What a Profit Autopsy looks like
The exact analytics engine and report logic, run on a fictional 47-SKU catalogue over ~5 months (the same sample you can load on the upload page). Every number and recommendation below was computed, not written. Your report has the same structure — on your data.
Diagnosis
Value ReadyPrice correction is your biggest recoverable opportunity.
19 SKUs are priced below the net price required to reach your 20% target margin after cost and fees — that's where £7,271 of recoverable profit is concentrated.
First move: Start with the top 19 SKUs, which account for £2,525 of the opportunity. Raise each toward its required net price.
How to read this: Every report opens with one plain-English verdict: the biggest problem, why it matters in money, and what to do first — before any tables.
Recoverable opportunity
- Conservative (value gate)
- £7,271
- Expected (your inputs)
- £7,271
- Upside (directional)
- £9,695
capped assumptions, de-duplicated, 0.75 haircut
report assumptions, 0.75 haircut
no haircut — best case, never the gate
How to read this: Before you pay anything, the conservative figure must clear the value threshold — if it doesn't, we tell you instead of selling you the report. These are estimates from your file, not guaranteed recovered profit.
If you apply the price corrections
How to read this: Projection assumes corrected prices hold at the conservative volume. Not guaranteed — but every input behind it is shown below.
Where the money goes
- Gross sales£196,606
- Discounts− £638
- Refunds− £756
- Net sales£195,212
- Cost of goods− £111,033
- Marketplace fees− £24,351
- Shipping− £8,743
- Contribution profit£51,085
How to read this: Gross to contribution, step by step: discounts, refunds, cost of goods, marketplace fees, shipping. This is where "we're profitable on revenue" goes to die — and where each leak below comes from.
Profit leaks, segment by segment
Every segment the engine can detect, with real example SKUs from this sample. Your report shows every affected SKU in each segment.
- Underpriced vs required net price19 SKUs · £7,271 recoverable
Current net price is below the price required to reach the target margin after cost and fees.
Do: Raise net price toward the required net price, starting with the highest-value SKUs.
- LS-03£11.40 → £16.67£573
- LS-02£11.40 → £16.67£521
- UP-03£11.04 → £12.50£481
- Loss-making SKUs3 SKUs · £474 loss to stop
These SKUs sell below break-even after cost, fees, and shipping.
Do: Reprice above break-even or stop selling.
- LS-03£173
- LS-02£158
- LS-01£142
- Low margin but positive contribution1 SKU · £619 contribution at stake
Contribution margin is positive but below the 20% target.
Do: Review cost inputs and consider modest price increases.
- RF-01£3,125
- SKUs missing cost data3 SKUs · £3,876 net sales unverified
No unit cost was found for these SKUs, so their margin and contribution EXCLUDE product cost and are overstated.
Do: Add unit costs via the cost fallback file, then re-run the analysis.
- NC-03£1,428
- NC-02£1,272
- NC-01£1,176
- Selling but out of stock1 SKU · £394 sales at risk (30d, est.)
These SKUs were selling in the analysed window but show zero stock — every day out of stock loses contribution.
Do: Restock the fastest movers first; the estimate is contribution at risk over the next 30 days (Low confidence).
- SO-01£394
- Slow-moving stock (cash, not profit)2 SKUs · £2,870 cash at risk
Stock cover exceeds 180 days at the observed sales rate — cash is sitting in inventory.
Do: Consider clearance pricing, bundles, or halting reorders. The figure is trapped CASH, not recoverable profit.
- SM-02£1,470
- SM-01£1,400
- Fee leakage2 SKUs · £1,457 above baseline
Fee leakage is above the within-file baseline on these SKUs (no external benchmark).
Do: Review the higher-burden SKUs/channels.
- FB-02£766
- FB-01£691
- Shipping leakage2 SKUs · £1,288 above baseline
Shipping leakage is above the within-file baseline on these SKUs (no external benchmark).
Do: Review the higher-burden SKUs/channels.
- SH-02£678
- SH-01£610
- Refund / return leakage2 SKUs · £756 refunds
Refunds reduce net sales on these SKUs.
Do: Investigate return drivers (sizing, quality, listing accuracy).
- RF-01£378
- RF-02£378
How to read this: One SKU can leak several ways; the recoverable total counts only each SKU's single biggest opportunity, so nothing is double-counted. Cash figures (stock) are kept strictly separate from profit figures.
Stock & cash at risk
£4,570
cash trapped in slow-moving and dead stock
- DS-01 no sales in the window£980 trapped
- DS-02 no sales in the window£720 trapped
How to read this: From your optional stock file: out-of-stock bestsellers (lost sales), 180-day-plus slow movers, and dead stock that never sold. Cash, never added to the profit headline.
Profit by channel and customer group
| Group | Net sales | Contribution | Margin |
|---|---|---|---|
| Online (Channel) | £146,537 | £38,197 | 26.1% |
| Retail (Channel) | £38,341 | £12,751 | 33.3% |
| B2B (Channel) | £10,334 | £137 | 1.3% |
| Retail (Customer group) | £38,341 | £12,751 | 33.3% |
| Wholesale (Customer group) | £10,334 | £137 | 1.3% |
How to read this: The same contribution economics, sliced by sales channel and (via the optional customer/channel file) by customer group — this is where B2B discounts and channel fees get exposed.
Your action plan
Next 7 days
- 1. Raise prices on your top 5 underpriced SKUs. UP-03: £11.04 → £12.50 · UP-07: £11.04 → £12.50 · UP-02: £11.04 → £12.50 · UP-06: £11.04 → £12.50 · UP-10: £11.04 → £12.50
- 2. Apply the changes with the price-update CSV. Download the price-update file below — it lists every corrected SKU with its current and required net price.
- 3. Pause or reprice 3 loss-making SKUs. Start with LS-03, LS-02, LS-01 — each sells below break-even today.
Next 30 days
- 1. Add unit costs for 3 SKUs. These SKUs have no cost data, so their profit is overstated and they are excluded from opportunity analysis. Use the cost fallback template.
- 2. Review 1 low-margin SKU. Positive but below your target margin — check cost inputs, then apply modest increases where the market allows.
- 3. Investigate return drivers on 2 SKUs. Refunds are reducing net sales on these SKUs — review sizing, listing accuracy, and product quality.
- 4. Re-run your autopsy. After applying changes, upload a fresh export to measure the before/after and catch new leaks.
How to read this: The report ends in instructions, not charts: exact price moves with a ready-to-upload price-update CSV for week one, then data and margin hygiene for the month.
Assumptions, in plain language
- Target profit margin20%default
- Expected discounting0.3%from your data
- Forward sales volume14,931 unitsfrom your data
- Conservatism factorkeep 75% of calculated gains
How to read this: Nothing is invented: every assumption shows its source (your data, a stated default, or a fixed conservatism factor), and you can adjust them — the unlock decision always uses the capped, conservative values.
This sample at a glance
- Net sales
- £195,212
- Contribution profit
- £51,085
- Margin
- 26.2%
- SKUs analysed
- 47
Run this on your own catalogue
Upload your Amazon, eBay or Shopify export — no marketplace login, no API keys. The preview and the conservative opportunity figure are free.
Sample data is a fictional catalogue. Opportunity figures are conservative, de-duplicated, and not guaranteed recovered profit.