Case Study
X-BIONIC: Data Excellence & Enterprise Customization
Precision instead of inconsistency: how X-BIONIC used its system migration to create a stable foundation and an architecture for deep insights.
Since our switch back to Shopify Liquid, the Analyticsfreaks have been our strategic partner for a first-class data setup.
We needed an absolutely clean tracking foundation. The Analyticsfreaks solved this with a precise concept using GA and Elevar. Today, we have seamless conversion tracking and legally compliant consent management that finally ensures a reliable data foundation.
In addition to their expertise, we are especially impressed by the Analyticsfreaks’ professionalism, proactiveness and flexibility, which makes them a valuable extension of our team.
A partner we recommend without hesitation—and to whom we gladly entrust our data foundation.
Yves Lüthi, Head of Tech & Data
X-BIONIC
X-BIONIC was founded in Switzerland over 25 years ago and is revolutionizing sportswear with a highly scientific approach. The mission: to turn sweat into energy through biomechanics and inspiration from nature. What began in 2002 with a sock has led to more than 800 patents. Today, X-BIONIC is one of the leading brands for high-performance sportswear and sells functional apparel, sports socks and, most recently, trail running shoes worldwide through its own online shop and through specialty retailers around the globe.
About the company
- Company
- X-BIONIC (X-Technology Swiss R&D AG)
- Type
- Premium sportswear
- Employees
- approx. 45
- Location
- Zurich, CH
This case study shows how X-BIONIC professionalized its tracking infrastructure—moving away from legacy structures that had grown over time toward a stable enterprise solution. We used the strategic switch to the Liquid architecture as an opportunity to fundamentally overhaul the system, resolve existing inconsistencies and create added functional value through advanced customizations. The result is a precise, legally compliant data foundation that goes beyond market standards and enables deep insights into content performance that could not be measured in a standard setup.
Situation
X-BIONIC was planning the system migration back to the Shopify Liquid architecture. The existing tracking showed technical inconsistencies (including in Google Ads and Microsoft Ads) that existed regardless of the shop architecture. In addition, an earlier system change without expert support had led to missing and inconsistent data, which severely limited measurability.
Challenge
The biggest challenge was artificially inflated ROAS figures caused by massive double tracking in the ad accounts. In addition, standard tracking solutions reached their limits when it came to measuring X-BIONIC’s highly specific content structures at a granular level. At the same time, the changing legal and browser landscape required an upgrade of the consent architecture to prepare the setup optimally for future tracking restrictions.
Solution
We supported the Shopify migration technically and established a clean single-source-of-truth model that completely eliminates double counting in Google Ads. Through custom data layer adjustments, we also implemented native content group tracking. To make the setup as future-proof as possible, we migrated consent management to Pandectes. The Shopify Privacy API and GTM Consent Mode are now used optimally, which guarantees the highest data quality in line with state-of-the-art privacy standards.
Since the start of the collaboration,
X-BIONIC has benefited from…
Absolute reliability of performance KPIs
and ROAS through successful deduplication and elimination of conversion inflation
Future-proofing (“Privacy First”)
through a modernized consent setup that proactively prepares the system for upcoming browser restrictions
Analytical depth
Custom content tracking makes strategic content marketing decisions directly measurable
Detailed, data-based understanding of the customer journey
(focus on PDP tracking) enables the precise attribution of conversions to specific content and product clusters
The analytics consultants behind the project
Data nerds united
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