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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
Common Cost Ranges
Prioritize Tracking
Test Before Redesign
When founders and marketing leaders ask "what is the cost of website optimization techniques," they mean the total investment required to improve performance, conversion rate, and revenue. Costs vary by technique, scope, platform (Shopify, WooCommerce, custom), and the level of measurement required (client-side only vs server-side tracking). Below we outline typical price ranges, what influences those ranges, and how to prioritize spend for measurable revenue impact in US markets.
The figures below are ranges and should be treated as estimates. Actuals depend on business complexity, traffic volume, average order value, and required data accuracy.
| Layer | Primary function | Why it matters |
|---|---|---|
| Client-side (browser) | Captures clicks, pageviews, basic events | Immediate UX signals; vulnerable to ad blockers |
| Server-side (proxy) | Reconciles orders, ensures reliable attribution | Improves attribution accuracy and ROAS clarity |
| Analytics (GA4, data layer) | Central reporting, funnels, and LTV analysis | Enables long-term strategy and budget decisions |
For a technical-first approach to implementation and measurement, see our services overview and the agency background that informs our pricing choices on the about page. These pages outline the strategy → build → test → scale approach that typically shapes cost.
Example: A $75 average order value store might spend $3,500 on a technical audit and $2,000/month on tests. If a 10% conversion uplift is realized on top pages, that can materially improve CAC and profitability - but start with attribution fixes to measure the true impact.
Below are common website optimization techniques, typical cost buckets (US context), and expected timelines. These examples use conservative estimates and focus on revenue-driving outcomes rather than vanity metrics.
| Technique | Typical cost (US) | Timeline | Business focus |
|---|---|---|---|
| CRO audit & prioritized roadmap | $1,500-$8,000 | 2-6 weeks | Conversion lifts, test backlog |
| A/B testing setup & management | $1,200-$6,000/month | Ongoing | Validated UX changes |
| Server-side tracking + data pipeline | $2,000-$12,000 | 3-8 weeks | Accurate attribution |
| Full UX redesign & rebuild | $8,000-$45,000+ | 2-6 months | Significant UX overhaul |
| Funnel Stage | Optimization examples | Where to prioritize spend |
|---|---|---|
| TOF (Awareness) | Landing speed, mobile UX, content relevance | Low-to-mid spend for scalable media |
| MOF (Consideration) | Product detail enhancements, social proof, email capture | Moderate spend on testing and creative |
| BOF (Decision) | Checkout flow, payment recovery, post-purchase offers | Higher ROI - prioritize engineering and testing |
If you want to see how a structured, revenue-focused optimization plan compares to a one-off fix, explore the framework and examine the long-term case studies on our homepage. When a specific scope is ready, teams often follow up with a detailed proposal via the contact page.
Example scenario (US eCommerce): store with $100 average order value, 20,000 monthly sessions, and current conversion rate 1.5%. A prioritized CRO program costing $6,000 one-time + $3,000/month could target a 15% relative lift in conversion. If lift is achieved, incremental monthly revenue could be approximately $4,500 (15% of 300 monthly orders * $100). These are modelled estimates and should be validated with clean attribution and testing.
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