Pricing
Monthly. Cancel anytime. No trial account.
Instead of a trial, the widgets on this site run the real analysis on synthetic data — so you can judge the product before you pay, and get your own numbers on day one after you do.
Core
$59/mo
One store, the full decomposition toolkit.
- 1 store
- 13 months history
- Waterfall decomposition
- Segment discovery
- Cohort retention
- 2 seats
Growth
Most chosen$179/mo
Margin, LTV and scenarios on up to three stores.
- 3 stores
- 36 months history
- Everything in Core
- Contribution margin
- LTV & payback
- Scenario modelling
- 6 seats
Portfolio
$449/mo
For agencies and multi-brand operators.
- 15 stores
- Full store history
- Everything in Growth
- Discount analysis
- API access
- Unlimited seats
Already using KPI Atlas? Add Prism for $99/mo.
Same decomposition, inside the reporting you already send clients.
Compare
What's in each plan
| Feature | Core | Growth | Portfolio |
|---|---|---|---|
| Stores | 1 | 3 | 15 |
| History depth | 13 months | 36 months | Full history |
| Waterfall decomposition | |||
| Segment discovery | |||
| Cohort retention | |||
| Contribution margin | |||
| LTV & payback | |||
| Scenario modelling | |||
| Discount & cannibalisation | |||
| Seats | 2 | 6 | Unlimited |
| API access | |||
| Support | Email, 1 day | Priority, shared channel |
Data requirements
Before you subscribe
- Segment discovery needs roughly 500 orders a month to produce stable results.
- Cohort retention needs at least four completed months of order history.
- Margin, LTV and payback require per-product COGS and shipping costs from you.
- Ad spend connections are required for payback by channel.
Billing terms
How billing works
- Billed monthly in advance. Cancel any time; access runs to the end of the paid month.
- No annual contracts, no setup fees, no usage overages.
- Plan changes take effect immediately and are prorated.
- Prices in USD, excluding any local sales tax or VAT.
Pick a plan and connect your first store.
Monthly, cancel anytime. Talk to us first if you're unsure about data volume.