How to find truly active social users through multi-dimensional data filtering?

Multi-dimensional data screening is the key starting point for building a precision marketing system. Especially now that there are a huge number of social platform users and serious information redundancy, if you want to improve promotion efficiency and reduce operating costs, you must rely on multi-dimensional data screening to accurately identify user status. pass"Multi-dimensional data screening" allows operators to systematically dismantle information such as user activity, registration time, online status, device usage type, etc., so as to retain only those customers who are "worthy of investment."

existIn mainstream social platforms such as WhatsApp, Telegram, Line, and Facebook, this strategy has been widely used in multiple scenarios such as account stratification, private domain traffic, automated customer service, and community management. Compared with the past, which only looked at whether the mobile phone number was registered, today's operators pay more attention to users.Whether it is active, whether the online time is early, whether the device can carry high-frequency interaction and other deeper information, the more accurate these dimensions are, the more scientific the decision-making will be.

Why do we need to filter multi-dimensional data? Traditional methods are no longer enough

Once upon a time, as long as a piece of mobile phone number data could"Registration successful" is considered qualified. But in actual operations, you will find that registration is only the basic threshold. What really affects conversion is the behavioral tags and status behind the user:

ladd1000 WhatsApp contacts, maybe only 200 recently online

lPulledThere are 500 Telegram group members, and it turns out that nearly half are "corpse accounts" that have not been online for half a year.

lTowardsFacebook friends send private messages to a group. It is found that the device type is not compatible with the message format and the open rate is extremely low.

This is a waste of resources caused by not doing multi-dimensional screening. It’s not that you’re not doing marketing, you’re doingLack of understanding of the "object". Once you have the ability to judge activity, registration time, online status and other dimensions, the accuracy of the entire promotion strategy will be qualitatively improved.

Dimension 1: Activity filtering allows you to use resourcesOn people who are “still talking”

Activity screening refers to judging whether a user is a user through indicators such as their recent login records on the platform, message interaction frequency, group activities, etc."Current active users". This is the most basic and important dimension.

Scenario application:

lexistWhatsApp filters out users who have not been online for 30 days to improve message delivery conversion rate

lexistWhen Telegram operates a group, it only sets welcome messages and automatic replies for active users.

lAfter Line friends are stratified, limited-time activities and coupons will be pushed to highly active groups first.

Filter logic:

The system will score based on the user's last online time, frequency of interaction, and response actions after being added to the group, for example"Active (online multiple times within 7 days)", "Moderately active (online 1-2 times within 30 days)", "Low active (not online for a long time)". You can select only active and moderately active people to invest in.

Actual effect:

A batch of batches that were originally invalidThe WhatsApp list was redistributed after eliminating 60% of low-active users, and the interaction rate increased by more than 3 times. This type of effect works across multiple social platforms.

Dimension 2: Registration time filtering to help you determine the user life cycle stage

Many people overlook an important indicator: Is the user newly registered or an old account? The difference is huge.

New account:

lMaybe he just joined the platform recently and is highly sensitive to information.

lEasier to activate as a seed user

lCommonly used in scenarios such as advertising to attract new customers and jump pages to import customers.

Old account:

lThere may be some social accumulation

lMore likely to become long-term retained users

lBut it is also more likely that it has been deprecated or unresponsive to push

Filter logic:

Most professional systems will judge through the interfaceThe time when the WhatsApp or Telegram account was first registered (accurate to the year/month), or the estimated registration period (such as "registered for more than 1 year" or "registered for less than 3 months").

Platform application examples:

lexistIn Facebook Page’s Messenger marketing, only accounts registered within the past 6 months are screened for promotions

lexistBefore the WhatsApp script maintains an account, it will give priority to bind accounts that have been registered for more than 3 months to avoid system risk control and account bans.

lexistIn Line user data, old accounts push brand building content, and new accounts push discount conversion information.

Filter value:

Registration time not only affects user portraits, but also determines the rhythm of operational strategies. For example, new accounts that promote product benefits require short-term and fast push, while old accounts that promote community building prefer staged guidance and long-term companionship.

Dimension 3: Online status filtering to improve real-time delivery and response rate

Many social platforms support querying whether users are currently online, for example"last seen" status on WhatsApp, Telegram. The value of presence screening is obvious:Messages are delivered when users are online, with a higher probability of being read and responded to.

Typical scenario:

lSet automatic messages to be pushed only to currently online users

lCustomer service system settings"Prioritize replying to online users" logic

lAutomatic invitations to group events are sent only to recently online users

Data strategy:

Dynamic grouping can be achieved by capturing the user's last online time and online frequency. For example, createWith tags such as "Online group in the past 24 hours", "Active group in the past 7 days", "Group not online for more than 30 days", etc., the system will adjust the grouping status in real time to ensure that marketing actions are targeted.

Efficacy evidence:

Make oneThe WhatsApp secondary conversion team only sends messages to users in the "online" status. The response rate is 4.5 times higher than that of full mass messaging, and the account suspension rate is reduced by nearly 70%.

Dimension 4: Screening of device types, optimizing content presentation and interaction design

Different user devices have obvious differences in the performance and behavior of information reception. In social platform operations, device type filtering can help you accurately adapt content presentation methods.

Common device types:

lAndroid

liOS

lWindows (PC)

lMacOS

lWeb client

lAPI/script access number

Filter application:

liOS users prefer image-based content, which is suitable for pushing product displays with high visual experience.

lAndroid users are widely distributed and are suitable for large-volume mass messaging

lIt is easier for web users to respond instantly, which is suitable for customer service collaboration.

lAPI accounts are mostly used for robots or commercial scripts and should be treated differently to avoid invalid push.

Platform integration strategy:

existExclude API robot accounts from Telegram group sending to avoid system identification as illegal activities; in Facebook advertising audience remarketing, only retain mobile device users to improve landing page conversions; determine PC login status in WhatsApp to follow up on high-frequency users.

Potential benefits:

Through differentiated delivery of device types, content click-through rates are increased12%, and the average user stay time increased by 22%, which is a very valuable optimization point for the private domain operation team.

The key to multi-dimensional data screening is"Divide and conquer"

Don't use it againProcess data in a “grab” manner. Even if you only have 10,000 contacts, you should label them by dimension. Through specific dimensions such as activity, registration time, online status, and device type, each batch of numbers can have a clear positioning and purpose.

In the context of current social platforms becoming increasingly strict on behavioral data and frequent platform risk control,"Using every piece of data in the right place" is the core competitiveness in the digital marketing era.

Become a digital planet nowVIP users can enjoy multi-dimensional data filtering, status marking, account portrait modeling and other functions, helping you build a high-quality customer pool that is truly operable, convertible and sedimentable.