Return rates per product, return reasons, refund amounts, open return requests, and how long returns take to close, in a live spreadsheet fed by your Shopify store. Find what comes back, why, and what it costs you.
Mixtable's analytical worksheets cover both sides of the problem: the money refunded and the return requests behind it. Start from the Product Returns template and dig from there.
Quantity sold, returned quantity, and return rate for every product and variant, so problem items stand out immediately.
Count returns by Shopify's recorded return reason, and filter supported return metrics to a specific reason or status.
Refund amounts, refund counts, refunded quantity, and percent of orders refunded, per product or store-wide.
Open return requests and store-wide average hours to close a return, with close time also available per order or customer.
The Product Returns template loads quantity ordered, returned quantity, and return rate for every product in one step.
Sort by return rate, flag products above a threshold, or compute refund cost as a share of sales, like any spreadsheet.
A high seller with a high return rate is a quiet margin leak. The Product Returns template puts quantity sold, returned quantity, and return rate side by side, so the products that need a fix, a better size chart, or a discontinue decision surface on their own.
Fixing returns starts with knowing the reason. Mixtable counts returns by Shopify's standardized reason recorded on returned line items, and lets you filter supported return metrics by reason or status, so sizing issues and damage stop being anecdotes and become numbers.
Returns are a process, refunds are money. Store-level refund amounts, refund counts, and percent of orders refunded, laid out over time, show whether the cost is drifting up and which months took the hit.
Beyond the money, returns are promises to customers. Open return counts and average close time show whether requests are piling up and how long a customer waits, so the process gets measured, not just the product.
Analytical worksheets cover supported metric and filter combinations. These are the core metrics for returns and refunds analysis.
Shopify records every return, but the analysis is up to you. Here is how the options compare.
| Analysis task | Mixtable | Shopify admin | Exporting to Excel | Returns apps |
|---|---|---|---|---|
| Return rate per product and variant | Yes, in a live sheet | Limited reports | Manual joins | Sometimes |
| Return counts by reason | Yes | Per return only | Manual tallying | Yes, their focus |
| Refund amounts beside sales metrics | Yes, same sheet | Separate reports | Yes, manually | Rarely |
| Open returns and time to close | Yes, as metrics | List view only | No | Yes, per app |
| Add your own formulas and thresholds | Yes, it is a spreadsheet | No | Yes, manually | Rarely |
| Stays current without re-exporting | Yes, dynamic ranges | Yes | No | Yes |
| Also manages the return workflow itself | No, analysis only | Yes | No | Yes, their core job |
Comparison reflects typical returns analysis workflows. Mixtable analytics covers supported metric and filter combinations.
No exports, no pipelines. Start from the template and follow the problem.
Install the Mixtable Analytics Spreadsheet from the Shopify App Store and open a spreadsheet.
The template loads quantity ordered, returned quantity, and return rate for every product.
Your problem products surface at the top. Drill into variants to catch one bad size or color.
Add reason counts, refund amounts, and percent of orders refunded, filtered by status or reason.
Lay refunds out by month, add threshold formulas, and export to Excel or CSV when needed.
Install the Mixtable Analytics Spreadsheet from the Shopify App Store and open the Product Returns template. Every product loads as a row with quantity ordered, returned quantity, and return rate, live from your store, and you can sort by any column.
Yes. Mixtable counts returns by the reason recorded on returned line items, and return metrics can be filtered to a specific reason, so you can quantify sizing issues, damage, and other causes.
Yes. Refund amounts, refund counts, and percent of orders refunded are available store-wide and per product, and you can lay them out by month to watch the trend.
Yes. Open return counts and average hours to close a return are available as metrics, so you can keep an eye on the queue and the customer experience, not just the totals.
Yes. Return request counts, rates, quantities, reason counts, and open return counts work per product variant, which can reveal one problematic size or color. Average return close time is available store-wide, per order, or per customer rather than per variant.
Yes. Return metrics can be filtered by return status, such as requested, open, closed, or declined, and combined with any date range.
Yes. The numbers come from your store's own order, refund, and return data, synced by Mixtable Analytics, and refund amounts are reported excluding tax so they line up with sales metrics.
No. Mixtable analyzes returns and refunds; the return workflow itself stays in Shopify or your returns app. Many merchants use both: the app to process returns, Mixtable to see the patterns.
Open Mixtable for your store and put numbers on your returns.
