Connect Magento (Adobe Commerce) data with Looker Studio to blend GA4, Google Ads, Search Console, and BigQuery into automated dashboards your team can actually use.
• Magento (Adobe Commerce) orders, order items, customers, products, and refunds are extracted via API or database export and modeled into reporting-friendly tables.
• Looker Studio connects through connectors to BigQuery, GA4, Google Ads, and Search Console, with Magento data typically routed through BigQuery for stable querying.
• Field mappings align Magento IDs (order_id, sku, customer_id) with analytics keys (date, channel, campaign, landing page) to support blended data sources.
• Scheduled refresh runs update datasets on a cadence, with incremental loads sending only new or changed records when supported by the pipeline.
• Currency, timezone, and tax/discount logic are normalized so revenue, margin proxies, and AOV calculations stay consistent across sources.
• Data quality checks flag missing dimensions, unexpected nulls, and schema changes, and refresh errors are logged for traceability.
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We export Magento (Adobe Commerce) order, product, and customer data to BigQuery (or another warehouse), then connect it to Looker Studio for scheduled refreshes and shared KPI views.
Yes, Looker Studio can blend BigQuery-based Magento datasets with GA4, Google Ads, and Search Console connectors, so you can report on performance end to end.
Most teams start with revenue, gross margin, conversion rate, AOV, refunds, top products, and stockouts, then add channel and landing page views from GA4 and Search Console.
We use Magento as the source of truth for financials, QA GA4 ecommerce events, and build reconciliation views that show gaps by payment status, refunds, and attribution.
Yes, we model datasets by website, store view, currency, and locale, then add filters and rollups in Looker Studio for country, brand, or global reporting.