Custom Targeting (Device Targeting) lets you display WordPress popups based on device type, browser, IP address, time, referrer, and user behavior.
Deliver the right message to the right audience, every time.
The Custom Targeting Extension for Instant Popup Builder gives you advanced control over who sees your popups, when they see them, and under what conditions. Designed for precision marketing, this extension helps you create highly personalized pop-up campaigns that improve engagement, increase conversions, and reduce bounce rates.
Instead of showing the same pop-up to every visitor, Custom Targeting allows you to fine-tune your campaigns based on device type, browser, location signals, timing, referral source, and user behavior, ensuring your message is always relevant and impactful.
Documentation: How to use Custom Targeting (Device Targeting) Extension for Instant Popup Builder
Generic popups often annoy users and hurt conversions. With Custom Targeting, your popups appear only to the audiences that matter, at the moments they’re most likely to engage. This results in better user experience, higher click-through rates, and smarter campaign performance.
Show different popups to:
Ensure every popup is optimized for the visitor’s screen and context.
Customize popups for users on:
Deliver browser-optimized experiences and ensure message compatibility. Use Device Targeting to control when and where WordPress popups appear based on device type, browser, IP address, time scheduling, referrers, and user behavior for higher engagement.
Control how your WordPress popups close with advanced exit options designed to improve user experience and conversions.
Advanced Triggers let you show popups at the perfect moment with smart conditions like page depth, element visibility, form abandonment, and URL/referrer targeting, ensuring higher engagement and conversions without annoying your visitors.
Custom Targeting (Device Targeting) lets you display WordPress popups based on device type, browser, IP address, time, referrer, and user behavior.