My first instinct was to just say volume offsets the margin hit, which is fine but pretty surface level.
Clarify that the goal is to grow total revenue, not just volume, by leveraging price elasticity and cross-selling. Structure your answer around identifying elastic products, implementing targeted price reductions, and measuring the impact on basket size and overall revenue. Emphasize a data-driven, iterative approach with clear metrics.
Pro tip: Acknowledge that lowering prices can increase revenue only if demand is elastic and the incremental volume outweighs the margin loss; mention the importance of considering competitor reactions and operational constraints. Show that you understand the difference between revenue and profit, and that you'd monitor both.
Confirm that the goal is to grow total revenue (not profit) and understand any constraints like brand perception, supplier agreements, or operational capacity. Ask about the timeframe and available data.
Use historical sales data and price elasticity models to find products where demand is highly sensitive to price changes. Segment by customer demographics, geography, and shopping mission to target price cuts effectively.
Run controlled experiments (e.g., A/B tests across stores) with selective price cuts on elastic items. Consider complementary products and cross-selling opportunities to increase basket size.
Track changes in units sold, total revenue, basket size, and customer acquisition/retention. Compare against control groups to isolate the effect of price changes.
If results show revenue growth, roll out successful price reductions to more stores or products. Continuously monitor and adjust based on performance and competitive response.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.