JOLYN Drives 7% of Sales with Assistance from Product Recommendations
JOLYN is a performance swimwear and athletic apparel brand that empowers women of all shapes and sizes to feel confident and inspired.
Company size.
1 million subscribers
Challenges
Drop-off in conversions when customers couldn’t easily build matching sets. Rebuy recommendations didn’t account for details like colors, sizes, or materials. Klaviyo sent emails with identical manual recommendations for all customers.
Solutions
Switched to Maestra marketing automation platform for smarter recommendations. Now, the system: • matches sets by color and material, • filters out out-of-stock sizes to avoid dead ends in the buying experience, • keeps recommendations consistent across website and emails
Integrated with:
Shopify
Results
7% sales influenced by product recommendations
Switched to Maestra from:
Rebuy and Klaviyo
July 7, 2025
Results
- 7%
sales influenced by product recommendations
Testimonial
Our previous recommendation system only looked at items generally, not specific product details—so if someone bought a red bikini top, they might get shown a totally unrelated bottom, or one that was out of stock in their size. Everyone got the same popular suit, no matter what they’d actually looked at. With 4,000 SKUs, this clearly wasn’t working.
Now with Maestra, if you browse a red bikini top, you see the matching bottom—in your size, with the same material and cut. That attention to detail matters.It’s made shopping so much easier, helped people build full sets easily, and we’ve seen a clear improvement in conversion. Total game-changer.
Now with Maestra, if you browse a red bikini top, you see the matching bottom—in your size, with the same material and cut. That attention to detail matters.It’s made shopping so much easier, helped people build full sets easily, and we’ve seen a clear improvement in conversion. Total game-changer.
Website Recommendations
With Maestra, recommendations do more than just guess—they match tops and bottoms by color, material, and, most importantly, size.
Because Maestra pulls in real-time inventory, the system avoids classic pitfalls like suggesting nearly sold-out items or products unavailable in a customer’s size. Instead:
- Unavailable items are filtered out preventing shoppers’ frustration.
- Alternatives in the correct size are automatically shown, helping shoppers complete their look.
Email Recommendations
Previously, JOLYN’s emails relied on manually curated collections—identical for all subscribers. Now, with Maestra, those emails are fully personalized.
The biggest wins? Automated recommendations in high-intent flows like "Abandoned Cart" or "Abandoned Product View". Customers now see the exact item they were browsing—plus similar pieces.
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