Product page conversion analysis

Use the StoreHero MCP to do the following analysis. Always anchor the answer in real StoreHero data, not platform-reported metrics.

Run a product page conversion analysis for the last 30 days. Pull the website analytics page from StoreHero with product-level performance — sessions, add-to-cart rate, conversion rate, revenue, and gross profit per order — for each product page.

Find product pages with high traffic but underperforming conversion. Specifically look for two failure patterns and treat them differently:

1. High sessions, low add-to-cart rate — typically signals a product page problem. The visitor was interested enough to land on the page but didn't put it in the cart. Likely causes: weak imagery, poor product description, missing reviews, lack of trust signals, sizing/fit concerns, unclear value proposition. Recommend a creative or content-led fix.

2. High sessions, healthy add-to-cart rate, but low overall conversion rate — typically signals a pricing or delivery/checkout issue. The visitor wanted the product but bailed before completing. Likely causes: shipping cost surprise, delivery time too slow, payment options limited, perceived total cost too high, returns policy unclear. Recommend a commercial or checkout fix.

Filter out low-volume noise — apply a minimum session threshold (suggest 200 sessions or 1% of total product page traffic, whichever is lower) before flagging a product as a problem.

Cross-reference each flagged product against StoreHero product profitability data. A product with poor conversion that's also low-margin is a deprioritise candidate; a product with poor conversion but strong margin and good repeat purchase rate is a high-priority fix because every percentage point of CR recovered drops to the bottom line.

For each product flagged, give a specific recommendation labelled either "Page-level fix" or "Commercial fix".

At the bottom of your answer, render an inline visual summary: a scatter plot of product pages with sessions on the x-axis, conversion rate on the y-axis, and dot size = gross profit per order. Highlight outliers (high traffic, low CR, high margin) with traffic-light colour. Add KPI cards for biggest revenue-recovery opportunity, biggest margin-recovery opportunity, and the median product page CR. Place text commentary alongside the visuals. Use the Spend Advisor tool to suggest what to explore next.