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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 testing
When founders, marketing directors, and growth teams evaluate website optimization services, the decision should hinge on revenue impact-not traffic vanity. Comparing website optimization services means assessing how a provider improves conversion rates, reduces customer acquisition cost (CAC), and increases lifetime value (LTV) through a structured framework: strategy, build, test, scale, report. This guide walks through practical evaluation criteria, tracking architecture, and vendor questions tailored to US eCommerce and B2B contexts.
A technical-first partner combines analytics, automation, and attribution to build a measurable growth system. If you want a quick example of service coverage and capabilities, review the agency's service overview here: Prebo Digital services. For a broader view of the agency mission and values, see the company homepage: Prebo Digital.
| Component | Client example | Tracked event / purpose |
|---|---|---|
| Client site (Shopify) | Checkout funnel | purchase, add_to_cart, checkout_progress (attribution) |
| Server-side endpoint | Server event collection | reduces ad-blocker loss, cleans attribution |
| Ad platforms | Google/Meta/TikTok | conversion imports and custom conversions |
| Stage | Primary objective | Sample metrics (US eCommerce) |
|---|---|---|
| TOF (Top of Funnel) | Awareness & traffic quality | impressions, click-through rate (CTR), CPM |
| MOF (Middle of Funnel) | Engagement & consideration | product view rate, add-to-cart, email capture rate |
| BOF (Bottom of Funnel) | Purchase & retention | conversion rate, AOV, CAC, LTV |
When comparing website optimization services, ask specific, experience-based questions. Example questions that reveal maturity:
Providers typically use one of three models: project-based, monthly retainers, or performance-linked retainers. For US eCommerce stores, a CRO+tracking retainer might range from $5,000-$25,000/month depending on scope (hypothesis generation, A/B test builds, server-side tagging, and analytics engineering). These figures are estimates and will vary by agency and complexity.
Selection framework: Prefer vendors who present a clear Strategy → Build → Test → Scale → Report workflow and can show past experiment examples with effect on revenue or CAC (redacted if necessary).
Scenario: a US Shopify store spends $30,000/month on performance media with CAC of $45 and wants to lower CAC to $35. A valid optimization plan could include: improving checkout UX (expected 5-12% CR uplift estimated), adding server-side tracking to recover lost attribution (estimated 3-8% attribution recovery), and testing price/offer permutations to increase AOV. Together, these structured tests aim to reduce CAC through higher conversion rates and higher average order value. For platform-specific growth retainer options, learn how Prebo Digital approaches long-term programs here: Request a growth conversation.
Rank candidates by technical capability (tracking & analytics), experimentation maturity (statistical approach and test velocity), and commercial alignment (how they measure revenue impact). Ask for a 30-60 day pilot with defined hypotheses and acceptance criteria. If you want to understand who you’re partnering with beyond services, read more about the team's approach and values: About Prebo Digital.
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