WhatsApp Marketing User Screening Avatar Recognition

In real-world WhatsApp marketing, many businesses and marketers encounter the same problem:They invest a lot of time, money, and even purchase large amounts of phone number lists—yet still see very low conversion rates.

Most marketers or companies tend to blame poor message copywriting or limited targeting scope, but in reality, one of the biggest issues is the lack of proper user screening before launching the campaign.

First, it's important to know that not all phone numbers are registered on WhatsApp.Many phone lists from third-party sources, old data sets, or scraped content often include a large number of unregistered numbers (including deactivated accounts), virtual numbers, or even blacklisted accounts.

If these are imported into your marketing system without filtering, they won’t respond—and worse, your sender account could be flagged by WhatsApp for suspicious behavior, possibly resulting in a ban.

Even if a number is registered, that doesn’t mean it’s an active user.Some users haven’t logged in for a long time, have no profile photo, no “About” status, and no messaging activity.Messages sent to these users are unlikely to be seen, let alone clicked or replied to.This kind of “blind delivery” is a huge waste of both marketing budget and valuable WhatsApp accounts.

This is exactly where CrownSoft Various Accounts Filters and its profile photo recognition function come into play.

The software analyzes whether a WhatsApp account has a profile photo (usually a sign of an active user), and can even extract information like gender, age group, and interest features based on the image content.For example, if the profile photo is a selfie of a young woman, the system can tag it as a young female user.If the image includes pets or cars, you can tailor your messaging or product pitch accordingly to increase resonance and effectiveness.

By screening whether the number is registered, whether it has a profile photo, and analyzing the image content,businesses can categorize users more accurately:

• Send promotions to users with complete info

• Send greetings or onboarding messages to normal, active users

• Temporarily skip inactive users until further data is available

This increases targeting precision and leads to significantly higher conversion rates.