I went straight into upselling and cross-selling, like recommending add-ons at checkout, and then talked about bundling deals and minimum order thresholds for free delivery.
Start by clarifying the goal and defining AOV, then segment users and orders to identify levers. Structure your answer around product, pricing, and engineering strategies, and tie each to measurable impact and feasibility.
Pro tip: Emphasize experimentation and data-driven iteration: propose A/B tests for each strategy and mention how you'd measure success beyond AOV, such as retention and margin.
Confirm what 'average order value' means (e.g., per user, per order) and the platform's current goals. Ask about constraints like user experience and restaurant partnerships.
Break down users by behavior (e.g., frequency, spend) and orders by composition (e.g., items, cuisine). Identify high-potential segments and patterns that drive higher AOV.
Generate strategies across product (bundles, recommendations), pricing (free delivery thresholds, discounts), and engineering (personalization, dynamic pricing). Prioritize by impact and effort.
Propose A/B tests for top strategies, defining success metrics (AOV, conversion, retention) and guardrails (e.g., delivery time, customer satisfaction).
Outline how to analyze results, scale winners, and iterate. Discuss potential trade-offs and long-term effects on user loyalty and restaurant partners.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.