Prove personalization ROI with real data

Triom automatically tracks every widget interaction from load to conversion. When a shopper views a widget, clicks a product, adds to cart, or completes a purchase, Triom captures the event and attributes it to the specific widget and recommender without requiring manual tracking setup. View tracking documentation

Yes, the analytics dashboard shows revenue attributed to each widget. You can see total revenue, average order value, conversion rate, and revenue per visitor for every widget deployed on your store. Learn about Merchandising Widgets

Triom uses first-click attribution for widget interactions. If a customer clicks a product from a widget and later purchases it, that sale is attributed to the widget. Multi-touch attribution tracks the entire journey when customers interact with multiple widgets.

For each recommender type, you can track views, clicks, click-through rate, products added to cart, conversion rate, total revenue, average order value, and revenue per impression. Compare recommenders side-by-side to identify top performers. Learn about Smart Recommenders

Yes, segment all metrics by desktop, tablet, and mobile to understand how different devices perform. Many merchants discover that mobile users respond differently to recommendations and adjust their strategy accordingly.

The product performance view shows every product that appeared in widgets with metrics including impressions, clicks, click-through rate, conversions, and revenue generated. Sort by any metric to find top performers or underperformers.

Yes, all metrics include time-series data with customizable date ranges. Compare week-over-week, month-over-month, or any custom period to track trends and measure the impact of optimization changes.

Currently, Triom provides comprehensive analytics for all deployed widgets. You can manually compare performance between different widget configurations or recommenders to inform optimization decisions.

Most merchants see actionable insights within 7-14 days of deployment. Higher-traffic stores accumulate statistically significant data faster, while lower-traffic stores may need 3-4 weeks for confident optimization decisions.