Bulk identification of WhatsApp number attributes, supporting

DoingDo you also feel this way when you are overseas WhatsApp projects: "I have sorted out a bunch of mobile phone numbers, but once I imported them, they are all from unknown countries, empty numbers, and even if I registered WhatsApp."

This is not your problem, it is from the information age"normal". There are more than 200 countries and regions around the world, and the number format, area code, and activity status are different. It is no longer realistic to rely on human eyes to identify and manually judge. Especially when you face thousands of number data, when you open Excel again and again, looking at the mobile phone numbers starting with "+91", "+62", and "+233", there is only one sentence left in your mind: "Which country is this from?"

Today, let’s talk about the most basic but most overlooked thing:

How to batch identificationWhatsApp number belongs to, and can it support more than 200 regions around the world?

 

Why is it identified"Number Attribution" is so important?

After all, doWhatsApp is the ultimate concern for you:

1.Is this numberValid user?

2.Which country does it come from/area,Can it meet your target market?

If you can't even figure out the number's location, you will fall into these dilemmas:

lMarket analysis cannot be done: Which country has more active users? There is no clue at all.

lThere is no way to start with private domain traffic: a cold start is pulledThere were 5,000 people, and as a result, a bunch of South American users were brought in to Southeast Asia.

lMarketing materials cannot be adapted: language is wrong, time is wrong, users are not buying it.

So, identifying the place of origin is notThe details of "icing on the cake" are the first foundation of the entire data screening process.

 

Manual identification? Too inefficient!

You may have tried theseThe "looks workable" approach:

lUse the national area code to judge:+91 is India, +60 is Malaysia...

lThrow inExcel does regular splitting and matches country code.

lGoogle for the location of each number segment.

It sounds reliable, but the problem is:

lManual identificationFormat in more than 200 countries? Do it once and you will know what physical work is.

lOnce the number has been cleaned (e.g. removed+ sign, space added), the format is confused, and the recognition is directly invalid.

lSome countries share the same area code, such as the British and British overseas territories, which cannot be distinguished at all.

What you want isHigh accuracy, fast batch size, standard resultsThe solution is not a list of numbers that have been dragged until the early morning.

 

How can we quickly and accurately identify the location in batches?

At this time, one-stop batch testing tools come in handy.

Taking our commonly used [Digital Planet] as an example, it supports uploading any number of mobile phone numbers (no problem if there is a few thousand or tens of thousands), and the system will automatically recognize:

lCountry Attribution (Supports Globally200+ countries)

lOperator information (optional)

lRegister or notWhatsApp

lWhether it is online or active

You don't have to write a line of code, nor do you have to check the area code table. Just upload the number and complete the detection with one click.

 

How to achieve batch recognition of digital planets?

If you haven't used this tool, just briefly talk about the process (it's really simple):

1.Log in to the [Digital Planet] platform (register for free)

2.Upload your number file (supportedTXT, CSV format)

3.Select the content you want to identify (such as the country's place of origin+ Registration status)

4.Click"Start detection"

5.Download the result file in a few minutes, and the country's ownership information is clear at a glance

Each number will automatically correspond to the country name, for example:

l+60 → Malaysia

l+63 → Philippines

l+62 → Indonesia

l+44 → United Kingdom

Moreover, the detected results can be grouped and exported by country and active status, which is particularly suitable for:

lRefined delivery: Different countries use different speeches

lChannel data verification: determine whether the data provided by the agent is true and valid

lSubsequent operation grouping: tag users in different countries and classify management

 

Who is the best for use"Attribution Identification" function?

Not only do e-commerce deployment and education traffic diversion operations, the following roles are also particularly needed:

lData purchaser: Determine whether the purchased mobile phone number meets the target area

lMarketing service provider: Provide customers with designated countriesWhatsApp Marketing Services

lSales on overseas: Accurate national judgments are indispensable for group recruitment, private domain building, and mass sending information.

lAnti-fraud compliance team: Verify whether the number source is legal and compliant

 

The most thoughtful thing is that you can get started even if you don’t understand the technology.

Digital Planet does not require you to understand the technical background or deploy the system. The entire recognition process is completed online:

lThe page is simple and easy to understand

lFast detection speed

lReports can be exported clearly

Especially for use scenarios where time is tight and tasks are urgent, such as customers urgently need one"List of active account lists of Latin American countries", you can complete it in just a few minutes.

Digital planet, supporting the world200+ national numbers batch inspection, no code required and registration is a reliable tool behind every overseas trader. Register now and try some functions for free. You may wish to upload your existing number list to try it out. The recognition effect is clear at a glance.


Digital Planet It is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions   . It supports global customers   Bulk numbers from 236 countries   Filtering and testing services   , currently supported   More than 40 social and apps, such as:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, Binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Byb wait.

The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filtering wait.

Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode , to meet the needs of different users.

Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

You can use the official channelt.me/xingqiupro   Get more information and verify the identity of business personnel through the official website. Official Business   telegram:   @xq9 6 6

(Warm reminder: You must identify the user name when searching for the official customer service number on Telegram   xq966   ), you can also verify through the official website:   https://www.xingqiu.pro/check.html   , confirm whether the business you are in contact with is a planet official

 


数҈字҈星҈球҈͏
Telegram开通筛选、活跃筛选、互动筛选、性别筛选、头像筛选、年龄筛选、在线筛选、精准筛选、时长筛选、开机筛选、空号筛选、手机设备筛选
为全球客户提供支持全球236个国家的精准号码批量的筛选检测
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