SKELAR - Product Marketing Manager / Growth Marketing Manager - GDx
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Requirements
• Minimum of two years' experience in the position as either a Product Marketing Manager or Growth Marketing Manager is required. • Experience with A/B testing and conversion rate optimization for lead magnets using tools like Google Analytics, Amplitude, Tableau (or similar alternatives). • Practical knowledge of conducting qualitative and quantitative market research to evaluate the success of experiments and test results postmortem analysis.
Responsibilities
• Design and implement marketing strategies for launching into markets in English-speaking parts of Europe. • Create full-funnel flows to increase conversion rates on new traffic channels with a creative team and user acquisition managers overseeing three active channels. • Generate hypotheses using data-driven approaches, while also encouraging creativity and agility in finding new audience segments and testing non-standard methods for business solutions. • Work within dynamic environments to take responsibility for results based on final performance metrics. • Develop full-funnel flows with a focus on increasing conversion rates from various traffic channels using design thinking principles, user research data insights, creative marketing teams, and UA managers overseeing three active channels of acquisition (e.g., Google Ads). • Optimize key funnel stages for lead generation through the creation of a fast Funnel Builder tool that allows rapid deployment to users on search engines like Google. • Identify high-intent audience segments and personalize their journey using data insights, design thinking principles, creative marketing teams, UA managers overseeing three active channels of acquisition (e.g., Google Ads), and a full-funnel flow approach to increase conversion rates from various traffic sources with the goal of increasing revenue for each channel by 20% in Q3/Q4 while maintaining or improving ROI on marketing spend across all three channels, including organic search. • Conduct A/B testing and analyze results using GrowthBook, Amplitude, Tableau (or similar tools), to troubleshoot issues with tracking events, measuring metrics, and analyzing trends for continuous improvement of the funnel design based on data insights from user research studies conducted in Q1. • Prioritize experiments by potential impact using a scoring system that considers both qualitative and quantitative factors such as expected ROI, customer lifetime value (CLV), conversion rates, cost per acquisition (CPA), etc., to determine which tests should be run first based on the highest scores for each factor. • Conduct post-experiment analysis using data insights from user research studies conducted in Q1 and A/B testing results analyzed with GrowthBook or similar tools, focusing on identifying successful experiments that led to statistically significant wins over control groups while also considering qualitative factors such as customer feedback. • Conduct quantitative evaluations of the funnel design using data insights from user research studies conducted in Q1 and A/B testing results analyzed with GrowthBook or similar tools, focusing on identifying areas for improvement based on conversion rates at each stage of the funnel to increase overall revenue. • Conduct qualitative evaluations of the funnel design using data insights from
Benefits
• Two+ years of experience in the position Product Marketing Manager or Growth Marketing Manager/Growth Marketing Manager. • Experience with creating and implementing go-to-market strategies for new markets within English-speaking Europe, including designing marketing full-funnels to increase conversion rates among users of our product. • Ability to find and scale targeted customer segments through the creation of unique journeys and personalization based on data analysis. • Experience in improving internal funnel builders for faster deployment of landing pages directed at potential customers, with a focus on A/B testing optimization key steps within conversion rate (CRO) campaigns using tools like GrowthBook or Amplitude, as well as troubleshooting issues related to tracking events and metrics. • Success in developing hypotheses from data analysis leading to statistically significant wins through continuous experimentation post-analysis with a focus on prioritization of experiments based on their potential impact.
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