How to Quickly Filter Inactive Users in WhatsApp Marketing?

In WhatsApp marketing, many marketers often encounter a common problem: among the user lists they obtain from various sources, a large proportion of users are inactive or rarely use WhatsApp. Many of these numbers have even been deregistered from WhatsApp or almost never log in.

When marketers try to conduct deep marketing campaigns, they often find it almost impossible to proceed — these users not only fail to engage with marketing activities but can also waste advertising budgets and manpower. This is why quickly and effectively filtering inactive users has become a key step in improving WhatsApp marketing efficiency.

Currently, there are several common methods to quickly and effectively filter out inactive users:

Filtering based on recent activity time

A traditional approach is to check the user’s last login time and manually — or via backend systems — mark those who haven’t logged in for a long period as inactive. However, when dealing with a large user base, this method is extremely time-consuming, lacks diverse data points, and is prone to errors in judgment.

Filtering based on interaction behavior

Another method is to assess activity levels through engagement metrics, such as tracking how frequently users send and receive messages or checking their interactions in status updates. This method provides a better reflection of user activity but requires extensive data analysis, making it both time- and labor-intensive.

Using dedicated active user filtering tools

One of the most widely used methods in the market today is leveraging specialized active user filtering software — such as the Crownsoft WhatsApp Active User Filter — to quickly and efficiently identify active users based on a few simple criteria.

With this software, you can quickly import your phone number list into the tool. For business accounts, you can directly check the last active time to make your judgment. For personal accounts, you can determine activity by checking whether the account is registered on WhatsApp, whether it has a profile picture, and reviewing details such as the profile picture and status message.

The software can also automatically identify age, gender, and status language from these details, helping marketers quickly determine whether a user is active.

Crownsoft WhatsApp Active User Filter Software users can scan the QR code to log in to your WhatsApp account or import channel accounts or hash accounts in batches to filter, use your WhatsApp permissions to filter the target phone numbers registered for WhatsApp, and judge gender and age based on WhatsApp avatars. After filtering, you can export .txt/.xls/.xlsx/.vcf files.