High-performing paid search strategies combined with rigorous analytics and clean attribution to grow revenue and reduce CAC.

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Discover what makes us different
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-focused strategy
Clean attribution
Scale with confidence
Prebo Digital builds paid search and analytics agency services for US-based brands focused on measurable business growth. Our work pairs Google Ads and other paid channels with a technical analytics stack so you see real revenue impact, cleaner attribution, and improved profitability rather than vanity metrics. If your goal is to scale revenue while keeping Customer Acquisition Cost (CAC) aligned to Lifetime Value (LTV), a combined paid search and analytics approach is essential.
Paid search can scale demand fast, but without accurate analytics you can't trust performance data or optimize for profit. Our paid search and analytics agency services unify campaign strategy, server-side tracking, and conversion attribution so you can allocate budget to channels that move the bottom line. We prioritize measurable outcomes such as revenue, MER, and profitable ROAS over clicks or impressions.
We document each step and deliver a growth plan aligned to your unit economics. See how we structure services and retainers on our Services overview and why our technical-first approach matters on our About page.
| Deliverable | What it includes |
|---|---|
| Campaign architecture | Search, Shopping, and Performance Max plans with audience segmentation for TOF/MOF/BOF. |
| Analytics setup | GA4, GTM, server-side tagging, and events mapped to revenue and LTV. |
| Attribution & reporting | Multi-touch models, data pipelines and dashboards showing revenue by channel. |
For Shopify and WooCommerce stores we also integrate order-level data into the analytics stack so offline refunds, discounts, and subscriptions are reflected in ROAS calculations. Learn how we apply technical integrations in practice on our homepage.
Accurate analytics means you stop paying for poorly attributed conversions and start optimizing toward profitable customers. A typical engagement focuses on three levers: lowering CAC through campaign optimization, improving LTV via CRO and lifecycle automation, and tightening attribution so budget follows revenue. We design systems to measure these levers consistently across Google Ads, Microsoft Ads, and other paid channels.
Imagine a US Shopify store with $100,000 monthly revenue and an average order value of $65. We implement server-side tracking and a data pipeline to reconcile orders, then run segmented paid search campaigns. Using a combined analytics and paid search approach, you can see exactly which keywords produce profitable repeat buyers (LTV) versus one-time purchases. The figures below are illustrative estimates to show how measurement affects decisions:
| Metric | Before (estimate) | After improved attribution (estimate) |
|---|---|---|
| Monthly revenue | $100,000 | $110,000 (reallocated budget to high-LTV segments) |
| Reported CAC | $45 | $38 (better channel-level bidding) |
These are hypothetical values and will vary by vertical and offer. Our approach is designed to surface realistic, testable improvements and then scale the ones that improve profitability.
Monthly retainers include strategic planning, campaign management, analytics maintenance, and a quarterly growth review. Reporting centers on revenue, MER, and CAC/LTV trade-offs. We also provide an attribution model that reconciles platform conversions with order-level revenue so leadership can make confident budget decisions.
Example CTA: Book a Free Strategy Call to review your paid search and analytics roadmap and see a custom plan for CAC reduction and revenue growth.
If you want a practical assessment of how paid search and analytics agency services could impact your growth, request a growth audit or Book a Free Strategy Call. Our team focuses on scalable systems, clean data pipelines, and conversion-driven media management that aligns with US eCommerce and B2B buying behaviours.
Here's what sets us apart
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