Get a custom plan to optimise product feeds, reduce wasted ad spend, and lift revenue-per-visitor for your shopping campaigns.
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Campaigns average a 300% return on ad spend across R50M+ in managed budget.
Premier Partner status places us in the top 3% of agencies in the country.
Conversion tracking and GA4 configured properly from day one, not months later.
New campaigns built, reviewed and live in days rather than weeks.
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Find answers to common questions
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
Custom feed audit
Attribution-first fixes
Test & scale plan
Feed-based campaigns (Google Shopping, Meta Catalog, dynamic retargeting) hinge on clean, structured product data and precise campaign architecture. If your store runs on Shopify or WooCommerce and you see mismatched SKUs, low conversion rates, or poor attribution, a tailored quote for feed-based campaign optimisation can identify revenue levers and projected ROI. At Prebo Digital we build scalable systems that prioritise profitability, attribution clarity, and measurable growth.
A quote for feed-based campaign optimisation typically includes a technical audit, feed remediation plan, campaign architecture changes, tracking improvements, and a testing roadmap. We estimate uplift ranges using historical US campaign data where available and model expected impact on revenue and MER rather than vanity metrics.
| Deliverable | What it fixes | Result |
|---|---|---|
| Feed schema & taxonomy | Missing attributes, inconsistent titles | Better match rates and ad relevance |
| Price & availability sync | Disapproved items, wrong bids | Fewer disapprovals and wasted spend |
| Attribution & server-side tracking | Underreported conversions | Cleaner ROAS and MER calculations |
If you want a sense of our broader offerings and how feed optimisation fits into a growth retainer, see our services overview. For agency background and methodology, read about our technical-first approach on the about page.
Once you request a quote for feed-based campaign optimisation we scope a phased engagement: strategy and feed remediation, implementation (feed automation and server-side tagging), testing and experiment trails, then scale with refined budgets and attribution. Pricing is provided as a customised estimate based on SKU count, integration complexity (Shopify, WooCommerce, custom feeds), and measurement needs.
Estimated US examples: for a mid-size Shopify catalog (~1,000 SKUs) typical engagement fees range and expected timeline will be shared in your custom quote and modelled against your historical ROAS and MER. Figures shown during quoting are estimates and depend on data access and inventory complexity.
We pair feed fixes with clean attribution: GA4 + server-side tagging, conversion deduplication, and consistent LTV windows so you measure real revenue impact. Ongoing optimisation focuses on reducing CAC, improving product-level margins, and increasing revenue-per-click through structured tests and scale phases.
| Included | Optional add-ons |
|---|---|
| Feed audit, remediation plan, test plan | Catalog segmentation and creative templates |
| Server-side tracking baseline and attribution mapping | Data warehouse ETL and custom reporting |
| 30-day performance monitoring after launch | Ongoing ad creative production and retainer support |
Want to see how feed optimisation ties into wider growth systems? Review our approach on the homepage and explore related services on the services overview. If you prefer direct next steps, you can request a growth audit to start a scoped quote.
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