Google Shopping Setup Checklist for E-commerce Brands

Prepare the business and website

Merchant information, contact details, checkout, delivery, returns, payment, privacy, and product availability should be clear and consistent. Eligibility and policy requirements vary by country and programme, so use current Merchant Center diagnostics and official documentation.

• Verify the website domain
• Publish accurate delivery and return information
• Keep price and availability consistent
• Use secure checkout
• Resolve policy warnings before scaling spend

Build trustworthy product data

Identifiers, titles, descriptions, categories, images, variants, prices, availability, links, and shipping attributes help Google understand and approve products. Feed optimization should improve accuracy and relevance, not introduce claims absent from the product page.

• Use valid identifiers where available
• Write clear product-led titles
• Submit high-quality images without promotional overlays where required
• Keep variants distinct and consistent
• Monitor disapprovals and expiring data

Validate conversion measurement

Purchase events should capture the correct value and currency without duplicate firing. Consent, browsers, cross-device journeys, cancellations, returns, and offline transactions can affect attribution, so platform revenue should be compared with store records.

• Place controlled test orders
• Check transaction IDs
• Verify value and currency
• Separate primary and secondary actions
• Document attribution settings

Structure campaigns around commercial priorities

Products can be grouped by category, margin, stock, seasonality, geography, performance history, or strategic importance. The right structure gives the team enough control without fragmenting data into groups too small to learn from.

Optimize beyond return on ad spend

ROAS can be useful but does not automatically account for margin, new versus returning customers, cancellations, fulfillment, or lifetime value. Business feedback and reliable order data should inform budget decisions.