We are looking for a data-driven Performance Marketing Specialist who can own paid acquisition performance, optimize CAC/CPO and ROAS, and contribute directly to revenue growth.
Responsibilities
Plan, launch, and optimize Performance Marketing campaigns across paid acquisition channels.
Manage and optimize Google Ads, Native Ads, Affiliate, Retargeting, and other relevant paid media channels.
Manage budgets and allocate spend based on channel performance and business priorities.
Analyze the funnel from impression and click through conversion and purchase.
Optimize CAC, CPO, CPA, ROAS, and revenue.
Design and execute A/B tests across creatives, audiences, landing pages, and campaign structures.
Identify funnel drop-offs and opportunities to improve conversion rate.
Work closely with Product, UX, CRM, SEO, Social, and Content teams.
Prepare daily, weekly, and monthly performance reports.
Evaluate not only conversion volume but also the quality and value of acquired customers.
Build and optimize retargeting and remarketing audiences based on user behavior.
Identify and test new acquisition channels and growth opportunities.
Forecast sales, spend, and CAC/CPO and recommend actions to achieve targets.
Monitor agencies and advertising vendors and evaluate their performance.
Build and improve performance and marketing analytics dashboards.
Key KPIs
Revenue
CPO / CPA
CAC
ROAS
Conversion Rate
Number of New Customers
Repeat Purchase / Customer Quality
Marketing Contribution Margin
Budget Efficiency
Requirements
2+ years of hands-on Performance Marketing experience.
Experience in E-commerce, preferably Fashion or Retail.
Strong practical knowledge of Google Ads and web analytics.
Working knowledge of GA4, Google Tag Manager, and attribution concepts.
Strong Excel / Google Sheets and data analysis skills.
Good understanding of funnel analysis and customer journey.
Experience with retargeting and audience segmentation.
Understanding of unit economics and metrics such as CAC, CPO, LTV, and ROAS.
Comfortable in a fast-paced, target-driven environment
What We Are Looking For Someone who sees Performance Marketing as more than buying ads—someone who can build a complete cycle of Data → Insight → Experiment → Optimization → Revenue and directly contribute to growth and profitability.
Job Requirements
Age
24 - 34 Years Old
Gender
Men / Women
Software
Microsoft Excel| Intermediate Google Analytics| Intermediate Google Tag Manager| Intermediate
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