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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
Structured experimentation
Website optimization services for lead generation focus on turning passive traffic into predictable, revenue-driving leads. Instead of chasing raw sessions, our approach prioritizes lead quality, accurate attribution, and measurable improvements to Cost Per Acquisition (CPA) and Customer Acquisition Cost (CAC). For US-based founders and marketing leaders, that means fewer vanity metrics and more reliable pipeline contribution.
A practical example: a B2B SaaS targeting mid-market companies in the US might see a 15-40% increase in Marketing Qualified Leads (MQLs) after three months of iterative testing and improved tracking, with CAC reductions in the $200-$600 range depending on deal size and channel mix (these are illustrative ranges and will vary by vertical).
Optimizations should map to the funnel stages below so each change has a clear business outcome and attribution path.
| Stage | Primary metrics | Typical interventions |
|---|---|---|
| TOF (Top of Funnel) | Traffic quality, click-through rate | Landing relevance, ad-to-landing alignment |
| MOF (Middle of Funnel) | Engagement, demo requests, content downloads | Progressive profiling, gated content, nurture flows |
| BOF (Bottom of Funnel) | Qualified leads, SQLs, demo-to-close rate | Form optimization, scheduling UX, sales handoff rules |
If you want a quick baseline, our diagnostic typically maps current conversion rates by funnel stage and identifies high-impact experiments. See how this ties into a broader service stack on our services overview and why instrumentation matters on our homepage.
Consideration: In the United States, privacy rules such as CCPA influence how you capture consent for tracking and lead attribution. Ensure consent flows are mapped into your server-side tagging to preserve attribution accuracy while respecting opt-outs.
A basic tracking flow for lead generation: ad click → landing page (client event) → form submit (client event) → server-side event (server call) → GA4 & CRM (event enrichment). This hybrid approach reduces loss from browser blocking and improves revenue attribution to the actual touchpoints that influenced leads.
Website optimization services for lead generation follow a structured workflow. Strategy sets target segments and a test roadmap. Build instruments the site and CRM with deterministic identifiers. Test uses A/B and multivariate experiments prioritized by potential revenue impact. Scale applies winning variations across channels. Report ties experiments back to CAC, LTV, and MER so decisions are financially informed.
Example outcome (illustrative for a US SaaS): a site with 20,000 monthly sessions and a 1.0% lead rate (200 leads) can aim to reach 1.3%-1.5% lead rate within 3-6 months through targeted CRO and tracking improvements - yielding 260-300 leads. If average deal value is $5,000 and close rate remains constant, that shift can materially affect pipeline value (estimates will vary by company).
We describe our approach and team on the About Us page, and if you need a quick conversation about a tracking-first plan you can find options on our contact page.
Prioritize KPIs that map to the business: qualified lead rate, cost per qualified lead ($), opportunity creation rate, demo-to-close conversion, and change in average deal size. Reports should show uplift by channel and experiment, not just top-line conversion rate, so teams can scale changes that improve profitability.
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