E-COMMERCE

Analyze your Google Merchant Center data in plain English.

Pull Google Merchant Center listings to track product visibility and disapprovals.

Google Merchant Center data analysis questions

→ "Which products are currently disapproved and what's the reason?"
→ "Show me product issues trending up over the last 30 days."
→ "Find products with low quality score that might be losing visibility."
→ "What share of my catalog is approved for Shopping vs Free Listings?"
→ "Compare product approval rates across target countries."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick Google Merchant Center 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

products Merchant Center product feed with offer details, status, country.

product_issues Product disapprovals and warnings with issue type.

Common workflows

Disapproval triage

Daily: list new disapprovals, group by root cause, suggest fix priority.

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

Once Google Merchant Center is authorized, tables like products and product_issues 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 products are currently disapproved and what’s the reason?” 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 — Disapproval triage: Daily: list new disapprovals, group by root cause, suggest fix priority.

Try Google Merchant Center with Tablize.

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

Try free with your data