Lifetime value report

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

Give me a lifetime value report. Use the LTV page and the LTV by first purchase page in the StoreHero connector.

Show the customer profitability picture across the trial months after first purchase — month 1, month 3, month 6, month 12. Pull gross profit per customer, repeat order rate, and cumulative LTV at each milestone. Compare the brand's curve to the StoreHero benchmark for their industry and revenue band.

Place the brand on the curve: are they best-in-class, average, or trailing for their category? Be honest — don't soften it.

For each underperforming milestone, give a specific action to close the gap: (1) post-purchase product recommendation strategy if month 1–3 is weak, (2) replenishment cadence improvements if month 6 is weak, (3) win-back automation and category expansion if month 12 is weak.

If Klaviyo flow data is connected and complete, layer in flow-level performance to identify which retention flows are pulling weight and which are gaps. If the Klaviyo data has obvious holes, missing flows, or doesn't align with the orders data, skip it entirely and don't reference it — don't half-use incomplete data.

End with: where the biggest LTV unlock is, what a 10% improvement to month-12 LTV would mean for nCAC headroom and ad scaling capacity.

At the bottom of your answer, render an inline visual summary: a line chart of cumulative profit LTV over 12 months with the brand's curve and the benchmark curve overlaid, plus KPI cards for current 12-month LTV, vs benchmark gap, and projected uplift if best-practice actions are taken. Place text commentary alongside the visuals. Use the Spend Advisor tool to suggest what to explore next.