Practical tips for batch detection of numbers with frequent complaints, applicable to SMS and social account

In the overseas SMS delivery and social account registration scenarios, a neglected but costly problem is increasingly emerging.——Complaint-prone numbers are becoming more disruptive across the board. Companies spend a lot of resources to build registration systems, send text messages, and establish private domain pools. However, due to poor source number quality, accounts are frequently blocked, text messages cannot be delivered, and platform ratings plummet. In serious cases, even platform accounts are blocked.

Especially now that risk control is becoming increasingly stringentOn mainstream platforms such as WhatsApp, Telegram, Facebook, and LINE, the frequency of complaints is becoming the core reference indicator for platforms to restrict communication. To ensure stable communication and smooth account registration,Batch identification and elimination of complaint-prone numbershas become a necessary preliminary step.

This article will focus on the practical level, break down how to use high-precision detection platforms such as Digital Planet to complete batch risk identification, and explain in detail the screening techniques suitable for SMS delivery and social registration.

What is the complaint-prone number? Why is it more dangerous than an empty number?

Many teams still focus their screening efforts on"Empty account detection" or "registration status judgment" ignore the more critical "behavioral risk identification".

The nature of the numbers that cause frequent complaints: behaviorally high-risk numbers. This type of number can not only receive information, but also has past behaviors such as frequent reporting, repeated blocking, and participation in platform risk control incidents.etc. behavior. Specific hazards include:

lRegistration failure rate is extremely high: Once this type of number attempts to register a social account, it is easy to be automatically rejected by the platform system;

lEasily intercepted by surveillance: The platform recognizes that the target number has participated in risk control behaviors in the past, and may directly block the binding operation;

lHigh SMS delivery failure rate: Marked as the recipient of harassment, it may be blocked by the operator or automatically classified as spam text messages;

lAffect the wholeIP or device credit score: If you repeatedly encounter risky numbers during registration or group sending, the sender’s account may be downgraded.

If a number has both a complaint history and a risk label, even if it can register an account, it may be quickly restricted or banned during the account maintenance stage. Therefore, rather than remediating after the fact, it is better to identify it at the source stage.

What are the sources of frequent complaint numbers?

During the batch screening process, the team often imports mobile phone number resources from the following channels:

lPublic channel crawler collection

lThird-party platform purchase number segment

lSocial advertising customer acquisition lead export

lOn the registration page, the user enters their mobile phone number

lThe code receiving platform automatically generates a number pool

These numbers are often mixed with a lot ofRisk number segments that have been marked by the risk control system, without effective filtering, it will directly pollute the entire communication link.

Practical tips for identifying complaint numbers in batches

To achieve large-scale screening while taking into account efficiency and accuracy, it is no longer enough to manually maintain blacklists or rely on historical experience. The following tips are worth practicing:

Tip 1: Enable multi-dimensional risk label detection

You should not only check the registration status of the number, but also pay attention to its behavioral tags on social platforms:

lIs there a record of numerous complaints?

lHas it been marked as a risky account by multiple platforms?

lDoes it belong to the country number range or operator range for high-frequency complaints?

lHave you ever participated in the binding records of banned accounts?

WillThe three-dimensional intersection of "behavior tag + registration status + complaint history" can effectively filter out most potential risks.

Tip 2: Combine operator detection to troubleshoot virtual numbers

Numbers issued by virtual operators and code receiving service providers can receive text messages in form./Register an account, butVery easy to participate in risk control. Identifying carrier affiliation can help identify:

lone-time registration number

lShort-term virtual account

lHigh complaint-intensive section

Filtering these operator numbers can significantly improve the delivery and registration success rate.

Tip 3: Synchronize the complaint history database and local feedback data

Build your ownThe "local complaint feedback library", combined with the risk control data provided by the platform, can repeatedly train the recognition model. For example:

lWhich numbers users flag as malicious

lWhich numbers were blocked shortly after registration?

lWhich numbers received complaints immediately after sending text messages?

Upload this information to the detection platform, and the system will more accurately mark similar numbers in the future.

Tip 4: Hierarchical filtering and label classification

During the screening, it is not recommended to delete all suspected risk numbers across the board, but to proceed according to the risk level."Layered use":

lHigh-risk numbers (it is recommended to eliminate them directly)

lMedium risk account (used to register a test account or simulated environment)

lLow-risk account (can be put into formal channels)

This not only retains a certain sample size for strategy testing, but also minimizes the risk of the main account.

Digital Planet: One-stop number risk screening system

As a service platform focusing on global number detection, Digital Planet hasA mature system solution has been formed in the field of "batch identification of frequent complaint numbers", with the following core capabilities:

1. Support batch import and automatically identify complaint history

supporttxt, csv, xlsx and other formats are imported in batches, and the system will automatically capture the complaint records, account ban history, risk control labels, active tracks and other data of each number.

2. Strong multi-platform data integration capabilities

IntegrateThe risk control data interface of multiple social platforms such as WhatsApp, Telegram, LINE, and Facebook can identify high-frequency reported numbers across platforms in real time.

3. Provide dual reports of risk level + operator information

Each test result includes risk score, risk type, source of complaint and operator information to help users judge whether it is worth using from multiple perspectives.

4. Can be connected to the registration system or SMS sending platform

passThe API method is embedded into the account registration, customer introduction, and SMS delivery platforms to achieve automatic identification and real-time cleaning without manual intervention.

5. Support identifying complaint-intensive areas by country code segment

For example: AmericanThe VOIP number section, India's virtual SIM section, Indonesia's high complaint rate area, and Russia's code access section are all clearly marked.

Applicable to a wide range of scenarios, covering all business scenarios based on mobile phone numbers

Whether your business is engaged inB2C e-commerce, social traffic drainage, AI registration robot, customer service system deployment, or SMS bulk sending, OTP verification, WhatsApp communication,All business chains involving mobile phone number operations need to complete complaint risk identification in advance.

Especially the following scenarios:

lScreen the number before registering a platform account to ensure the account pass rate and survival rate

lThe SMS sending platform eliminates high-complaint numbers before importing numbers in batches

lSocial platforms launch user pools for pre-screening to ensure there is no risk of account suspension after reaching out.

lBefore uploading the user number to the platform, ensure that it does not pollute its own customer pool.

lEstablish a global number database to continuously eliminate high-frequency bands for complaints and reduce maintenance costs.

Use Digital Planet's global number detection system immediately to free yourself from the number of complaints and escort SMS sending, social registration, and communication delivery, so that your account is safe, delivery is stable, and reach is effective, and truly realizes fromImprove the entire process from "resource acquisition" to "result output".

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