A practical guide for founders and growth teams to evaluate partners who can turn product feeds into profitable, measurable 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
Technical feed health
Attribution accuracy
Process & testing
Feed-based campaign optimisation is the process of turning your product or catalog feed into high-performing shopping and dynamic ad campaigns on platforms like Google, Meta, and other retail channels. Choosing the right partner for feed-based campaign optimisation affects revenue, attribution accuracy, and long-term profitability more than incremental bid tweaks. This guide shows what to evaluate when hiring a partner and how to spot technical and process gaps that cost CAC and LTV.
A capable partner should demonstrate technical fluency across feed managers, Merchant Centers, and analytics. That includes feed transformation (attributes, custom labels), automated syncs, and server-side tracking for reliable attribution. For examples of services that combine strategy and technical build, see our services overview and agency approach on our homepage.
| Source | Measurement layer | Where it feeds |
|---|---|---|
| Platform click/impression (Google/Meta) | Click ID + server-side event | Advertiser reporting & analytics |
| Site conversion (purchase) | Client GA4 + Server GTM | Attribution model / Data warehouse |
| Payment processor | Order revenue and fees | Merchandise economics / MER |
Assess partners against this funnel-aligned checklist:
When interviewing feed-based campaign optimisation partners, structure evaluation across five pillars: Strategy, Build, Test, Scale, and Report. Ask for examples of:
Score each candidate 1-5 on these capabilities: feed engineering, conversion accuracy, experimentation, channel experience, and reporting transparency. A respectable partner will show case studies with US-based examples and explain trade-offs (e.g., feed granularity vs. sync cadence).
Consider a hypothetical US Shopify store with $120,000 monthly revenue and an average order value of $80. If a partner improves feed match rates and attribution so that effective spend shifts from unprofitable SKUs to profitable ones, the store could see a MER improvement that increases net profit. Exact dollars depend on margin; use this as a planning estimate, not a promise.
For more context on how a technical-first, attribution-focused agency frames those answers, see our team background on the about page and examples of our combined analytics and ad work in the services overview. If you want a practical walkthrough of your feed and tracking stack, request a technical review to see how changes map to revenue (soft CTA).
Start with a short technical audit: validate feed health, confirm server-side event collection, and reconcile a 30-day window of ad platform conversions to orders. Use the audit findings to build a 60-90 day test plan focused on the highest-risk levers: feed quality, attribution, and bid rules. Track results by MER and profitability rather than raw clicks.
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