I went straight to upsells and combos which felt obvious in hindsight.
Start by clarifying the goal and defining AOV, then structure your answer around the key levers: increasing basket size, upselling, cross-selling, and pricing strategies. Use a data-driven approach to identify opportunities and prioritize initiatives based on impact and feasibility.
Pro tip: Demonstrate deep understanding of Swiggy's business model and user behavior by referencing specific features like Swiggy One or Instamart, and suggest experiments with clear metrics to show product sense.
Clarify the objective: Is the goal to increase AOV overall or for specific user segments? Define AOV as total revenue divided by number of orders, and consider if there are constraints like profitability.
Break down AOV by user segments, order types, and categories. Identify patterns: which users have high AOV, what items are frequently bought together, and where the drop-offs occur.
Brainstorm potential levers: product recommendations, bundling, loyalty programs, dynamic pricing, minimum order thresholds, and promotions. Map each lever to its potential impact on AOV.
Prioritize initiatives using an impact-effort matrix. Design A/B tests with clear success metrics (e.g., AOV lift, conversion rate) and iterate based on results.
Measure the impact of successful experiments, ensure they don't negatively affect other metrics (e.g., order frequency), and scale them across user segments.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.