Performance-driven PPC management for B2B companies that prioritizes CAC, pipeline quality, and clean attribution.
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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.
Here's what sets us apart from the competition
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
Revenue-first PPC
Tracking-first setup
Strategy → Scale
B2B paid search and social campaigns require a different approach than direct-to-consumer advertising. PPC management for B2B companies means aligning Google Ads, LinkedIn, and programmatic spend to sales cycles, account-value targets, and multi-touch attribution. Prebo Digital builds strategies that prioritize qualified pipeline, lower customer acquisition cost (CAC), and measurable revenue impact across the funnel.
Unlike eCommerce, B2B purchase decisions are longer, involve multiple stakeholders, and often require offline touches like demos or enterprise procurement. Effective PPC management for B2B companies maps paid channels to stages of the funnel (TOF → MOF → BOF), ties engagements to account-level value, and uses server-side tracking to reduce attribution drift.
A robust program combines strategy, technical tracking, and iterative testing. Key components include:
Prebo Digital pairs this with a measurable reporting cadence and data pipelines so marketing and sales see the same revenue signals. Learn how our broader service mix supports this approach on our services overview and why we emphasise technical tracking on our homepage.
Our PPC management for B2B companies is designed for US-based founders, marketing directors, and growth teams running Shopify or custom B2B SaaS stacks. Typical scenarios include:
Effective PPC management for B2B companies follows a repeatable process. We start with a revenue-focused strategy, build a tracking-first foundation, run structured experiments, scale high-performing cohorts, and produce transparent reports that map spend to pipeline and revenue.
Monthly retainers are structured to deliver predictable outcomes: strategy and channel planning, campaign build and creative recommendations, server-side tracking and GA4 configuration, continuous optimization, and executive reporting. Retainers are tailored to spend level and goals; examples below are illustrative and in US$.
| Tier | Monthly Fee (est.) | Primary Inclusions |
|---|---|---|
| Growth | $5,000-$8,000 | Strategy, build, GA4 + GTM setup, biweekly tests |
| Scale | $8,000-$15,000 | Full-funnel paid, attribution modeling, pipeline reporting |
| Enterprise | $15,000+ | Dedicated analytics, server-side tracking, cross-channel scaling |
For US B2B advertisers, we recommend server-side event collection and an account-based attribution model that folds offline touches into paid performance. Use first-party data signals, link CRM account values to conversions, and measure CAC against the revenue per account. This reduces reliance on platform-reported conversions and surfaces true marketing efficiency.
We explain our technical approach and tracking stack in more depth on our about page, including how we align analytics and attribution with sales outcomes.
A mid-market US SaaS company with a $12,000 average contract value engaged a PPC program to lower CAC from $3,000 to $1,800 (example estimates). By prioritizing TOF lookalike audiences, MOF demo nurture flows, and BOF bid automation tied to deal value, the client scaled pipeline while improving lead quality. Results vary; figures above are illustrative estimates for US scenarios.
If you want to evaluate specifics for your stack, Book a Free Strategy Call with our team to get a tailored plan and an initial audit of your tracking and funnel economics.
Ready to discuss a custom PPC management plan? Request a Growth Audit or Get a Custom eCommerce Plan via our contact page: Book a Free Strategy Call.
We deliver weekly performance snapshots, monthly deep-dive reports that map spend to pipeline and revenue, and quarterly strategy reviews to align paid media with ARR targets. Reports include channel-level CAC, pipeline conversion rates, and recommendations for channel reallocation.
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