I spent the first few minutes trying to figure out who the actual user was here.
Start by clarifying the goal: increase advertiser ROI on Flipkart's e-commerce platform. Then, identify the key levers affecting ROI—targeting, ad formats, bidding, measurement, and attribution—and propose a product that addresses the most impactful gaps, such as an AI-driven campaign optimizer that dynamically allocates budget across ad products based on real-time performance.
Pro tip: Anchor your answer in Flipkart's specific context: emphasize how your product leverages Flipkart's unique data (e.g., purchase history, browsing behavior) to create a competitive advantage over Google and Amazon Ads. Also, quantify the impact by estimating potential ROI uplift and advertiser adoption.
Define what 'advertiser ROI' means for Flipkart (e.g., ROAS, conversion rate) and identify key constraints like advertiser segments (large brands vs. small sellers), available data, and platform capabilities.
Map the advertiser journey—from campaign setup to optimization to reporting—and pinpoint where ROI is lost (e.g., poor targeting, lack of transparency, manual bidding). Prioritize opportunities based on impact and feasibility.
Brainstorm features that directly improve ROI, such as automated bidding, lookalike audiences, or cross-channel attribution. Use a prioritization framework (e.g., RICE) to select the most promising concept.
Outline the core functionality of the chosen product, its target users, and how you'll measure success (e.g., advertiser ROI uplift, adoption rate, retention). Include a phased rollout plan.
Anticipate challenges like data privacy, advertiser trust, and competition. Propose mitigation strategies and a GTM plan to drive adoption among advertisers.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.