Use CaseMarketingTransportation & Logistics / Airlines

Personalise loyalty programs and promotional offerings to individual customers

Personalise loyalty programs and promotional offerings to individual customers - typically this will involve balancing availability of time-sensitive supplier capacity (e.g. airline seats) with customer demand and preference profile

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Revenue

Revenue - Pricing optimisation

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Revenue

Revenue - Customer proposition optimisation (content)

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Revenue

Revenue - Customer engagement

Description

Personalise loyalty programs and promotional offerings to individual customers

Benefits & ROI

0.4

Linked Case Studies

Case Study

Domino''s Pizza

Domino''s Pizza uses image recognition to award customer loyalty points based on photos

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Case Study

Caesars Entertainment

Caesars Entertainment offers customers on the casino floor real-time incentives to bet more by identifying their behaviour and emotions through machine vision

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Case Study

Caesars Entertainment

Caesar Entertainment drives revenue by optimising floor layouts, pricing and even restaurant menus to better match customer segments

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Case Study

Caesars Entertainment

Caesars Entertainment improves promotional targeting having increased customer individual spend tracking from 58 to 85 percent with loyalty programs and machine learning

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Source: mckinsey.com · Editor: original-sdg