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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
Validate tracking first
Fix one variable at a time
Measure revenue impact
Low conversion rates on landing pages directly reduce revenue, increase CAC, and obscure which parts of your funnel need attention. This guide focuses on practical, measurable steps you can take to diagnose and fix landing page conversion problems for US-based stores, SaaS pages, and B2B lead capture funnels. Use the checks below to move from anecdote to evidence-driven fixes that protect margin and lifetime value.
Before changing UX or copy, confirm your data. A common diagnostic failure is optimized UI based on faulty events. Below is a simple tracking diagram for a checkout or lead form flow that you can use to validate event collection:
| Step | Client-side Event (browser) | Server-side Event (server) |
|---|---|---|
| Landing page view | page_view (GA4) | Proxy page_view + bot filtering |
| Add to cart / CTA click | cta_click (dataLayer event) | validated_cta (with deduplication) |
| Form submit / Purchase | conversion event (browser) | transaction_confirmed (server) |
Run side-by-side comparison for 7-14 days: browser events vs server-side events. Differences often reveal blocked JavaScript (ad blockers), tag misconfiguration, or misattributed conversions from cross-domain redirects.
| Funnel Stage | Primary KPI | Common issues |
|---|---|---|
| Top of Funnel (TOF) | Landing page CTR | Mismatch between ad promise and landing headline |
| Middle of Funnel (MOF) | Engagement, time on page, scroll depth | Confusing benefits, unclear social proof |
| Bottom of Funnel (BOF) | Form submissions / purchases | High friction forms, unexpected costs, slow checkout |
If you need a refresher on how these stages connect to paid media and long-term growth systems, see our services overview: Prebo Digital services.
Tip: Always run diagnostics in a controlled window (e.g., one week) and confirm changes with an A/B test. Data integrity before optimization saves wasted ad spend.
If you want an overview of our growth approach before diving deeper, visit our homepage: Prebo Digital homepage.
Run lightweight experiments that isolate one variable at a time: headline relevance, CTA copy, form length, and price disclosure. For eCommerce, test a clear price breakdown and shipping timing early in the page; for SaaS, test single-column pricing vs comparison tables. Keep test durations long enough to reach statistical significance for your traffic levels.
When troubleshooting low conversion rates on landing pages, prioritize revenue-aligned metrics over raw conversions. Example: if your eCommerce store sees a drop from 3.0% to 2.2% conversion rate, estimate revenue impact: on $100,000 monthly traffic with AOV $80, that 0.8 percentage point drop could be ~100 fewer orders (~$8,000 lost revenue). These are rough estimates for US stores; always validate with accurate server-side purchase events.
| Report | Primary metric | Why it matters |
|---|---|---|
| Landing page health | Conversion rate by source/device | Shows where to prioritize fixes |
| Attribution clarity | Server-side vs browser conversion delta | Identifies measurement gaps |
| Revenue impact | MER, CAC, and LTV direction | Aligns optimizations to profitability |
If you want a concise technical audit or to discuss a targeted experiment, see our contact page for next steps: Contact Prebo Digital. Our approach follows strategy → build → test → scale → report to protect CAC and improve long-term profitability; learn more about our team on the about page: About Prebo Digital.
For US audiences, confirm your consent flow does not block essential tracking events. CCPA and similar state rules require transparent data handling; ensure server-side events have proper consent gating and that opt-out choices are respected while still providing accurate revenue reporting.
Example: A US Shopify store saw mobile conversions drop from 2.8% to 1.9%. The root cause was a third-party survey widget blocking the checkout button on older iOS browsers. Fixing the widget and rerouting the survey to a post-purchase flow recovered ~0.6 percentage points in conversion and reduced paid CAC by an estimated $12-$18 per customer (estimates depend on media mix).
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