Revenue analytics
Analyze revenue by event, time, product, and payment method.
About 10 minScreenshots use the English app and browser tools with English demo data. Follow the numbered steps and use your own product details when you are ready. Click any screenshot to enlarge it.
Review today's dashboard
The dashboard shows today's revenue, orders, stock alerts, recent orders, and events. Read each card's time scope before comparing. Revenue trends compare events; use History for detailed review. Advanced analytics depend on your plan.
Read today's summary
Open Dashboard in the sidebar and check revenue, order count, and products needing restock. The screenshot uses demo data.
Read today's summary Open events and recent orders
Use Manage event on an event card, inspect recent orders, or choose Quick sale to take an order.
Restock from an alert
Open Quick restock, select the low-stock item, enter real added quantity and note, check the resulting stock, and confirm. Alerts recalculate afterward.
Analyze products and author attribution
Set event and date scope before choosing product, bundle, or tag dimensions. Paid quantities, gifts, refunds, and receipts are separate. Tag/author analysis splits bundles into components by ratio and allocates receipts by product value. Multiple authors retain joint attribution; do not count the joint total once per author.
Set the analysis scope
Open Analytics in the sidebar. Select the event and date range, then use Overview or Breakdowns to review the results.
Set the analysis scope Compare products and bundles
Choose products or bundles as the dimension. Review orders, paid/gift units, refunds, revenue, and share. These dimensions count directly purchased order lines.
Analyze authors and other tags
Choose creator, IP, technique, material, or another existing category. Review attribution. Investigate unknown/unattributed products and tags in Products.
Analyze authors and other tags Inspect related orders
Use a ranking row's right arrow to open related orders. The sample UI Test Creator shows the selected creator, count, and bundle-component scope. Inspect highlighted matches within the full order context.
Inspect related orders
Payment analysis, daily totals, and sales matrix
Payment analysis compares methods, the matrix crosses orders and products, and daily settlement separates paid, gifted, and returned units. Sales tax is separate from net sales; tax-inclusive receipts and gift quantities should not be treated as net product revenue.
Reconcile payment methods
Choose payment analysis in Revenue analysis, retain the same event/date filters, and compare each method against actual receipts.
Read daily settlement
Open settlement statistics from event details or POS → More. Use previous day, next day, or today; check net sales, tax, total receipts, paid units, gifts, and returns.
Read the sales matrix
Open the event's sales matrix. Review order, time, pickup code, and product columns, scroll horizontally, and check totals for net sales, discounts, tax, and paid amount.
Export the review
Export data for the current scope, or export the matrix alone. Files follow effective event/date/filter conditions. See CSV export for formats and calculation rules.
Compare revenue and profit consistently
Net revenue, product cost, fulfillment cost, and gross profit differ. Check missing production costs and sample expenses, and include online fulfillment costs. Booth/travel expenses require your own external records; there is no event-expense form. Do not mix different actual currencies just because symbols were changed.
Fill cost gaps
Fill missing production batches under product Costs and profit, then record actual shipping costs through order scenario/cost editing.
Use matching scopes
Compare the same dates, order states, gift and refund filters. Note whether direct items or bundle components are counted.
Reconcile external expenses
Reconcile exported receipts with payment services, record event expenses separately in your review sheet, and trace discrepancies back to orders.