E-COMMERCE

Analyze your Etsy data in plain English.

Track Etsy receipts, listing performance, and shop margin.

Etsy data analysis questions

→ "Which Etsy listings have the highest views-to-favorites ratio?"
→ "Show me Etsy conversion rate by listing category."
→ "Find Etsy listings that lost visibility after a fee restructure."
→ "What is my Etsy net margin after fees and ad costs?"
→ "Compare Etsy sales velocity to Shopify for matched listings."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick Etsy 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

receipts Etsy receipts (orders) with buyer, item, quantity, price.

listings Etsy listing catalog with views, favorites, conversion.

Common workflows

Listing performance review

Monthly review: which listings to renew, which to update photos, which to retire.

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

Once Etsy is authorized, tables like receipts and listings 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 Etsy listings have the highest views-to-favorites ratio?” 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 — Listing performance review: Monthly review: which listings to renew, which to update photos, which to retire.

Try Etsy with Tablize.

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

Try free with your data