Product Profit Briefing

Where SKU-level margin may be leaking

An indicative briefing for ecommerce operators. We review your sales exports, product costs and contribution assumptions, then surface the SKUs and signals worth a closer look.

Indicative briefing. Not customs, tax or legal advice. Findings should be verified before acting.

What it reviews

Sales, costs and operating assumptions in one view

Revenue lives in your ecommerce platform. Costs live in spreadsheets, product files and fulfilment assumptions. The briefing brings them together so SKU-level margin signals become visible.

What you'll need

The inputs that make the briefing useful

  • Ecommerce sales exports (Shopify supported today)
  • Product and SKU data
  • COGS or product cost sheets
  • Landed cost where available
  • Discounts and refunds
  • Payment fee, packaging, pick/pack, outbound shipping and return handling assumptions

Defaults are clearly labelled. You stay in control of every assumption used.

What the briefing shows

Signals, not certainties

01 — Cost coverage

SKU-to-cost matching surfaces missing, conflicting or unmapped costs before any profit number is calculated.

02 — Gross product profit

Calculated from order lines, matched product costs, discounts and refunds — kept separate from operating assumptions.

03 — Contribution profit

Your configured operating assumptions applied on top, with weak or negative-contribution SKUs flagged for review.

Figures are indicative and based on the data you upload and the assumptions you configure. Confidence notes appear alongside material findings.

Who it is for

Physical-product ecommerce brands

  • Ecommerce brands using platform exports and spreadsheets
  • Australian ecommerce operators
  • Import-led product businesses
  • Brands managing 20 to 500 SKUs
  • Operators whose sales are growing but profit feels thinner than expected
  • Teams using spreadsheets for COGS and product costs
Boundaries

Begin a Product Profit Briefing

Indicative findings, grounded in your uploaded data and configured assumptions.

MarginMiningIndicative commercial briefings for product businesses.© 2026