Optimize shopping feeds for Google, Meta, and retail channels to reduce CAC, improve attribution accuracy, and drive profitable revenue growth.

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Campaigns average a 300% return on ad spend across R50M+ in managed budget.
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Conversion tracking and GA4 configured properly from day one, not months later.
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Budget requirements vary by industry, funnel and competitive intensity, but many advertisers need several thousand dollars per month to collect statistically useful conversion data; smaller budgets can still work if campaigns are tightly targeted to high-intent keywords or remarketing audiences. Prebo Digital designs spend strategies to prioritise profitable channels and scale when unit economics support it.
For eCommerce campaigns the focus is typically on Shopping, dynamic remarketing and ROAS-driven bidding tied to LTV, while B2B emphasises lead quality, account-based targeting, longer attribution windows and CPL/CPA optimisation. In both cases measurement, funnel optimisation and cross-channel attribution are prioritised to ensure spend drives revenue, not just clicks.
Prebo Digital implements clean data pipelines using GA4, Google Tag Manager, and server-side tracking, and ties platform data to on-site conversions and offline events where applicable to reduce attribution bias. Multi-touch attribution models and consolidated reporting are used to align spend with revenue and lifetime value rather than platform-reported last-click metrics.
Prebo Digital offers end-to-end Google Ads services including account audits, campaign strategy and setup (Search, Shopping, Display, Video, Remarketing), bid and budget management, conversion tracking implementation, and ongoing performance optimisations focused on revenue outcomes.
Time to profitability depends on product margins, funnel conversion rates, tracking accuracy and budget; an initial data-collection and learning phase commonly takes 4-8 weeks, with structured optimisation and scaling typically assessed over several months. Prebo Digital focuses on iterative testing and measurement to improve profitability rather than short-term traffic metrics.
In This Article
Feed Health Audit
Data Engineering
Profit-focused Scaling
Product feed optimisation is the technical and strategic process of structuring, enriching, and validating product data so merchant platforms and ad networks display the right items to the right shoppers. For US ecommerce brands running Google Shopping, Microsoft, or Meta Catalog campaigns, optimized feeds directly affect impression share, CPC efficiency, and conversion rates - not just traffic volume. A well-structured feed helps lower CAC, improves attribution clarity, and ensures product-level profitability is visible in your reporting.
At Prebo Digital we treat product feed optimisation as part of a revenue system, not a one-off cleanup. Our approach aligns feed improvements with attribution and server-side tracking so feed-level conversions map to accurate revenue in GA4 and your ad platforms. Learn about our broader services and how they integrate with feed work on the services overview.
This service is designed for US-based Shopify and WooCommerce stores, D2C brands, multi-SKU merchants, and B2B companies selling catalog-based products. Typical outcomes include improved Shopping campaign ROAS that is profitability-focused, reduced wasted spend on disapproved or low-quality listings, and clearer product-level LTV and margin visibility.
If you want an overview of our agency background and ways we measure impact, see About Prebo Digital for our technical-first approach to analytics and attribution.
Strategy: We audit feed health, catalog taxonomy, and platform mappings (Google Merchant Center, Meta Catalog, Microsoft Merchant Center) and build a prioritised roadmap tied to revenue goals. Build: We implement title and description templates, custom label rules, GTIN/MPN reconciliation, and automated attribute enrichment. Test: We run controlled experiments at the campaign and product-group level to measure revenue per SKU and CAC impact. Scale: We automate feed pipelines and dynamic bidding signals for high-performing SKUs. Report: We connect feed data to GA4/server-side tracking and present product-level profitability dashboards.
Deliverables commonly include feed audit reports, normalized CSV or API feed builds, automated ETL to push optimized feeds, custom labels for margin and seasonality, and a monthly test plan. Our retainers are built for continuous revenue improvement and attribution clarity; they are priced to support ongoing testing and data engineering rather than one-time fixes. Request a growth audit to see a tailored scope and estimated ROI for your catalog by visiting Contact Prebo Digital.
Example 1 - Mid-market apparel store (Shopify): after normalizing brand and GTIN fields and adding size/color as variants, the store saw a $5-$15 reduction in cost per conversion on top-selling SKUs and clearer profit per order signals in GA4 (figures are illustrative estimates). Example 2 - Electronics reseller: implementing custom labels for margin tiers and automated price feeds reduced bids on low-margin SKUs, improving blended profitability while keeping conversion volume stable.
Note: sample figures above are estimates for US merchants and intended to illustrate typical outcomes; actual results vary by vertical, catalog size, and ad spend.
Feed changes are paired with server-side tracking and GA4 configurations to reduce lost conversion signals from browser restrictions and cookie consent changes. We map feed item IDs to purchase events and persistent identifiers so product-level revenue aligns across ad platforms and your internal dashboards. To explore our technical capabilities for analytics and tracking, visit our homepage.
If you manage a Shopify or WooCommerce catalog and want a structured path to profitable Shopping campaigns, our product feed optimisation services are built to scale. Book a Free Strategy Call or request a Growth Audit to get a prioritized feed roadmap and an estimate of CAC improvement tied to revenue goals.
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