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ADVERTISING

Analyze your Amazon Ads data in plain English.

Connect Amazon Sponsored Products to track ACoS, search term waste, and rank impact.

Amazon Ads data analysis questions

  • "Which Amazon ad campaigns have ACoS above breakeven?"
  • "Show me search terms with high spend and zero sales — candidates for negation."
  • "Find ASINs where ad spend is propping up organic rank."
  • "What share of my Amazon revenue comes from paid vs organic?"
  • "Compare Amazon Ads ACoS to total Amazon take rate per ASIN."

How to connect

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

What lands in your workspace

campaigns Sponsored Products campaigns with bidding, status, budget.
search_terms Search term reports with impressions, clicks, sales.

Common workflows

Search term cleanup

Weekly: search terms costing >$50 with no sales, ready to negate.

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

Once Amazon Ads is authorized, tables like campaigns and search_terms 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 Amazon ad campaigns have ACoS above breakeven?” 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 — Search term cleanup: Weekly: search terms costing >$50 with no sales, ready to negate.

Try Amazon Ads with Tablize.

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

Try free with your data