Global number ownership query, batch query of countries, regions and number ownership information
I have a batch of mobile phone numbers in different countries such as the United States, the United Kingdom, France, Thailand, Japan, and Indonesia. If I only look at the number itself, it is difficult to quickly determine which market each piece of data belongs to. When the amount of data is small, area codes can still be checked manually. However, after tens of thousands or hundreds of thousands of items are mixed together, manual sorting will be very slow.
The global number attribution query mainly solves this kind of problem: first sort out the international numbers according to country, region, area code and basic operator information, and then decide what to do next.WhatsApp screening, Telegram detection, LINE user classification or other customer processing.
Number attribution query is suitable for basic number identification, rather than directly finding out the user's name, address, ID card and other personal information through a mobile phone number. First sort out the basic fields that can be judged, and the subsequent overseas number screening will be easier to do.
Look at the country code at first glance
The easiest way to identify an international number is the country code.
Different countries use different international dialing codes. For example, the United States and Canada mainly use+1, the UK uses +44, France uses +33, Japan uses +81, and Thailand uses +66.
When there are many data sources, you often encounter several situations:
Some numbers already have full country codes;
Some only save local mobile phone numbers;
Some tables have an additional country field;
There are also some data country fields and number and area codes that do not match.
Therefore, the first step in global number ownership inquiry is usually to confirm the country.
A batch of overseas numbers that were originally mixed together can at least be sorted into different markets such as American numbers, British numbers, French numbers, Southeast Asian numbers, and Japanese numbers.
This way they won't all be mixed together when sales are allocating customers later.
After confirming the country, look at the number area
Some markets can continue to determine more detailed regional information based on number rules.
For example, there is a correspondence between the telephone number area code and the region in some countries, and the number format can help organize the approximate area.
This kind of information is more practical for local businesses.
If you do local service, regional sales, offline installation and other business in the United States, the state or region where the customer is located may directly affect whether you can provide services.
If we do nationwide cross-border e-commerce, the importance of regions will be lower, and national information will be more important.
Therefore, number attribution query does not require all fields to be used.
If the product requires a region, keep the region field.
If we only focus on the national market, we must first clearly distinguish the countries.
The data fields will ultimately serve subsequent customer development.
What is the use of operator information?
Some number ownership inquiries will also focus on operators.
For example, in a batch of US numbers, numbers of different mobile operators can be further sorted; other countries can also continue to be classified according to local operator information.
Operator information is not necessarily the most important in ordinary sales scenarios, but it can be more useful in communication services, SMS services, number quality testing, and mobile device-related products.
if just doWhen WhatsApp acquires customers overseas, sales usually don’t have to pay special attention to which operator the customer uses.
But if the business itself andFor SIM cards, communication lines, SMS delivery, and mobile networks, the operator label is worth retaining.
It’s still the same principle: keep the fields related to the business. It doesn’t matter and there is no need to forcibly add them just to make the data look rich.
Global number ownership query cannot directly tell you who the customer is
This point needs to be made clear.
Number ownership can help determine basic information such as country, region, operator, number format, etc., but it cannot directly obtain the user's complete personal identity just by entering a mobile phone number.
Name, address, age, occupation, and income are not information that can be obtained freely through ordinary number ownership inquiries.
If the company's own customer information already has names, industries, companies, and product interests, these existing fields and number attribution results can be merged.
For example, the original piece of data only has:
Phone number
Product consultation record
After sorting, you can add:
Country: United States
Region: target market
Number status: sorted
Source: official website inquiry
Follow products:A product
This kind of data is more convenient to use than a single string of numbers.
Batch query saves a lot of time than manually checking area codes
If there are only a few dozen numbers, manually checking the country is not a big problem.
if there isThere are 50,000 and 100,000 international numbers. It is almost unnecessary to look at the area code one by one.
The biggest advantage of batch processing is unified rules.
Import the numbers at one time, first identify the country, unify the format, and then separate the data from different countries.
If you want to screen French customers later, just look for French numbers directly.
If you want to do the Thai market, continue processing from the Thai number group.
Want to develop JapanLINE customers no longer need to search for Japanese data from global numbers.
The larger the amount of data, the easier it is to do attribution classification first.
Digital Planet can then perform subsequent number screening
Global number attribution inquiry is usually only the first level of sorting.
After the countries are divided, many companies will continue to determine which social platforms the numbers have been activated on.
At this time, you can continue processing through Digital Planet.
For example, the original data hasThe 100,000 global numbers are first divided into different batches according to country ownership, such as the United States, France, Germany, Japan, and Thailand, and then filtered on platforms such as WhatsApp, Telegram, and LINE according to business needs.
For example:
US number +WhatsApp has been activated
French number +Telegram has been activated
Japanese number +LINE has been activated
Thailand number +WhatsApp has been activated
In this way, a number no longer only has country information, but also adds communication channel information.
Digital Planet is more suitable to be responsible for number deduplication, country sorting and social platform status screening, and finally combine it with the company's own customer sources, product interests, and historical communication records.
Just because the number is correctly assigned does not mean that the number is definitely worth developing.
Assume that a batch of numbers are all confirmed to belong to the United States.
This only shows that the national market is right.
Among them, there may be customers who actively inquire about prices on the official website, there may also be ordinary registered users, and there may also be historical data that has not been interacted with for a long time.
It would still be too rough to treat them all as precise American customers just because the numbers belong to the United States.
A more reasonable approach is to continue looking at the source.
For inquiries on the United States + official website, the priority can be higher.
US + historical transaction customers can enter old customer maintenance.
For US + general event registration, you can lower the priority first.
The source of US+ is unclear. It is best to confirm the data background before deciding whether to use it.
Number attribution solves market classification and is not responsible for determining purchasing needs.
It is best to fix several fields in a multi-country customer database
If you often do overseas number data, you can fix the customer table.
It doesn't need to be complicated, just keep the fields that are really useful.
For example:
Full international number
nation
area
Operator
Customer source
target platform status
product interest
Last follow-up time
These fields can basically cover most of the number sorting needs.
In the future, when new data comes in, continue to add it in the same format, without the need to re-create a set of tables each time.
Data from different countries can also be placed in the same customer database for unified management.
A smoother global number processing sequence
In actual operation, you can first conduct a global number attribution query to sort out the country and basic number information.
Then unify the international number format.
Then clean up the duplicate data.
Then filter according to business needs through Digital PlanetThe opening status of WhatsApp, Telegram, LINE and other platforms.
Finally, arrange sales follow-up based on customer source, product needs and recent interactions.
The whole process is not complicated, but the order is important.
If the countries are not clear about it, and they just do platform marketing, it will be easy for confusion in language, market and customer allocation later.
The real value of global number attribution query is to first sort out a lot of mixed international numbers into understandable data.First know which country and market the number belongs to, then determine which platform to contact through, and finally decide which customers are worth continuing to develop.
digital planet is a world-leading number screening platform that combines Global mobile phone number segment selection, number generation, deduplication, comparison and other functions . It supports customers worldwideBatch numbers for 236 countriesScreening and testing services , currently supports40+ social and apps like:
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The platform has several features including Open filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filtering wait.
Platform provides Self-screening mode, generation screening mode, fine screening mode and customized mode , to meet the needs of different users.
Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
You can find it on the official channelt.me/xingqiupro Get more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966
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