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Data-driven checkout flow optimization using heatmaps, session recordings, and GA4 funnel analysis. More revenue from your existing traffic — no ad budget increase needed.
I increase your store's revenue without increasing your ad spend. I analyze user behavior with Hotjar, Microsoft Clarity, and GA4, pinpoint drop-off points in the purchase funnel, and run targeted A/B tests on the highest-impact elements — headlines, CTAs, product images, checkout steps. Average conversion rate improvement across my clients: 25–40%.
Data over guesswork — every proposed change is backed by heatmaps, session recordings, and GA4 data, not intuition or industry benchmarks.
Precise drop-off identification in the purchase funnel — I know exactly where and why customers abandon the cart before changing a single element.
A/B tests on the highest-conversion-impact elements: product headlines, CTA buttons, image galleries, checkout flow, and shipping method presentation.
Mobile-first optimization — over 60% of e-commerce traffic comes from phones, yet mobile conversion rate is typically 3x lower than desktop; this is the biggest untapped lever.
Post-test report with findings and the next test hypothesis — a continuous optimization loop, not a one-time engagement.
I configure or audit GA4, Hotjar, and session recordings, analyze the conversion funnel, and identify the 3–5 highest-priority drop-off points that will generate the biggest revenue uplift.
Based on data and UX behavioral patterns, I form specific, measurable hypotheses: 'Changing checkout button text from X to Y will increase conversion by at least Z%.'
I design and build the experiment variant, configure the A/B test in Google Optimize or VWO with proper traffic split and conversion event tracking.
After reaching statistical significance (min. 95% confidence), I analyze results, implement the winning variant, and formulate the hypothesis for the next test.
Minimum 1,000 unique weekly visitors to the tested page to reach statistical significance in a reasonable timeframe. For lower-traffic stores, I focus on qualitative data optimizations (heatmaps, session recordings) rather than formal A/B tests.
I deliver concrete recommendations and identified issues within 2 weeks of data collection. First A/B test results are visible 3–6 weeks after launch, depending on traffic volume.
CRO and marketing amplify each other. Improving conversion from 1.5% to 2.5% means the same ad budget generates 67% more sales. It's the fastest way to increase ROAS without increasing spend.
Initiate protocol. Establish connection. Let's build something loud.