pricinget

Pricinget is a term used in pricing science to denote a curated collection of price points and related price signals used for analysis, experimentation, and optimization of product pricing across products, channels, and time. The term is not universally standardized and its exact scope can vary by organization.

A pricinget typically includes base prices, discount levels, promotional prices, bundle or tier combinations, and channel-specific price variants. It may also incorporate surcharges, seasonal adjustments, and price changes tracked over time. The set is designed to cover a representative range of demand scenarios to enable reliable modeling and testing.

Practitioners use pricingets as inputs to price optimization models, elasticity estimation, and scenario analysis. They support A/B testing, multivariate experiments, and regression-based forecasting to assess the impact of price changes on revenue and margins.

Pricingets are derived from historical sales data, cost information, competitive benchmarks, and market research. They are curated to balance statistical significance with practical relevance, and are often stored in a price matrix or database where each price point can be linked to product, segment, and time attributes.

In practice, a retailer might maintain a pricinget of 20 price points across a product family, used to run dynamic pricing experiments. A software company might define a pricinget across four subscription tiers and two billing frequencies. The concept is informal and can vary in meaning, which can lead to confusion with similar terms such as price list or price set.

See also: price optimization, dynamic pricing, elasticity of demand, price matrix, pricing strategy.