Performance Marketing (Growth & Analytics Focus)
Requirements:
- Proficiency in English is a must, as this role requires collaboration with a global team.
- Minimum Bachelor's degree in Marketing, Data Science, Statistics, Economics, or another quantitative field.
- Hands-on experience managing and optimizing campaigns across Meta Ads, Google Ads, and TikTok Ads.
- Expertise beyond top-funnel metrics (CPA, ROAS, CTR). You must have a deep understanding of the full customer lifecycle and be able to analyze and report on activation, cohort retention, and Lifetime Value (LTV).
- Hands-on experience performing data analysis is required. Proficiency in SQL to query and manipulate data is essential for this role. Experience with Python for data analysis is a major plus.
- Proven ability to connect campaign performance data with user behavior data to uncover insights on what drives high-quality user acquisition and long-term retention.
- Strong understanding of KOL marketing and how to measure its downstream impact on business goals.
- Experience with data visualization tools to build insightful dashboards.
Responsibilities:
- Manage and execute performance marketing campaigns with a dual focus: achieving acquisition targets while maximizing the long-term value of acquired users.
- Conduct regular, deep-dive analysis on user cohorts and channel performance to understand the entire customer journey, from first touch to conversion, activation, and retention.
- Develop and implement full-funnel marketing strategies designed not just for user acquisition, but for acquiring users with a high propensity for engagement and long-term value.
- Own budget planning and allocation, optimizing spend based on a predictive LTV-to-CAC model to ensure sustainable, profitable growth.
- Design and execute a rigorous A/B and incrementality testing roadmap to understand the true causal impact of marketing initiatives.
- Partner with data, engineering, and product teams to refine tracking, improve data infrastructure, and develop a holistic view of the customer lifecycle.
- Work closely with the growth team, creative team, and product team to align messaging, audience targeting, and campaign goals based on data-driven insights.
- Translate complex analytical findings into clear, actionable reports and strategic recommendations for management.
