What automated discount personalization strategies work for cosmetics?

Demand Elasticity Analysis for Beauty Discount Optimization

Demand elasticity measures the relationship between discount depth and conversion response. Not all discount ranges produce equal conversion lift per discount dollar spent. Understanding your store's elasticity curve lets you identify the optimal discount level where incremental conversion gain per discount dollar is maximized before it starts to flatten.

Measuring Discount Elasticity

Identifying the Optimal Discount Point

The optimal discount point is where the marginal revenue from increased conversion equals the marginal cost of the deeper discount. In the example above, 10% is optimal because the lift per percentage point peaks at that level before declining. Going to 15% costs 50% more in discount but produces only 27% more conversion - poor economics.

This analysis must be done per audience segment. Price-sensitive first-time visitors may have a different elasticity curve than returning non-purchasers. Running segmented elasticity tests (3 discount levels x 3 audience segments = 9 campaign variants) reveals which segments respond to which levels, enabling precision targeting.

Growth Suite Elasticity Testing

Growth Suite's A/B Testing Module is the practical tool for elasticity analysis. Create three campaign variants at 10%, 15%, and 20% for the same audience, run simultaneously with equal traffic split, and compare revenue per visitor (not just conversion rate) across variants. The variant with highest RPV at the lowest discount level defines your optimal point - set all future campaigns to that level until retesting indicates audience behavior has shifted.