BigQuery Connector

Sync Google Merchant Center Data to BigQuery

Detrics loads Google Merchant Center into Google BigQuery on the schedule you set. The tables arrive clean, the history keeps growing, and you can query everything from SQL, Looker Studio, or Claude. We run the pipeline so you don't have to.

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*Free 30-minute consultation

SELECT
  date,
  SUM(impressions) AS impressions,
  SUM(clicks) AS clicks,
  SUM(orders) AS orders
FROM `your_project.marketing_data.google_merchant_center_daily_performance_trend_daily`
WHERE date >= DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY)
GROUP BY date
ORDER BY impressions DESC
LIMIT 10

Why send Google Merchant Center data to BigQuery?

Cohorts and LTV analysis

With transaction-level orders in SQL you can calculate LTV, repurchase rates, and cohorts no prebuilt dashboard gives you.

History without limits

Platform APIs cap how far back you can query. In BigQuery every Google Merchant Center sync is stored across its 7 tables, so you accumulate years of your own history.

One warehouse for everything

Join Google Merchant Center with the rest of your platforms in one place, no copy-pasting between sheets.

Ask Claude about it

With your data in BigQuery, Claude can answer business questions about Google Merchant Center in plain language.

Google Merchant Center tables in BigQuery

This is what Detrics creates for Google Merchant Center: 7 preset tables with scheduled syncs, plus any custom one you define.

Product Management

product_inventory

Current product feed with availability and pricing

product titleproduct brandavailabilitynumber of products+2

product_diagnostics

Product issues and approval status

diagnostic product IDdiagnostic titlestatusnumber of diagnostic products+2

Product Performance

product_performance_overview

Key shopping metrics by product

offer IDtitlebrandimpressionsclicksCTR+2

brand_performance

Shopping performance breakdown by brand

brandimpressionsclicksCTRconversionsconversion value

category_performance

Performance metrics by product category

product category l1product category l2impressionsclicksCTRconversions+1

+2 more tables in this group

HOW IT WORKS

From Google Merchant Center to your warehouse

Connect your account once. Detrics handles schemas, syncs, and backfills.

First step

Connect your first datasource

Link any of 32+ marketing and ecommerce platforms in a couple of clicks.

Connect a source

Second step

Set up your destination

Point Detrics at your BigQuery project and dataset. We write the SQL and handle the setup for you.

Set up destination

Third step

Create your transfer

Choose what to sync and how often. Detrics builds and runs the pipeline for you.

Create a transfer

And that's it

Real-time data, forever

Your data lands in the warehouse and stays fresh automatically. We handle the syncing, the maintenance, and every API update for you.

Book a demo

In the demo we set everything up for you and save you hours.

Then ask Claude about it

With Google Merchant Center in BigQuery, the Detrics MCP server lets you run queries in plain language. MCP access is included with every BigQuery plan.

Which product title drives the most revenue in my store?

Compare my Google Merchant Center sales this quarter against last quarter

What was my average order value in Google Merchant Center over the last 30 days?

Explore the Google Merchant Center MCP server

Every Google Merchant Center field, on demand

Preset tables curated by our team
Custom tables with any field combination
Incremental syncs that only load new data
Automatic backfill of up to 12 months of history

18 metrics

71 dimensions

View Google Merchant Center Fields

Get Google Merchant Center into your warehouse this week