System StatusOnline
NAV
Increasing the % of visitors who purchase. A/B testing, checkout optimization, psychology-based design.
You don't need more traffic—you need better conversion of existing traffic. I run A/B tests on key elements: headings, CTAs, product images, and checkout steps. Average conversion uplift: 25-40%.
Hypothesis-driven testing framework based on data, not intuition.
Design and development of 2 variants (control + experiment) per A/B test.
Configuration in Google Optimize or VWO with proper statistical rigor.
4-week test period with a minimum of 1,000 visitors per variant.
Detailed report with results, insights, and recommendations for the next test.
Based on analytics and user research, I formulate a testable hypothesis.
I create the experiment variant with UX-optimized changes.
I configure the A/B test with proper tracking and statistical framework.
I monitor the test, collect data, and analyze results after 4 weeks.
We aim for 95% confidence level and 80% statistical power—the industry standard for CRO.
Minimum 4 weeks (to collect ~1,000 visitors per variant).
That's also valuable information. We've learned what does NOT work and I prepare the hypothesis for the next test.
Initiate protocol. Establish connection. Let's build something loud.