Performance Marketing Specialist

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

WHAT WILL YOU BE RESPONSIBLE FOR?

• Own and execute media buying strategies across Google Ads, Meta Ads, Programmatic Ads (OTT, X, Snapchat, etc.), and other emerging platforms.

• Develop and manage a market mix model to optimise investments across channels.

• Plan, manage, and optimise monthly ad spends to achieve ROAS, CAC, and LTV targets.

• Build and refine full-funnel strategies (TOFU, MOFU, BOFU) for scalable growth.

• Analyse creatives and content performance to ensure alignment with audience behaviour.

• Collaborate with content and creative teams to guide ad storytelling and messaging.

• Run A/B and multivariate tests across creatives, audiences, placements, and bidding strategies.

• Leverage attribution models and Google Analytics (GA4) for accurate measurement of

performance.

• Build dashboards and automated reports to track and optimise campaigns in real-time.

• Stay updated on industry trends, platform innovations, and emerging advertising opportunities.

• Mentor and guide junior performance marketers and analysts on best practices.


WHO YOU ARE

• 8+ years of experience in media buying/performance marketing with a proven track record of

managing significant budgets and delivering strong ROI.

• Strong understanding of market mix modeling, attribution models, and conversion funnels.

• Hands-on expertise in Google Ads, Meta Ads, Programmatic Ads (OTT, X, Snapchat, etc.), and

advanced analytics tools.

• Proficiency with Google Analytics (GA4), Google Tag Manager, attribution tools, and other

campaign measurement platforms.

• Ability to analyse creative effectiveness and collaborate with content/brand teams.

• Excellent with data tools (Excel, SQL, or similar) for deep performance analysis.

• Strong problem-solving skills and the ability to simplify complex insights for stakeholders.

• Comfortable working in a fast-paced, high-growth environment and experimenting to find scalable solutions.

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