What are the methods to batch filter high-risk mobile phone numbers?

With the accelerated development of cross-border communications, social media operations and global private domain construction, enterprises are increasingly relying onWhatsApp, Telegram, LINE, Facebook and other channels to reach and convert. But many teams overlook a key step before global launch——Batch cleaning of high-risk mobile phone numbers, ultimately leading to SMS delivery failure, account registration being rejected, messages being marked as harassment, and even entire batches of accounts being permanently blocked by the platform’s risk control system.

In fact, in the global communication environment,High risk mobile phone numberIt is quietly becoming the account survival rate and deliveryThe "hidden killer" of ROI. Not only do such numbers fail to produce conversions, they may also cause serious consequences, such as account credit scores being reduced, communication permissions being restricted, and the entire system being marked as a source of spam content.

This article will focus on"How to filter high-risk mobile phone numbers in batches", combined with front-line practical experience and platform tool application, provides a detailed analysis of cleaning methods, key processes and why it is necessary to use professional platforms such asdigital planetTo achieve intelligent and efficient risk control.

what is"High-risk mobile phone number"? Why is it necessary to clean?

The so-called high-risk mobile phone numbers refer to those used on social platforms, text message channels or account registration scenarios.Identified as a potential threat by the systemnumber. This type of number has the following typical characteristics:

1. Being reported, blocked, and complained many times

Such numbers belong to"Complaint-activated" users have actively triggered reporting actions many times and have been included in watch lists by multiple platforms or delivery systems.

2. The registration failure rate is extremely high

When registering social accounts for most high-risk numbers, it is easy for the registration to fail due to interception by the risk control system.

3. Numbers generated by virtual operators or code receiving platforms

Such numbers often come from unknown sources and have unreal users, which can easily lead to platform censorship or ban.

4. Have participated in account bans

If a number has been used to register multiple banned accounts, it will also be marked as an associated risk source by the platform.

5. Number segments belonging to legally sensitive areas

For example, in certain number segments in countries such as Germany, Singapore, and the United States, user complaints about unauthorized communications are extremely high. Once the platform receives a report, the account will be blocked immediately.

If an enterprise fails to identify such high-risk numbers in advance during social advertising or automated registration, it is very likely that the platform will block them collectively due to abnormal multiple accounts in a short period of time, or even be added to the blacklist, completely losing access to the market.

Common high-risk number filtering methods and their shortcomings

In the absence of professional tools, many teams use some"Traditional means" try to troubleshoot high-risk numbers, including:

lManually remove suspicious number segments

Rely on manual experience to eliminate areas with known frequent complaints. However, this method has extremely small coverage, lags in updates, and can easily injure normal users.

lFilter based on sending failure records

Filter based on the history of numbers that failed to send text messages, emails, etc., but this method is a post-processing and cannot prevent the risk of initial contact.

lImport self-built blacklist comparison

Some teams will manually maintain a database of risk numbers and conduct list comparisons. However, the data is updated slowly, lacks a global dimension, and cannot cope with the frequently changing risk control environment.

Although these methods are helpful to some extent, they all existThe recognition accuracy is low, the execution efficiency is low, the real-time performance is poor, and it is difficult to automate processing.and other problems, it is difficult to support the current rapid growth of cross-border communication services.

Digital Planet: A professional platform for batch identification and filtering of high-risk mobile phone numbers

In order to fundamentally solve the problem of number quality before cross-border communication, Digital Planet has built a set of globalNumber intelligent detection and cleaning system, investigate high-risk numbers from the data source, and effectively reduce the registration failure rate, account ban rate and complaint frequency.

Five core competencies of Digital Planet

1. Global number risk label library

The platform is connected to multiple international social platforms and telecom operators' risk control interfaces, and the risk labels of various numbers are updated in real time, including complaint frequency, registration success rate, platform risk control relevance, etc.

2. Multi-dimensional behavior recognition algorithm

Through cross-modeling from multiple dimensions such as historical sending failure records, account ban correlation analysis, and user activity detection, a risk score is generated for each number.

3. Accurate operator identification engine

identifiableThe operator affiliation information of 230+ countries is specially marked for virtual operators, VOIP numbers, code receiving platform numbers, etc.

4. Support batch import and automatic cleaning

Users only need to upload a list of numbers, and the platform can complete the detection and risk stratification output of millions of data in a short time.

5. API can be integrated to realize real-time judgment in the registration process

Enterprises can use the platformThe API is connected to its own registration system and delivery system to complete real-time quality judgment before users submit their mobile phone numbers.

Practical process of batch filtering of high-risk numbers

In actual operation, companies can use Digital Planet to screen high-risk numbers and only need the following steps:

Step 1: Prepare a list of numbers

Support multi-format file upload (txt, csv, xlsx, etc.), there is no need to organize the format before importing, the system automatically recognizes the country code and number structure.

Step 2: Select detection dimensions

Users can select detection items based on business needs: registration status, complaint risk, risk control label, operator identification, virtual number, etc.

Step 3: Start the detection task

Start batch testing with one click, and the system will complete risk scoring and label extraction at the same time, and generate a complete identification report.

Step 4: Download cleaning results

The result file will be divided intoThere are three categories: "high-risk numbers", "medium-risk numbers" and "recommended numbers", and you can choose to export structured data for subsequent automated operations.

Step 5: Synchronous access registration/delivery process

If automatic cleaning is required, the system providesAPI support, can be connected to SMS system, WhatsApp registration interface, social advertising management platform, etc.

In what scenarios must high-risk numbers be filtered in batches?

Whether it isWhether it is 2B or 2C business, as long as it involves mobile phone number registration, SMS notifications, social message push, user group building, user binding, automated customer service, etc., high-risk number cleaning should be completed in the first step. Especially suitable for the following scenarios:

lSocial account registration system (such asTelegram, WhatsApp, LINE, etc.)

Avoid registration failures and instant blocking of new accounts to ensure account quality

lSMS and voice bulk sending platform

Improve SMS delivery rate and avoid number blacklisting or channel deprivation

lCRM and SCRM platform

Complete number quality verification before establishing a customer pool to reduce later complaints.

lCross-borderDTC brand customer acquisition

Conduct risk identification before importing the potential customer number pool to improve the quality of contact

lNumber distributor and traffic management team

When processing third-party imported data, avoid transmission risks and account bans caused by fake users

Immediately access the Digital Planet global mobile phone number risk identification system and use data intelligence to protect your cross-border communications. Identify problems from the source, ensure stability through mechanisms, and allow numbers to be screened before communicating to truly achieve compliance, safety, and efficient access.

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:

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 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

(Kind tips:existWhen searching for Telegram’s official customer service number, be sure to look for the usernamexq966), you can also verify it through the official website: https://www.xingqiu.pro/check.html , confirm whether the business contact you is a planet official