eCommerce Pricing Strategy: How to Use Your Data to Price for Maximum Profit

Why cost-plus and competitor pricing underperform#

Cost-plus pricing ignores what customers are willing to pay — which is often more than your formula suggests. Competitor pricing (matching or undercutting the cheapest option) enters you into a race to the bottom that destroys margin for everyone. Both approaches anchor pricing to something other than what actually maximises profit: the value your customers place on your product.

How to read price elasticity from your own data#

Price elasticity measures how demand changes when price changes. If you have run promotions or tested different price points, your historical data contains elasticity signals. Compare conversion rates at different price points: if a product converted at 4.2% at £25 and 3.1% at £30, demand fell 26% when price rose 20% — highly elastic. If it converted at 4.2% at £25 and 3.9% at £30, demand barely moved — relatively inelastic. Inelastic demand means you can raise prices with minimal volume impact.

The profit-maximising price point#

The profit-maximising price is not the price that maximises revenue — it maximises the combination of margin per unit and units sold. For a product with a £10 cost of goods: at £25 (£15 margin), selling 200 units = £3,000 profit. At £35 (£25 margin), selling 150 units = £3,750 profit. At £45 (£35 margin), selling 80 units = £2,800 profit. The £35 price point maximises profit despite lower volume.

Using promotional data to map demand curves#

Every promotion you run creates a natural price experiment. Compare conversion rate and sales volume during promotional periods to normal periods to build a rudimentary demand curve. If your 20% off promotion drove 2x the volume, demand is moderately elastic at that price range. If it drove 3x the volume, demand is highly elastic. If it drove 1.3x the volume, demand is inelastic and you may be underpricing the product normally.

Segment-level pricing intelligence#

Different customer segments have different price sensitivity. Repeat customers who already know your brand often have lower price sensitivity than first-time visitors who are comparison shopping. Customers arriving from organic search tend to have higher purchase intent and lower price sensitivity than those from broad paid social. Understanding which segments are price-sensitive allows pricing decisions that preserve margin with loyal customers while remaining competitive for acquisition.

How AskBiz helps with pricing decisions#

AskBiz analyses your price and conversion history to surface pricing insights. Ask: what is the conversion rate impact of my last price increase on Product X, which of my products have the highest price elasticity based on historical promotion data, what is the profit-maximising price on Product Y given my current cost of goods. It also alerts you when competitor prices change significantly so you can assess the competitive response before customers notice.