Repeat customer picture

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

Give me a repeat customer picture for month-to-date vs the same period last year. Pull repeat customer volume (orders + customers), repeat customer sales, repeat customer AOV, and gross profit per repeat customer order from the store overview. Show the directional change vs LY and vs target.

Layer in 12-month LTV data to understand whether repeat customers are coming back faster or slower than they were a year ago — and whether the repeat fundamentals are improving or whether you're just harvesting older cohorts that won't repeat at the same rate.

If Klaviyo is connected and the data looks complete, use flow and campaign performance to identify which retention engine is driving the repeat sales — and where there are gaps. If Klaviyo data has obvious gaps or isn't connected, skip it entirely and don't mention it.

Cross-reference the products page to identify which products are driving repeat orders — these are your retention products and should be considered separately from acquisition products.

At the bottom of your answer, render an inline visual summary: KPI cards for repeat customer sales, repeat AOV, gross profit per repeat order, and 12-month repeat rate (each with vs LY and vs target). Add a chart of repeat customer revenue over time. Place text commentary alongside the visuals. Use the Spend Advisor tool to surface what to explore next.