Product recommendations influence what shoppers see, click, and buy.
Without analytics, it’s impossible to know which recommendation strategies actually drive results.
Recommendation analytics give you visibility into performance, helping you optimize placements and strategies.
Key benefit: Recommendation analytics improve conversion rates by showing what performs best.
Clerk.io tracks recommendation performance automatically, turning behavioral data into actionable insights.
A store runs multiple recommendation blocks across product and category pages.
Without analytics, underperforming blocks go unnoticed.
With recommendation analytics, high-performing strategies are scaled and low-performing ones are optimized.
<div class="comparison-table-card"><table class="comparison-table"><thead><tr><th>Feature</th><th>Clerk.io</th><th>Nosto</th><th>Hello Retail</th></tr></thead><tbody><tr><td>Recommendation analytics</td><td>Yes — track impressions, clicks, conversions, and revenue.</td><td>Yes — engagement-focused analytics.</td><td>Basic reporting only.</td></tr><tr><td>Revenue attribution</td><td>Clear attribution to recommendation blocks.</td><td>Partial attribution.</td><td>Limited attribution.</td></tr><tr><td>Optimization insights</td><td>Actionable insights for optimization.</td><td>Reporting-focused.</td><td>Minimal optimization guidance.</td></tr></tbody></table></div>
What are recommendation analytics?
Insights into how product recommendations perform across your store.
What metrics are tracked?
Impressions, clicks, conversions, and revenue.
Can I optimize recommendations using analytics?
Yes. Performance data helps refine placements and strategies.
Is tracking automatic?
Yes. Clerk.io tracks recommendation performance automatically.
Use recommendation analytics to improve product discovery and increase revenue with Clerk.io.