I went straight to ads and immediately second-guessed myself mid-sentence.
Start by clarifying the goal: is it to maximize revenue, user engagement, or ecosystem growth? Then segment users and use cases to identify monetization opportunities that align with Google's strengths and user value, and prioritize based on feasibility and impact.
Pro tip: Emphasize that monetization must not degrade the core user experience; consider how Google's existing business models (ads, subscriptions, commerce) can be extended naturally to Assistant.
Ask clarifying questions to understand the primary goal (e.g., revenue, user growth, ecosystem lock-in) and any constraints (e.g., privacy, user trust).
Identify different user segments (e.g., free vs. power users, households vs. individuals) and key use cases (e.g., shopping, smart home, entertainment) to tailor monetization strategies.
Generate potential models such as advertising, premium subscriptions, transaction fees, commerce commissions, and enterprise solutions.
Assess each model against criteria like revenue potential, user impact, strategic fit, and implementation complexity; prioritize the most promising ones.
Outline key success metrics (e.g., ARPU, conversion rate, retention) and propose a phased rollout to test and iterate.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.