Whether a quiet customer is a risk depends on their own rhythm, not the store average. A monthly buyer gone ten weeks flags High while a twice-yearly buyer at the same gap stays Low.
Built by a WooCommerce operator who needed it themselves.
Every number here comes from an order, not from anything typed in by hand.
With hundreds of buyers on the list, the lapsed ones worth a call are hard to pick out. Tick High in the Churn filter and only customers overdue against their own buying rhythm remain. Add a Lifetime Value range and the shortlist narrows to the ones who have spent the most. Save it as a view and next week's list is one click away.
Change the email on an account and its earlier orders could look like they belong to a stranger. Here they don't: every order placed through the account stays with it. A guest order on the account's own email joins it too. The spend total covers all of them.
Store-wide sales reports say plenty about what sells overall, nothing about what one customer takes. The Product Metrics chart on their profile shows a bar per product, sized by quantity purchased. Each bar carries the product name and SKU. Hovering any bar gives the number bought.
Answering what one customer is worth today means adding figures up by hand. Their profile carries Paid Orders, Lifetime Value, Avg Order Value, Purchase Frequency, Last Purchased, Churn Risk, and Top Product. One page holds the answer, ready before the next call.
Order History runs order by order, a fresh row for every order a customer has placed. Each row carries the order number, date, status, channel, and quantity. Cost of goods, total, gross profit, and gross margin end the row, worked out the same way as the Orders list. A sort by margin puts a customer's best and worst orders at either end.
Settle who deserves attention, chosen from every customer the store has ever had.
Set text searches for username, name, or email alongside numeric ranges for paid orders, lifetime value, or average order value, then apply them from the Filters panel. Every active field narrows the list at once, leaving only rows that match every condition.
Apply a filter and the four tiles recompute with the list, showing average order value, average spend per customer, repeat customer rate, and how often the group buys. Type a name to save the combination as a view, and it returns automatically on the next visit.
Open a customer's name and four cards arrive: Customer Information, seven Purchasing Metrics tiles, a Product Metrics chart, and the full Order History. Purchasing Metrics and Product Metrics keep their own date range each, while Order History ignores both and covers every order regardless.
Profit counts costed lines only, and a part-costed order says so: "Costs cover 7 of 10 items."
Spot a customer whose big revenue turns into a middling spend once refunds are subtracted.
Average lifetime value, repeat customer rate, and order value are all worked out on customers who have paid.
Give a VA the customer list without your store totals or what each order made.
Last Purchased and Churn Risk hold to a customer's full history while every other tile follows the range.
One click exports a customer's product history, SKU, product name and quantity purchased in every row.
Churn Risk is set for the whole customer base at once, not for a shortlist somebody remembered to build. A regular who orders twelve times a year and an account that bought twice carry a band each, judged on their own record. Nobody builds the list, and nobody keeps it up to date. The flag is simply there in the row, the day the store opens the screen.
The band reads off order dates the store already has. Purchase Frequency gives the average gap in days between a customer's orders, counting orders placed within 24 hours of each other as one, and the flag compares the silence since their last order against it: inside the gap is Low, up to double is Medium, beyond double is High. New orders land, the figures move with them. A customer who comes back drops to Low on their own.
What the customer profile gives you out of the box versus what you piece together from WooCommerce reports and spreadsheets.
| Capability | Default WooCommerce | ATUM Inventory | Shelf Planner | Inventory Alpha |
|---|---|---|---|---|
| Churn flag from each buyer's own rhythm | ||||
| Average days between a buyer's orders | ||||
| Lifetime value net of refunds | ||||
| Guest and account orders on one row | ||||
| Cost, profit, and margin on every order | ||||
| Per-customer product mix, chart and CSV | ||||
| Full order history, every status | ||||
| Store totals held back from staff roles |
No data migration, no separate dashboard. Inventory Alpha installs as a standard plugin and reads your existing WooCommerce orders and products.
Have a question we didn't cover? Contact our team →
Yes. Customers appear straight away from your existing orders, with no import, and Lifetime Value, Avg Order Value, Purchase Frequency, and Churn are worked out from them. Cost, profit, and margin fill in once costs exist.
Have a question we didn't cover? Contact our team →
Stock ManagementReorder levels, costs, bulk edit
Purchase OrdersLow stock → ordered → received
DashboardThe whole business on one screen
SuppliersWho you buy from, at what cost
Movement LogWhy a stock number changed
AdjustmentsCorrect stock by hand, logged
Roles & PermissionsNone, View, or Full per feature
ReportsDrag-and-drop report builder
Sales & OrdersProfit per order, pick and pack
Sign up and the customer list is already populated from past orders. Open any name for spend net of refunds, buying rhythm, product mix, and a churn band.