ScS partnered with Fabric to strengthen analytics capability, unify data, and build intuitive dashboards and training. Fabric reconfigured GA4, improved data governance and compliance, and supported better decision-making, leading to increased transactions, improved efficiency, and reduced CPA.
GA4 Audit, Consent Mode
Salesforce Commerce Cloud

ScS has evolved from a general home furnishing store to one of the UK’s leading sofa and carpet specialists. Founded in 1894 in Sunderland, Tyne and Wear, the business has grown over more than 125 years by offering quality products and putting customers first. Today, ScS operates 101 stores across the UK, employs over 1,500 people, and is listed on the London Stock Exchange.
ScS needed a partner to complement their internal teams by supporting data governance, data compliance, training, CRO, general consultancy, and ultimately making better use of their data.
The objective was to maximise the value of ScS’s data while helping teams become as self-sufficient as possible. Fabric Analytics took the time to fully understand the business and its requirements, immersing ourselves in the organisation, including time spent onsite.
We began by reconfiguring the GA4 account to ensure robust, reliable data and enable all advanced GA4 functionality. Fabric also merged extensive datasets, using advanced analytical approaches to extract meaningful, actionable insights.
The team’s expert-level GA4 knowledge uncovered crucial patterns and trends, strengthening strategic decision-making across the business. Deliverables included intuitive dashboards, advanced segmentation, and user-friendly visualisations. This work not only improved operational efficiency, but also positioned Fabric Analytics as a trusted long-term partner, recognised for delivering insight through GA4 implementation and enablement.
Tailored training sessions were delivered to ensure strong alignment with ScS’s objectives and to embed analytics capability across teams.
As a result of the partnership, ScS achieved a 35% improvement in transactions alongside a 13% decrease in cost per acquisition, significantly improving marketing efficiency. In parallel, over 20 team members were trained, increasing internal capability and supporting long-term, data-driven decision-making.

