Request a Quote for Merchant Center Optimisation Services

Merchant Center optimisation services that drive profitable Shopping performance

Request a quote for Merchant Center optimisation services to align product data, attribution, and media strategy with measurable revenue goals. Prebo Digital builds structured Merchant Center programs for Shopify and WooCommerce stores, focusing on conversion value, cleaner attribution, and lowered customer acquisition cost (CAC) across Google Shopping campaigns in the United States.

Why Merchant Center optimisation matters for revenue

A well-optimised Merchant Center feed reduces disapproved products, improves impression share for high-value SKUs, and helps your Google Ads bidding capture real purchase intent. Optimisation is not just about feed fields - it’s about matching feed quality to landing page experience, server-side tracking, and campaign structure so your ads scale profitably.

• Higher feed quality increases eligible impressions for priority SKUs.
• Consistent product data reduces manual disapprovals and policy friction.
• Better attribution (server-side + GA4) improves bid decisions and reduces wasted spend.

What a quote covers: strategy to scale

When you request a quote for Merchant Center optimisation services, expect a scoped plan that follows Strategy → Build → Test → Scale → Report. The proposal outlines feed cleanup, mapping to Shopify/WooCommerce product attributes, structured campaign architecture, and tracking alignment with GA4 and server-side tagging.

Prebo Digital’s approach is technical-first and evidence-based. Learn more about our broader services and how Merchant Center optimisation fits into a unified growth system on our Services page. For an overview of the agency’s philosophy on measurable growth, visit our About page.

How we price a Merchant Center optimisation engagement

Quotes are typically based on product catalogue size, current feed health, required integrations (Shopify/BigCommerce/WooCommerce), and tracking complexity. For example, a 1-500 SKU feed with basic mapping and a single US storefront often starts at a lower monthly retainer than a 10,000+ SKU enterprise catalogue that needs advanced attribute enrichment and server-side tracking configuration.

Estimates use US-dollar pricing and present ranges rather than fixed promises. A 30-day optimisation test will aim to reduce CAC and lift attributed revenue, with reporting calibrated to server-side events and GA4 conversions to avoid platform-reported bias.

Deliverables, timeline, and what to expect after you request a quote

A standard Merchant Center optimisation quote includes: initial audit, feed remediation plan, feed implementation (automated where possible), campaign structure recommendations, tracking alignment (GA4 + server-side), and a 30-90 day test plan. Typical timelines run 2-6 weeks for feed and tracking remediation, followed by a performance test phase.

Sample deliverable table

Performance measurement and reporting

We measure success by incremental attributed revenue and CAC improvements in the United States market using reconciled signals from GA4, server-side events, and platform data. Reports show true conversion value ranges in $ and highlight attribution uplift after server-side tagging. For long-term growth, our retainers are built to optimise for profitability and MER, not just clicks.

If you want a tailored outline or have a large catalogue, request a detailed quote or schedule a scoped review. Start by visiting our homepage or submit project details on our Contact page to get a custom plan and timeline.

Real-world example (US retailer)

A US apparel merchant with ~2,500 SKUs engaged a Merchant Center optimisation retainer. After feed cleanup, attribute enrichment, and server-side campaign attribution, the test phase showed a measurable reduction in untracked offline conversions and improved bid efficiency for high-margin SKUs. Reported figures were reconciled against payment data to verify actual revenue lift in $ (results vary; this is an illustrative example).

Sources

• Google Merchant Center Help: Product data specification
• Google Developers: Product structured data
• Google Analytics: GA4 measurement and eCommerce