• You are the conversion performance engine for LawnStarter. You own the landing pages in Webflow, build and run A/B tests in VWO, and use AI, Tableau and Hotjar to find the next thing to test. • You report to the CMO and are the primary executor moving the visit-to-customer rate — the metric that matters most for growth. • You build variations yourself, configure goals yourself, debug tracking yourself, and ship yourself. You have no engineering support and you don't need it. Your Webflow and VWO skills are production-grade. • Today this is a solo operator role. The expectation is that you build the program, prove the value, and design the function that scales it. • You own the full stack — pages, tests, tracking, analysis — with zero engineering dependency. • You build the methodology, run the tests, and feed learnings back into the next cycle.

• Strategic optimization: You are responsible for the continuous increase of conversion rates across the entire funnel — from the first click on the landing page to a qualified lead inquiry. • Hypothesis-driven testing: You design, prioritize, and manage systematic A/B and multivariate tests to remove user friction and continuously improve lead quality. • User experience & journey: In close collaboration with our website team, you optimize landing pages and funnel logic to create a first-class user experience. • Data-driven insights: You use tools such as Google Analytics and Hotjar to analyze user behavior in depth and derive data-backed recommendations for web performance. • Interface management: You work closely with Performance Marketing to ensure ad creatives and landing page experience are perfectly aligned to sustainably reduce Customer Acquisition Cost (CAC). • Innovation & trends: You monitor trends in CRO and AI and translate them into concrete growth levers for 1KOMMA5°.

About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — and building a world-class conversion engine is our next major bet in that direction. About the Growth Team The Growth team owns the full customer acquisition funnel — from ad click to first completed service. We acquire 150,000+ new customers per year across paid, organic, and partner channels. Our CMO owns the visit-to-customer rate, and every point of improvement flows directly to revenue. We're building a rigorous experimentation program across the acquisition funnel, and this role is the person who makes that real. The Challenge We know experimentation works. We've seen tests move conversion meaningfully. We have a testing program, methodology standards, a learning repository, and a coordination layer — but no one owns it full-time. Meanwhile, we're migrating our landing pages to Webflow, which gives us full control over the pages that receive all inbound traffic — no engineering dependency, no sprint queues. The opportunity is massive, but only if there's a dedicated person behind the wheel. The Role You are the conversion performance engine for LawnStarter. You own the landing pages in Webflow, build and run A/B tests in VWO, and use AI, Tableau and Hotjar to find the next thing to test. You report to the CMO and are the primary executor moving the visit-to-customer rate — the metric that matters most for growth. This is not a strategy-and-slides role. You build variations yourself, configure goals yourself, debug tracking yourself, and ship yourself. You have no engineering support and you don't need it. Your Webflow and VWO skills are production-grade. Today this is a solo operator role. The expectation is that you build the program, prove the value, and design the function that scales it. What makes this role different: - You own the full stack — pages, tests, tracking, analysis — with zero engineering dependency - We have a conversion testing program and piping in place — you're the first dedicated owner to scale it into a rigorous experimentation function - AI is embedded in your workflow — hypothesis generation, analysis, variation content — not a nice-to-have What You'll Own - Conversion performance — visitor-to-lead (landing pages you control directly) and lead-to-customer (booking funnel you optimize via testing). These two levers compound into the visit-to-customer rate. - Webflow and landing page architecture — paid landing pages, thousands of organic city/near-me pages across all brands and services, and the CMS structure that makes them scalable without engineering. You own conversion optimization across the entire landing page surface area. - The experimentation program — a multi-quarter testing roadmap for the acquisition funnel, from ad click to first completed service. You build the methodology, run the tests, and feed learnings back into the next cycle. - AI-accelerated testing workflow — use AI for hypothesis generation from behavioral data, result summaries within 24 hours of test completion, and variation copy/design briefs that increase test throughput. - The experimentation function model — by end of Year 1, you've documented the team structure, tooling stack, and processes needed to scale from solo operator to a repeatable function. Problems to Solve Moving the visit-to-customer rate Two isolated levers compound into one metric: visitor-to-lead (landing page conversion you own directly) and lead-to-customer (booking funnel conversion you optimize via testing). Both have room to grow, both swing seasonally, and improving one without the other leaves value on the table. How do you move both simultaneously across all channels and brands? Capitalizing on the Webflow migration For the first time, marketing controls production pages — no engineering dependency, no sprint queues. Paid search landers, thousands of organic city and near-me pages, partner pages, referral pages, home pages, paid social landers — all moving to Webflow, all needing conversion optimization. How do you build scalable CMS architecture, improve Core Web Vitals, and start running high-velocity tests the moment you have the keys? Embedding AI into every stage of the workflow We don't want AI as a side project. Hypothesis generation from session data and heatmaps. Result readouts compressed from days to hours. Variation copy drafted before the designer opens Figma. How do you build an AI-native experimentation workflow that makes manual-only approaches feel slow by comparison?

• Prowadzenie testów A/B i wielowariantowych w celu optymalizacji ścieżki zakupowej • Analiza danych użytkowników (w tym: porzucone koszyki, współczynniki konwersji, współczynnik odrzuceń) w poszukiwaniu obszarów do poprawy • Projektowanie i optymalizacja landing pages, formularzy, CTA oraz elementów nawigacji • Tworzenie i testowanie wireframe’ów oraz prototypów – w ścisłej współpracy z zespołem marketingu i IT • Mapowanie i optymalizacja customer journey od pierwszego kontaktu aż po finalizację zakupu • Wdrażanie rozwiązań w zakresie personalizacji doświadczeń użytkowników • Monitorowanie i raportowanie wyników testów oraz rekomendowanie dalszych działań • Ścisła współpraca z zespołami performance marketingu, SEO, contentu i developmentu • Śledzenie trendów w UX/CRO i proponowanie innowacyjnych rozwiązań