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Svaha USA Grows Total Sales by 26% After Consolidating Their Entire Marketing Stack

Svaha USA is a themed apparel brand with science, nature, and pop-culture prints. It ships to 50+ countries and sizes every style XS–5XL.
Nikki Brown
Nikki Brown
Marketing & Operations Director at Svaha USA
Challenges
The stack was falling apart — loyalty dropping rewards, Rebuy recommending the same dress in 16 colors, email flows dated and incomplete, and thin support. The last straw: Yotpo sunsetting email and SMS mid-Q3, forcing a full rebuild right before peak season.
Solutions
Consolidated to Maestra all-in-one personalization platform:• Loyalty program with in-checkout redemption• Product recommendations with color swatches• On-site personalization across catalog, PDPs, and minicart• Redesigned email & SMS flows

Integrated with: 

Shopify
Results
+26% total sales+14% AOV

Switched from: 

Yotpo (email, SMS, loyalty), Rebuy (recommendations)

Results

  • +26%

    total sales

  • +14%

    average order value

What Consolidating to Maestra Changed

Before MaestraWith Maestra
Loyalty program
❌ Loyalty required a separate opt-in — support kept getting “can I get points for my old orders?” tickets✅ No separate opt-in — shoppers earn points on every purchase automatically
❌ Loyalty points often didn’t land — customers left reviews and got no credit✅ Points land reliably on every review, purchase, and trigger
❌ Points lived on a separate page — copy a code, paste at checkout. Shoppers gave up and wrote to support✅ Checkout shows all rewards — tap to apply, instant refund if you change your mind
Product recommendations
❌ Rebuy recommendations filled every slot with the same dress in different colors — no real product discovery✅ Color variants grouped with swatches, each rec slot shows a genuinely different product
❌ Recommendations cost a percentage of attributed revenue✅ Recommendations are included in Maestra — no per-revenue fee
❌ Product recommendations in emails crashed often, so customers saw empty links✅ Email recommendations render correctly and use real customer data to personalize
Site personalization
❌ A one-size-fits-all storefront — no way to tailor the experience by geo, traffic source, or shopper behavior✅ A store that adapts to each visitor — geo, traffic source, and lifecycle stage all shape what they see
Email & SMS flows
❌ Emails looked like they came from different brands — flows from various redesign eras stacked side by side✅ Every flow rebuilt on-brand, with reusable blocks for fast new builds
❌ No hands-on help from Yotpo — flows went stale, logic broke, some never got built✅ CSM rebuilt the flow program end to end — fixed logic, refreshed content, filled the gaps

Loyalty That Customers Can Actually Use

Under Yotpo, Svaha’s loyalty program had problems on both ends:

Rewards often didn’t land. Customers left reviews through Yotpo Reviews and didn’t get credit for them — ironic given both products live under the same roof.

Redeeming points meant finding a dedicated loyalty page, picking a reward, copying a code, and pasting it at checkout. Customers who forgot to apply their codes had to reach out to support for retroactive adjustments — a recurring ticket category.

Customer service fielded a new round of loyalty complaints every week.

With Maestra, points land reliably on every review, purchase, and trigger. Redemption happens directly in checkout. All available rewards sit in a single section — eligible ones ready to apply with one tap, ineligible ones grayed out so there’s no guesswork.

If a customer applies a reward and then removes it from the order, the points get refunded automatically — no support ticket needed.

Loyalty points are now visible across the whole customer journey. In emails, a single adaptive block shows members their tier and points balance and invites non-members to join.

Svaha loyalty block in the Maestra email builder

The pre-built loyalty block sits in the email builder, ready to drop into any campaign — members see their tier and points balance, non-members get an invite to join

The result: loyalty tickets no longer show up on the customer service queue.

The same loyalty experience now works on Svaha’s mobile app.

Recommendations That Surface Something New

Under Rebuy, product discovery was broken. Svaha stores each color as its own Shopify product, and Rebuy treated all 16 as distinct items — so browsing a dragon dress surfaced the same dress in 16 shades instead of anything new.

Maestra groups color variants with swatches, so each recommendation slot is a genuinely different product. Shoppers browse colors within one card instead of seeing the same item repeated.

Svaha product page with variant-aware recommendations

Color variants grouped with swatches — each recommendation slot shows a genuinely different product

That’s just one slice of the setup. For the full breakdown — Pair With, You May Also Like, FBT, bundles, minicart upsells, and the revenue they bring — see the dedicated recommendations case study.

A Website That Adapts to Every Visitor

Svaha’s shoppers come from different places, different ad campaigns, and different points in the lifecycle — and they expect the storefront to meet them where they are. Maestra’s on-site tools let the same product page show different things to different people.

Geo and ad-targeted promo reminders. AUS back-to-school doesn’t line up with the US calendar, so AUS shoppers see the 25% off reminder on PDPs and the announcement bar while US visitors keep seeing the US offer.

Geo-targeted promo reminder on a Svaha product page

AUS shoppers see the back-to-school reminder on PDPs and the announcement bar; US visitors keep seeing the US offer

BOGO for ad campaign traffic. Svaha runs a “Buy One, Get One 50%” deal on a curated set of dresses — one of the highest-performing plays for specific audience segments. Before Maestra, there was no way to target by traffic source, so the team ran the offer on a single dress, visible to everyone. Now the badge shows on every qualifying dress, only to ad traffic, with a link to the full collection.

BOGO badge for ad-campaign traffic

The BOGO badge shows on every qualifying dress, only to ad traffic, with a link to the full collection

These are just two of the website personalization tactics Svaha runs. More examples — announcement bars, sticky banners, PDP overlays, shortcut filters, promo reminder badges, country-aware minicart messages, and more — are in our 16 website personalization tactics article.

Every Email Redesigned, Every Flow Rebuilt

Under Yotpo, Svaha’s email program was a time capsule. The brand had been through multiple redesigns, but with a lean team and no strategic help from Yotpo, only some emails got updated each time. Flows from different eras sat side by side — some in the old green branding, some in an even older blue, reading like messages from different brands.

Old Svaha Winback email
Old Svaha Abandoned Cart email

Winback and Abandoned Cart emails in the old design — they looked like messages from different brands

On top of that, Svaha redesigned their website a week before going live with Maestra — new color palette, new vibe. Every email had to be restyled from scratch.

Maestra’s CSM didn’t just rebuild the existing flows to match. She put together a set of branded content blocks — headers, product cards, promo banners — so Svaha’s team can now assemble new emails in minutes, always on-brand.

New Svaha Welcome email
New Svaha Abandoned Cart email

Welcome and Abandoned Cart emails in the new design — consistent and up to date

Fixing the logic. Without proper support from Yotpo, some flows had gaps that were quietly leaking money. The Back in Stock SMS, for example, offered a 20% discount to customers who had signed up to be notified — the highest-intent audience possible. These are people who literally asked to be told when the item was available. Removing that unnecessary discount was one of many tweaks made during the rebuild.

Svaha Back in Stock SMS notification
The Back in Stock SMS reached the highest-intent audience — the rebuild removed an unnecessary 20% discount

Another quiet problem: the browse abandonment flow was set up to exclude all existing purchasers — not just those who’d bought since entering the flow. Customers who’d made a single purchase months ago stopped receiving browse abandonment messages entirely. Fixing the segmentation logic reopened a channel to the brand’s most engaged audience.

Building what was missing. Svaha had no Win-back, Post-Purchase, or Re-engagement flow. Maestra’s CSM helped design each from scratch — the strategy, triggers, and segmentation.

New Svaha Win-back email

The new Win-back email, built from scratch

The Bottom Line

Svaha was forced to migrate mid-peak season — not the plan any brand would choose. But with Maestra’s white-glove service, the crisis turned into a cleanup. Emails rebuilt from scratch. Missing flows launched. A loyalty program that had been quietly broken, fixed. Product discovery working for the first time, with recommendations that understand how Svaha’s catalog is built.

A forced migration that left the business in a stronger place than where it started.