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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
Fix technical blockers
Run revenue-focused tests
If your goal is revenue growth and sustainable profitability, not just traffic, you need a prioritized list of website optimizations. This guide explains which techniques move the needle fastest for US-based eCommerce and B2B sites and how to sequence work for measurable impact.
Before changing page designs or ad copy, confirm that conversions are measured accurately. Implement server-side tracking, validate GA4 events, and map platform conversions to the same events you use for revenue reporting. For a technical-first approach, review how tracking and data pipelines fit into a growth system on our services overview.
Technical issues often block gains from UX and CRO work. Address these early to improve page speed, crawlability, and form reliability-three things that directly affect conversion rates and ad efficiency.
Break optimizations into TOF → MOF → BOF so each change supports a clear stage in the buying journey. A well-structured funnel helps prioritize experiments that raise revenue per visitor rather than vanity metrics.
| Funnel Stage | Focus | Example Optimization |
|---|---|---|
| TOF (Top) | Awareness & relevance | Landing page relevance, fast load, clear value proposition |
| MOF (Middle) | Trust & comparison | Product detail content, social proof, friction-free checkout |
| BOF (Bottom) | Purchase & retention | One-click flows, post-purchase offers, lifecycle email triggers |
If you want a practical framework that links these funnel stages to media and analytics, explore our agency approach on the homepage to see how strategy and tracking combine into a growth system.
Quick prioritization rule: fix data integrity → fix technical speed/usability → run conversion experiments on high-traffic, high-value pages.
Use this short checklist to ensure experiments provide reliable learnings and improved ROAS:
With measurement solid, run structured tests that optimize revenue per visitor. Prioritize tests by expected revenue impact: estimate additional monthly revenue = current monthly visitors × conversion uplift × average order value (AOV). Use US currency for examples: if 20,000 monthly visitors, 1.5% conversion, AOV $80, a 10% relative uplift nets roughly $2,400/month (this is an illustrative estimate).
User -> Client-side event -> Server-side collector -> Data warehouse -> Attribution model -> Reporting
This flow reduces dropped events and allows consistent attribution across Google Ads, Meta, and other US platforms. For implementation guidance that combines tracking and analytics, see our technical services details on the about page.
A practical, repeatable roadmap keeps teams focused on revenue rather than ad-hoc fixes.
If you want help applying this roadmap to a Shopify or WordPress store, our engagement model and retainers are focused on long-term, measurable growth-request specifics via the contact page.
Ensure cookie consent flows and privacy notices reflect US state rules (such as CCPA considerations) and avoid losing critical signals during consent collection. Implement first-party data strategies where third-party signals are restricted.
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