True Returns Analytics for Shopify
The Opportunity
A reporting app that separates genuine customer returns from refund-only events such as pre-shipment edits, order corrections, and size swaps. It gives merchants an accurate return rate instead of an inflated refund-event metric.
"Shopify’s current Returns metric can overcount refunds as returns, making return-rate analytics misleading and hurting merchant decision-making."
Market Validation
Detailed Analysis
Proposed Solution
Create a Shopify analytics app that classifies refund events by reason, timing, fulfillment status, and return authorization so merchants can see true returns versus non-return refunds.
Target Audience
Merchants who rely on accurate return-rate reporting, especially apparel and high-volume stores
Competitive Landscape
Return analytics tools, returns management apps with reporting, finance/reporting dashboards
Implementation Notes
Classify refunds using Shopify order, fulfillment, return, and refund objects; distinguish pre-fulfillment edits and partial refunds from formal return workflows; provide dashboards, exportable reports, and configurable rules for what counts as a return.
Evidence from Merchants
Real quotes from Shopify community forums
"My Shopify-reported return rate is ~25%. My actual return rate is ~3%."
"This is wildly inaccurate."
"I believe this change would be much more helpful for shop owners."
Key Pain Points
Inaccurate return metrics leading to misrepresentation of return rates.
criticalMentioned by 1 merchants
Impact: Reported return rate is significantly higher than actual, potentially leading to lost sales.
Market Metrics
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