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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
Pricing Models
Cost Drivers
Measurement First
Choosing an SEO and conversion optimisation partner affects revenue, customer acquisition cost (CAC), and lifetime value (LTV). Pricing models vary by scope, measurement needs, and platform complexity - especially across Shopify and WooCommerce stores in the United States. Prebo Digital approaches pricing with a strategy-first mindset: align fees to measurable outcomes and clean attribution, not vanity metrics. See our services for examples of what is included and how we structure engagements: services overview and learn more about our approach on the homepage: Prebo Digital.
| Tier | Monthly range | Typical inclusions |
|---|---|---|
| Starter | $3,000 - $6,000 | Technical SEO fixes, basic CRO tests, reporting cadence |
| Growth | $6,000 - $15,000 | Full SEO roadmap, multivariate CRO, GA4 + server-side tracking |
| Enterprise | $15,000+ | Cross-channel attribution, ETL/data engineering, custom development |
These ranges are examples for US-based eCommerce and B2B brands. Actual pricing depends on ad spend, store platform (Shopify or WooCommerce), analytics maturity (GA4, GTM, server-side), and the number of experiments required to move conversion rates by meaningful percentages. For a snapshot of common service bundles and deliverables, review our services overview.
A predictable pricing structure links directly to measurable outcomes: improve funnel conversion, tighten attribution, and lower CAC. Typical engagement phases follow Strategy → Build → Test → Scale → Report. In practice this means an initial audit of SEO health and conversion points, implementation of tracking (GA4, server-side, GTM), iterative CRO tests, and clear reporting that ties back to revenue. See our team background for experience and approach: About Prebo Digital.
Accurate pricing assumes clean data. If GA4, server-side tagging, or attribution modeling are missing, expect an upfront investment to fix measurement before optimisation can scale. A simple tracking diagram used during onboarding looks like this:
Browser → Client-side GTM → Server container → Data warehouse → Reporting (GA4 / Looker Studio)
When evaluating proposals, request examples that tie fees to revenue impact, and ask for a breakdown of what's included each month (reports, experiments, development hours). For timeline expectations and engagement cadence, you can talk to a tracking expert or request a scoped growth audit tailored to your tech stack.
Example: a $50,000 monthly ad spend retailer aiming to reduce CAC by 15% may start with a $10,000-$15,000 monthly retainer for combined SEO + CRO and a short-term project to implement server-side tracking. These figures are illustrative and will vary by site complexity and test velocity.
If you want a concrete pricing example built around your current CAC, LTV, and tech stack, Book a Free Strategy Call to review options and a custom plan.
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