Pricing optimization sets prices that win sales without giving away margin. It depends on knowing what competitors charge, how demand responds to price and which products shoppers compare directly.
Pricing data tracks competitor and market prices, promotions and availability over time across retailers and marketplaces. E-commerce product data provides the attributes, identifiers and images needed to match like-for-like items across stores, which is often the hardest step. Retail sales data shows how units and revenue respond to price changes, promotions and seasonality, the basis for estimating elasticity.
A typical workflow
- Match your catalogue to competitor products by identifier and attributes.
- Monitor prices, promotions and stock as often as your market moves.
- Estimate elasticity from your sales and market data.
- Set rules or models, then test changes on a subset of products.
What to check before you buy
Ask about product match quality, collection frequency, coverage of the retailers and regions you compete in and whether prices include shipping, member discounts or third-party marketplace sellers. Confirm that collection respects site terms and does not rely on bypassing logins.