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The Best Way to Merge Shopify and BigCommerce Data for Multi-Store Reporting
If you're doing multi-store reporting 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 BigCommerce 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 multi-store reporting.
What actually goes wrong if you do this by hand
Shopify gives you a Created At timestamp that includes a timezone offset, while BigCommerce gives you an Order Date column that includes a full timestamp — 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 BigCommerce's many optional columns are exported blank depending on store configuration, which can throw off auto-mapping by header position. Individually those are minor quirks; combined into one spreadsheet by hand, they're where most reconciliation errors for multi-store reporting actually come from.
Why it matters for multi-store reporting
Reporting on multiple storefronts only works cleanly once every store's export uses the same column layout.
Just want the quick column-difference reference instead? See the short version.