I help businesses convert more of the traffic they already have. That means running real A/B tests, reading the behavior data, fixing the friction in the funnel, and measuring the result. No guesswork.
Six areas of conversion work, from landing pages to full funnel analysis.
I test headlines, copy, layout, and calls to action until the page earns the traffic already coming to it.
I map where visitors enter, where they leave, and what is getting in the way of them doing what you want them to do.
Structured tests, run to statistical significance, so you know which version actually works rather than which one looks better.
Heatmaps, session recordings, and user surveys to see what real visitors do and where they get stuck.
Product pages, cart flows, and checkout steps, tested and tightened to reduce abandonment and lift order value.
Forms, CTAs, and lead magnets tested to bring in more enquiries and better qualify the ones that come in.
Three examples of what the work looked like and what it produced.
High traffic but low conversion rates with 68% cart abandonment rate and poor mobile experience leading to lost sales
Comprehensive CRO strategy including mobile-first redesign, simplified checkout process, trust signals, and cart abandonment recovery
The work on our store was thorough and the results were real. We are now converting visitors we never could before.
Poor lead form completion rates and low-quality leads resulting in high customer acquisition costs and long sales cycles
Optimized lead capture forms, implemented progressive profiling, redesigned landing pages, and created high-value lead magnets
Our lead generation went from struggling to thriving. The quality of leads and conversion rates exceeded all expectations.
Low online booking rates with customers preferring phone calls, resulting in missed opportunities and inefficient scheduling
Streamlined booking process, trust signal implementation, mobile optimization, and automated follow-up sequences
Online bookings are now our primary source of appointments. The system runs itself and our customers love the convenience.
Four steps, repeated: audit, hypothesize, test, implement. Then start again.
Comprehensive analysis of your current conversion funnel, user behavior, and optimization opportunities.
Create data-driven hypotheses for testing based on user research, analytics, and conversion best practices.
Design and implement A/B tests and conversion experiments with proper tracking and statistical rigor.
Analyze test results, implement winning variations, and continue iterative optimization for sustained growth.
Directional data on conversion lift, testing speed, and channel differences.
AI-powered methods deliver exponentially better results
Autonomous AI runs 35x more tests simultaneously
Voice commerce delivers 2.7x higher CTR and 45% higher AOV
I have spent more than ten years doing this. Here is what that looks like in practice.
Every optimization decision is backed by data analysis, user research, and statistical testing to ensure sustainable improvements.
Rigorous A/B testing methodology with proper statistical analysis to identify winning variations and avoid false positives.
Deep understanding of user psychology and behavior patterns to create experiences that naturally guide visitors toward conversion.
Ongoing testing and optimization program that continuously improves performance rather than one-time fixes.
The testing and analytics stack, chosen to fit your existing setup.
Conversion problems look different in each sector. I adapt the approach to fit.
Get answers to common questions
Initial improvements can be seen within 2-4 weeks of implementing basic optimizations. Statistically significant A/B test results typically require 2-6 weeks depending on your traffic volume. Comprehensive CRO programs show substantial results within 3-6 months.
Results vary by industry and starting point, but I typically see 20-50% improvements in the first phase, with potential for 100-300% improvements over 6-12 months. The key is systematic testing and continuous optimization rather than one-time fixes.
Yes, I adapt the approach based on traffic levels. For lower-traffic sites, I focus on qualitative research, user experience improvements, and proven best practices before moving to statistical testing. This ensures improvements even without large sample sizes.
I prioritize tests based on potential impact, implementation effort, and statistical confidence requirements. High-traffic pages with poor performance get priority, followed by elements that affect the most users in your conversion funnel.
I use a combination of tools including Google Optimize for A/B testing, Hotjar for user behavior analysis, Google Analytics for data analysis, and various landing page builders. The specific tools depend on your needs and existing tech stack.
Absolutely. Mobile conversion optimization is crucial as mobile traffic often has different behavior patterns. I optimize for mobile-first experiences, fast loading times, thumb-friendly navigation, and simplified conversion processes.
A simplified view of how visitor behavior informs optimization decisions.
I start with a conversion audit: a look at your funnel, your data, and where the real friction is. We talk through what I find and decide together where to go next.