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Multi-dimensional data screening is becoming the core tool for refined operation of social platforms. Especially in judging the online status of users, multi-dimensional data screening provides a set of more traditional ones."Register/Unregistered" has a more in-depth and dynamic judgment system. Many teams doing WhatsApp, Telegram, Line and even Facebook Messenger marketing realize that it is far from enough to know whether the user has an account or when to register.Only master"Is this person here now?" and "has it been online recently" to truly improve the message reach rate and conversion efficiency.
The immediacy of social platforms determinesThe importance of "time window" - no matter how good your content is, if the other party doesn't see it or only see it for a long time, the conversion rate will be greatly reduced. Therefore, accurately judging the online status of users through multi-dimensional data screening has become an indispensable part of marketing, customer service, and automated operations.
Why"Online status" is a more critical indicator than "registration status"?
The registration status can only indicate this number"Existence", but does not mean it is "active" or "reachable". Especially in many markets such as the Middle East and Southeast Asia, although many mobile phone numbers have registered WhatsApp or Telegram, they have not been online for a long time, their equipment has been replaced, and even account has been deactivated.
The online status is different, which directly reflects whether the user is still using this account and whether he is still in the information receiving channel. For private domain traffic,For operators of WhatsApp customer service and Telegram community management, whether or not they are online often determines the success or failure of one delivery or one communication.
For example:
lWhatsApp is sent in a mass group, and the click rate is 3 times higher than that of users who have not been launched for 7 days.
lIn Facebook Messenger mass bot, only by judging that the user is online can the intelligent conversation be correctly started
lIn Telegram, if the members are offline for a long time, the group interaction rate will drop rapidly.
In social platformsWhat are the manifestations of "online status"?
The online status fields of different platforms perform differently, but they can all filter out high-value users through data:
WhatsApp:
lshow"Last seen" is the last time it was launched
lSupport detection"Online or not" (depending on privacy settings)
lYou can use third-party tools to regularly grab online records and label them as active
Telegram:
lsupply"Last seen recently / within a week / within a month" and other interval tags
lBot can detect whether the user responds to the command and reversely determine whether it is active.
lSupports indirect evaluation of read unread states
Line:
lDetermine whether to participate in the chat, whether to click on the link, whether to send interactive expressions
lThe mass information system can identify whether the message has been delivered and whether it has been read.
Facebook Messenger:
lsupply"Active Now" tag
lCan be set"Push on the Online" logic to avoid disturbing inactive users
lpassAPI reads user active cycles, dynamic group marketing
How to judge multi-dimensional data filtering"High value online user"?
Determining whether a user is online is actually just the first step, and the real value lies inCombining other dimensions for cross-analysis,turn upUsers who are "online but worth interacting".
The following is a typical multi-dimensional combination filtering logic:
lOnline time: NearlyOnline at least 2 times within 7 days
lActivity tag: Joined a group, sent a message, or participated in an interaction
lRegistration time: no less than30 days (excluding the number abandoned just after registration)
lDevice type: Mobile users are preferred (excludingAPI or emulator)
Through this combination, you can build a more valuable user pool for priority access to customer service, precise delivery, community maintenance, etc.
Actual scenario case sharing: How online status filtering is applied to marketing and operations
Case 1:WhatsApp customer service system access optimization
A team doing Southeast Asian e-commerce found that the customer service system always sent no response. Subsequently introduced through the Digital Planet PlatformThe "Online Status Filter" module only pushes customer service access within 10 minutes after the user goes online. As a result, the customer service response rate increased from the original 9% to 27%, and the account closure rate dropped significantly.
Case 2:Telegram group member wake-up mechanism
certainThe NFT community manages multiple delivery groups on Telegram, and its activity continues to decline. The operation team uses online status screening and prioritizes the push of airdrop messages to members who have "onlined in the past 3 days + participated in topic interaction", which triggers secondary fission and increases group activity by more than 4 times.
Case Three:Facebook Page robot delivery efficiency improves
A project to do educational traffic diversion in the Eastern European market, throughFacebook Messenger builds an automated question and answer system. Originally, I sent messages to all users every day, and the feedback rate was extremely low. By grouping online statuses, only sending "currently online + interactive messages" to users, the reach effect has been greatly improved and the reply rate has been increased by 190%.
Case 4:Line friends layered operation
Japanese beauty brands areLine has accumulated tens of thousands of fans, but its activity is extremely low. Through multi-dimensional data screening, the operators only sent new product trial activities to the user group that "online + sent messages in the past 7 days", with the page click rate exceeding 43%, far higher than the original 6%.
What can users after filtering?
Users who are online are not for you"Send mass messages in a nutshell", but let you:
lSet timed message push: sent when the user is active, without interference or blocking
lEstablish a priority access mechanism for customer service: whoever is active will access first, and improve user satisfaction
lImplement a wake-up strategy: Set up a one-time push to rebuild contact for users who have not been online for a long time but have just been online for a while.
lOptimize content format: For example, active users prefer formats such as videos, pictures or short texts, and achieve content matching through device and status matching strategies.
These are allThe combined application of "online status + other dimensions" is much more valuable than simple full mass sending.
The online status will also change. How to keep the data in real time?
Many people will ask: If you are online today, you may not be online tomorrow. How to deal with it?
This is exactly what multi-dimensional data filtering needs to be coordinatedReason for the "period update" logic.
for example:
lEveryRefresh user online data once every 7 days, dynamically update active tags
lReal-time filtering before each message is sent"Current online" user, automatically filter cold numbers
lSystem settings failure reminder, for more thanUsers who have not been online for 30 days will be subject to cold marking
The Digital Planet Platform supports custom cycle filtering, automatic marking of user status, and connects data with external mass sending systems to realizeIntelligent processing method of "active is push, and inactive is excluded".
Summarize the core ideas of online status filtering:
1.Is the user online ≠ Whether the user is valuable, but highly overlapping
2.Online status needs to be judged in combination with other dimensions, such as active records, registration time, device type, etc.
3.Multi-dimensional data filtering allows you to no longer operate based on your feelings, but speak with your data.
4.By regularly updating online data, keep user portraits alive and improve the hit rate and interaction rate of each marketing
Become a digital planet nowVIP users enjoy full-process services such as multi-dimensional data filtering, online status recognition, behavioral portrait synchronization, batch user status refresh, etc., help you grasp every online moment of the user and achieve accurate information access and efficient interaction.
Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:
The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.
Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.
Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
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