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In the daily process of batch operation, cross-border traffic drainage and private domain establishment of social platforms, the most troublesome thing is not"Insufficient resources", but "unclear resource quality". Especially when faced with a group of mobile phone numbers or social accounts, we often can only judge:Is this number registered? Can I add it? Can you send it?
But these basic judgments are far from enough. What really affects marketing effectiveness and private domain conversion capabilities is another key variable——Account behavior status.
Is an account worth operating? Is conversion possible? Is there response potential? The answers to these questions are hidden in the past usage behavior of the account. It is precisely because of this thatAccount behavior status analysisIt has become one of the basic tools for screening accounts in the private domain, and is built around behavioral trajectories.Cold account screening logic, is becoming an essential capability for efficient cross-platform operations.
This article will combine actual operational questions to explain in detail the principles of account behavior status analysis, the application logic of cold account screening, supported platforms and detection methods, and combinedigital planet platformAPI interface combination capability, showing how to build a complete screening link from behavior analysis to policy execution.
Why is account behavior analysis more critical than registration status?
Traditional account detection methods mostly focus onIn the dimension of "whether to register", for example, the Telegram status detection API interface or the WhatsApp status detection API interface can be used to determine whether the number has opened a social account.
However, in real operating scenarios, relying solely on"Register" does not represent this account:
lIs anyone using it?
lHave you had any recent interactions?
lIs there a real behavioral trajectory?
lIs it possible to respond to private messages, group chats, etc.?
Registering a large number of accounts is just"Data corpses" are inactive, non-responsive, non-transforming, and can even easily trigger risk control. Therefore, it is necessary to further identify the behavior behind the accounts, especially the "cold accounts" among them.
what is"Cold account"? What are the typical characteristics?
"Cold account" does not mean "unregistered account", it refers to:
lNo recent obvious behavior record:likeNot logged into social platforms within 30 days
lNot online for a long time:likeTelegram shows "Online one month ago"
lNever participated in a conversation or viewed content
lAccount information has not been updated for a long time: For example, the avatar and nickname remain in their initial state.
lThere is no interactive behavior such as clicking, forwarding, viewing, etc.
In actual delivery, even if such accounts can receive information, there will be almost no conversion behavior. Even because the platform judged it asWith "silent accounts", group sending actions are also more likely to be restricted, blocked, or judged as "low-quality communication" by the algorithm.
What is the core basis for cold account screening logic?
In order to screen out these inefficient resources from the source, Digital Planet has constructed a complete cold account behavior analysis logic, which is mainly identified from the following dimensions:
1. Judgment of recent active time
Is thereThere have been operations such as logging in, reading, opening, and interacting within 3 days, 7 days, and 30 days. Accounts that have not been online for more than 30 days will be directly marked as cold account candidates.
2. Depth of operating behavior
Whether there are behaviors such as opening conversation boxes, group reading, clicking links, forwarding content, etc. If it is only a one-time registration without subsequent operations, it is also classified as a cold account.
3. Multi-platform status comparison
If the account is registeredWhatsApp, Telegram, and Facebook do not have any behavior records, which means that they are in a "dormant state" in the entire social ecosystem.
4. Behavioral frequency and fluctuations
Even if you have logged in occasionally recently, if the behavior is extremely sparse (such as opening the page only once), the system will still judge it as"Low activity cold account".
how to passAPI interface to determine user behavior status in batches?
Digital Planet supports viaBatch identification of behavioral status in the form of API, and combined with the social platform registration status identification interface to implement a complete screening process:
lInput format:Mobile phone number, userID or social platform identification
lReturn fields: Platform status, recent active time, behavior category, cold account judgment results
lSupport platform:Telegram (via Telegram status detection API interface), WhatsApp (via WhatsApp status detection API interface), LINE, Facebook, etc.
lSupport mode: Single detection, scheduled detection, batch task calling, multi-platform combination logic distribution
Users can import number lists through background tools, or automatically invoke behavior judgment logic during user registration, import, group creation, group sending and other processes through system integration.
After cold accounts are identified, how should the operating strategy be adjusted?
After identifying the cold account, it does not mean that you must give up, but that you should enterhierarchical processing mechanism, common practices are as follows:
1. Pause high-frequency contact
Avoid including cold accounts in high-frequency push and mass sending plans to prevent accounts from being complained and the failure rate of mass sending increasing.
2. Enter the thermal insulation content channel
You can set low-frequency content, such as automatically pushing a warm wake-up message regularly to try to reactivate its behavior.
3. Join the observation pool
Set the long-term cold account as a secondary group and do not delete it for now. Regularly review whether there are any changes in behavior (such as login, information update).
4. Eliminate invalid resources
When an account is detected as cold account status for several consecutive times, the system can automatically remove it from the delivery list or transfer it to an alternative strategy channel.
What other value can account behavior status analysis bring?
In addition to cold account screening, behavioral analysis logic can also be used for:
lHigh quality user identification: Screen out users with high-frequency behavior as priority targets for activities
lContent preference modeling: Combined with behavioral data to determine the type of content that users pay attention to
lGroup management optimization: Clean up silent accounts in the community and improve the overall activity of the group
lOperational rhythm control: Dynamically adjust the frequency and time of private messages based on user behavior cycles
These data can be output through the interface and platform behavior analysis function of Digital Planet, providing practical and usable decision-making basis for operational actions.
Conclusion: The value of an account is not in registration, but in behavior
Whether an account is worthy of your investment in operating resources, the most important basis for judgment is not whether it is registered or exists, butIs it still available and is it possible to respond.
Through account behavior status analysis, filter outOnly by filtering out accounts that are “worthy of posting” and numbers that are “destined to be silent” can you achieve higher conversions, faster responses, and less waste within a limited budget.
With the help of Digital Planet's behavior recognition capabilities and cold account screening logic, from today on, every placement, every message, and every contact has the possibility of being seen, responded to, and converted.
digital planet is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions . It supports customers worldwide Batch numbers for 236 countries Screening and testing services , currently supports 40+ social and apps like:
The platform has several features includingOpen 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 providesSelf-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 business telegram: @xq966
(Warm reminder: When searching for the official customer service number on Telegram, be sure to look for the username. xq966 ), you can also verify it through the official website personnel: https://www.xingqiu.pro/check.html , confirm whether the business contacting you is a planet official
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