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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 framework
Speed & checkout
CRO & attribution
If your goal is to grow revenue - not just traffic - then website optimization must be structured around conversion rate optimisation, site speed, and accurate attribution. This guide answers what are the top website optimization techniques for e-commerce with US-focused examples (Shopify, Stripe, Klaviyo) and practical steps you can apply this quarter.
A repeatable framework reduces guesswork. Start with clean data (GA4, server-side tracking), form hypothesis driven by funnel gaps, run controlled experiments (A/B tests, multi-variant), and scale winners while tightening attribution. For an overview of services that support each step, see our services overview which maps strategy to execution.
| Funnel Stage | Primary Goal | Key Techniques |
|---|---|---|
| Top of Funnel (TOF) | Drive qualified visits | Landing relevance, fast load, structured content |
| Middle of Funnel (MOF) | Engage and capture intent | Personalisation, product comparators, social proof |
| Bottom of Funnel (BOF) | Convert and retain | Optimised checkout, fast payment flows, post-purchase workflows |
Quick example: On a $100 average order value store, improving site conversion from 1.2% to 1.8% increases monthly revenue by ~50% for the same traffic volume (estimate, United States scenario).
Site performance is a direct revenue lever. Prioritise Largest Contentful Paint (LCP) under 2.5s, Cumulative Layout Shift (CLS) under 0.1, and First Input Delay (FID) improvements via server response, critical CSS, image optimisation (WebP/AVIF), and edge CDN. For Shopify stores, align theme customisations to avoid blocking scripts and leverage image CDNs provided by the platform. Learn how we pair development with tracking in case studies on our homepage.
Reduce friction: enable accelerated checkouts (Shop Pay, Apple Pay), minimise required fields, and surface trust signals (returns, shipping times). Use progressive disclosure for optional inputs and implement server-side validation to reduce client-side errors. Track checkout funnel drop-offs with GA4 enhanced e-commerce events to isolate the highest-impact fixes.
One of the most overlooked website optimisation techniques for e-commerce is attribution hygiene. Implement GA4 with a server-side collection layer (GTM Server) to mitigate browser signal loss and compare platform-reported conversions to server-validated events. This improves ROAS clarity and informs budget allocation across Google Ads, Meta, and TikTok. If you want a deeper technical breakdown, see our services overview and our tracking capabilities outlined on the about page.
Use rule-based and data-driven product recommendations on category and product pages to increase AOV. Test dynamic bundles, urgency messaging only where it’s honest, and category-level merchandising for recurring best-sellers. For Shopify & WooCommerce stores this often means server-side logic combined with client-side caching to keep pages fast.
Design experiments that measure revenue per visitor, not just conversion rate. Use holdouts to account for seasonality and incrementality. Run tests across the funnel - headline messaging, add-to-cart flows, checkout layouts - and prioritise tests with highest expected revenue impact based on traffic and conversion gaps.
If you want tactical support to execute this plan, Request a technical review or tracking audit via our contact page. Below are practical resources and benchmarks to help prioritise fixes and design tests.
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