Revenue Analytics
Avoiding double-counted revenue across channels
When several platforms claim credit for one order, adding their reported revenue can exceed the store's actual sales.
Desk
Focuses on revenue and margin analytics, product performance, promotions and demand and stock analysis.
Revenue Analytics
When several platforms claim credit for one order, adding their reported revenue can exceed the store's actual sales.
Revenue Analytics
Read store revenue and margin together by defining eligible orders, discounts, reversals, cost coverage and reporting dates.
Funnel Analysis
Estimate whether a discounted product displaced nearby items by comparing product and group outcomes against a stated baseline.
Revenue Analytics
Screen high-selling products for weak margin using comparable retained sales, dollar profit, cost coverage and adjustment dates.
Revenue Analytics
Understand how gross product sales become net sales, with checks for discounts, reversals, tax, delivery, order status and dates.
Revenue Analytics
Reconcile sale-event orders, discounts, returns and costs without double-counting orders or treating an early result as final.
Revenue Analytics
Define and count observed unavailable-variant actions while keeping later purchases and unobserved demand separate from lost sales.
Revenue Analytics
Calculate contribution from retained product sales, product cost and other variable costs while showing return treatment and missing-cost coverage.
Revenue Analytics
Separate observed customer value from forecasts, label scenario ranges correctly and assess estimates against later outcomes.
Revenue Analytics
Set a monthly ecommerce finance handoff: agree the basis, preserve extracts, explain differences and record sign-off.
Revenue Analytics
Read variant orders alongside orderable time and saleable stock before making replenishment, transfer or range decisions.