Case studies
Four sellers, and what actually changed
Each of these leads with the problem rather than the product, because the problem is the part you can recognise. The numbers are the ones the seller measured, not ones we modelled.
4
sellers profiled
3
sectors
700–4,100
orders per month
Measured
not modelled
Northwind Goods
Home & living · 6 channels · 2,400 orders/month
The problem
Six sales channels, each reconciled by hand at month end. Two full days of work, and a persistent suspicion that the consolidated figure was wrong.
What they did
Connected all six channels, imported 24 months of history, and moved settlement reconciliation onto per-payout matching. Fulfilment rules replaced a manual routing spreadsheet.
“We had been scaling the wrong channel for two years. Not because we were careless, but because nobody had ever subtracted the fees properly.”
Results
−16 hrs
monthly reconciliation time
3rd
true rank of their 'best' channel after fees
−31%
oversells in the first quarter
Aurora Home
D2C lighting · 1 storefront · 4,100 orders/month
The problem
Paid social reported strong ROAS, but the bank balance disagreed. Returns and shipping were never subtracted from campaign performance.
What they did
Attribution moved to order-based, with returns, shipping and COGS attached per campaign. Return reason codes were made mandatory at the point of request.
“Nothing about our spend changed for the first two months. We just stopped putting money behind the products that were quietly losing it.”
Results
4.1× → 1.6×
corrected ROAS on the top campaign
−44%
return rate on the reworked listing
+22%
contribution margin, same ad spend
Weber Group
Multi-brand retail · 5 stores · 3 currencies
The problem
Five stores in three currencies, five dashboards, and a month-end merge that took two days and produced a number nobody fully trusted.
What they did
Each store became a record with its own currency, tax and fulfilment rules, reporting into one consolidated model with historical exchange rates.
“The consolidation was the obvious win. The one I did not expect was being able to rank the stores honestly for the first time.”
Results
2 days → 20 min
month-end consolidation
1
definition of margin across all stores
5
stores comparable on one screen
Kettle & Co
Kitchenware · 1 storefront · 700 orders/month
The problem
A single Shopify store run alongside a stock spreadsheet that was recalculated by hand every Monday and wrong by Wednesday.
What they did
Inventory moved to a ledger, with reorder points calculated from actual sell-through and lead times per supplier.
“I stopped keeping the spreadsheet in week two. That was about six hours a month I had been spending on being confidently wrong.”
Results
−6 hrs
monthly stock admin
0
oversells since the second month
−18%
capital held in slow-moving stock
A note on these numbers
Why there are only four
Every figure here was measured by the seller in their own reporting, over at least one full quarter. We would rather publish four we can stand behind than twenty we cannot. If you want to speak to any of them directly, ask — they have agreed to it.
Want to see whether your numbers move?
Start a 14-day trial, connect one channel, and compare a month against your current reporting.