E-COMMERCE

Analyze your eBay data in plain English.

Connect eBay fulfillment orders for cross-marketplace analysis.

eBay data analysis questions

→ "Which eBay categories had the highest sell-through rate last month?"
→ "Show me average days-to-ship by eBay category."
→ "Find orders where shipping cost exceeded 25% of order value."
→ "Compare eBay sell-through vs Amazon for matched SKUs."
→ "Which eBay buyers became repeat customers within 60 days?"

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick eBay and follow the OAuth flow (or paste an API key, depending on the connector).
Run your first sync. Tablize pulls historical data and sets up an incremental cursor so future syncs stay fresh.
Open a new chat and ask your first question. Tablize already knows the schema.

What lands in your workspace

orders eBay orders with item, buyer, payment, shipping address.

line_items Per-order eBay line items with SKU, price, quantity.

Common workflows

Multi-marketplace dashboard

Single view: eBay + Amazon + Shopify by SKU, with normalized fees and shipping cost.

Store data hides the real story across orders, line items, and refunds. With eBay connected, Tablize joins them for you, so “which SKUs actually lost margin after returns” becomes one question instead of an afternoon in spreadsheets.

Once eBay is authorized, tables like orders and line_items sync into a dedicated schema in your workspace’s PostgreSQL — incrementally, so only new and changed rows move after the first backfill. Ask something like “Which eBay categories had the highest sell-through rate last month?” and Tablize writes the SQL, runs it, draws the chart, and offers to keep the answer as a report, a scheduled script, or a live dashboard.

A setup teams reach for first — Multi-marketplace dashboard: Single view: eBay + Amazon + Shopify by SKU, with normalized fees and shipping cost.

Try eBay with Tablize.

Free to try on your own data. Your first answer in under 60 seconds.

Try free with your data