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

Multi-dimensional data screening is the key starting point for building a precise marketing system. Especially at a time when the number of social platforms is huge and information redundant, 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 filtering", operators can systematically disassemble user activity, registration time, online status, device usage type and other information, thereby retaining only the "worthy investment" of customers.

existIn mainstream social platforms such as WhatsApp, Telegram, Line, Facebook, etc., this strategy has been widely used in multiple scenarios such as account layering, private domain traffic diversion, automated customer service, and community management. Compared to the past, only checking whether the mobile phone number is registered, today's operators pay more attention to usersIs it active, whether the online time is high, whether the equipment can carry deeper information such as high-frequency interactions, the more accurate these dimensions are, the more scientific the decisions are.

Why do multi-dimensional data filtering? The traditional method is no longer enough

Once upon a time, a mobile phone number data could be"Register successful" is considered qualified. But in actual operation, you will find that registration is just a basic threshold. What really affects conversion is the behavioral tags and status behind the user:

ladd1000 WhatsApp contacts, maybe only 200 of them are recently launched

lPulled500 Telegram group members, nearly half of them were "corpse numbers" that have not been launched in half a year

lTowardsFacebook friends sent private messages in groups and found that the device type is incompatible with the message format, and the opening rate is extremely low

This is the waste of resources caused by the absence of multi-dimensional screening. You're not doing marketing,The "object" lacks understanding. Once you have the ability to judge dimensions such as activity, registration time, online status, etc., the accuracy of the entire promotion strategy will be qualitatively improved.

Dimension 1: Activity filtering allows you to use resources inPeople who are still talking

Activity filtering refers to determining whether the user's recent login records, message interaction frequency, group activity and other indicators on the platform."Currently active user". This is the most basic and important dimension.

Scenario application:

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

lexistWhen Telegram is doing group operations, it only sets welcome speeches and automatic replies for active users.

lAfter Line friends are tiered, priority will be given to pushing limited-time activities and coupons to highly active people.

Filtering logic:

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

Actual effect:

A batch of original mass sending invalidWhatsApp list, redistributed after snatching 60% of low-active users, has increased the interaction rate by more than 3 times. This type of effect is also applicable to multiple social platforms.

Dimension 2: Registration time filtering helps you judge the user's life cycle stage

Many people ignore an important indicator: Are users newly registered or old? This difference is huge.

New number:

lMaybe it's because I just joined the platform recently and I'm very sensitive to information

lEasier to activate to become a seed user

lCommonly used in scenarios such as attracting new advertisements, jumping to pages and importing customers.

Old number:

lThere may be some social sediment

lMore likely to become a long-term retention user

lBut it is also more likely to have been deprecated or have no response to push

Filtering logic:

Most professional systems will judge through interfacesThe first registration time of WhatsApp or Telegram account (accurate to year/month), or its registration period is estimated (such as "register for more than 1 year" and "register for less than 3 months").

Platform application example:

lexistIn Facebook Page's Messenger marketing, only the registration account within the past 6 months is selected to promote activities.

lexistBefore raising an account with WhatsApp script, prioritize binding of old accounts that have been registered for more than 3 months to avoid system risk control and ban

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

Screening value:

Registration time not only affects user portraits, but also determines the rhythm of operation strategy. For example, new accounts that promote product benefits require short-term and quick push, while old accounts that promote community construction prefer phased guidance and long-term companionship.

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

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

Typical scenarios:

lSet automatic messages to be pushed only to current online users

lCustomer service system settings"Priorit for reply to online users" logic

lAutomatic invitation to group activities is only sent to recent users online

Data Strategy:

By capturing the user's last online time and online frequency, dynamic grouping can be achieved. For example, buildThe system will adjust the grouping status in real time to ensure that marketing actions are targeted.

Empirical effect:

Make oneThe team of WhatsApp's secondary conversion only sends messages to users with "online" status. The reply rate is 4.5 times higher than the full mass sending, and the account closure rate is reduced by nearly 70%.

Dimension 4: Device type filtering, optimize content presentation and interactive design

Different user equipment has obvious differences in the performance and behavior of information reception. In the operation of social platform, device type filtering can help you accurately adapt to the content presentation method.

Common equipment types:

lAndroid

liOS

lWindows (PC)

lMacOS

lWeb Client

lAPI/Script Access Number

Filtering applications:

liOS users prefer image-type content, suitable for pushing product displays with high visual experience

lAndroid users are widely distributed, suitable for large-scale mass broadcasts

lWeb users are more likely to achieve instant reply, 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:

existThe API robot account is excluded in Telegram mass sending to avoid the system's identification as a violation; in Facebook advertising audience remarketing, only mobile device users are retained to improve landing page conversion; in WhatsApp, determine the PC login status and follow up on high-frequency users.

Potential benefits:

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

The key to multi-dimensional data filtering is"Divide and treat it"

Don't use it againProcess data in a "snatch-in-one" way. Even if you only have 10,000 contacts, you should label them according to the dimension. Through the disassembly of 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 social platforms becoming increasingly strict with behavioral data and frequent platform risk control,"Use every data in the right place" is the core competitiveness in the digital marketing era.

Become a digital planet nowVIP users enjoy multi-dimensional data screening, status marking, account portrait modeling and other functions to help you build a truly operational, convertible and sedimentable high-quality customer pool.