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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
Focus on Technical Aspects
Data-Driven Decisions
Boost Conversion Rates
Conversion Rate Optimization (CRO) is a critical component of maximizing the effectiveness of your PPC campaigns, particularly when targeting US audiences. Technical CRO focuses on the backend and frontend improvements that directly impact the user experience and conversion rates. This approach is essential for PPC campaigns where every click counts towards your ROI.
To excel in technical CRO, it's crucial to understand the technical elements that influence a landing page's performance. These include page load speed, mobile responsiveness, and the integration of advanced analytics. By honing in on these areas, businesses can create landing pages that not only attract clicks but also convert visitors into customers.
A high-performing landing page is more than just visually appealing. It's a carefully crafted digital asset designed with specific technical components that drive conversions. Key elements include:
Technical tip: Use lazy loading for images to enhance page speed without compromising quality.
A/B testing is a fundamental technique in optimizing PPC landing pages. By comparing two versions of a page, businesses can identify which elements lead to higher conversion rates. It's essential to test one variable at a time-such as headlines, CTAs, or images-to isolate the effects accurately.
Implement a structured testing framework that aligns with your campaign goals. Regular testing will help uncover insights about your audience's preferences and behaviors, enabling continuous improvement in your landing page's performance.
Page speed and mobile optimization are non-negotiable for PPC landing pages aimed at US audiences. A delay of even a second can lead to a significant drop in conversions. Use techniques like:
Tip: Utilize tools like Google PageSpeed Insights to identify and fix speed issues promptly.
Leveraging data analytics is crucial for the ongoing optimization of PPC landing pages. By analyzing user behavior, you can pinpoint areas of improvement and make data-driven decisions. Metrics such as bounce rate, time on page, and conversion paths offer invaluable insights into how your audience interacts with your content.
Utilize tools like Google Analytics and heatmaps to gain a comprehensive understanding of user interactions. These insights allow you to refine your landing pages to better meet the needs and expectations of your audience.
User feedback is an often overlooked but powerful tool in optimizing landing pages. Collecting qualitative data through surveys, user testing, and feedback forms can provide a deeper understanding of user pain points and preferences.
Incorporate this feedback into your design process to ensure that your landing pages resonate with your audience. This approach not only enhances the user experience but also boosts conversion rates by aligning with user expectations.
Warning: Avoid making changes based solely on assumptions. Always validate with user data.
Advanced tracking mechanisms provide the granular insights necessary for precise optimization. Tools like UTM parameters, event tracking, and conversion pixels are instrumental in understanding how users arrive at and interact with your landing pages.
Implementing these tools enables you to track user journeys accurately and adjust strategies to enhance performance. Ensure that your tracking setup is robust and regularly updated to reflect the latest campaign goals.
A seamless user journey from ad to landing page is vital for maintaining user interest and driving conversions. Consistency in messaging, design, and value proposition across these touchpoints ensures that users have a coherent experience.
Align your ad copy with landing page content and ensure that the page fulfills the promise made in the ad. This alignment reduces bounce rates and increases the likelihood of conversion by meeting user expectations.
Tip: Use similar visual elements and language in both ads and landing pages to create a familiar environment for users.
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