Menu Analytics

Deep-dive into how each menu item performs. See which items get the most views, clicks, add-to-carts, and actual orders — then use that data to optimise placement, pricing, and your menu structure.

Item performance scoring

Each menu item receives a composite performance score based on weighted signals:

• Views — How many times the item appeared on screen (impression tracking).
• Detail views — How many times customers tapped/clicked to expand the item's full details.
• Add-to-cart events — How many times the item was added to a cart.
• Orders — How many completed orders included this item.

Items are ranked within their category so you can compare similar items and spot underperformers. The score weights orders most heavily, followed by add-to-carts, detail views, and impressions.

Event tracking

Menu item events are tracked with rich metadata:

• Category context — Which category the item was viewed in.
• Position in category — Where the item was positioned when viewed (helps measure the impact of reordering).
• Time spent — Milliseconds spent viewing the item detail (engagement signal).
• Hour of day — When the interaction happened (for time-of-day analysis).
• Device type — Mobile vs. desktop behaviour differences.

How to use this data

• Promote winners — Move high-scoring items to the top of their category for maximum visibility.
• Fix underperformers — Items with high views but low add-to-carts may need better images, descriptions, or price adjustments.
• Time-based strategy — Use the hour-of-day data to see which items are popular at lunch vs. dinner and consider time-based promotions.
• Margin optimisation — Cross-reference performance scores with the food cost data you entered per item to identify high-margin winners.