Every Monday ReturnIQ pulls data from every corner of your store, finds the patterns costing you the most money, and tells you exactly how to fix them.
Most stores look at return reasons in Shopify and nothing else. That's maybe 30% of the picture. ReturnIQ pulls from every place customers tell you something is wrong.
When a customer returns something and says "it didn't match the photos". and five other customers left a 2-star review saying the same thing. and three support tickets mention it. that's a pattern. ReturnIQ connects those dots automatically.
Connected sources
This week's signals
Claude reads the full text of every return reason, review, and ticket. Not keyword matching. actual understanding. "The jacket looked navy online but it's clearly black" gets classified as photo mismatch, not just "wrong item."
Six root causes cover 95% of all e-commerce returns. ReturnIQ maps everything to one of them so you can act on patterns, not individual complaints.
Root cause breakdown
A product with 5 returns costing $89 each and a 40% margin loses you more than a product with 20 returns at $20 each. ReturnIQ calculates the true cost of every return driver. margin lost plus the $15 average cost to process each return.
This is the list you actually need to prioritize your week. Fix the top item and you get the biggest financial return for your effort.
Financial impact this week
| Root cause | Returns | Cost |
|---|---|---|
| Sizing confusion | 38 | -$1,847 |
| Photo mismatch | 22 | -$940 |
| Quality defect | 14 | -$728 |
| Shipping damage | 8 | -$312 |
| Buyer's remorse | 5 | -$195 |
| Total weekly loss | -$4,022 | |
ReturnIQ doesn't stop at the diagnosis. For each root cause it generates a specific, actionable fix. And for the top 2 impacted SKUs it rewrites your product description, size chart copy, and listing bullets so you can approve and publish immediately.
Generated fixes
Every Monday morning the full analysis lands in your inbox as a plain-English email. No login. No dashboard to check. No notifications to manage. Just the answer and what to do.
It's written for a founder or ops lead who has 5 minutes and needs to know what to fix this week. Numbers first. Jargon never.
Hey. here's your weekly return breakdown for Coastal Apparel.
#1. Sizing confusion. $1,847 lost this week
38 customers returned items citing size issues. JACKET-L-GRN is the biggest offender. your size chart is missing shoulder width and customers are guessing.
Fix: Add shoulder width (in cm) to the size chart. Suggest sizing up for customers between sizes. We've drafted the updated copy below.
#2. Photo mismatch. $940 lost
22 returns on DRESS-S-RED. Customers say it looks lighter in photos than in person. Image 1 is shot in bright studio light.
Fix: Replace image 1 with a natural-light photo. We've flagged which image to swap.
Connect your store in 2 minutes. Your first digest lands this Monday.
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