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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
Scope & Impact
Measurement Quality
Cost vs. Return
Founders, marketing directors, and Shopify or WooCommerce store owners in the United States face a common choice: invest time in a DIY website optimization approach or engage professional services. This website-optimization-comparison-diy-vs-professional-services guide breaks down costs, speed, measurement quality, and long-term revenue impact so you can choose the path that aligns with your CAC, LTV, and profitability goals.
DIY is efficient for early-stage stores or small content sites where budget is tight and the scope is limited: A landing page redesign, simple A/B tests in Shopify apps, or basic GA4 setup. Example: a single-founder Shopify store testing hero copy and CTA placement to improve immediate conversion rates.
Professional services are designed for scaling brands and B2B SaaS with multiple acquisition channels and meaningful ad spend. If you need accurate multi-touch attribution, server-side tracking, deterministic order reconciliation, or a CRO program that reduces CAC and boosts LTV, a structured engagement is usually more cost-effective over 6-18 months.
Below is a simple tracking flow to compare how DIY and professional approaches instrument a typical US eCommerce funnel (TOF → MOF → BOF).
| Stage | DIY Implementation | Professional Implementation |
|---|---|---|
| TOF (awareness) | Client-side pixels, platform reports | Tagged campaigns + server-side event forwarding, UTM hygiene |
| MOF (engagement) | Basic GA4 setup, limited event tracking | Structured event taxonomy, GTM + server-side tagging, funnel instrumentation |
| BOF (purchase) | Platform conversion pixels, manual order import | Order reconciliation, payment gateway matching (Stripe/Shopify), deterministic attribution table |
For a practical description of performance-first services and technical monitoring, see our services overview which outlines strategy, build, test, scale, and report phases.
Below are experience-based, illustrative ranges for US small-to-mid ecommerce and B2B sites. These are examples, not guarantees.
A professional engagement will typically pair these tasks with analytics engineering (GA4 + GTM + server container), which reduces data loss from ad blockers and cookie consent variations - a common US compliance and privacy consideration. Learn how Prebo Digital frames long-term growth and technical clarity on our homepage.
Scenario: A US Shopify store does $20k/month revenue, spends $6k/month on ads, and targets a 30% LTV:CAC improvement. DIY path: run landing page tests, clean up product descriptions, and install a few apps - likely incremental gains in 3-6 months. Professional path: audit, implement server-side event tracking, run prioritized experiments, and implement basket-level attribution. Over 6-12 months, the professional path often surfaces higher-impact changes (price packaging, funnel-level experiments) that materially shift CAC and MER.
If you want to understand team capabilities, our about page explains our technical-first approach to analytics, automation, and attribution. For organizations that need operational logistics or to discuss timelines, the contact page lists the best ways to reach our team.
If most answers are yes, a professional, systemized approach to optimisation typically delivers better ROI. To explore how a structured framework applies to a US-based store or SaaS funnel, explore the framework and see a real-world example in our resources.
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