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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
Scoring framework
Technical checklist
Pilot first
When you search for how-to-compare-website-optimization-agencies or evaluate providers for conversion rate optimisation, the biggest risk is choosing by pitch instead of measurable outcomes. This guide breaks down a repeatable process that prioritises revenue impact, attribution clarity, and scalable testing over vanity metrics.
Compare agencies across four evidence-based pillars: Strategy & process, Measurement & tracking, Testing velocity & methodology, and Commercial alignment (pricing, reporting cadence, KPIs). Each pillar maps to specific questions you can score and document.
| Criterion | Score 1-5 | Notes |
|---|---|---|
| Has documented CRO framework | Look for case-study structure and repeatable steps | |
| Server-side tracking experience | Server-side reduces loss from browser privacy controls | |
| Revenue-attributed reporting | Reports map tests to $ or MER impact |
If you want context on Prebo Digital's approach to performance media and tracking while you compare agencies, review our services overview and the agency's high-level philosophy on the about page. For an example of end-to-end engagement, our homepage outlines typical deliverables and analytic-first priorities.
A core part of how to compare website optimization agencies is a technical checklist. Ask candidates to walk through a conversion tracking diagram for your stack. A minimal, modern setup looks like this:
| Step | Description |
|---|---|
| Client site | Page events and first-party cookies |
| Server-side GTM | $ event enrichment, reduce browser signal loss |
| Analytics & Ads | GA4 for behaviour, Ads platforms for paid attribution |
| Warehouse | UTM-level join for LTV and MER analysis |
Request a short architecture sketch for your stack (Shopify, Stripe, Klaviyo, etc.) and evaluate whether the agency plans to implement server-side tracking, event deduplication, and a BI-ready schema. Agencies that cannot articulate where $ value is calculated and how conversions are attributed should score low.
Compare agencies on how they approach the funnel. A practical funnel breakdown for commerce looks like:
When comparing proposals, map each suggested experiment to TOF→MOF→BOF and demand an expected timeline and measurement plan that ties tests back to revenue (for example: estimated +$5,000-$20,000 incremental monthly revenue at +1-3% conversion uplift, estimates will vary based on AOV and traffic mix).
Ask how results will be reported and attributed. Good reports include: MER or revenue lift, test-level confidence intervals, and a clear description of attribution windows. Avoid agencies that only share platform dashboards without a reconciled revenue view.
If you want a reference for how an analytics-first agency organises work, compare what agencies list in services versus how they describe outcomes on the services overview and confirm technical details on the contact page when requesting an architecture sketch. Seeing alignment between claims and technical deliverables is telling.
Before signing, request a short pilot: a scoped 4-8 week engagement focused on analytics remediation and one high-priority test. Use the pilot to validate reporting, communication cadence, and testing rigor. This practical step reduces risk and clarifies whether the agency’s methods produce actionable insights.
Explore the framework and see a real-world example by comparing the proposal deliverables to the evaluation checklist above. Learning how to compare website optimization agencies is about replacing rhetoric with measurable commitments and technical clarity.
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