Pricing Analytics

Course Overview

Pricing Analytics focuses on the data‑driven methods organisations use to set, optimise, and manage prices across products and services. The course blends quantitative analysis, customer behaviour insights, competitive intelligence, and financial modelling to help learners understand how pricing decisions impact revenue, profitability, and market positioning. It covers core concepts such as price elasticity, segmentation‑based pricing, dynamic pricing, A/B testing, and optimisation techniques used in digital, retail, and service environments. Learners explore how analytics supports strategic pricing decisions in real‑world business contexts.

Target Audience

• Pricing analysts and revenue management professionals

• Marketing, finance, and product teams involved in pricing decisions

• Business analysts and data analysts

• Retail, e‑commerce, and service‑sector professionals

• Early‑career professionals entering analytics, strategy, or commercial roles

Course Outcomes

• Understand key pricing concepts and their impact on revenue and profitability

• Analyse customer willingness‑to‑pay using quantitative and behavioural data

• Apply price elasticity, segmentation, and optimisation techniques

• Use competitive and market data to inform pricing strategies

• Evaluate dynamic pricing models used in digital and service industries

• Conduct A/B tests and interpret pricing experiment results

• Translate analytical insights into actionable pricing recommendations

• Assess ethical and customer‑perception considerations in pricing decisions