I went straight into cost-plus thinking and immediately felt the interviewer pull back a little.
Start by clarifying the objective of pricing Amazon Prime—whether it's to maximize adoption, revenue, or profitability—and then segment the market to understand willingness to pay. Use a value-based approach, quantifying the bundle's benefits (shipping, video, music, etc.) and comparing to alternatives, while considering competitive dynamics and long-term strategy.
Pro tip: Anchor your analysis on customer lifetime value (LTV) and the flywheel effect: Prime members spend significantly more on Amazon, so pricing should optimize for long-term ecosystem value, not just subscription revenue.
Clarify the primary goal (e.g., growth, profitability, retention) and any constraints (e.g., competitive landscape, Amazon's overall strategy). This sets the direction for pricing decisions.
Identify key customer segments (e.g., frequent shoppers, media consumers) and estimate their willingness to pay for the bundle using surveys, conjoint analysis, or historical data.
Calculate the standalone value of each component (shipping, video, music, etc.) and the incremental value of bundling. Compare to the cost of alternatives to justify the price.
Assess competitor pricing (e.g., Netflix, Walmart+) and market trends. Consider how Amazon's price positioning affects adoption and competitive response.
Propose a specific price (or tiered structure) with rationale, and outline a testing plan (e.g., A/B tests, pilots) to validate and refine the price.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.