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Discover what makes us different
Our average client sees a 35% lift in conversion rate across 150+ CRO projects.
500+ tests run across landing pages, checkouts and lead capture forms.
Every change is backed by analytics, heatmaps and real session data.
Certified VWO partners running enterprise-grade experimentation programmes.
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Find answers to common questions
Prebo integrates CRO work with GA4, Google Tag Manager, server-side tracking, and common ecommerce platforms like Shopify and WordPress to ensure accurate event capture and attribution. We also set up ETL or data-layer solutions where needed so test results feed into a single source of truth for decision making.
Common experiments include A/B tests, multivariate tests, funnel experiments, UX and checkout performance optimizations, and technical fixes that reduce friction. Test duration depends on traffic volume and required statistical power but typically ranges from several weeks to a few months per experiment cycle.
We prioritise revenue-per-visitor, conversion rate, average order value, customer acquisition cost (CAC), lifetime value (LTV), and marketing efficiency ratio (MER), alongside statistical significance for experiments. Clean attribution and centralized data pipelines ensure those metrics reflect true business impact rather than platform-reported figures.
CRO is designed to improve conversion efficiency and attribution accuracy, which can increase revenue and profitability when combined with product-market fit and adequate traffic. Outcomes vary by business and depend on test quality, funnel issues identified, and downstream economics, so results are not assured and are measured against revenue-focused KPIs rather than vanity metrics.
CRO is the systematic process of improving a website or funnel to increase revenue per visitor. Prebo Digital uses a technical-first, analytics-driven approach with hypothesis-driven experiments, server-side tracking, and funnel-level optimization focused on measurable revenue outcomes.
In This Article
Align tracking & page design
Prioritise revenue metrics
Funnel-specific pages
Landing page optimization (LPO) directly shapes the performance of paid search and social campaigns. When a click from Google Ads, Meta, or LinkedIn reaches a page that is slow, unclear, or poorly attributed, cost-per-acquisition (CPA) rises and measured return on ad spend (ROAS) diverges from real revenue. This article explains how landing page elements, tracking architecture, and funnel design interact with PPC systems so you can make revenue-driven changes, not cosmetic tweaks.
A revenue-focused landing page aligns messaging, speed, and tracking with the campaign's intent. Key components include a clear value proposition, a single conversion goal, fast-loading assets, deterministic tracking hooks, and a measurement plan that ties clicks to orders or qualified leads.
| Layer | What it captures | Why it matters for PPC |
|---|---|---|
| Client-side (browser) | Clicks, page events, form interactions | Immediate ad platform attribution; vulnerable to ad blockers |
| Server-side (SST / CAPI) | Server-confirmed conversions, first-party cookies, order details | Improves attribution fidelity and recovers blocked signals |
| Analytics (GA4 / ETL) | Unified session and revenue reporting | Business-level reporting and cross-channel analysis |
Tip: Treat the landing page as both a creative and a data collection point. Simple changes-like standardizing UTM parameters or moving order-confirmation server events-can materially change campaign decisions in automated bidding strategies.
If you need more context on Prebo Digital's broader service approach to measurement and paid media, review our services overview or start from the Prebo Digital homepage for examples of revenue-focused client work.
Optimizing landing pages requires mapping the paid touchpoint to the funnel stage. Top-of-funnel (TOF) pages prioritize educational content and lead capture; middle-of-funnel (MOF) pages focus on product differentiation and micro-conversions; bottom-of-funnel (BOF) pages remove friction to purchase. A mismatch-sending BOF creatives to a TOF page-lowers conversion rates and wastes ad spend.
Example: A US DTC brand on Shopify runs a prospecting Google Ads campaign with $10,000 monthly spend. Improving landing page conversion rate from 1.5% to 2.0% (an illustrative 0.5 percentage point lift) reduces CPA proportionally. If average order value (AOV) is $80 and conversion lifts are sustained, this change could increase monthly revenue by roughly $26,667 (estimates; calculation based on incremental orders). These figures are examples to show the compounding effect of LPO on paid budgets.
Slow page speed, mismatched messaging, missing order event pushes, and inconsistent UTMs are common sources of wasted PPC spend. Compliance areas to watch in the US include cookie consent flows (where applicable) and clear opt-out links for email capture sequences. For more on measurement infrastructure options, see how we approach tracking in our about page.
For teams evaluating implementation help, we often advise a measurement-first audit followed by iterative LPO sprints that align with paid media calendars. If you want to discuss a specific campaign's landing page setup, our team is accessible via contact to explore the framework and see a real-world example.
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