AI Brain for Commerce
Use case 38BustlyUpdated

Investigate traffic, conversion and revenue anomalies

Compare traffic quality with the order funnel to isolate unusual operating signals.

The context

A recent performance dip may involve broken pages, low-quality traffic or friction between adding to cart and completing checkout. The operator needs one investigation across daily sales, orders, refunds and the conversion funnel, including pages that attract clicks but do not convert.

The Bustly workflow

Bustly brings the available store and analytics signals together for the requested period, highlights unusual movements and checks for tracking inconsistencies. It produces an investigation list organized by day or market, including relevant 404 pages and funnel drop-offs, rather than drawing conclusions from a single dashboard.

A prompt to adapt

Investigate the last seven days of sales, orders, refunds, traffic, add-to-cart and checkout activity. Include 404 pages and pages with clicks but little conversion. Prioritize the anomalies and distinguish business issues from possible tracking problems.

Available actions depend on connected tools and permissions. Confirm the scope and authorization before publishing, sending messages or changing spend.

Adapted from real operating tasks. Customer identifiers and sensitive business details are omitted. The workflows are examples, not promises of business results.