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Performance Marketing Specialist

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Age:
Upto 40
Salary:
4.8 To 7.2 LPA 
Location: Kolkata
Camac Street 
Job Description:
We’re seeking a Performance Marketing Specialist with B2C experience to drive lead-generation efforts and optimize sales funnels. You’ll focus on increasing the volume of qualified leads, improving ad spend efficiency, and refining messaging and targeting to reach key decision-makers. The ideal candidate will have experience scaling online sales and managing budgets efficiently. You’ll oversee the entire paid advertising lifecycle, from audience research to performance analysis.
Key Responsibilities:
Campaign Strategy & Execution:
Develop, implement, and manage performance marketing campaigns across multiple platforms (Google Ads, Facebook, Instagram, LinkedIn, etc.) to drive traffic, conversions, and revenue growth.
Channel Optimization:
Continuously monitor and analyze campaign performance across paid search, social, display, and affiliate channels to ensure efficient spending and maximize return on ad spend (ROAS).
Data Analysis & Reporting:
Track, measure, and analyze campaign KPIs, using platforms like Google Analytics, Facebook Ads Manager, and other analytics tools to assess performance and identify growth opportunities.
Develop weekly, monthly, and quarterly reports on campaign metrics, including traffic, conversions, cost-per-click (CPC), click-through rate (CTR), and ROI.
Budget Management:
Plan, allocate, and manage budgets across different campaigns and channels, ensuring cost efficiency while achieving target KPIs.
Stay Informed of Industry Trends:
Stay updated on the latest trends in digital marketing, industry best practices, and platform changes to ensure the company remains competitive
Qualifications:
Bachelor’s degree in Marketing, Business, or a related field.
Skills Required:
5+ years of experience in performance marketing, digital advertising, or a similar role.
Technical Skills:
Proficiency in Google Ads, Facebook Ads, and other PPC platforms.
Familiarity with conversion tracking and attribution modeling