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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
Speed & Mobile
Tracking & Attribution
CRO & Testing
Landing pages are revenue touchpoints. When conversion rates drop, CAC rises and growth stalls. This article breaks down the most common issues with landing page conversions and solutions you can apply to Shopify stores, WooCommerce sites, and B2B SaaS funnels in the United States. Expect technical fixes (speed, tracking), UX fixes (copy, forms), and measurement fixes (attribution, server-side tracking).
For US-focused eCommerce brands on Shopify, a 3-second extra load time can lower add-to-cart rates and increase bounce rates, which directly inflates CAC. For B2B landing pages, long forms or unclear value props kill demo requests. Performance marketers often see discrepancy between platform-reported conversions and backend revenue because of attribution and tracking gaps - not necessarily because the landing page is the sole culprit.
| Stage | Primary goal | Common landing page issues |
|---|---|---|
| Top of Funnel (TOF) | Awareness, relevance | Message mismatch, slow load, unclear CTA |
| Middle of Funnel (MOF) | Consideration, trust building | Weak social proof, technical errors, form friction |
| Bottom of Funnel (BOF) | Conversion, purchase, sign-up | Checkout friction, payment errors, broken tracking |
Diagnosing landing page issues begins with measurement. A common pattern is seeing high impressions and clicks but low conversions - which signals either a UX problem or a tracking/attribution problem. Prebo Digital combines CRO with analytics to separate visible UX issues from hidden data gaps; learn more about our core services on the services page and our agency approach on the homepage.
Practical diagnostic steps: run a Lighthouse speed audit, record 50 mobile session replays, and validate conversions with server-side events before treating suspected UX problems as the primary cause.
Fixes fall into three categories: UX and copy, technical performance, and measurement. Start with the lowest-effort, highest-impact items - compress images, remove non-essential scripts, and align headlines with the ad creative. Then move to testing and measurement improvements to ensure you can prove revenue impact.
Optimize for mobile-first speed: defer non-critical JS, enable CDN and image compression, and run ongoing Lighthouse checks. For Shopify stores, server response and app bloat are frequent culprits; consider a targeted theme audit and selective app removal. For WordPress/WooCommerce, ensure PHP and hosting are sized for peak traffic and use object caching where appropriate.
| Event | Client-side | Server-side |
|---|---|---|
| Page view / click | Browser pixel / gtag.js | Server event (postback) for resilience |
| Add to cart | Client event + cookies | Order validation, dedupe with order ID |
| Purchase / lead | Conversion pixel | Server-side conversion for attribution accuracy |
Implementing server-side tracking (for example, a GTM server container) increases data resilience against browser restrictions and consent tools. This improves attribution clarity between ad spend and revenue - critical for optimizing CAC and LTV calculations in US markets.
Be mindful of CCPA and state-level privacy frameworks when deploying client-side tracking. Consent banners can block signals; plan measurement so server-side events respect consent while preserving de-identified analytics where permitted.
A typical US mid-market Shopify store might expect an A/B test to detect a 10-15% relative lift in add-to-cart rate for a well-targeted hero change; actual results vary by traffic quality and product price. Every optimization should be framed in dollars: estimate incremental revenue impact = traffic × baseline conversion rate × expected lift × average order value ($).
If you want to compare structured approaches to diagnosing landing pages, read about our methodology or request a diagnostic to see a real-world example on your site.
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