Sheffield Pottery: Identifying a +9.8% Conversion Uplift

Sheffield Pottery is a high-traffic Shopify store that processes a massive volume of specialized products, serving both B2B and DTC customers. Over a standard tracking period, they recorded 103,659 total sessions and generated $51,231 in trackable revenue.

Because pottery and ceramics require high-resolution imagery and complex product options, maintaining a fast storefront is incredibly challenging. Sheffield Pottery installed Superspeed Sonar to accurately map exactly where their heavy theme was hurting their bottom line.

The Revenue Leak Analysis

By deploying Sonar’s advanced tracking, the store accumulated over 688,000 specific performance data points. The analysis found a direct correlation between load speed and Average Order Value (AOV):

• Baseline AOV (Fast Sessions): $0.86 per session
• Slow AOV (“Poor” Sessions): $0.27 per session

When users encountered slow-loading product pages—often caused by heavy unoptimized images or render-blocking scripts—their likelihood to add items to their cart plummeted. Sonar identified 11,112 “Poor” sessions, which equated to a massive $9,720.36 total revenue leak.

The Projected Uplift

Using Sonar’s projection models, Sheffield Pottery calculated what would happen if they optimized those 11,000 slow sessions to meet Google’s “Good” Core Web Vitals thresholds.

Actionable Outcomes

Rather than attempting to “make the whole site faster,” the team could use Sonar’s detailed breakdowns to target the specific high-impact landing pages causing the 65.25% bounce rate on slow sessions.

The Sonar dashboard proved that leveraging revenue intelligence to fix performance bottlenecks isn’t just about SEO—it’s a direct path to a ~10% increase in gross revenue.