SFERRA Fine Linens increases ROAS 3x and generates $300K+ in incremental revenue with Triple Whale
Founded in Italy in 1891, SFERRA (alongside sister brand Pratesi) operates in the luxury bedding and fine linens space, bringing uncompromising quality and the Italian art of fine living to customers worldwide.
As a high-consideration ecommerce business, growth depends on sophisticated, multi-channel marketing. The SFERRA team works across both brands, managing performance across several marketing channels, including Meta, Google, Microsoft Bing, Klaviyo (email & SMS), Impact (affiliate marketing), direct mail, CTV, and display ads.
Despite this complexity, SFERRA’s team is incredibly lean. There is no dedicated analyst. Instead, team members across ecommerce and C-suite rely on performance data to guide strategic decisions.
As SFERRA’s channel mix grew, their reporting infrastructure struggled to keep pace. The team relied on Google Analytics and Shopify analytics to understand performance, but neither was built to deliver a complete, reconciled view of cross-channel attribution at the level their marketing engine now required.
SFERRA's team had a data problem, and it wasn't that they lacked data — they needed clarity.
Challenge
As SFERRA’s marketing ecosystem grew more sophisticated, so did the demands on attribution.
Google Analytics once provided insights into channel performance. But after its transition to GA4, SFERRA’s team found the platform harder to trust and customize. Plus, data gaps made it difficult to see the full picture of performance.
Then, the team turned to Shopify analytics. However, that created its own operational issues: pulling performance data required exporting multiple reports, merging them manually, building pivot tables, and classifying datasets before analysis could even begin. The process was doable, but certainly not sustainable for a small team managing two brands and multiple channels.
At the same time, SFERRA faced a familiar multi-channel challenge: marketing platforms were claiming their own version of performance. Without a unified view across channels, it was hard to evaluate incremental impact and make confident decisions, especially when acquisition strategy depends on knowing which channels drive new customers, not just repeat buyers.
SFERRA had the marketing mix of a scaled brand, but the reporting constraints of a small one.
The team needed a single source of truth they could access instantly — reconciled to Shopify revenue, unified across channels, and capable of isolating new customer acquisition without manual manipulation.
Triple Whale delivered exactly that, all in one place.
Solution
SFERRA adopted Triple Whale to centralize attribution, standardize reporting, and unlock faster, more confident decision-making across the team and their agency partners.
What they didn't expect though was how quickly the platform's value would expand beyond attribution into full-stack marketing intelligence.
Within a few weeks of onboarding, Triple Whale became the operational backbone of SFERRA’s marketing strategy — powering attribution, budget decisions, email enrichment, and AI-driven analysis inside one unified platform.
Establishing a Source of Truth for Marketing Attribution
Today, SFERRA relies on Triple Whale as their attribution source of truth across all channels, relying primarily on two attribution models:
- Last Click, for alignment with Shopify revenue
- Total Impact, used by their agency for cross-channel evaluation
Every Friday, the team pulls a custom attribution report inside Triple Whale. But performance is not discovered weekly, it’s monitored continuously.
Reporting is now consistent across stakeholders, aligned with what finance sees, and accessible without hours of reconciling data.
That clarity created alignment.
"Before Triple Whale, we just felt frustrated. We questioned which channels were truly driving conversions, and which sources were growing our new customer base.”
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