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Analyze your eBay Marketing data in plain English.

Pull eBay Promoted Listings campaign data into Tablize.

eBay Marketing data analysis questions

→ "Which eBay listings see the best lift from Promoted Listings?"
→ "Show me ad fee burden as percentage of revenue per listing."
→ "Find Promoted Listings campaigns with ad rate higher than necessary."
→ "Compare promoted vs organic conversion for matched listings."
→ "What is my net margin on Promoted Listings after ad fees?"

How to connect

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

campaigns eBay Promoted Listings campaigns with ad rate and status.

campaign_performance Daily metrics: impressions, clicks, sales, ad fees.

Common workflows

Ad rate optimization

Monthly review: recommend reducing ad rate on listings with strong organic conversion.

Ad platforms grade their own homework; your bank statement tells the truth. With eBay Marketing connected, Tablize reconciles spend against real revenue, surfaces wasted budget, and tracks a ROAS that survives the attribution games.

Once eBay Marketing is authorized, tables like campaigns and campaign_performance 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 listings see the best lift from Promoted Listings?” 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 — Ad rate optimization: Monthly review: recommend reducing ad rate on listings with strong organic conversion.

Try eBay Marketing with Tablize.

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

Try free with your data