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The Best Way to Merge Shopify and Poshmark Data for Refund Reconciliation
If you're doing refund reconciliation by hand right now, here's the fastest path from "two exports" to "one usable sheet," and why the manual version keeps breaking.
Step by step
- Decide your target columns once. Most people settle on Date, Channel, Order ID, and Total — set that up in CSV Experts and you won't redo it.
- Import the Shopify file first. The first time you see this file shape, you map each of its columns to your target list.
- Import the Poshmark file the same way. Its columns get mapped once too — after that, every future file with this shape merges with no extra clicks.
- Check the merged totals. Dates and numbers are normalized automatically, so a European "24,00" and a US "24.00" both land as the same value.
- Export. CSV or Excel, ready for refund reconciliation.
What actually goes wrong if you do this by hand
Shopify gives you a Created At timestamp that includes a timezone offset, while Poshmark gives you a sale date in the seller's local time — line those up manually across a few hundred rows and it's easy to miscount a week. On top of that, Shopify's export exports one row per line item by default, so an order with 3 products becomes 3 rows unless you export the summary report instead, and Poshmark's the export is aimed at individual resellers, so it has far fewer columns than the bigger platforms and no shipping/tax breakdown. Individually those are minor quirks; combined into one spreadsheet by hand, they're where most reconciliation errors for refund reconciliation actually come from.
Why it matters for refund reconciliation
Refunds are recorded differently enough between platforms that matching them back to original orders is one of the most error-prone manual tasks.
Just want the quick column-difference reference instead? See the short version.