Fashion Advertising Specialist, Client Experience

Job Description:

• Support execution and performance of paid advertising campaigns across the book of business
• Partner with lead Strategists or independently own end-to-end strategy for select core clients
• Manage reporting, optimizations, routine campaign management, budgets, pacing, and performance monitoring
• Maintain accurate setup, tracking, naming conventions, and rigorous QA across Meta, Google, TikTok, and other paid advertising platforms
• Execute and optimize paid advertising programs end-to-end, including ad builds, reporting, pacing, and ongoing monitoring
• Identify growth opportunities, form test hypotheses, and recommend data-backed optimizations aligned to client goals
• Maintain client objectives, constraints, and brand nuances in strategic and executional decisions
• Manage client testing roadmaps, project next steps, and experiment prioritization
• Deliver on-time campaign launches, updates, and key deliverables
• Prepare and present performance reports and recaps using clear data storytelling
• Leverage Power Digital’s Nova ecosystem, including Power Circuit and nova Creative Affinity
• Introduce ideas, efficiencies, frameworks, and process improvements
• Utilize AI technologies to improve efficiency, performance analysis, and operational workflows
• Meet KPIs including $20K revenue/employee and 90% client retention

Requirements:

• 1-2 years of digital marketing experience
• 1+ years of experience with Direct Response marketing specifically in E-Commerce; Lead Gen and B2B a plus
• 1+ years experience with Meta or Google Ads for direct response campaigns; additional platforms a plus (TikTok Ads, LinkedIn Ads, Pinterest Ads, etc.)
• 1+ years experience leading paid advertising strategy for direct response marketing efforts
• 1+ years experience with Google Analytics and Shopify; other technical platforms a plus
• 1 year experience client facing and handling communications
• Excellent Excel skills with clear understanding of advanced Excel features
• Excellent data analytics skills
• Highly dependable, self-starter, high energy, positive attitude with good organization and time management skills
• Entrepreneurial spirit with a passion for problem-solving, continued learning, and personal development
• Advanced spoken and written English proficiency required

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