RecoMelon analytics and reporting (InsightCore™)

What InsightCore™ is designed to answer

Recommendation impressions and clicks are useful, but they do not explain whether discovery contributes to a valuable shopping journey. InsightCore™ connects engagement with wider product exploration and commercial outcomes.

Core measurement layers

• Exposure: where and how often a RecoMelon experience is shown.
• Engagement: clicks, product exploration and interaction with discovery controls.
• Decision signals: interactions such as Dealbreaker™ refinement that reveal shopper preferences.
• Commercial outcomes: influenced orders, conversion behaviour and AOV.

What does 'influenced' mean?

An influenced outcome identifies an order or journey in which a shopper interacted with RecoMelon before conversion. It should be treated as an attribution lens for understanding contribution rather than automatically interpreted as the same thing as incremental causality.

How to compare performance

Review RecoMelon metrics against a relevant baseline or controlled test where possible. Compare like-for-like traffic windows and account for seasonality, promotions and catalogue changes.

What to analyse by surface

Shop Similar, Reveal™, Bundles™, LiveGrid™, The Index™ and recovery experiences solve different problems. Evaluate each against its intended outcome rather than expecting one KPI to describe every surface.

How Dealbreaker™ data adds context

Filter interactions can show which attributes shoppers repeatedly change, creating merchandising intelligence that goes beyond revenue reporting.

Using InsightCore™ operationally

Use reporting to review placement, recommendation quality, category behaviour and AOV opportunities on a recurring basis, then feed those observations back into merchandising and experience configuration.