Hospitality Revenue Analytics

Course Overview

A practical, hospitality‑focused course that teaches learners how to use data to optimise room revenue, pricing, occupancy, channel performance, and guest profitability across hotels, resorts, and accommodation businesses. The course covers demand forecasting, dynamic pricing, segmentation, distribution analytics, RevPAR optimisation, competitor benchmarking, and data‑driven decision‑making for revenue management teams.

Target Audience

• Revenue managers, pricing analysts, and hotel operations teams

• Sales, marketing, and distribution professionals in hospitality

• Data analysts, BI developers, and forecasting teams

• Property managers, front‑office leaders, and hospitality consultants

• Students or professionals entering hospitality, tourism, or revenue analytics

Course Outcomes

• Understand hospitality revenue models, KPIs, and performance frameworks (RevPAR, ADR, OCC, GOPPAR)

• Analyse demand patterns, booking curves, seasonality, and guest segments

• Apply forecasting models for occupancy, revenue, and pricing decisions

• Evaluate channel performance, distribution costs, and OTA vs direct‑booking dynamics

• Use competitive benchmarking (rate shops, market indices) to inform pricing

• Build dashboards for revenue performance, demand insights, and pricing optimisation

• Identify revenue opportunities, leakage points, and operational inefficiencies

• Communicate revenue insights clearly to sales, marketing, operations, and leadership teams