Svaha USA: Product Recommendations Assist 11% of Revenue
Integrated with:
Switched to Maestra from:
Results
- 11.2%
of total revenue assisted by recommendations
Maestra's Recommendation Dashboard — revenue assisted by recommendations grew steadily from January to March 2026
- +31.7%
in AOV
- +34.9%
in items per order
Testimonial
Recommendations That Present the Catalog in All Its Variety
Under Rebuy, product discovery was broken. A tool built to read catalogs couldn’t read this one. Every color of a Svaha dress is a separate Shopify product, and Rebuy treated each as a distinct rec — so a dragon dress filled every slot with the same dress in 16 shades.
Maestra reads the catalog structure correctly. Color variants group into a single card with swatches, so “You May Also Like” recommendations can do what they’re meant to: surface new products the customer hasn’t seen yet, not the same dress in another shade.
Maestra widget on the same PDP: color variants grouped into one card via swatches, each slot showing a genuinely different product
Product Cards Built for Both Deciding and Buying
Each Svaha rec card holds everything a shopper needs to buy: color options, ratings, review counts, old and new prices. So shoppers can make the choice right where they are.
Product card callouts: available colors, ratings & reviews, old & new prices — all visible without leaving the widget
Buying is just as fast. Hovering over a card slides in the available sizes — one tap and the dress is in the cart. For a brand selling XS–5XL, making the full size range visible on every card is the whole point.
Hovering a card slides in the full size range — one tap and the dress is in the cart
Mechanics Built to Grow the Basket
Recommendations don’t just help customers find products. They help Svaha sell more of them. Several widget types do this work, each built for a specific moment on the path to purchase:
Pair With surfaces matching accessories on PDPs.
Pair With widget: a dress and its coordinating accessories — bag, belt, shawl — all in one view
Frequently Bought Together — a three-product bundle at a discount. Shoppers can add everything to cart with one click or use checkboxes to pick individual items. Old and new prices sit side by side, so the savings are obvious.
Frequently Bought Together — a three-product bundle with old/new prices shown together, so the discount is visible at a glance
Minicart upsells — last-chance additions right before checkout. The customer is already committed, so relevant recommendations here lift the basket with almost no friction.
Minicart upsell: a relevant recommendation surfaces right before checkout, ready to add with one tap
The Bottom Line
Under Rebuy, recommendations were dead weight. Under Maestra, they’re pulling their share. 11.2% of Svaha’s revenue now runs through orders where a shopper engaged with a recommendation, and those orders carry 32% higher AOV than the rest.
