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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
Revenue-first CRO
Clean attribution
Strategy → Scale
Effective website optimization services for conversion focus on measurable revenue impact rather than surface metrics like raw traffic. For US-based founders, marketing directors, and Shopify or WooCommerce store owners, the priority is reducing CAC, increasing average order value (AOV), and improving lifetime value (LTV) within a clean attribution framework.
Prebo Digital’s structured framework follows Strategy → Build → Test → Scale → Report. Strategy aligns audience, messaging, and funnel economics; Build implements tracking, site fixes, and experiments; Test runs controlled A/B and personalization tests; Scale deploys winners across channels; Report ties outcomes to revenue and unit economics.
Effective website optimization services for conversion begin with a full-funnel audit: traffic sources, landing experience, checkout friction, and backend attribution. This identifies high-impact tests that are designed to move MER and profitability, not just improve click-through rates.
A conversion-first site optimization plan pairs UX improvements with tracking accuracy: GA4, server-side tagging, and clean attribution modelling so reported conversions map to actual revenue. For an overview of our services and how they integrate with paid media, see Prebo Digital services and our agency approach on the homepage.
Typical conversion optimization retainers include a baseline audit, prioritized test roadmap, implementation, and monthly analysis tied to revenue. Results are presented in business terms: change in monthly revenue, CAC delta, and projected LTV lift. Example US scenario: a Shopify store at $120k/month that increases conversion rate by 15% could see an estimated revenue uplift of roughly $18k/month, assuming AOV and traffic remain stable (figures are estimates and will vary by store).
| Phase | Deliverables | Typical timeline |
|---|---|---|
| Audit | Funnel audit, tracking review, prioritized test list | 1-2 weeks |
| Build | Tagging (GTM/Server-side), UX fixes, experiment setup | 2-6 weeks |
| Test & Scale | A/B tests, personalization, rollout plan | Ongoing (monthly sprints) |
Pricing models typically use monthly retainers sized to scope: smaller stores may engage from $3,000-$6,000/month, while scaled brands often require $8,000+/month for broader experimentation and analytics engineering. These are estimates and subject to proposal.
Conversion improvements are only useful if accurately measured. Effective website optimization services for conversion pair CRO with analytics engineering: GA4 validation, server-side tracking, enhanced eCommerce events, and consistent UTM taxonomy. For more on Prebo Digital’s technical approach and why clean data matters, see our about page.
Reporting maps experiments to revenue impact and unit economics (CAC, LTV, MER). Example metric set for a B2B SaaS landing funnel: MQL rate, SQL rate, demo-to-paid conversion, and revenue per lead - all reconciled in server-side analytics to reduce cross-platform reporting differences.
If you want to understand how this applies to your site’s revenue and tracking posture, you can learn more about our engagement model and scheduling on the contact page.
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