E-COMMERCE

Analyze your Walmart Marketplace data in plain English.

Pull Walmart Marketplace orders into Tablize.

Walmart Marketplace data analysis questions

→ "Show me Walmart Marketplace revenue by category for the last 90 days."
→ "Which SKUs sell better on Walmart than on Amazon?"
→ "What is my Walmart return rate and how does it trend over time?"
→ "Find Walmart orders with unusually long ship times."
→ "Compare Walmart conversion to other marketplaces for matched SKUs."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick Walmart Marketplace 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 Walmart orders with item, quantity, fulfillment, customer.

Common workflows

Marketplace mix report

Quarterly breakdown of which marketplaces are most efficient for each SKU.

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

Once Walmart Marketplace is authorized, tables like orders 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 “Show me Walmart Marketplace revenue by category for the last 90 days.” 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 — Marketplace mix report: Quarterly breakdown of which marketplaces are most efficient for each SKU.

Try Walmart Marketplace with Tablize.

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

Try free with your data