Amazon Tutorials

Amazon Shopify Walmart Reporting in One Google Sheet

Last updated -

May 12, 2026

Article Summary

✅ Amazon Shopify Walmart reporting works when every channel feeds one SKU-based Google Sheet with separate raw tabs.

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✅ The first cross-channel views I would build are sales by internal SKU, inventory coverage, ad spend, returns, and margin.

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✅ Gorilla ROI pulls Amazon, Shopify, and Walmart data into Google Sheets, while your team still owns the SKU mapping, COGS inputs, and review logic.

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Can you trust one SKU number when three channels disagree?

Amazon Shopify Walmart reporting gets messy when the same product sells on three channels and each channel gives you a different version of the answer.

We have been on Amazon since 2012, and every channel we added after that created the same reporting problem in a different costume. Amazon had settlement timing, FBA fees, ads, and inventory. Shopify had orders, payouts, discounts, refunds, and payment fees. Walmart had order status, WFS or seller-fulfilled stock, item IDs, and its own reconciliation flow.

A Shopify Community reconciliation thread described the exact problem: payout does not equal orders, fees and refunds do not line up cleanly, COGS has to be tracked by SKU, and Amazon plus Shopify need to land in one view before SKU-level profit makes sense. That thread is worth linking because it clearly shows that report breaks when payout, order, fee, refund, and COGS data live in separate places.

Your SKU mapping tab makes your spreadsheet more reliable

Amazon, Shopify, and Walmart reporting should start with a simple SKU mapping tab that connects each channel’s SKU to one internal SKU your team uses for reporting.

| Field | What It Connects | Why It Matters | |---|---|---| | internal_sku | The SKU your team uses for reporting | Gives every product one shared SKU for sales, inventory, returns, ads, and margin review. | | amazon_sku | Amazon order, sales, inventory, fee, and ad rows | Connects Amazon activity to the internal SKU. | | shopify_sku | Shopify order, variant, inventory, and refund rows | Connects Shopify activity to the internal SKU. | | walmart_sku | Walmart order, item, inventory, and return rows | Connects Walmart activity to the internal SKU. | | product_name | The plain product name your team recognizes | Makes the review easier without decoding SKU strings. | | unit_cogs | The product cost used for margin calculations | Keeps margin comparisons consistent across all channels. |

I would build this tab before any summary view. If the SKU mapping is wrong, the workbook can still look clean while the answer is wrong, which is worse than an ugly report that shows you exactly where the mismatch is.

Think of the SKU mapping tab like a translation table. Amazon, Shopify, and Walmart can use different SKU names, but your report needs one internal SKU so sales, inventory, returns, ads, and margin land on the same product row.

Three-channel reports fail when the join key is weak

Cross-channel reporting fails when Amazon, Shopify, and Walmart rows cannot be joined to the same product record.

| Root Cause | What Happens | Financial Cost Model | |---|---|---| | Channel SKUs do not map to `internal_sku` | Sales, inventory, ads, and returns split into separate product rows. | If one manager spends 5 hours per week reconciling rows at $30 per hour, the cleanup work costs $7,800 per year before a decision is made. | | Payout timing is treated like order timing | Amazon settlement data, Shopify payouts, and Walmart reconciliation data are compared against order dates without a timing rule. | If your finance review takes 3 extra hours per month at $30 per hour, the timing cleanup adds $1,080 per year before you count the cost of bad decisions. | | Inventory is reviewed inside each platform | A SKU can look safe by channel while shared stock is already tight across the combined catalog. | If your team spends 4 hours per month rebuilding stock views at $30 per hour, the review tax is $1,440 per year before rush freight, stockouts, or overbuying. |

I used transparent time-cost math here instead of pretending I know your freight bills or SKU margins. Your real cost could be higher, but you should attach the dollar amount to your labor rate, stockout cost, and COGS instead of copying someone else's number.

I would separate reporting from inventory syncing

A shared Google Sheet can become your reporting source of truth without pushing live inventory changes back into Amazon, Shopify, or Walmart.

This is where I would slow down. A lot of sellers think the immediate goal is to make every platform sync with every other platform, but I want the reporting model stable before I let any system change live inventory or listing values.

Your platforms can stay separate while your reports meet in one sheet. That keeps the workbook useful for review without turning it into the thing that can accidentally overwrite a live listing.

The shared sheet should answer what sold, what is left, what came back, what ads spent, and what margin is still real after fees and refunds.

The first five cross-channel views should match your weekly review

A multi-channel workbook should answer sales, inventory, ads, returns, and margin before it tries to become a company report.

| Review View | Question It Answers | Raw Tabs It Reads | |---|---|---| | CHANNEL_SALES_REVIEW | Which SKUs sold across Amazon, Shopify, and Walmart? | AMAZON_ORDERS, SHOPIFY_ORDERS, WALMART_ORDERS | | INVENTORY_COVERAGE_REVIEW | Which products are at risk across all channels? | AMAZON_INVENTORY, SHOPIFY_INVENTORY, WALMART_INVENTORY | | AD_SPEND_REVIEW | Which products are getting paid traffic? | AMAZON_ADS, WALMART_ADS where available, sales tabs | | RETURN_REFUND_REVIEW | Which products are coming back or getting refunded? | AMAZON_RETURNS, SHOPIFY_REFUNDS, WALMART_RETURNS | | CHANNEL_MARGIN_REVIEW | Which channel is producing the cleanest SKU margin? | Orders, fees, refunds, ads, COGS_INPUT |

I would start with sales and inventory, then add margin after the SKU mapping tab and COGS tab are clean enough to trust. If you start with margin too early, you can waste a week fixing formulas that were wrong because the product join was wrong.

For Amazon-only raw data structure, use the Amazon seller data to Google Sheets hub. For Shopify setup, use Shopify to Google Sheets. For Walmart setup, use Walmart Seller Center.

Raw fields stay separate before the workbook normalizes them

Amazon, Shopify, and Walmart use different field names for similar business questions, so I would keep the raw fields intact and normalize them in calculation tabs.

| Normalized Field | Channel Source Fields | Review Use | |---|---|---| | channel | Amazon marketplace, Shopify store, Walmart market | Separates sales, inventory, and margin by platform. | | internal_sku | Amazon SKU, Shopify SKU, and Walmart SKU matched through the SKU mapping tab | Joins every channel row to one product record. | | order_id | Amazon order ID, Shopify order ID, Walmart purchase order ID | Prevents duplicate counting and supports order review. | | order_date | Amazon purchase date, Shopify created or processed date, Walmart order date | Lets you compare sales inside the same reporting period. | | gross_sales | Amazon item price or OrderedProductSales, Shopify price or total price fields, Walmart order charge fields | Supports cross-channel sales review. | | units_sold | Amazon quantity ordered or UnitsOrdered, Shopify line item quantity, Walmart order line quantity | Feeds velocity and inventory coverage. | | available_inventory | Amazon Available or fulfillable quantity, Shopify available, Walmart SKU inventory quantity | Shows stock by channel before combined risk review. | | refund_amount | Amazon refund fields, Shopify refund data, Walmart refund charge amount | Supports return pressure and margin review. |

Amazon’s Orders API mapping lists order item fields such as Order.orderItems[].product.sellerSku, asin, orderItemId, and quantityOrdered. Shopify’s Order resource lists line item fields such as sku, quantity, price, current_quantity, and total_price, while Shopify’s inventory docs show quantities such as available, incoming, committed, on_hand, and reserved. Walmart’s Orders API retrieves order details, and Walmart’s Inventory API retrieves current inventory for a SKU by ship node or across nodes.

Docs if you want to take on the APIs directly yourself.

You'll begin to see why for 99 out of 100 sellers, it's not worth the time and hassle to transform yourself into a software development company. Do what you do best, which is marketing and selling your products. Not getting sidetracked into thinking you can save $100/mo and end up spending 6k/mo to build a broken side project software.

Gorilla ROI provides ecom channel data

Gorilla ROI is a Google Sheets data hub for ecommerce operations, so Amazon, Shopify, and Walmart rows can land in the same workbook where your team already reviews products.

Gorilla ROI quick start guide shows how you can use our add-on to pull data from Amazon Seller Central, Amazon Ads, Shopify, and Walmart.

That matters because the workbook should not depend on a manager remembering which CSV to download. When the raw tabs are already current, your time can go into checking the SKU mapping, COGS input, returns, ad spend, and stock risk.

Claire Davies at GNO Partners said,

"It has saved my team over 40 hours per month by automating the exact data pulls we used to do manually."

That quote earns its place here because cross-channel reporting multiplies the same manual work across Amazon, Shopify, and Walmart.

Video showing Shopify to Google Sheets integration

This is just one of the many video tutorials on integrating all ecom platforms we support. Go to our Gorilla ROI channel for more videos.

Your team needs action tabs after the review tabs

A cross-channel workbook should separate raw channel data, normalized calculations, review views, and team action tabs.

| Layer | Tabs I Would Create | What Belongs There | |---|---|---| | Raw platform tabs | AMAZON_ORDERS, SHOPIFY_ORDERS, WALMART_ORDERS | Imported channel rows with original field names. | | SKU mapping and cost tabs | SKU_MAPPING, COGS_INPUT | Internal SKU, Amazon SKU, Shopify SKU, Walmart SKU, product name, and unit cost. | | Normalized tabs | ORDERS_NORMALIZED, INVENTORY_NORMALIZED, RETURNS_NORMALIZED | Shared fields like `channel`, `internal_sku`, `order_date`, and `units_sold`. | | Review tabs | SALES_REVIEW, INVENTORY_REVIEW, MARGIN_REVIEW | Founder and manager views for weekly decisions. | | Action tabs | REORDER_ACTIONS, AD_ACTIONS, RETURN_ACTIONS | Human decisions, owners, due dates, and follow-up notes. |

The action tab is where I want your team writing decisions. Keep notes out of raw imported rows because a refresh can move the row, replace the data, or separate the note from the order it was meant to explain.

The same rule applies to custom Amazon reports in Google Sheets, but it matters more when three channels feed the same product review.

Different platforms, CSV files, and central spreadsheet serve different jobs

Amazon, Shopify, and Walmart reporting can stay inside each platform, move through CSV files, or land in one shared Google Sheet.

| Each Platform | CSV File Stack | Shared Google Sheet | |---|---|---| | Best for checking a single channel quickly. | Best for one-time cleanup or accounting handoff. | Best for weekly cross-channel product review. | | Each platform keeps its own language and timing. | Every file has to be downloaded, renamed, imported, and matched. | Channel rows can be joined by `internal_sku`, date, and channel. | | Sales, fees, ads, inventory, and refunds stay separated. | The file is stale after the next order or refund posts. | The workbook can compare sales, stock, ads, returns, and margin together. | | Useful for native troubleshooting. | Useful when the question is temporary. | Useful when the same SKU questions return every week. |

I still use the platform screens for account settings, order exceptions, and native troubleshooting, but I do not want a weekly product review trapped inside three separate interfaces.

Gorilla ROI is the wrong fit if your team does not work from Google Sheets, if one weekly export already answers the question, if you need custom Shopify metafields, or if you need campaign-level Walmart Connect attribution beyond the standard connection. In those cases, wait until the repeated reporting work costs more than the tool.

Three terms keep the workbook from turning into a junk drawer

| Term | Definition | |---|---| | SKU mapping tab | A SKU mapping tab is a reference table that connects Amazon, Shopify, and Walmart SKUs to one internal SKU. It matters because each channel can use a different SKU while your report still needs one product row. | | Normalized order row | A normalized order row is a cleaned row that uses shared field names such as `channel`, `internal_sku`, `order_date`, `units_sold`, and `gross_sales`. It matters because your review tab should not care whether the source row came from Amazon, Shopify, or Walmart. | | Source of truth | A source of truth is the workbook tab or model your team trusts when channel reports disagree. It matters because cross-channel decisions need one place where SKU, date, channel, sales, inventory, and cost are joined. |

I would define these terms before I share the workbook with anyone else. If two people on your team disagree on what internal_sku means, the reporting problem has already started.

FAQ

What is Amazon Shopify Walmart reporting?

Amazon Shopify Walmart reporting is the process of joining sales, orders, inventory, ads, returns, fees, and margin data from all three channels into one review system. In Google Sheets, I would use raw tabs for each platform, a SKU mapping, normalized calculation tabs, and review views for weekly decisions.

Can I manage Amazon, Shopify, and Walmart reporting in one Google Sheet?

Yes, you can manage Amazon, Shopify, and Walmart reporting in one Google Sheet if every channel uses a clean SKU mapping process. I would start with Amazon, Shopify, and Walmart order tabs, then add inventory, returns, ads, and COGS after the SKU mapping tab is correct.

What is the first report I should build across Amazon, Shopify, and Walmart?

The first report I would build is a cross-channel SKU sales review with channel, internal_sku, order_date, units_sold, and gross_sales. That view tells you whether the same product is growing on Amazon, Shopify, Walmart, or across all three.

Does Gorilla ROI replace Amazon, Shopify, or Walmart?

Gorilla ROI does not replace the platform because you still need to access your ecom platform for native troubleshooting, account settings, order exceptions, and platform-specific actions. Gorilla ROI is the shared workbook layer for reviewing the data together after it leaves each platform.

How should I handle SKUs that differ by channel?

Create a SKU_MAP tab with internal_sku, amazon_sku, shopify_sku, walmart_sku, product name, and unit COGS. Every cross-channel formula should join to internal_sku instead of assuming all platforms use the same SKU format.

Where should Amazon ad data fit in a multi-channel workbook?

Amazon ad data should live in its own raw tab and join to the sales review by SKU or ASIN before it affects margin decisions. For the ad metric layer, use Amazon advertising metrics.

Where does Shopify payout data fit?

Shopify payout data belongs in the finance or margin layer after the order rows are already mapped to internal_sku. The Shopify Community thread above is a good reminder that payout totals, order totals, refunds, taxes, and fees need reconciliation before you trust SKU-level profit.

Amazon Shopify Walmart reporting checklist

| Check | Pass Standard | |---|---| | Create `SKU_MAPPING` first | Every product has `internal_sku`, `amazon_sku`, `shopify_sku`, `walmart_sku`, product name, and unit COGS. | | Keep raw imports separate | Amazon, Shopify, and Walmart rows do not land in the same raw tab. | | Normalize after import | Shared fields like `channel`, `internal_sku`, `order_date`, `units_sold`, and `gross_sales` live in calculation tabs. | | Test one SKU across all channels | Pick one product and confirm sales, inventory, returns, ad spend, and COGS match the right product row. | | Add inventory after sales works | Do not build inventory coverage until the sales view joins cleanly by `internal_sku`. | | Choose one date rule | Your workbook needs one reporting rule for order date, payout date, return date, and settlement date. | | Keep manual notes in action tabs | Reorder notes, ad decisions, return follow-ups, and supplier notes stay out of raw imported data. | | Use one currency rule | Mixed marketplace or channel currency values need a conversion rule before margin is compared. | | Build the weekly summary last | The summary comes after sales, inventory, returns, ads, and margin views are accurate. |

The workbook is ready when your team can open one Google Sheet, select a master SKU, and see sales, inventory, returns, ad spend, and margin across Amazon, Shopify, and Walmart without downloading another file.

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