Dynamic Pricing is a strategy where product prices are adjusted in real-time or near-real-time based on factors like demand, competitive pricing, inventory levels, customer segment, and time of day.
Common dynamic pricing approaches:
- 1Demand-based: Prices increase when demand is high (e.g., seasonal products, trending items)
- 2Competitive: Prices adjust based on competitor monitoring
- 3Segment-based: Different pricing or offers for different customer segments
- 4Time-based: Flash sales, happy hour pricing, weekend discounts
Dynamic pricing in e-commerce:
While airlines and hotels have used dynamic pricing for decades, e-commerce adoption is growing. The key is balancing revenue optimization with customer trust — aggressive price fluctuations can erode confidence and feel manipulative.
Ethical considerations:
- Be transparent about promotional pricing
- Avoid charging loyal customers more than new ones
- Ensure pricing is consistent within a single shopping session
- Use customer segmentation to offer targeted discounts rather than inflated base prices
Data requirements:
Effective dynamic pricing requires real-time analytics: demand signals, inventory data, competitive intelligence, and customer segmentation. Without robust data infrastructure, dynamic pricing can do more harm than good.
