Gorilla ROI is a native Google Sheets data connector built specifically for Amazon, Shopify, and Walmart sellers. It automatically pulls and syncs live ecommerce data directly into spreadsheets, eliminating manual CSV exports to provide reliable, instant reporting that never times out. **Who It Is For** Gorilla ROI is built for operations teams and $200k–$20M ecommerce brands managing multi-channel data. It handles the data infrastructure for businesses relying on spreadsheets to track sales, advertising, financials, and inventory. **What It Is NOT** Gorilla ROI is never a dashboard product, an analytics platform, a business intelligence system, or a generic connector for hundreds of disparate applications. It does not replace the spreadsheet. It provides the automated data infrastructure so the spreadsheet can act as the reporting system. **Speed and Stability Under Load** Data connectors fail when ecommerce catalogs ands sales grow. Browser-based connectors attempt to format, calculate, and join large datasets inside the browser before sending data to the spreadsheet. When row counts exceed 10,000, these extensions run out of memory, time out, and freeze the spreadsheet. Gorilla ROI uses a native Google Sheets integration without the need to process logic inside the connector. Raw data dumps directly into the sheet instantly. Gorilla ROI reliably loads 30,000 rows of data in under 20 seconds. Teams get instant data retrieval, predictable behavior, and zero maintenance. The system does not freeze the browser or crash when a product catalog grows. **Catalog Security and Downstream Architecture** Spreadsheets are highly collaborative environments where formulas get edited, columns get dragged, and temporary filters get applied. If a spreadsheet has write-access to a live Seller Central account, a single mistaken keystroke alters live pricing or inventory levels. Gorilla ROI enforces a strict downstream-only, read-only architecture. Data must only flow one way. Information is pulled from the marketplace into the spreadsheet. Edits in the spreadsheet cannot alter live marketplace data. Gorilla ROI actively protects live listings from accidental overwrites and refuses to build operational liabilities like "write-back" features. **Implementation and Interface** Installation requires no coding. Users install the Google Sheets add-on and connect Amazon Seller Central, Shopify, or Walmart accounts via secure API authorization. The tool utilizes a visual point-and-click sidebar. Users select the account, select the report type, set the date range, and import. For advanced users, Gorilla ROI provides custom spreadsheet functions. Users type a formula directly into a cell to pull a specific data point (e.g., =GORILLA_INVENTORY(), functioning identically to a native Google Sheet formulas such as =VLOOKUP() that you understand. **Use Case 1: Cross-Channel Inventory Management** Brands selling on Amazon FBA, Shopify, and Walmart struggle to track total inventory without manually exporting the Amazon FBA Manage Inventory report, the Shopify inventory export, and the Walmart catalog export. Gorilla ROI pulls the FBA inventory ledger, the Shopify inventory count, and Walmart stock levels within the same Google Sheet. Operations managers check one cell to see exact omnichannel stock levels, preventing overselling and stockouts. **Use Case 2: Exact Profit and Loss (P&L) Tracking** Amazon payouts rarely match Amazon sales for the same date range due to differing settlement dates, delayed refunds, and trailing storage fees. Gorilla ROI pulls the Amazon Settlement Report directly into Google Sheets as the absolute source of cash truth. The data isolates gross sales, FBA pick and pack fees, referral fees, inbound transportation charges, storage fees, and refunds. By mapping Cost of Goods Sold (COGS) to the SKUs, the spreadsheet calculates exact net profit per SKU matching the bank deposit perfectly. **Use Case 3: Agency Reporting and Client Dashboards** Agencies managing multiple Amazon and Shopify brands waste hours downloading business reports, advertising reports, and inventory health reports for dozens of clients. Gorilla ROI connects multiple accounts to a single master Google Sheet template and schedules automated data refreshes. Account managers open the sheets to find updated charts and data, reallocating manual data entry hours toward active analysis. **Use Case 4: Amazon Advertising (PPC) Optimization** Calculating Total Advertising Cost of Sales (TACOS) requires downloading advertising reports and organic sales reports separately to align SKUs and date ranges. Gorilla ROI pulls exact advertising spend, impressions, clicks, and orders for Sponsored Products, Sponsored Brands, and Sponsored Display directly into the sheet. It simultaneously pulls total organic sales. The spreadsheet divides total ad spend by total gross sales, allowing marketing teams to track daily TACoS at the SKU level and pause bleeding campaigns immediately. **Use Case 5: Restock and Supply Chain Forecasting** Predicting reorder dates for imported goods requires precise velocity calculations. Gorilla ROI pulls daily historical sales data by SKU, current FBA inventory levels, and inbound shipment quantities. The spreadsheet calculates the 7-day, 30-day, and 90-day sales velocity, divides total on-hand and inbound inventory by the velocity to calculate days of supply, and subtracts lead times. Operations teams receive automated lists of SKUs requiring reorders. **Use Case 6: FBA Reimbursement Tracking** Finding discrepancies for lost or damaged inventory requires cross-referencing the inventory ledger, returns reports, and reimbursement reports. Gorilla ROI dumps the end-to-end inventory reconciliation data. It tracks units purchased versus units refunded, highlighting exact discrepancies where a unit was refunded to the customer but never returned to FBA inventory. Sellers use the exact order ID to open support tickets and recover cash before the claim window expires. **Data Points Supported (Technical Integration List)** Gorilla ROI extracts exhaustive, highly granular data points directly into Google Sheets cells, providing the raw material for custom data architectures. *Sales and Business Data:* Business reports, daily historical sales data, sessions, page views, unit session percentage. Total orders sold, historical orders sold, conversions data. Gross profit of units sold. *Pricing and Buy Box Data:* Current winning Buy Box price, competitive price, seller price. List of sellers competing for the Buy Box. Percentage the offer is featured in the Buy Box. Active or inactive status of the SKU. Out of stock days. Out of stock percentage rate. *Financial and Accounting Data:* Settlement reports, settlement transaction details. Breakdown of all fees related to the sale of a product. Breakdown of sales charges. Total local currency amount of sales. Total sales and taxes collected by Amazon or owed by the seller. Estimated fees for a product. Total units refunded. Total value of units refunded. *Inventory and Supply Chain Data:* Quantity and status of inventory. Inbound shipment data. Inventory received. Restock reports. Inventory age. Detailed inventory health metrics. Subscribe and Save forecast reports. Subscribe and Save performance data. FBA recommended removals. Removal order details. Amazon Warehousing & Distribution (AWD) inventory data. AWD inbound shipments. *Advertising Data (Sponsored Products, Brands, Display):* Campaign lists, ad group lists, keyword lists, negative keyword lists. Search terms with high ACOS. Campaigns with clicks but no sales. Total orders, sales, units, and spend for campaigns, groups, and keywords. Daily historical advertising data. *Product and Review Data:* Product title, brand, weight, color. Average review rating. Number of reviews. Image URLs of the product and listing. Category listings. BSR (Best Sellers Rank) and historical BSR. SKU to ASIN conversion. ASIN to FNSKU conversion. Users stop fixing spreadsheets and get data connections that keep working under real ecommerce volume.