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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.
Here's what sets us apart from the competition
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
Measure first
Align funnel roles
Run disciplined tests
When paid media and conversion-rate optimization operate in silos, performance plateaus. This guide unpacks the most common issues with PPC and CRO campaigns that block scalable revenue growth in US-based eCommerce and service businesses, then shows pragmatic fixes built around clean data, funnel clarity, and experimentation discipline.
Before changing bids or creative, validate the measurement stack. Use GA4 with server-side tagging, a clean Google Tag Manager container, and deterministic events for critical actions (add-to-cart, checkout-start, purchase). A common remediation path includes a technical audit, a server-side event ingest, and reconciling platform conversions to an agreed internal metric like revenue-attributed or orders-complete.
Quick note: for Shopify stores processing US orders, include currency verification ($) and cross-domain tracking (checkout.shopify.com) in the audit checklist to avoid lost conversions.
| Touch | Client-side | Server-side | Primary metric |
|---|---|---|---|
| Ad click | gclid or fbclid in URL | Store session mapped to click id | Click → session join rate |
| Purchase | gtag / pixel purchase event | Server-side purchase event with order_id | $ revenue (net) / orders |
If you need a reference for structuring multi-channel roles and budgets, see a concise overview of agency services and capabilities that align media and measurement on the Prebo Digital services page.
For implementation details on site builds that support high-velocity experimentation, review Prebo Digital's development approach on the homepage. Explore the framework for shipping reliable tests and instrumentation rather than one-off improvements.
Use a TOF → MOF → BOF breakdown and map measurement, creative, and tests to each stage. That alignment reduces wasted ad spend and improves experiment signal.
At MOF, focus on lead quality and micro-conversion lifts. Use audience layering in Google Ads and remarketing lists with server-side signals to reduce duplication and improve CAC.
BOF work should validate revenue impact. Use order-level data, consolidate refunds and returns in calculations, and report MER (marketing efficiency ratio) alongside ROAS to see profitability. For US merchants, include tax and shipping in order net revenue calculations when reporting to stakeholders.
Example 1 - Shopify DTC store: after reconciling server-side purchases with Google Ads, the marketing team found platform conversions were undercounting by ~18% (estimate). Adjusting bidding to server-side revenue improved bid decisions and reduced wasted spend.
Example 2 - B2B SaaS: improper experiment holdouts inflated test lift. Reconfiguring the experimentation tool and splitting audiences reduced false positives and produced reliable LTV per cohort estimates.
If you're evaluating a partner to help implement measurement-first campaigns, learn about our experience balancing analytics and creative on the About Prebo Digital page. For an initial technical review, a short discovery with a tracking specialist is often the fastest way to surface gaps and quick wins - see how to reach out on the contact page.
Addressing the common issues with PPC and CRO campaigns requires a structured approach: validate your measurement stack, assign channel roles, and run disciplined experiments that focus on revenue and profitability. When technical and strategic layers are aligned, you move from activity-based reporting to decision-grade insights that scale.
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