Analytics & BI
Know which number moved, and what it means.
Most dashboards hand you a chart and leave the interpretation to you. Here each metric arrives with its context, each anomaly with the day and the signal that triggered it, and a plain-language write-up of where the business stands whenever you want one.
Sales reporting is on every plan · cohorts, LTV, cash-flow projection, anomalies and the board report are on Growth and above
- Day cash-flow projections
- 30/60/90
- Anomaly check on the numbers
- Daily
- LTV on every customer
- Live
- Board-style write-up
- On demand
Built from your last 90 days of trading
Revenue, order count and refund rate
With a segment label attached
Your real numbers, in plain language, kept month to month
What you get
Six answers, not sixty charts.
Each one is computed from the orders, customers and stock already in your account — there is no warehouse to load and no analytics tool to license alongside it.
Customer LTV and segments
Every customer carries a live lifetime-value figure and a segment label — high value, frequent buyer, at risk, new or VIP — so a campaign can be aimed at a group rather than the whole list.
Behavioural cohorts
Customers group into cohorts — VIP, loyal, new, at risk, lost and one-time — from order count, spend and recency. See which ones retain, and which are quietly slipping away.
Anomaly detection
Three series are scored against your own last thirty days — daily revenue, daily order count and daily refund rate. Any day more than two and a half standard deviations from your norm is flagged, so a collapse or a refund spike surfaces the next day rather than at the month-end close.
Store-wide, on daily figures — there is no per-SKU or per-channel breakdown yet.
Cash-flow projection
30, 60 and 90-day projections built from your last 90 days of revenue, expenses and balance, with seasonality and growth trajectory factored in — each with a narrative and a low, medium or high risk read.
Digests that come to you
A daily sales digest and a weekly performance summary are generated and emailed to owners and admins automatically, with the period’s revenue anomalies flagged inline.
Board-ready report
Generate a board-style summary of your last thirty days from your real numbers: an executive summary, key metrics marked good, concern or critical, three risks, three opportunities and a prioritised action list. Each one is kept, so this month reads against the last.
Reporting cadence
Two rhythms that arrive, and one you call for.
The point of reporting is not that the data exists somewhere. It is that the right summary lands in front of the right person often enough to act on — the daily and weekly ones are emailed to owners and admins without anybody logging in.
Sales digest
Yesterday in a paragraph, emailed to owners and admins, with any revenue anomaly for the day flagged in line rather than buried in a chart.
Performance summary
The week against the ones before it — what moved, what stalled, and which anomalies fired while you were busy running the shop.
Board-style report
An executive summary, metrics marked good, concern or critical, three risks, three opportunities, and what to prioritise over the next thirty days — generated when you ask for it, and kept alongside the ones before it.
Tracked from day one
The figures, without a setup project.
These are populated from your own trading as it happens. Nothing here needs a tagging plan, a data engineer or a separate BI licence to appear.
- Revenue & GMV
- Average order value
- New customers
- MRR & churned subscribers
- Customer LTV
- Predicted churn rate
- Refund rate
- Conversion funnel
- Cash-flow forecast
- Channel & campaign attribution
- Cohort retention
- At-risk stock
Run the business on numbers you can trust.
One data model means the analytics are computed from the same orders, stock and customers everything else writes to — so there is no reconciliation step before you can believe a figure.