A practical, performance-first framework to evaluate, interview, and onboard PPC talent who drive revenue and clean attribution.
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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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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
Hire for measurement
Test then scale
Contract with milestones
If you run a Shopify, WooCommerce, or B2B SaaS business in the United States and want predictable customer acquisition, knowing how to hire a PPC advertising expert matters. This guide focuses on hiring for revenue growth, attribution accuracy, and sustainable unit economics rather than vanity metrics like clicks or impressions. The steps below help founders, marketing directors, and growth managers assess candidates who can improve CAC, LTV, and consolidated profitability.
A high-performing PPC professional should demonstrate platform skill, measurement discipline, and funnel thinking. Prioritize these capabilities:
Use scenario-based questions that force trade-offs and reveal depth. Example questions:
Below is a minimal tracking diagram showing layers of measurement you should expect a candidate to understand.
| Layer | What it captures | Example tools |
|---|---|---|
| Client-side events | Clicks, form submissions, basic purchase events | Google Tag Manager, browser pixels |
| Server-side / first-party | Server-confirmed purchases, subscription events | Server-side GTM, webhook capture |
| Analytics & modelling | Attribution modelling, revenue mapping, cohort LTV | GA4, BigQuery, Looker Studio |
Quick note: When assessing candidates, ask them to map sample tactics to each funnel stage and to show expected unit economics at each stage (estimated CAC, conversion rate, and LTV). This keeps the conversation revenue-focused, not clicks-focused.
A qualified PPC advertising expert should be familiar with US-specific privacy constraints: cookie consent best practices, CCPA/CPRA implications for California residents, and ad platform cookie deprecation workarounds. Expect them to outline how server-side events and consent-mode strategies preserve event fidelity while respecting user choices.
For implementation-focused roles, review candidates' experience with analytics platforms and how they link ad platforms to revenue systems. For example, ask how they'd integrate Shopify order data into GA4 and how they'd validate revenue mapping. For implementation references and agency-style partnership examples, see our services overview and how we approach technical tracking on the about page.
Use this checklist to move from candidate screening to a structured onboarding:
Set expectations on reporting cadence and the metrics that matter: consolidated MER, CAC by cohort, conversion rate lifts, and test outcomes. Typical reporting might include weekly performance snapshots and a monthly strategic review with cohort LTV projections. For US-based eCommerce merchants, include gross order value, refunds, and subscription churn in revenue calculations so forecasts reflect real business outcomes.
Salary or retainer ranges vary by experience and scope. As a rough estimate for specialized PPC roles focused on measurement and CRO in the United States: contract consultants often charge $75-$250+/hour; monthly retainers for agency-level work can range from $3,000-$15,000+ depending on channel breadth and tracking complexity. These are estimates and will vary based on experience and outcomes expected.
If you'd like a template for a technical PPC audit or a sample take-home task to evaluate candidates, explore our methodology and documented examples on the homepage. For questions about a potential trial engagement or how this framework maps to your stack (Shopify, Stripe, Klaviyo, GA4), see our contact page.
If your store spends ~$50,000/month on ads, a qualified PPC advertising expert should prioritize measurement fixes first. A hypothetical first-phase scope might include server-side purchase ingestion, reconciliation of platform spend to order revenue, a 4-week CRO test on the highest-traffic landing page, and two prospecting experiments. Expected early outcomes are cleaner attribution and an actionable test roadmap rather than immediate revenue jumps; those results are estimates and depend on product margins and churn.
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