About the role: You'll own the conversion path from ad click through to booked discovery call, with a specific focus on Everlab's landing pages and quiz.
We spend significantly on paid acquisition to bring people into our funnel.
Your job is to understand where and why people drop off, identify the highest leverage opportunities to improve conversion, and run a rigorous experimentation program to turn those opportunities into measurable growth.
We're looking for someone with 4+ years of hands-on CRO or growth experience who has run experimentation programs for high-volume consumer businesses.
You'll be comfortable owning the numbers, getting into the data, writing copy, shipping tests and making decisions based on evidence.
This is a full time hybrid role based in Sydney.
Our team works from the office three days per week.
Responsibilities and scope: Landing pages: Own conversion performance across every landing page in the paid acquisition funnel, from hero through to CTA.
Build and manage the roadmap of landing page experiments based on data, customer behaviour and commercial impact.
Develop hypotheses, run tests, analyse results and ship winning variations.
Focus on improving conversion, not simply making pages look better.




Identify and resolve gaps between paid acquisition messaging and the landing page experience.
Quiz optimisation: Own the performance of Everlab's quiz, including start rate, completion rate, drop-off and conversion to booked discovery call.
Analyse drop-off by question and continually test question order, phrasing and progressive disclosure.
Improve the quiz results page and its conversion into the next stage of the funnel.
Find the right balance between collecting enough information to qualify prospective members and keeping the experience simple enough to maximise completion.
Develop a clear point of view on how the quiz should evolve based on customer behaviour and experimentation.
Experimentation: Build and run a rigorous CRO experimentation program across landing pages and the quiz.
Develop hypotheses grounded in quantitative and qualitative data and prioritise tests based on expected impact.
Ensure tests have sufficient traffic, sample size and duration to produce meaningful results.
Maintain a clear decision log so learnings are captured and the team does not repeat previous experiments unnecessarily.
Establish a consistent testing cadence and continually increase the speed and quality of experimentation.
Customer behaviour

📌 Conversion Rate Optimisation Manager (New South Wales)
🏢 Everlab
📍 New South Wales