Shopify refund reports show totals, but not which SKUs or channels drive returns. A 5% store-wide return rate hides that your Instagram traffic returns 15% while organic is 2%. You're bleeding money on restocking and return shipping without knowing why.
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Products ranked by return rate and $ impact
Size issues, quality problems, wrong description by product
Which traffic sources drive returns vs. keepers
Fix size charts, improve photos, adjust channel targeting
Real outcomes for your Shopify business
Cut return costs: Reduce losses by $3,000-$15,000/month fixing high-return SKUs and channels
Root causes clear: Size issues? Quality problems? Channel-specific patterns exposed
Chargeback defense: Document return patterns to dispute invalid claims with evidence
What this Excel Decision Kit tracks from your Shopify data
Units returned ÷ units sold - find problem products fast
Which traffic sources (Facebook, Google, Instagram) bring return-prone customers
Size/fit issues, quality problems, wrong item, buyer's remorse by SKU
Total $ lost: refund amount + return shipping + restocking cost per SKU
SKUs and customers with dispute history - fraud risk flags
From return rates to actionable root causes
Definition: (Units returned) ÷ (Units sold) × 100
Source: Return/refund data + order history
Granularity: Per-SKU, per-category
Definition: (Refund amount + return shipping + restocking cost) × return volume
Source: Refund amounts + logistics costs
Granularity: Total $ impact, by driver
Definition: Return rate variance by sales channel vs. overall average
Source: Returns by channel vs. baseline
Granularity: Per-channel, by product type
What makes Shopify different and how we handle it
refund_line_items[].restock_type: return/cancel/no_restock
refund_line_items[].location_id: which warehouse received return
order.source_name: channel attribution for return analysis
Shopify-specific setup in 7 steps
Authorize access to orders, refunds, and return data
If not using Shopify Returns app, we'll guide you to enable reason codes
One-time: average return shipping cost per carrier for total cost calculation
Excel shows return rates by SKU, channel, and reason with $ impact
See problem products with root cause: sizing? photos? quality? wrong description?
Specific fixes: update size charts, improve photos, adjust channel targeting, discontinue SKUs
For disputed orders: return history proving proper refund process
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Common questions for Shopify users
We analyze refund notes and transaction descriptions. For better data, we recommend enabling Shopify's return reason codes.
Yes - we match orders to source_name and calculate return rate per channel. Discount-driven traffic often has 2-3x higher return rates.
We track partial refunds separately - customer who kept 3 of 4 items vs. returned everything has different pattern.
We flag customers/addresses with >40% return rate, serial returners (wardrobing), and size-swap abusers.
Yes - wholesale often has lower returns. We segment by sales channel to show the difference.
"15% of our Instagram traffic was returning products - mostly wardrobing. We adjusted targeting and return policy. Return rate dropped to 6%, saving $1,800/month in processing costs."
Nicole Martinez
Customer Experience Director, Boho Fashion Collective
$21,600 annual return cost savings
60% reduction in return rate from paid channels
Other decision kits for your Shopify data
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