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Personalise product offerings to target individual consumers

Personalise product offerings to target individual consumers based on multiple data sources (e..g mobile, social media, location, etc.) and historic / comparable behaviour patterns.

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Revenue

Revenue - Personalisation

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Revenue

Revenue - Higher response rates

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Revenue

Revenue - Customer experience

Description

Personalise product offerings to target individual consumers

Benefits & ROI

1.2

Linked Case Studies

Sears exceeded the target customer numbers in 50% less time by better segmenting customers to improve loyalty programme and marketing campaign effectiveness with machine learning

Toronto-Dominion Bank

Toronto-Dominion(TD) Bank plans to offer personalised recommendations for its customers using deep learning

Trulia achieves double-digit increase in consumer engagement through a more personalized, predictive experience using machine vision

Proven offers personalised skincare products with the use of machine learning

Dorchester Collections

Dorchester Collections personalises guest experience with machine learning analytics

L’Oreal’s Makeup Genius app allows customers to see how the make up will look on them using augmented reality

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Source: mckinsey.com · Editor: original-sdg