How to do hot and cold detection on multi-platform social accounts? Digital Planet solves screening problems in one stop

Whether it is WhatsApp, Telegram, LINE, Instagram, Facebook or Zalo, although the activity standards of different platforms are not completely consistent, the essence of identifying account popularity is: whether it is still in real use, whether there is interactive behavior, and whether there is marketing conversion value. So, how to specifically detect the hotness and coldness of multi-platform social accounts? This article will break it down one by one.

In today's marketing environment of cross-platform traffic and private domain accumulation, one of the biggest challenges faced by enterprises is: how to accurately select account users who are highly active, authentic, effective, and of interactive value from the huge social account library? rely only on"Registration status" or "country affiliation" have long been unable to meet the needs of refined operations, and "hot and cold status detection" is becoming one of the core indicators for judging the marketing value of social accounts.

Whether it isWhatsApp, Telegram, LINE, Instagram, Facebook or Zalo, although the activity standards of different platforms are not completely consistent, the essence of identifying account popularity is:Whether it is still in real use, whether there is interactive behavior, and whether there is marketing conversion value. So, how to specifically detect the hotness and coldness of multi-platform social accounts? This article will break it down one by one.

 

The necessity of identifying hot and cold accounts

In traditional mass messaging or private domain diversion logic, many teams only focus on“Whether the number is registered” ignores an important reality——Although cold accounts can receive messages, they hardly read, reply, or convert messages.. Hot accounts not only have a willingness to respond, but also have certain referral potential.

Especially in the following scenarios, hot and cold detection must be carried out in advance:

lWhen cross-border e-commerce launches private domain operations, it is necessary to avoid an excessively high proportion of cold accounts in the initial screening of fans;

lBefore advertising is launched, it is necessary to optimize the targeted audience and increase the interaction rate;

lIn private domain hierarchical operations, cooling-off period users and active users need to be treated differently;

lWhen deploying multi-channel messaging for SaaS products or AI systems, "expired" accounts will be screened out first.

 

Common platform logic for hot and cold status detection

Different social platforms have different judgment dimensions for account popularity, but the core indicators are generally the same:

lWhatsApp: Recent online status, chat history update frequency, double-tick receipt, and account call-availability status;

lTelegram:Latest online time tag (such as"Last 7 days", "One month ago"), whether you can join the group, whether you can receive messages;

lLINE: Friend addition success rate, whether the message has been read, account avatar/Signature update frequency;

lFacebook: Like and comment behavior, content update frequency, whether the account displays a real avatar and dating network;

lInstagram:Dynamic andReels publishing frequency, like/comment behavior, and Story activity;

lZalo: Whether you are actively posting, recent login time, whether you have joined a group for interaction, etc.

Identifying this information requires not only technical collection capabilities, but also professional models to conduct behavior analysis.Activity scoring and risk judgment.

 

How to build a hot and cold scoring model?

Really effective hot and cold detection is not just about looking at"Online time" is so simple, but based onMultidimensional data construction scoring system, generally including the following key indicators:

1.Login frequency and time points:recentActivity records within 7 days, 30 days, and 90 days.

2.Content update frequency:dynamic,Whether stories, videos, etc. are continuously output.

3.interactive behavior data: Whether to actively initiate conversations, like, comment, join groups, and view information.

4.Message feedback status: Whether a read receipt appears, whether a message is replied to, and whether the user has been blocked.

5.Completeness of basic account information: Whether the avatar, signature, and binding methods are complete.

6.system behavior characteristics: Whether to run the simulator, log in for abnormal devices, and register in batches.

After the weights of different dimensions are assigned, the hot and cold scores can be calculated, and filtering rules can be set according to business needs (such as retaining onlyAccounts with a score of 70 or above) to achieve batch cleaning and selection.

 

Why is manual detection inefficient?

For ordinary users or enterprises, if they rely on manual judgment to determine the hot or cold status of their accounts, they often face the following problems:

lThe platform has many restrictions and the volume of single queries is extremely small;

lSystem data cannot be called, and much behavioral information cannot be obtained;

lThe operation process is cumbersome and it is easy to miss key accounts;

lAccount formats across multiple platforms are inconsistent and processing logic is different;

lManual annotation cannot be continuously updated and cannot form a dynamic database.

This requires the intervention of professional automation tool platforms to provide one-stop, multi-platform detection capabilities.

 

Hot and cold detection solutions provided by Digital Planet

digital planet, as a platform focusing on global social account detection and screening, it has launched hot and cold account detection services for multiple platforms, covering current mainstream marketing scenarios and social channels.

Its advantages are mainly reflected in the following aspects:

Multi-platform adaptation, supporting mainstream social ecology

Whether it isWhatsApp, Telegram, LINE, Instagram, Facebook, Zalo, and Digital Planet have all implemented the detection logic customization and model adaptation of account popularity status, truly achieving thisOne-stop, multi-channel, unified testing process.

Support batch upload and automatically identify structures

Users can upload thousands of mobile phone numbers or account identifiers at one time, and the system automatically identifies the format, country affiliation, and platform adaptation, eliminating the need for manual classification. Greatly reduce the difficulty of data sorting and screening.

Hot and cold scoring models are adjustable to meet different business needs

The platform provides default"Hot and cold scoring model" also supports customized scoring logic (such as paying more attention to interactive behavior or login frequency) to achieveFlexible filtering and high-precision matching.

High detection efficiency and fast feedback speed

Thanks to high-performance engines and distributed task scheduling, Digital Planet detects aA 100,000-level account pool can be completed in just a few minutes, which is suitable for real-time screening scenarios of large amounts of data.

 

Self-service operating system, results can be exported

No technical deployment or manual customer service assistance is required. Users can complete the upload, detection, viewing and export processes in the system background, and the entire process is transparent and traceable.

Whether you are doing cross-border social media advertising, building a private domain account pool, or want to clean up invalid clues, Digital Planet can help you complete it.Hot and cold detection of multi-platform social accounts, effectively avoiding the waste of marketing budget and promoting efficient conversion and operation.

Log in to Digital Planet now to experience global account detection capabilities and use data to drive your private domain growth logic.

 

digital planetis 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 filteringwait.

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/xingqiuproGet more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966

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