Key outcomes:

• 100% visibility into ad spend and performance across Google Ads, Bing, Facebook, email, and Rakuten affiliates.
• 67% ROAS uplift through data‑driven, multi‑touch attribution and automated budget reallocation.
• Reduction in duplicate conversions by applying a single, unbiased attribution model.
• Quick identification of low-ROI campaigns, allowing the team to shift spend to top-performing channels.
• Centralized KPI benchmarks for consistent agency accountability across regions.

About the client

Victorinox, maker of the original Swiss Army Knife since 1884, has expanded into four major product lines—knives, watches, travel gear, and fragrances—and now sells globally via e‑commerce marketplaces.

With campaigns running simultaneously across multiple platforms and countries, Victorinox needed a unified approach to measure and optimize its ad spend.

Challenges

Victorinox was investing heavily across multiple platforms and markets, but struggled with fragmented reporting and siloed attribution models. Particularly, their main challenges were the following:

• Fragmented reporting across individual ad platforms prevented a full‑funnel view of customer journeys.
• Conflicting attribution from each channel led to over‑ or under‑counted conversions.
• No centralized dashboard made it hard to compare agency performance and campaign ROI across markets.
• Assumption‑driven budget decisions resulted in wasted ad spend and missed growth opportunities.

Solution

Victorinox implemented Windsor.ai’s automated ELT pipelines and algorithmic attribution engine to integrate and analyze all their marketing data in one place.

Here’s what Windsor.ai brought to the table:

✅ Fully automated data integration

Our native connectors pulled campaign and cost data from every platform into a single Looker dashboard -> BigQuery warehouse.

✅ Multi‑touch attribution

We’ve implemented a data‑driven model that assigns conversion credit to each touchpoint across the customer journey.

✅ Spend‑to‑revenue matching

By leveraging BigQuery’s analytical capabilities, Victorinox linked marketing costs directly to attributed revenue for true ROAS measurement.

✅ Real-time insights

By tracking KPIs in an auto-updating Looker Studio dashboard, Victorinox was able to quickly pause underperforming campaigns and reallocate budget to the best-performing ones.

Results

• Victorinox’s ROAS improved by 67%+ thanks to shifting budgets to channels with the highest attributed value.
• Cost per acquisition reduced by 43%, as the team eliminated wasted spend on non‑converting campaigns.
• Full cross‑channel transparency by merging first‑ and last‑touch data, channel interactions, and campaign performance in one view.
• Standardized KPIs enabled clear performance benchmarks and accountability across global partners.

Final takeaway

Victorinox transformed fragmented marketing data into a centralized, transparent attribution framework built in the real-time Looker dashboard and BigQuery project.

With Windsor.ai, they achieved measurable ROAS gains, cut acquisition costs, and empowered data‑driven decision‑making across all countries, maximizing the value of every marketing dollar.

Curious what Windsor.ai can do for your agency?

Start your free 30-day trial: https://onboard.windsor.ai/.
Or book a demo: https://calendly.com/windsorai/guided-onboarding.