AI Retail Media Specialist
An AI Retail Media Specialist leverages artificial intelligence tools and machine learning models to plan, optimize, and scale adv…
Skill Guide
The end-to-end planning, execution, optimization, and measurement of paid advertising campaigns across retail media networks (RMNs) like Amazon Ads, Walmart Connect, Instacart Ads, Roundel, and Criteo Retail Media to drive product sales, market share, and customer acquisition at the point of purchase.
Scenario
You are launching a single, new kitchen gadget (ASIN B0XYZ) on Amazon. The goal is to achieve first-page visibility for 5-7 high-volume, relevant keywords within 30 days, while maintaining a target ACOS under 30%.
Scenario
A consumer packaged goods (CPG) brand's top-performing SKU is out of stock on Amazon for 2 weeks due to a supply chain issue. You manage $50k/month in retail media spend across Amazon, Walmart Connect, and Instacart. The brand manager demands you prevent total sales loss. How do you immediately adjust your strategy?
Scenario
As the Head of Retail Media, you are tasked with presenting the Board with a clear view of the true incremental return on ad spend (iROAS) from each retail media network (Amazon, Walmart, Roundel, Criteo) for your top 10 brands, and reallocating a $2M quarterly budget accordingly.
Use native platform consoles for direct campaign management and troubleshooting. Use third-party tools like Kenshoo or Pacvue for automated bidding, bulk operations, and cross-platform reporting at scale. Use Stackline for deep sales and share-of-voice analytics to inform strategy.
Apply the Diagnostic Framework to systematically troubleshoot performance issues. Structure campaigns using the Full-Funnel model to allocate spend to upper-funnel (Sponsored Brands, Display) and lower-funnel (Sponsored Products) tactics. Use TACoS as the north-star metric for balancing ad spend with organic sales growth. Use Marginal ROAS analysis to determine the point of diminishing returns on each platform and allocate the next dollar most efficiently.
Use AMC for advanced path-to-purchase analysis and audience insights beyond the Amazon walled garden. Regularly download and analyze raw search term and placement reports for keyword harvesting and bid optimization. Employ MMM for strategic, long-term assessment of media channel contribution including retail media's impact on offline sales.
Answer Strategy
The candidate must demonstrate a structured, phased approach. Use the 'Launch, Harvest, Expand' framework. Sample Answer: 'I would execute in three phases. First, in the Launch phase (Days 1-30), I would set up exact-match campaigns for the top 10 high-intent keywords identified via Brand Analytics and competitor ASIN targeting, coupled with an auto campaign for discovery. Second, in the Harvest phase (Days 31-60), I would mine search term reports to identify converting queries for new campaigns and implement negative keywording aggressively. Finally, in the Expand phase (Days 61-90), I would layer in Sponsored Brands and Sponsored Display for consideration, and use the 'Target ROAS' bidding strategy on converting keywords to scale profitably, while monitoring TACoS as the primary success metric.'
Answer Strategy
Tests diagnostic ability and systematic thinking. Sample Answer: 'On Amazon, our flagship product's ACOS spiked by 40% in one week. I applied a diagnostic checklist: 1. External factors: Checked inventory levels - we were still in stock. 2. Competitive landscape: Used a tool like Pacvue to see if competitors had increased bids. 3. Internal campaign data: Pull the Search Term Report and saw a surge in non-converting broad-match terms. The root cause was an algorithm change that matched our ads to irrelevant queries. I immediately added those terms as negative exact keywords, tightened match types, and implemented a new bid automation rule. Performance recovered within 10 days.'
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