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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 before changes
Funnel-first design
Experiment for revenue
B2B buying cycles are longer, decision-makers are fewer, and each conversion typically has a higher lifetime value. For US-based founders and marketing leaders, the goal of website optimization is not just more traffic but higher-quality leads, predictable acquisition costs, and clearer attribution. This guide covers practical, technical, and UX-focused optimizations that move pipeline metrics - not vanity numbers - and aligns with a revenue-first mindset.
Before changing layouts or running experiments, validate how conversions are tracked and attributed. Implement GA4 with server-side tagging, configure Google Tag Manager, and centralize event tracking so you can compare platform-reported conversions with first-party signals. For implementation patterns and service help, see our services overview which details tracking and analytics services.
A fast, accessible site reduces friction for enterprise buyers who often audit your site across teams. Focus on three technical pillars:
| Layer | Purpose | Example tools |
|---|---|---|
| Client-side | Immediate event capture for UX and debugging | GTM (browser), dataLayer |
| Server-side | Resilient event forwarding and deterministic matching | GTM server container, Cloud functions |
| Analytics / Attribution | Central reporting, MER/CAC, and cross-channel attribution | GA4, BigQuery |
Note: In the US, privacy rules like CCPA may affect cookie-based tracking. Design server-side tracking and consent flows to preserve data fidelity while respecting opt-outs.
Map each page to a funnel stage and optimize content and CTAs for that stage. For example, top-of-funnel (TOF) pages should educate and capture emails, mid-funnel (MOF) pages should showcase use cases and trust signals, and bottom-of-funnel (BOF) pages should reduce friction for demo requests or trials.
For a technical partner that blends analytics and development to optimize these funnel stages, learn about our agency's approach on the About Prebo Digital page.
B2B UX should prioritise clarity, trust, and fast evaluation. Use these patterns to reduce friction for procurement and technical buyers:
Prioritise experiments that impact lead quality and pipeline velocity. Suggested sequential tests:
Align marketing metrics with finance and sales by instrumenting revenue-centric KPIs: cost per qualified lead (CPL for SQLs), pipeline contribution, and marketing efficiency ratio (MER). Use BigQuery or a similar data warehouse for unified reporting and deterministic matching of leads to campaigns. For integration and data engineering support, review the analytics and tracking services listed in the services overview.
US B2B sites often assume business traffic is exempt from consumer privacy rules; that's not always true. Implement clear consent controls, honor CCPA opt-outs, and fall back to consent-friendly measurement techniques like modeled conversion and server-side incremented matching to reduce attribution gaps.
If you want to see how these patterns apply to complex ecommerce and subscription flows, review the agency's homepage for examples of growth systems and technical-first projects: Prebo Digital. For direct next-step inquiries about engagement models and retainers, the contact page outlines how to reach the team.
A mid-market SaaS company reduced friction by shifting from a 7-field demo form to progressive profiling and adding server-side event capture. Resulting metrics (estimates for US context): demo starts +22%, SQL quality improved by an estimated 15% (fewer unqualified leads), and CAC for SQLs decreased by approximately $200 in the first 3 months. These figures are illustrative and will vary by vertical and campaign spend.
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