Learn how JOLYN boosted popup submission rates by 21% and revenue per user by 22% using Maestra's AI-powered popup optimization, while maintaining profit margins with smart discount strategies.
JOLYN Increases Email Capture by 21% with AI-Optimized Popups
Challenges
With only 3% email capture rate, JOLYN couldn’t re-engage most visitors who left without purchasing. Their universal 10% discount strategy eroded margins without maximizing conversion
Solutions
Switched Maestra’s marketing automation platform and Monocle AI to show smarter, more personalized popups at the best moment with the minimum discount needed to convert each user
Results
+21% in popup submission rate
+22% in revenue per user which annualized incremental lift of $0.25M Based on A/B testing compared to a control group +26% revenue per website user
Integrated with:
Shopify
Switched to Maestra from:
Amped.io and Klaviyo
Results
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+21%popup submission uplift
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+22%submitted revenue uplift
Based on A/B testing compared to a control group
-
+26%revenue per website user
Testimonial
With this popup, we’re converting more website visitors into customers. People leave their email, get to know us through the welcome flow, start opening our regular campaigns—and they convert. Our revenue per website user is up by 26%!
At the same time, we’re also maintaining our profit margins. We used to offer everyone a flat discount, and now we only give higher discounts when that’s what’s needed to make visitors sign in.
It’s a big win for us!
At the same time, we’re also maintaining our profit margins. We used to offer everyone a flat discount, and now we only give higher discounts when that’s what’s needed to make visitors sign in.
It’s a big win for us!
AI-Optimized Popups
The AI analyzes customer behavior in real time to determine when to show a popup and what incentive, if any, will motivate a sign-up. Depending on the user, that could mean a 10% offer, 15%, or no discount at all. This data is sent directly to Maestra, which instantly displays the right pop-up—no delays, no guesswork.
Each popup also collects user preferences (e.g., beach vs. poolwear), making future emails more relevant and more likely to convert.

The discount amount in the popup depends on browsing behavior and contextual data