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Multi-dimensional data filtering is becoming a core tool for refined operations of social platforms. Especially in terms of judging users’ online status, multi-dimensional data filtering provides a set of tools that are better than traditional ones.A more in-depth and dynamic judgment system for "registered/unregistered". Many teams doing marketing for WhatsApp, Telegram, Line and even Facebook Messenger have realized that it is not enough to just know whether the user has an account and when they registered.Only master"Is this person here now?" "Has he been online recently?" can 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 sees it after a long time, the conversion rate will be greatly reduced. Therefore, accurately judging users' online status through multi-dimensional data screening has become an indispensable part of marketing, customer service, and automated operations.
WhyIs "online status" a more critical metric than "registration status"?
The registration status can only indicate this number"Exists," but that doesn't mean it's "active" or "accessible." Especially in markets such as the Middle East and Southeast Asia, many mobile phone numbers have been registered with WhatsApp or Telegram, but have not been online for a long time, their devices have been changed long ago, and they even have deactivated accounts.
The online status is different. It 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 you are online or not” often determines the success or failure of a delivery or communication.
For example:
lIn a WhatsApp group message, the click-through rate is three times higher when sent to users who have just gone online than to users who have not been online for 7 days.
lIn the Facebook Messenger group messaging bot, smart conversations can only be started correctly if it determines that the user is online.
lIn Telegram, if 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 online time
lSupport detection"Online or not" (depends on privacy settings)
lThird-party tools can be used to regularly capture online records and label them active
Telegram:
lsupplyInterval tags such as “Last seen recently / within a week / within a month”
lBot can detect whether the user responds to instructions and reversely determines whether the user is active.
lSupports indirect evaluation of read and unread status
Line:
lDetermine whether to participate in a chat, click on a link, or send an interactive emoticon
lThe mass messaging system can identify whether the message has been delivered and read
Facebook Messenger:
lsupply"Active Now" tag
lCan be set"Push when online" logic to avoid disturbing inactive users
lpassAPI reads user active cycle, dynamic group marketing
How to judge multi-dimensional data screening“High-value online users”?
Determining whether the user is online is actually only the first step. The real value lies inCombine with other dimensions for cross analysis,turn upUsers who are "online but worthy of interaction".
The following is a typical multi-dimensional combination filtering logic:
lOnline time: NearOnline at least 2 times within 7 days
lActivity label: Joined a group, sent a message, or participated in an interaction
lRegistration time: no less than30 days (excluding account abandonment immediately after registration)
lDevice type: Mobile phone users are preferred (excludedAPI or emulator)
Through this combination, you can build a more valuable user pool for customer service priority access, precise delivery, community maintenance, etc.
Actual scenario case sharing: How to apply online presence screening to marketing and operations
Case 1:Access optimization of WhatsApp customer service system
A team working on e-commerce in Southeast Asia found that the customer service system always sent messages but no one responded. Later introduced through the digital planet platformThe "online status filtering" module only pushes customer service access messages 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 suspension rate dropped significantly.
Case 2:Telegram group member wake-up mechanism
certainThe NFT community manages multiple distribution groups on Telegram, and its activity continues to decline. The operation team uses online status screening to prioritize airdrop messages to members who have been "online in the past 3 days + participated in topic interactions", triggering a second fission and increasing group activity by more than 4 times.
Case three:Facebook Page robot delivery efficiency improved
A project to promote education in the Eastern European market, throughFacebook Messenger builds an automated question and answer system. Originally, mass messages were sent to all users every day, but the response rate was extremely low. By grouping the online status and sending the message in groups only to users who are "currently online + have interacted with and left messages", the reach effect is greatly improved, and the response rate is increased by 190%.
Case four:Line friends layered operation
Japanese beauty brands inLine has accumulated tens of thousands of fans, but its activity is extremely low. Through multi-dimensional data screening, the operation staff only sent new product trial activities to the user group who had "been online + sent messages in the past 7 days". The page click rate exceeded 43%, which was much higher than the original 6%.
What can filtered users do?
Users who control their online status are not meant to make you"Sending messages in one group" allows you to:
lSet up scheduled message push: sent when the user is active, without interference or being blocked
lEstablish a customer service priority access mechanism: whoever is active will access first to improve user satisfaction
lImplement a wake-up strategy: For users who have not been online for a long time but have recently come online, set up a one-time push to re-establish contact.
lOptimize content formats: For example, active users prefer formats such as videos, pictures, or short texts. Through device and status matching strategies, content fine-tuning can be achieved.
These areThe combined application of "online status + other dimensions" is much more valuable than simple mass sending.
The online status will also change. How to keep the data real-time?
Many people will ask: What is online today may not be online tomorrow. How to deal with it?
This is exactly what multi-dimensional data filtering needs to doThe reason for the "periodic update" logic.
for example:
lEveryUser online data is refreshed once every 7 days, and active tags are dynamically updated.
lFilter each message in real time before sending it"Currently online" users automatically filter cold numbers
lThe system sets an invalid reminder forUsers who have not been online for 30 days will be marked as cold account
The Digital Planet platform supports custom cycle screening, automatic marking of user status, and connects data with external mass sending systems to achieveIntelligent processing method of "pushing when active and excluding when inactive".
Summarize the core ideas of online status screening:
1.Is the user online? ≠ Is the user valuable, but highly overlapping?
2.Online status needs to be judged in combination with other dimensions, such as active records, registration duration, device type, etc.
3.Multi-dimensional data screening allows you to no longer operate based on feelings, but let the data speak for itself
4.By regularly updating online data, we can keep user portraits fresh and improve the hit rate and interaction rate of each marketing campaign.
Become a digital planet nowVIP users enjoy full-process services such as multi-dimensional data filtering, online status recognition, behavioral profile synchronization, and batch user status refresh, helping you grasp every online moment of users and achieve accurate access to information and efficient interaction.
digital planetis a world-leading number screening platform that combinesGlobal 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:
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 filteringwait.
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/xingqiuproGet more information and verify the identity of business personnel through the official website. official businesstelegram:@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:https://www.xingqiu.pro/check.html, confirm whether the business contacting you is a planet official
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