Friday, May 24, 2019

Mark Ross-Smith

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Expert Airline FFP and Loyalty Industry speaker, author and thought leader. Mark has Headed up Loyalty with Malaysia Airlines & CEO roles in telco and hospitality loyalty companies. Mark advises loyalty programs and travel organisations on connecting the dots between data and high-revenue opportunities.
loyalty game mechanics
Airlines

Using Loyalty Game Mechanics to Increase Revenue Per Seat

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Use data intelligence to understand your customers
Business Intelligence

Using data intelligence to understand your customers

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changing frequent flyer programs
Airlines

Should airline management be forced to pay full price for tickets?

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Airlines

Simple Actions To Increase Loyalty Revenue

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Airlines

Measuring Loyalty – Tracking passengers who fly with competing airlines

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Airlines

How airline loyalty programs use big data to drive new revenue

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Airlines

Disrupting Airline Loyalty – The billion dollar risk airlines are taking

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Analytics

Predicting Loyalty Churn – Cathay Pacific Marco Polo [Case Study]

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Uncategorized

Care and Feeding of Machine Learning in Marketing

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Uncategorized

7 Surprising Ways That Airlines Mine Personal Data

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Propensity Modelling - Travel Data Daily
Analytics

Audience Fragmentation – Propensity & Behavioural Scoring

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Analytics

Stop Chasing Millennials. Instead, use data to drive marketing

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Big Data

How Big Data Is Driving Loyalty Program Revenue

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AirBNB

Interview with Airbnb host management platform, GuestReady

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american express black card
Big Data

Hacking the American Express Big Data System for your advantage

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Big Data

Talking Data with Hilton: Jonathon Wardman, Vice President CRM

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Big Data

Creating a 360-degree customer view using big data

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Business Intelligence

5 Simple Ways Hotels Use Data To Increase Revenue

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Airlines

Could Machine Learning Help Cathay Pacific Save Millions From Travel Delays?

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Hotels

Talking Big Data with HotelQuickly

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Big Data

Dark Data: The billion dollar opportunity

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Big Data

Uber acquires machine learning startup

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Big Data

Can Uber predict your credit rating more accurately than banks?

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Insights

Google reveals how travelers use their smartphone

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Frequent Flyer Programs

How To Monetize Award Inventory in the Age of Data-Driven Travel

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