Return Patterns Analysis
Return reasons mapped, root causes identified.
- Standard
- £550
- Founder Client
- £415
- Delivered
- 7 business days
This is a structured analysis of return data across up to ten SKUs — return reasons mapped, root causes identified, and a written set of recommendations split across product, listing, packaging, and operational changes. The problem it fixes is that most return data sits in a Seller Central or Shopify report nobody actually reads. Returns get tracked but not interpreted. The same product gets returned for the same reason for six months before anyone connects the pattern, by which point the SKU's profitability has been quietly destroyed. We read the data structurally — categorising every return reason, mapping it to root cause, and quantifying the cost. Methodology comes from running an Amazon portfolio where return rate was the difference between a profitable SKU and an unprofitable one. Reading returns properly was how we kept ten products in top-30 bestseller rank without burning margin on inventory churn.
- 01
Days 1–2. Return data pull and reason categorisation. Typically two to twelve months of data depending on SKU age.
- 02
Days 3–4. Root cause analysis — mapping each return reason to one of four categories (product, listing mismatch, packaging, operational).
- 03
Days 5–6. Cost quantification and written recommendations.
- 04
Day 7. Delivery and a thirty-minute walkthrough call.
Concrete deliverables, no vague promises.
- Return patterns analysis document — ten to fifteen pages, PDF or Google Doc
- SKU-by-SKU return reason map across all returns in the data window
- Root cause analysis classifying each return as product / listing mismatch / packaging / operational
- Cost quantification — what returns are costing per SKU and across the line
- Recommendations split across the four root cause categories, prioritised by financial impact
- Comparison to category-typical return rates where benchmark data is available
- Thirty-minute walkthrough call after delivery
Where this scope ends.
- Implementation of recommendations (we recommend; you implement)
- Inventory write-off or stock reconciliation work
- Customer outreach for returned-product feedback (separate scope)
- Returns process redesign or operational consulting (we identify the operational fixes; we don't redesign your fulfilment ops)
Four steps. Same every time.
- 01
Book
Pay the invoice. Slot is held the moment payment lands.
- 02
Kick-off call
15 minutes. We confirm scope, assets needed, and delivery date.
- 03
Work begins
You hand over what we asked for. We do the work in the agreed window.
- 04
Delivery + 1 revision
Files arrive on the agreed date. One round of revisions is included in the price.
First examples publishing Q3 2026.
Nadira
Nadira: [service-specific role bio — placeholder, to be written]
What people ask before booking.
How many revisions are included? What if we need more?
One revision round is included in every Engagement. Further rounds are £85 each. A revision round means a consolidated set of feedback delivered within 14 days of receiving the work — piecemeal feedback gets folded into one round.
When do we pay? What's the deposit structure?
Engagements under £500 are due on delivery. Engagements £500 and above are 50% deposit on booking, 50% on delivery. The Strategic Retainer is monthly upfront with a two-month minimum. We hold your slot the moment payment lands and start work once any deposit clears.
What if our needs are slightly outside the published service?
Custom-scope work is priced from the published Standard rate for the closest service, quoted at scoping, and confirmed in writing before we book. We don't surprise-bill for scope changes.
What if we're not happy with the work?
Tell us within 14 days of delivery. Most cases resolve with a revision. If we genuinely missed the brief, a partial refund is on the table — we'd rather acknowledge it than argue. Otherwise, fees are non-refundable for completed work.
How much return data do we need for the analysis to work?
At least three months of data per SKU, or fifty individual returns whichever comes first. Below that, the patterns are too noisy to be reliable. If your SKUs are too new for that, the Review & Feedback Analysis is usually a better starting point — return reasons often surface in reviews before return volume is statistically meaningful.
We have returns across more than ten SKUs — what then?
Book a scoping call. The work scales sub-linearly above ten SKUs because reason categories repeat, but it still needs more time and the price moves accordingly. We quote the bigger scope honestly rather than try to compress it into the standard fee.
Ready to book?
Or book a free scoping call first if you’d rather talk it through. Twenty minutes, diagnostic not sales.