Customer LTV Analytics

Customer LTV analysis for
operators & marketers

Lifetime value, repeat purchase rate, revenue per customer, and time-to-repurchase, exact from any orders or transactions export. No SQL.

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Free plan · 100 credits/mo · No SQL required

Every Customer LTV KPI, computed automatically

Upload your data once. Analyst's AI analyst engine computes the full customer ltv metric suite, no formulas, no SQL, no analyst required.

Customer LTV

(revenue − COGS − fees) / unique customers

Repeat purchase rate

customers with >1 order / total customers

Revenue per customer

total revenue / unique customers

Second-order rate

customers with ≥2 orders / total customers

Median time to repurchase

median gap between first and second order, in days

COMPUTED OUTPUT
Net revenue · 180 days
$5.20M
= Σ gross_amount − refunds · 24,623 orders
Gross margin
53.8%
= (rev − cogs) / rev
Repeat order rate
23.4%
= repeat orders / orders
Verified
Σ gross_amount over 24,623 orders = $5.20M
df["gross_amount"].sum()$5.20M
SOURCE cascade_orders.csvORDERS 24,623ENGINE PYTHON · IN-BROWSER

Stop spending your week in Excel

Analyst handles the repetitive analysis so you can focus on decisions.

LTV lives in a guess, not a number

Can't see what share of customers ever buy twice

No view of how long repurchase takes

Revenue-per-customer recomputed by hand each quarter

Ask Analyst anything

Just type, no SQL, no formulas. Ask Analyst anything about your clients:

Compute customer LTV, repeat rate and revenue per customer

What's the median time between first and second order?

Show second-order rate by acquisition month

Rank customers by lifetime contribution margin

Three steps to customer ltv insights

01

Upload your data

CSV, Excel, PDF, or connect your customer ltv platform directly. CSV up to 250MB per file.

02

AI does the analysis

The Analyst computes every relevant KPI, flags risks, and generates charts in under 60 seconds.

03

Get shareable insights

Download PDFs, share dashboards, embed charts, schedule re-runs. Built for execs and teams.

$15/month. No analyst required.

Pro plan = unlimited datasets, all AI models, scheduled re-runs, advanced connectors.

See full pricing

Customer LTV analytics. FAQ

What columns do I need for LTV?

A row per order with a date, an amount, and a customer id. Add cost/COGS and fee columns to get margin-based LTV instead of revenue-based. Analyst auto-detects the columns.

Is LTV computed exactly?

Yes, it's a deterministic calculation over your rows with the formula shown next to the number, not an AI estimate. Every figure is verifiable.

Does this work for SaaS too?

It works for any repeat-purchase data. For recurring subscriptions, the churn & retention analysis page is a better fit; for transactional orders, use this one.

How much does it cost?

Free to start (100 credits/mo, no card). Paid plans start at $15/mo.