How to identify mobile phone numbers with frequent complaints in batches? Digital planet screening system actual measurement report

In the practice of global cross-border marketing, social media traffic, and overseas customer service delivery, an extremely difficult problem arises repeatedly -Mobile phone numbers with frequent complaints cannot be effectively screened and eliminated, which seriously affects the delivery results and account security.. This type of number seems to be "normally registered" and "able to communicate", but it is an invisible killer that triggers risk control, reporting, and account bans. Once imported into the system in batches, it will not only waste a lot of resources, but may also cause serious consequences such as account closure, channel deactivation, and brand blacklisting from the platform.

So, can mobile phone numbers with frequent complaints be identified in batches? The answer is yes. This article will combineDigital planet screening systemActual functional performance, from a practical perspective, dismantle how this system helps global operators accurately locate such high-risk numbers.

Why are "complaint-frequent numbers" more dangerous than empty numbers?

In conventional wisdom, companies pay more attention to the cleaning of "empty numbers" and "invalid numbers", believing that these numbers are unreachable and a waste of delivery costs. But from the perspective of platform risk control system,Frequently complained numbersThe harm caused is more direct and hidden, which is specifically reflected in the following aspects:

1. Trigger platform risk control rules

For example, on platforms such as WhatsApp, Telegram, and LINE, when the number of user reports reaches a threshold, the platform will automatically restrict or ban the sender's account, causing the entire account pool to be implicated.

2. The complaint account is inducing behavior

Such numbers often come from "phishing users" or "platform monitoring accounts" who deliberately wait to trigger violation messages and then report them, specifically targeting automated systems to complain.

3. Resulting in a decrease in the credit score of the sending account

Many social platforms and SMS service platforms have account reputation score mechanisms. Once there are too many complaints about sending behavior and the credit score drops, the account will be limited, have its rights reduced, or be directly disabled.

4. Reduce conversion rate and operational indicators

Complaint numbers not only fail to generate conversions, but also cause subsequent data analysis to deviate from real user behavior and interfere with decision-making.

Based on this, “mobile phone numbers with frequent complaints” have become part of the number screening process.Must focus on filteringIt is even more priority than the cleaning of empty and unregistered accounts.

How to identify frequent complaint numbers in batches? There are blind spots in traditional methods

Currently, most teams still rely on the following methods for number screening:

lSend failure record traceback: Count numbers with higher failure rates through the marketing system

lCustomer service background feedback: Manually compile the blacklist after manually summarizing complaint records

lPlatform warning log troubleshooting: Reverse the problematic number segment after the account was restricted due to abnormal sending.

Although these methods can find some problem numbers to some extent, they have serious limitations:

lsevere lag: The problem has occurred and the account has been punished before stepping in to investigate.

lLimited sample: Relies on its own platform feedback data and cannot aggregate complaint labels across platforms

lHigh labor cost: The blacklist database needs to be continuously maintained manually, making it difficult to adapt to high-frequency batch operations.

lCannot be automated: Unable to seamlessly connect with registration, sending, and data systems, limiting efficiency

Therefore, what enterprises really need is a set ofAn automated number identification system that integrates complaint records, multi-dimensional behavior analysis, and real-time update capabilities.

Digital planet screening system: specially designed for batch identification of risk numbers

To solve the problem of screening numbers with frequent complaints, the Digital Planet platform launchedGlobal number quality inspection system, its screening capabilities not only cover the traditional "registration status", "active tags", "operator judgment" and other functions, but also specifically strengthen the "complaint risk identification module". The system has been widely used in many scenarios such as overseas social advertising, SMS service providers, and international customer service SaaS platforms.

The core advantages of Digital Planet

1. Multi-platform complaint label integration

The platform is connected to the risk control feedback mechanisms of social platforms such as WhatsApp, Telegram, and Facebook, and collects behavioral tags such as user reports, system restrictions, and account abnormalities to form a set of dynamically updated "risk number pools."

2. Real-time risk control model scoring system

Each mobile phone number will generate an independent risk score based on historical behavioral data, complaint records, delivery failure history and other dimensions, so that high-risk numbers can be seen at a glance.

3. Support batch import and identification export

Users can upload tens of thousands of number data at one time, and the system will automatically match the complaint frequency, operator, country segment and other attributes of each number, and can export a high-risk list with one click.

4. Differentiate severity and recommended strategies

It not only marks the risk level of the number, but also provides usage suggestions (available/recommended to avoid/high-risk banned sections) to facilitate enterprises to implement hierarchical strategies.

5. Can embed own system API calls

Enterprises can connect this screening service to their own registration system, delivery platform, and customer pool management system to achieve automatic cleaning and dynamic updates.

Actual test case: Comparison of effects before and after cleaning

Before launching Telegram accounts in Brazil, a cross-border digital marketing company used Digital Planet to screen risk numbers and imported a total of 150,000 numbers.

lAfter screening, 28,000 high-risk numbers were eliminated, accounting for approximately 18.6% of the total.

lAmong them, the number of tags with frequent complaints accounted for 65%, mainly concentrated in some virtual operator segments.

lThe subsequent registration success rate increased to 91.3%, an increase of 37% compared with before screening.

lThe account suspension rate dropped by more than 90%, and the subsequent account active period was extended to three times the original length.

lThe overall investment ROI increased by nearly 60%, and the customer service complaint rate was close to zero.

This fully demonstrates that accurate screening of high-risk complaint numbers has become a key part of improving the overall delivery quality.

Applicable scenarios: Who needs to use this system most?

lSocial software account maintenance team: Accurately screen risky accounts before raising accounts to reduce accidental injuries from the platform

lSMS sending service provider: Filter complaint numbers before sending to avoid channel bans

lMarketing automation system developer: Batch registration and delivery system pre-cleaning module

lOverseas SaaS service provider: Dynamically identify risk numbers when binding user mobile phone numbers in the platform

lIndependent website sellers and DTC brands: In the early stage of private domain construction, customers with risk of complaints will be eliminated to protect brand reputation.

anything that involvesMobile phone number placement, registration, message sending, automated contactAll business chains need to be connected to this system for preprocessing.

Try the Digital Planet global screening system now to experience more accurate complaint number identification and more efficient batch cleaning logic, making every communication delivery more stable, safer and more valuable.

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