, but it does not mean that the number actually exists, nor does it mean that there must be someone behind it.
Even if a certain number exists in reality, it does not mean that it belongs to the target customer just because it is generated.
Therefore, multi-country mobile phone number generation and overseas customer data are two different things.
Generated numbers are more suitable for system testing and format verification.
The real customer number should come from normal business channels such as official website inquiry, customer registration, orders, event registration, after-sales service, advertising forms, etc.
If the randomly generated numbers are directly put into the marketing list, not only is the accuracy not guaranteed, but there is also a lack of normal contact background.
When generating batches, it is best to first create independent batches by country.
If you need to test multiple countries at one time, it is not recommended to mix them all into one file.
Batches can be created separately by country.
for example:
A batch of US test numbers
British test number batch
French test number batch
A batch of Japanese test numbers
Thailand test number batch
The country code and production quantity are recorded for each batch.
In this way, when an abnormality in the recognition of a certain country is discovered later, the corresponding data can be quickly found without having to sift through hundreds of thousands of numbers again.
If you need to testFor 20 countries, you can also generate small batch data verification rules first, and then expand the test volume after confirming that there are no problems.
Testing in small batches first is usually less troublesome than generating large amounts of data at once.
After the number is generated, the format must be checked
The completion of the generation does not mean that you can enter the subsequent system immediately.
It's a good idea to check a few basic questions first.
Is the country code correct?
Whether the length of the local number meets the test requirements;
Are there any extra spaces in the complete number?
Has the number field beenExcel automatic conversion;
Are there any duplicate numbers in the same batch of data?
especiallyWhen Excel handles long numbers, the display format is prone to change, so for international numbers, you usually need to pay attention to the field type.
If you need to enter other detection processes later, the more unified the number format is, the easier it will be to process.
It is best to keep test numbers and real customer numbers separately
The data of many teams becomes increasingly chaotic in the later period because test data and real data are mixed together.
A batch of numbers is generated during system development, and the marketing department imports real customer data. When the file is opened a few months later, it is no longer clear which numbers are test numbers and which are real customers.
The easier way is to separate the databases from the beginning.
Test numbers are only used for system debugging, interface verification and format testing.
The real customer number is entered separately into the customer database and the source, country, product interest and follow-up status are retained.
The two types of data have different uses, so it is best not to import each other.
Do this laterDuring WhatsApp number detection, Telegram user screening or LINE activation detection, the test number will not be mistakenly regarded as a customer.
Digital Planet is more suitable for handling subsequent screening of real numbers
Multi-country mobile phone number generation mainly solves testing and number format preparation.
If the company has obtained the real overseas customer number through normal business channels, the subsequent processing method will be different.
You can first unify the international number format and eliminate duplicate data, and then proceed according to business needs through Digital Planet.Filter related to WhatsApp, Telegram, LINE and other platforms.
For example, a batch of real customer data from the United States, France, Thailand, and Japan can be sorted by country first, and then the target social platform activation status can be filtered.
US customers can check based on actual businessWhatsApp, Telegram and other channels;
Japanese customers can combineLINE related filtering;
Other markets are categorized by the communication platforms businesses actually use.
In this way, Digital Planet is responsible for the sorting and platform screening of existing real customer numbers, rather than turning randomly generated numbers into customers.
Don’t mix multi-country number generation and number detection into one thing
Number generation solves the problem of creating data from scratch and mainly serves testing.
Number detection solves the problem of judging the status of existing numbers.
Customer screening addresses which real business data is more worthy of follow-up.
These three links have different purposes.
If you are just doing system testing, you can use the generated number.
If there are already real customer numbers, there is no need to regenerate a batch of numbers before testing. It is more efficient to directly sort out the existing customer data.
If you plan to acquire customers overseas, you should focus more on the source of real customers rather than how many mobile phone numbers are generated.
Actual use can be divided into two processes
The test scenario can be handled like this:
Select country → Generate test number → Check international number format → Remove duplicates → Import system test → Check results.
Real customer data goes through another process:
Customers retain funds normally → Organize countries and numbers → Remove duplicates → Filter on Digital Planet platform → Classify by customer source and needs → Sales follow-up.
After the two processes are separated, many problems will be much simpler.
The people who make the system know what the test data is, and sales will not get randomly generated numbers, and the data quality of the customer database will be more stable.
The real solution to generating multi-country mobile phone numbers is data preparation
When you need to test different markets such as the United States, Europe, Southeast Asia, and Japan, it is really convenient to generate mobile phone numbers from multiple countries. You can quickly prepare data in different country formats to check whether the system can properly recognize and process international numbers.
But generation is just the beginning and should not be confused with real customer acquisition.
Customer data that is actually used in sales should still have a clear source, and then complete number deduplication, platform screening and customer classification.
Generating mobile phone numbers from multiple countries is suitable for testing. For real overseas customer acquisition, customer numbers from proven sources should be used. By managing test data and customer data separately, subsequent number detection and platform screening will be clearer.
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