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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
Align measurement
Prioritise experiments
Scale with confidence
Working with a PPC and CRO agency to optimise your website moves the conversation from clicks to dollars. PPC brings predictable traffic; CRO turns that traffic into repeatable revenue. When those functions operate as a single growth loop you prioritise profitability, cleaner attribution, and sustainable customer acquisition cost (CAC) improvements - not just higher click volume. This guide explains how to structure that partnership and what to expect when optimising a Shopify or WooCommerce site in the United States.
A high-performing agency integrates five disciplines: campaign strategy, landing page experience, analytics and tracking, experimentation, and measurement-backed scaling. The agency should map paid channels (Google Ads, Meta, TikTok) to funnel stages (TOF → MOF → BOF) and build experiments that prove LTV and profit impact, not vanity metrics.
| Layer | Client-side | Server-side |
|---|---|---|
| Event capture | Browser JS (GA4 gtag, pixel) | Server container receives validated events |
| Resilience | Affected by ad-blockers and cookie restrictions | Improved delivery and deduplication before forwarding |
| Best use | Quick setup, basic conversion visibility | Accurate attribution and cross-platform deduplication |
Key principle: prioritise a single source of truth for conversions (server-side aggregation + GA4) and use that for bid strategies and A/B test validation.
If you want a single reference that explains the services an integrated team typically delivers, see our Services Overview for examples of retained engagements and capability stacks. For an agency approach and team orientation, review our background at the About Prebo Digital.
Start with a measurement audit: validate GA4 events, pixel firing, and server-side collection. Common US eCommerce issues include deduplication errors between Google Ads and platform conversions and CCPA consent gating. The audit should also map highest-value PPC landing pages and identify quick UX wins (checkout friction, mobile form errors).
Create clear hypotheses with expected lift and ROI. Example: "Reduce checkout steps to increase conversion rate from 2.0% to 2.4% - estimated +20% revenue." Use sample-values in a US context: if average order value is $85 and monthly paid traffic is 20,000 sessions at 2% CR, an increase to 2.4% is an estimated additional 96 orders and ~$8,160 monthly incremental revenue (estimates for illustration).
Implement server-side tagging (where appropriate), GA4 event validation, and consistent UTM structures for experiments. For Shopify stores, ensure checkout event forwarding and robust thank-you page events. You can read a practical services breakdown on the Prebo Digital homepage to align expectations on tracking and development tasks.
Run A/B tests with pre-defined sample sizes and significance thresholds. Important: use the same measurement source for both the experiment and paid-bid optimisation to avoid conflicting signals. If a CRO test improves conversion rate, update PPC landing page assets and reallocate budgets toward winning audiences.
Once an experiment proves positive impact to revenue or CAC, scale via audience expansion and bid automation. Maintain attribution clarity by deduplicating conversions at the server-side and feeding a single conversion signal back to ad platforms. For long-term partnerships and retainer structures, agencies commonly formalise monthly cycles of strategy → build → test → scale → report. If you'd like to discuss a tailored plan, use the contact page to request a growth audit.
| KPI | Why it matters | Sample target (US eCommerce) |
|---|---|---|
| CAC (paid) | Directly affects profitability | $30-$80 depending on LTV and category (estimate) |
| Conversion Rate | Primary driver of ROAS and MER | 1.5%-4% baseline; goal is relative lift |
| Revenue / Month | Tangible business outcome | Use incremental revenue vs control as the test metric |
An integrated PPC and CRO approach is built for sustained profit improvements: cleaner attribution, better experiments, and more efficient ad spend. See how this structured framework applies to typical eCommerce stacks and growth retainers by exploring agency service structures on our Services Overview. Explore the framework and see a real-world example of aligning paid media with CRO experiments to move your CAC down and LTV up.
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