05 · Customer LTV
Repeat-purchase math, not a vanity LTV number.
Cohort-based lifetime value with month-by-month retention, repurchase rate, and LTV:CAC by acquisition month. The same view enterprise analytics tools gate at $500/mo — included on every plan.
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Capabilities
What this gives you.
Customers acquired in January are tracked separately from February's. Their cumulative LTV at month-since-acquisition is shown side-by-side — so you see whether cohorts are improving or compressing.
Not just first-order AOV. Each cell shows what an average customer from that cohort has spent through that month-since-acquisition.
What fraction of customers acquired in March came back? Surfaced directly alongside the cohort table, not buried in a separate report.
Match your ad spend during a month to the customers that month produced. The ratio tells you which acquisition windows actually paid back.
Uses the customer’s Shopify ID across all orders — so guest-checkout-then-account-later doesn’t artificially deflate retention.
Supplement, skincare, coffee, pet, candle, replenishable categories — the math is calibrated for businesses where the second order matters more than the first.
How it works
Three steps to live data.
It populates from your full Shopify order history — no waiting for new data to collect.
Rows are months of first purchase. Columns are months since acquisition. Cells are cumulative $/customer.
Is your most recent acquisition cohort outperforming last quarter’s at the same month-since-acquisition? If yes, your unit economics are improving.
Why it matters
First-order margin is a lie if customers don’t come back. A $42 AOV with 38% margin looks great until you realize 78% of customers never reorder. Cohort LTV tells you the truth about whether your $14 CAC is actually paying for itself — and whether the cohort you acquired last month is going to be more or less valuable than the one before.
Comparing tools
How NeoProfit handles this vs. everyone else.
- Single 'returning customer rate' number
- No cohort breakdown
- No LTV:CAC ratio
- Doesn't account for time-since-acquisition
- Can't compare this month's cohort vs last month's
- Cohort table by acquisition month
- Cumulative LTV per cohort per month-since
- LTV:CAC per cohort using actual ad spend
- Repurchase rate surfaced alongside
- Spot cohorts that are improving or compressing
See how this stacks up against dedicated LTV tools in our vs Lifetimely comparison, or read why DTC brands specifically need cohort math (not aggregate LTV).
Try customer ltv on your store.
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