Returns Analysis that finds problem SKUs and channels
Growth & MarketingSee which products and channels drive returns. Get root causes (size, quality, channel). Fix list ready to go.
Your first run is free - no card required.
Growth & Marketing Data
Live sync
Auto‑Generated
2 min ago
Coming Q3 2026
📍 Return rate calculation complete, root cause categorization in testing
What's Inside the Excel
Get a ready-to-use file with everything you need
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Return rate by SKU
Products ranked by return rate and $ impact
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Root cause breakdown
Size issues, quality problems, wrong description by product
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Channel patterns
Which traffic sources drive returns vs. keepers
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Action lists
Fix size charts, improve photos, adjust channel targeting
Available for These Platforms
Platform-specific implementations of this decision kit with unique insights for each
What You'll Get
Real outcomes for your business
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Cut return costs: Reduce losses by $3,000-$15,000/month fixing high-return SKUs and channels
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Root causes clear: Size issues? Quality problems? Channel-specific patterns exposed
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Chargeback defense: Document return patterns to dispute invalid claims with evidence
Is this for me?
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You're losing money on returns and refunds but don't know which products
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Some marketing channels drive higher returns than others
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You need root causes (sizing? photos? quality?) to fix, not just rates
How We Analyze Returns, Refunds & Chargebacks
From return rates to actionable root causes
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Return Rate by SKU
Definition: (Units returned) ÷ (Units sold) × 100
Source: Return/refund data + order history
Granularity: Per-SKU, per-category
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Return Cost Impact
Definition: (Refund amount + return shipping + restocking cost) × return volume
Source: Refund amounts + logistics costs
Granularity: Total $ impact, by driver
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Channel Return Pattern
Definition: Return rate variance by sales channel vs. overall average
Source: Returns by channel vs. baseline
Granularity: Per-channel, by product type
Key Features
Unlock powerful insights with these automated features.
High-Return SKU Identification
Ranked list of products by return rate and $ impact - know what to fix first.
Root Cause Categorization
Break down returns by reason: size/fit, quality, color accuracy, shipping damage, buyer's remorse.
Channel Return Patterns
See which platforms drive higher returns (e.g., Amazon vs. your store) and adjust listings accordingly.
Actionable Fix List
Specific actions: improve photos, update size charts, change packaging, adjust channel descriptions.
Chargeback Defense Pack
Document return patterns to dispute invalid chargebacks with evidence of proper process.
Why Manual Reporting Doesn't Work
Hours spent downloading CSVs, cleaning data, and formatting spreadsheets. Every week, every month, every platform.
The Pain Points
- Manual exports that eat up your time
- Inconsistent formatting between platforms
- Errors from manual copy-pasting
- Data that's outdated the moment you get it
Our Solution
- Fully automated report generation
- Expertly formatted Excel & Google Sheets reports
- Fresh data delivered on your schedule
- Pre-built Report Recipes by e-commerce experts
How It Works
3 simple steps to your first report
1. Connect your store
OAuth2 - no passwords
2. Pick dates
Select your date range
3. Download Excel
Ready in ~30 seconds
Prerequisites
- ✓ E-commerce or marketplace platform with return/refund tracking
- ✓ Minimum data: 3 months of return and refund history
- ✓ Optimal: 12+ months to identify seasonal patterns and campaign impact
- ℹ️ Return reason data improves root cause analysis; chargeback data optional but recommended; multi-platform return patterns compared automatically
Frequently Asked Questions
How do you track return reasons?
We analyze refund notes and return reason codes from your platform. For better data, we recommend enabling structured return reasons if available.
Can you tell me which ad channels drive higher returns?
Yes - we match orders to acquisition source and calculate return rate per channel. Discount-driven traffic often has 2-3x higher return rates.
How do you identify return fraud patterns?
We flag customers or addresses with >40% return rate, serial returners (wardrobing), and suspicious patterns like size-swap abuse.
What about partial refunds?
We track partial refunds separately - a customer who kept 3 of 4 items has a different pattern than someone who returned everything.
Why Choose Spreadsheet Broccoli?
Start automating your e-commerce reporting today and save hours every week.
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Expert-Built Templates
Our report recipes are designed by e-commerce experts who understand what metrics matter most for your business decisions.
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Lightning Fast Setup
Connect your platforms in minutes, not hours. Our OAuth2 integration makes setup secure and simple.
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Excel & Sheets Native
Reports are delivered in perfectly formatted Excel files that work seamlessly with your existing workflow.
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Playbooks, not just reports
Our report recipes are designed to provide actionable insights and recommendations for your business.
Ready to Reconcile Your Payouts?
Start using Returns & Refunds Analyzer today and turn your data into decisions
No card • Keep the file forever • Cancel anytime