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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 evaluation
Tracking & attribution
Structured onboarding
When US-based founders, marketing directors, and Shopify or WooCommerce store owners search for how to find the best website optimization services, they are usually trying to solve one or more of these problems: low conversion rates, unreliable attribution, rising CAC, or a stalled growth funnel. Choosing a provider that focuses on revenue and measurable outcomes - not just traffic - reduces wasted ad spend and improves lifetime value (LTV) over time.
Start by defining what success looks like in dollars. Example: reduce CAC from $60 to $45 while increasing AOV by $10. Framing vendor selection around business KPIs (CAC, LTV, MER) helps you evaluate proposals that are designed to drive profitable growth rather than cosmetic UX changes.
If you want an example of how a revenue-focused services mix looks in practice, review a typical service catalogue to align expectations with deliverables: Prebo Digital services overview. For a snapshot of the agency mindset and team background, see our company profile: About Prebo Digital.
Before you engage a vendor, map your funnel and ensure each stage has measurable events. A clear TOF → MOF → BOF breakdown helps prioritise which experiments will move revenue fastest.
| Stage | Primary Metric | Example Event |
|---|---|---|
| TOF (Top of Funnel) | Click-through rate, cost per click | ad_click |
| MOF (Middle of Funnel) | Add-to-cart rate, email capture rate | add_to_cart, newsletter_signup |
| BOF (Bottom of Funnel) | Checkout conversion rate, average order value (AOV) | purchase (value) |
Quick tracking note: platform-reported conversions can diverge from server-side events. Prioritise a tracking plan that provides a single, auditable event taxonomy.
ad_platform → click → server-side event capture → analytics (GA4) → attribution model → revenue reporting. This pipeline reduces ad-platform discrepancies and improves MER accuracy.
When comparing proposals, score vendors on scope, measurability, and scalability. Typical pricing models include hourly retainers, fixed-scope projects, or outcome-driven retainers. For eCommerce clients in the US, a common approach is a monthly retainer with defined experiments and a roadmap to improve conversion rate and average order value over a 6-12 month horizon.
Example A - Shopify brand: a $250k/year store engaged a CRO provider that implemented server-side purchase events and ran 12 experiments across checkout and product pages. Estimated uplift: a 10-18% relative increase in revenue over 6 months (estimates vary by vertical and traffic mix).
Example B - B2B SaaS: a mid-market funnel focused on lead quality by instrumenting form completions and LTV-driven attribution. The vendor tied paid spend directly to MQL → SQL conversion improvements rather than raw lead volume.
If you want to see how a structured growth engagement is typically run, explore a revenue-first approach on the Prebo Digital homepage: Prebo Digital - Homepage. For next steps when you are ready to evaluate vendors and request proposals, review our recommendations for preparing a clean tracking baseline and vendor RFP.
A strong onboarding process reduces time-to-impact. Ensure the vendor delivers a documented tracking plan, a prioritized experiment roadmap, and a data handover (raw events, dashboards, access). Ask for a 30-60-90 day plan that maps to measurable milestones tied to revenue or LTV improvements.
If you want a real-world example of a website optimization engagement that prioritises revenue and clean attribution, request a growth audit or review a documented case study to compare approaches. For quick context on team experience, see our About page: About Prebo Digital.
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