The highly active user identification system adds a new behavioral analysis dimension to support more subdivided screening logic

Getting into social marketingIn the stage of “excess of reach and scarcity of response”, accounts that can truly be seen and responded to have actual value. This type of account has one common characteristic:High activity, frequent behavior, and prompt response. Therefore, more and more brands and platforms are shifting their core strategies to identification and refined grouping of highly active users..

But only by"Whether you have been online recently" or "whether you have registered for social software" can no longer meet actual operational needs.

The complexity of user active behavior determines that the recognition system must be more intelligent——Only those who can understand the behavior rhythm, preference pattern and depth of use of an account on social platforms are truly qualified.High active screening value.

This article will focus on:

“How to judge highly active users?”

“Can a single dimension lead to misjudgment?”

"Does batch recognition and multi-dimensional judgment be supported?"

Expand these questions and analyze them in depthNew behavioral analysis dimension in highly active user identification system, and combined withThe social account identification capabilities provided by the Digital Planet platform areAPI interface combination application, explain clearly how to build a more realistic and effective user screening model.

 

Why is traditional activity recognition no longer enough?

In the early days, most systems were based solely on"Whether to log in" and "whether to register for a social software" determine the active status. It is true that some silent accounts can be screened out, but the following situations are also prone to occur:

lJust launched but no actual usage behavior

lAfter registering for many years, the information has not been updated, but due to accidental login, it is still judged as"active"

lThe criterion for judging activity is single and fails to differentiate between real interactive users and passive logins.

These are easy to"Low-potential accounts" are misjudged as high-value objects, resulting in a waste of investment resources and a decrease in communication efficiency.

 

What dimensions should a highly active user identification system include?

On the basis of the original, the Digital Planet platform has added several newbehavioral analysis dimensions, used to model the activity status of an account from multiple angles and help identify users with real interactive value.

1. Multiple days of continuous online records

Not only does it look at the last time it was online, but it also analyzes whether it has been used continuously in the past few days. For example, continuousAccounts that have been active for 3 days usually indicate that they are used more frequently and are more likely to be communicated and responded to.

2. Depth of use of social platforms

Determine whether the user has entered a group, opened a conversation, actively initiated a message, etc. These behaviors can better reflect the authenticity of use than simply going online.

Applicable toTelegram, WhatsApp, LINE and other platforms can achieve refined identification by combining the Telegram status detection API interface or the WhatsApp status detection API interface.

3. Data completeness and update frequency

An account that sets an avatar, changes a nickname, and sets a status often indicates that it is“Real, everyday users,” not one-time registrations or automated accounts.

4. Social interaction trajectory

Whether the user has replied to the message, viewed the content, or clicked on the link. These interactive signals are the core basis for judging whether the user has the possibility of conversion.

5. Online cycle and time period analysis

Identify whether users are concentrated in certain time periods. For example, the strategies for day-active and night-active people are different, and the reach plan can be customized accordingly.

 

Does it support batch judgment? Whether it can be accessedAPI interface?

Yes. Digital Planet supports using these dimensions in multiple ways to complete batch judgments:

1. Platform batch import identification

Support uploading mobile phone number or userID, automatically generates activity model scores and outputs standard judgment results. The results can be directly used for mass sending, grouping, group building or CRM synchronization.

2. API interface calling method

Support for standards provided through the platformThe API calling method is embedded into your SCRM, automated marketing system or community operation tool to achieve automatic identification, automatic scoring, and automatic circulation.

For example, viaThe WhatsApp status detection API interface or the Telegram account identification interface obtains basic status information, and then combines it with the behavioral analysis model for in-depth identification to achieve a true sense ofBehavior level distribution judgment.

 

What practical effects can the subdivided filtering logic bring?

Based on past project application data, the segmented identification system can be significantly improved:

lReach response rate: Because the target is more precise, the average interactive response rate can be increasedMore than 30%

lDelivery conversion rate: After filtering out low-active accounts, the conversion rate increasedRanging from 20% to 50%

lCustomer life cycle management capabilities: Predict active-to-cold trends through behavioral changes and set marketing actions in advance

lQuality of community activity: Screen highly active users into the group to improve overall participation and retention rate

 

How to build a user operation strategy based on behavior recognition?

It is recommended to implement the following process:

1.Collect basic user data: Including mobile phone number,ID, source channel

2.Call active identification interface: Determine whether the account is registered and whether it is being used on the platform

3.Extract behavioral data dimensions: Determine its active continuity, interactive behavior, data changes, etc.

4.Build hierarchical logic based on recognition results: Such as daily active, high interaction, silent account, occasionally active, etc.

5.Match different communication rhythms: For example, high active users are reached every day, and low active users are pushed on a weekly basis.

6.Regularly review active changes: Identify status changes from high to low, from cold to hot, and dynamically update the reach plan

 

Conclusion: Segmentation ability determines the upper limit of precise efficiency

Whether the user is highly active is no longer aThe simple judgment of “login counts” is an in-depth recognition project that combines multiple dimensions, multi-platforms, and multi-behaviors. Only by truly understanding the behavioral trajectory behind the account can limited communication resources be invested in the users who are most likely to bring results.

Through Digital Planet’s continuously optimized recognition capabilities, you can:

lDetermine whether a number is worth sending the first message

lDetermine whether an account should be added as a friend or pulled into the community

lDetermine whether a user needs regular maintenance or silent observation

Precision starts from screening, and conversion starts from recognition. Use the highly active user identification system now and let social behavior data become the underlying engine for your operational decisions.


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:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Byb wait.

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

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