Price Differences Between Physical and Online Retail, and Elasticity Strategies to Raise Revenue

Answer

Part (a) — Why prices differ between physical and online retail [10]

The price of a good is set where market demand meets market supply. A difference in price between the physical and online channels for the same product therefore reflects differences in the position of the demand and supply curves across the two markets, and the size of any difference reflects the elasticities.

Demand-side factor — tastes and preferences. Many consumers prefer to buy in person: they can inspect goods, take them home immediately, and receive personalised service. This stronger preference places the demand for the physical-channel product to the right of the online-channel demand, raising the physical-channel price.

Supply-side factor — costs of production. Physical retailers bear costs that pure online sellers avoid — store rental, utilities, and shop-floor wages. Their higher costs of production place the physical-channel supply curve to the left of the online-channel supply, again raising the physical-channel price.

Why some differences are large — the elasticities. The magnitude of the price gap depends on price elasticity of demand. Demand for a product in the physical channel tends to be more price-inelastic (fewer close substitutes available at hand), whereas demand in the online channel is more price-elastic because rival sellers’ prices are one click away. When rising costs contract supply, the resulting price rise is much larger where demand is inelastic (physical) than where it is elastic (online), so the gap between the two channels widens. (Symmetrically, where price elasticity of supply differs, a given demand change moves price by different amounts across the channels.)

Part (b) — Elasticity strategies to raise total revenue [15]

An online retailer seeking to maximise profit will look to raise total revenue, $TR = P \times Q$. The three demand elasticities — PED, YED and XED — each suggest a strategy, but each is conditional, and the binding constraint is that strategies built on elasticity estimates are only as good as those estimates.

Price elasticity of demand — pricing and product differentiation. Demand for an online retailer’s products is typically price-elastic ($PED>1$) because close substitutes are readily found online. With elastic demand, cutting price raises total revenue: quantity demanded rises more than proportionately, so the gain in revenue from extra units outweighs the loss from the lower price. Alternatively, the manager can act on the elasticity itself: by differentiating the product — exclusive lines, superior service, a recognisable brand — demand is made more inelastic, after which raising price increases revenue because quantity falls less than proportionately. The brick-and-mortar stores and personalised services described in the preamble are precisely such a differentiation move.

Cross elasticity of demand — responding to rivals. With many competing online sellers, a retailer’s products have a high positive XED with rivals’ products, so a rival’s price cut sharply reduces the retailer’s own demand and revenue. The manager may match the cut to defend sales, or — better — use advertising and branding to weaken the substitution relationship, lowering the XED so that rivals’ pricing has less effect on its own revenue.

Income elasticity of demand — adjusting the product mix. YED lets the manager tailor the range to economic conditions: stocking income-elastic luxuries ($YED>1$) when incomes are rising to capture more-than-proportionate demand growth, and shifting toward necessities ($0<YED<1$) or even inferior goods ($YED<0$) when incomes fall, protecting revenue through the cycle.

Judgement. The elasticity concepts give a coherent toolkit — cut price where demand is elastic, differentiate to make it inelastic, blunt rivals’ XED, and rotate the product mix on YED. But their usefulness is bounded. Elasticity values are hard to estimate accurately and are not constant; they shift with the availability of substitutes, the time horizon, and consumer expectations, so a strategy calibrated to a stale estimate can reduce revenue. Rivals also respond — a price cut justified by elastic demand can trigger a price war that erodes everyone’s revenue. On balance, elasticity analysis is a necessary guide to revenue strategy but not a sufficient one; it works best when the retailer can credibly differentiate, since making its own demand inelastic is the most durable route to raising total revenue.