Hospitality Revenue Analytics

Revenue Analytics Coach

I help hotels reach the highest levels of revenue analytics sophistication.

Robert Hernandez | Direct/Text: 786.704.2277 |

I mentor top Revenue Managers and teams in the science of creating data-driven RM tactics.  Working side-by-side with property RMs or GMs, I help hotel companies bridge the analytics talent gap that exists in the Revenue Management profession by building customized pricing models, automated reporting, and anaytical processes. I consult on-site and remotely.

I Help RMs Answer These Questions


Revenue Optimization

What is the combination of rate changes that will give us the most Total Profit? What is the best rate strategy to re-position my hotel(s)? What rate should I offer a specific group?  What channel should I close? When and what type of marketing offers are needed to drive demand?


Hotel Pricing Analytics

Which Analytics tool is most applicable to solve a particular RM problem? Can a problem which affects profit be solved mathematically or predictively? How can I formulate a specific challenge into a research question?


Hotel Profit Modeling

How can I leverage technology and math to make the thousands of RM decisions I have to make every day? How do I automate recurring decisions that are specific to my hotel’s unique RM strategy, e.g. free upgrades? Which data mining algorithm is best suited to address a particular challenge?


Demand Forecasting

Have the demand patterns changed significantly? What is the likely demand given a certain rate offering? What ADR and RevPAR can I expect? What is the demand pattern by market, source, room type, rate type, guest type and event?

Typical Revenue Management Projects

  • Identify the underlying principles, reasons, or facts for financial results by breaking down PMS/POS data into granular levels.
  • Translate or explain to upper management what information means and how it can be used .
  • Provide revenue strategy and functional expertise and leadership to General Managers, Asset Mangers, and owners.
  • Provide training, mentoring, coaching, and leadership to Revenue Management staff, from novice to seasoned.
  • Analyze competitive sets, price positioning, seasonality, mix and displacement using advanced mathematics.
  • Analyze data from all available systems to identify developing trends, future need periods and obstacles to achieving financial and operational goals.
  • Provide recommendations to improve effectiveness of Revenue Management processes.
  • Determine the demand and price elasticity for all goods and services for a property. Determine optimum operating hours and menu prices for all departments.
  • Develop tools to analyze total revenue patterns and make recommendations on how to best maximize revenue for each department.
  • Build systems and processes to generate quantitative metrics and data analysis to drive asset management decisions that can increase cash flow and asset value.

These are Some of the Automated Reports and Models That I Have Built

  • Automated Rate Optimization Models
  • Yield Models
  • Room Availability Optimization
  • Competitive Set Strategy Analysis
  • Group Rate Optimization Model
  • Optimal Market Mix Analysis
  • Meeting Space Optimization Model
  • Guest Spend Analysis
  • Labor Standards & Scheduling Optimization
  • Guest Behavioral Analysis and Segmentation Guest Scoring
  • Integrated Data Reports
  • Marketing Analytics Models
  • Promotion Effectiveness Studies
  • Real-time Forecasting
  • Google Analytics Reporting
  • F&B Drivers Analysis
  • Spa Utilization Analysis Model
  • Outlets Menu Optimization Analysis
  • Total Demand Models
  • Total Profit Optimization Models
  • Advanced Key Performance Indicators
  • Decision Rules Documentation

Technical Skill Set

  • Opera
  • Agylisis
  • Springer Miller
  • Micros
  • RoomMaster
  • IQWare
  • SQL
  • TSQL
  • VBA
  • VBScript
  • XML
  • HTML
  • SAS
  • R Package
  • Tableau
  • Crystal Reports
  • Microsoft Excel
  • Microsoft Powerpoint
  • Microsoft Access

Analytics Skills Set

  • Data Exploration
  • ETL [Extract, Transform, Load]
  • Data Mining
  • Data Integration
  • Confidence Testing
  • Clustering
  • Market Basket Analysis
  • Segmentation Behavioral Analysis
  • Guest Scoring
  • Predictive Analytics
  • Multivariate Regressions
  • Decision Trees
  • Classification Trees
  • Neural Networks
  • Time Series
  • Process Models
  • Additive Models
  • Operations Research
  • Discriminant Analysis

Robert Hernandez | Revenue Analytics | Direct/Text: 786.704.2277 |