Reading Your Own Seasonal Pattern

Compare the same weeks or months across prior seasons, then the preceding period. Orders show demand volume; ORVX’s realized revenue counts delivered orders only, excluding returns and cancellations. Revenue can hide weakness: gross profit uses product costs, margin shows retained share, and contribution after advertising tests paid-demand economics. Reconcile cash separately against payout, refund, supplier-payment and ad-invoice timing.

What each seasonal measure tells you
MeasureCalculation or sourceRight decision
OrdersCount delivered and other order statuses consistentlyAssess demand volume and operational load
Realized revenueDelivered-order revenue less excluded cancellations and returnsCompare sales that actually remained revenue
Gross profitRealized revenue minus product costEvaluate assortment and cost economics
Cash timingPayouts, refunds, supplier payments and ad invoices by dateCheck whether the season can fund its obligations

Build a Calendar From Past Demand

Turn the history into three date types: the selling window, the purchasing deadline and the campaign date. Use delivered-order demand rather than placed orders if cancellations or returns materially distort the picture. ORVX calculates realized revenue from delivered orders only, so the calendar can be based on revenue that actually remained with the store.

For each collection, mark the first sustained increase, the highest-demand weeks and the point where demand falls back. Work backward from that window by the supplier and inbound lead time to set a purchasing deadline. Then mark the campaign, email, launch or promotion date that preceded the increase. A campaign date explains when attention was created; the selling window tells you when customers bought; the purchasing deadline tells you when a stock decision must be made.

Use each date for a different action:

• Selling window: schedule launches and merchandising around proven demand, while checking product and collection profitability, not revenue alone. • Purchasing deadline: review inventory position, remaining stock value and dead stock before committing cash. • Campaign date: compare spend with store revenue using MER, and use attributed ROAS when judging the tracked advertising channel.

Worked example with sample numbers

This example is illustrative. It uses sample numbers for a women's fashion store selling in the US. They are made up to show the method, they are not a benchmark, and your own figures will differ.

Formula: Stock to fund = forecast orders x cost of goods per order.

Sample numbers: a quiet month against two busier ones
Month typeOrdersStock cost to fundMargin earned
Quiet175$3642.52$3886.27
Busy280$5828.04$6218.04
Peak420$8742.06$9327.06

Run the same sum with your own numbers in the free calculator, or browse guides for sellers in the US and more women's fashion guides.

General information only: tax, duty and import rules change and depend on your situation, so check with an accountant or the official source before acting.

Eligible Shopify stores can see these numbers for their own store through the Founding 10,000 offer.

Planning Stock Before the Peak

Before the peak, compare four measures for each style and size: unit demand, sell-through, margin and supplier timing. Unit demand shows how many units sold; sell-through shows how much of the available stock moved. If 62 of 100 units sold, sell-through is 62%. A high unit count with low sell-through can reflect overbuying, while a high sell-through with frequent stockouts may justify checking reorder timing rather than simply ordering more.

Use margin and contribution after advertising to protect profitable demand. For illustration only, 50 sales at a $40 gross profit produce $2,000 before advertising; if ads cost $600, contribution is $1,400. Compare that with a style selling 80 units but contributing less per unit. Reorder when demand and sell-through are strong, the margin remains acceptable, and the supplier can deliver before the selling window. Protect limited stock for strong economics when replenishment is slow. Clear stock when sell-through is weak, remaining stock value is material, or further holding would tie up cash. ORVX reports product profitability, dead stock and remaining stock value; pair those figures with supplier lead times and your inventory reorder calculation.

Ad Budgets Across the Year

Before peak, set an acquisition ceiling from expected contribution after advertising, not revenue or attributed ROAS alone. Check whether conversion activity is rising, then test it against available units and cash commitments: supplier balances, planned receipts, ad invoices, payroll and expected refunds. Strong conversion can still be unsafe if likely-to-sell products are short or cash committed elsewhere.

During peak, compare measures: conversion rate and order volume show whether traffic produces demand; contribution after advertising whether it is profitable. Inventory availability determines whether scaling can continue without selling through priority sizes. MER compares total store revenue with total ad spend; attributed ROAS describes platform-credited revenue. Use both, not as profit. ORVX reports contribution after advertising by product and collection, with inventory position and remaining stock value.

After peak, reduce spend where conversion activity has faded, contribution is weak or stock unavailable. Continue selectively where remaining inventory has adequate contribution and cash exposure is manageable. Review dead stock separately: advertising may create orders but should not conceal poor product economics or funding obligations for unsold units.

How to Read the Worked Example

Read the worked example in sequence, keeping profit and cash separate. Start with stock purchases: they are a cash outflow and create inventory, but they are not all a cost of the units sold in that period. Then follow sales receipts, using delivered sales as realized revenue rather than treating cancelled or returned orders as revenue.

Next, compare revenue with the cost of the products sold. That difference is gross profit, which shows whether the merchandise economics work before advertising. Subtract ad spend to see contribution after advertising; this is the measure to use when deciding whether a product or collection can support acquisition spend.

Finally, trace the cash movement: receipts add cash, while stock purchases and advertising remove it. Cash can fall while gross profit is positive if inventory is bought ahead of demand, and cash can rise while profitability is weak if sales are collected before costs are paid. Use gross profit to assess product economics, contribution after advertising to assess marketing efficiency, and cash movement to judge funding pressure and purchasing capacity.

What to Review After the Peak

Close the season by comparing the forecast with actual delivered orders, not cancelled or returned orders. The variance shows whether the problem was demand, timing, or assumptions: revise the next period’s demand input when volume missed, but change campaign dates or buying deadlines when demand arrived later than expected.

Then review the decision measures separately:

  • Stock left shows what cash is still tied up. Mark slow sizes for markdown, a later-season campaign, or no further purchase; compare remaining units with their recoverable value, not original cost.
  • Margin shows whether sales created profit after product cost and returns. If revenue grew while margin fell, review pricing, discounting, product mix, or supplier cost before repeating the promotion.
  • Advertising return should be read through both attributed ROAS and MER. Use ROAS to assess tracked campaign efficiency; use MER to judge total advertising against store revenue and decide whether to scale, reduce, or investigate attribution.
  • Cash timing is separate from profit: map supplier payments, ad charges, customer receipts, refunds, and remaining stock value by date. A profitable peak can still create a funding gap, requiring earlier cash planning rather than a larger next-season budget.

A useful seasonal plan connects three decisions: how much stock to commit, when cash will leave and return, and which advertising spend the available margin can support. Review those decisions against your own order history after every peak, then carry the findings into the next purchasing and campaign calendar.

Sources

How this page was made: drafted with AI from a brief, then checked by automated rules for arithmetic, sources and duplication. The sample numbers were calculated, not reported.